MASTER of DATA SCIENCE and ARTIFICIAL INTELLIGENCE and MASTER of MATHEMATICS in DATA SCIENCE Submitted to the Ontario Universities Council on Quality Assurance

GRADUATE PROGRAM PROPOSAL OF MASTER OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE AND MASTER OF MATHEMATICS IN DATA SCIENCE Submitted to the Ontario Universities Council on Quality Assurance

VOLUME II – FACULTY CURRICULA VITAE

SEPTEMBER 2018 Curriculum Vitae – M. Data Science and Artificial Intelligence and M.Math in Data Science

TABLE OF CONTENTS Ben-David, Shai ...... 2 Browne, Ryan ...... 14 Chenouri, Shoja ...... 20 Coleman, Thomas (Tom) ...... 30 Cormack, Gordon (Gord) ...... 37 Fukasawa, Ricardo ...... 41 Ghodsi, Ali ...... 51 Grossman, Maura...... 62 Hoey, Jesse ...... 78 Hofert, Marius ...... 99 Ilyas, Ihab ...... 110 Koenemann, Jochen ...... 126 Larson, Kate...... 138 Li, Yuying ...... 147 Lin, Jimmy...... 155 Lysy, Martin ...... 198 Oldford, Wayne ...... 206 Ozsu, Tamer ...... 214 Poupart, Pascal ...... 230 Sanita, Laura ...... 247 Schonlau, Mathias ...... 262 Steiner, Stefan ...... 271 Swamy, Chaitanya ...... 281 Tuncel, Levent ...... 296 van Beek, Peter ...... 307 Vavasis, Stephen ...... 316 Wan, Justin ...... 321 Wolkowicz, Henry ...... 330 Yu, Yaoliang ...... 347 Zhu, Mu ...... 356 Zhu, Yeying ...... 366 Appendix A: Graduate Courses Taught by Faculty Members ...... 373

ii Professor Shai Ben-David

Professor Shai Ben-David

Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes Hebrew Yes Yes Yes Yes Yes

Degrees

1983/9 - 1987/4 Doctorate, Mathematics, mathematics, The Hebrew University of Jerusalem Degree Status: Completed Supervisors: Shelah, S, 1983/9 - 1987/4 1975/9 - 1976/10 Master's Thesis, Mathematics (with distinction), mathematics, The Hebrew University of Jerusalem Degree Status: Completed Supervisors: Shelah, S, 1975/9 - 1972/10 - 1975/7 Bachelor's Honours, Mathematics and Physics (with distinction), mathematics, The Hebrew University of Jerusalem Degree Status: Completed

Recognitions

2011/7 - 2011/7 Best Student Paper award (Canadian dollar) COLT 2011 Distinction This paper has won the Best Student Paper award in COLT 2011 2006/7 COLT Best student paper award Distinction The paper with my student David Pal won the COLT 2006 Best Student Paper award

User Profile

Fields of Application: Foundations and Knowledge Acquisition Areas of Research: Computer Science and Statistics Research Specialization Keywords: theoretical machine learning, clustering Research Disciplines: Computer Science

2 Professor Shai Ben-David Employment

2004/9 - 2014/12 Professor Computer Science, University of Waterloo Full-time, Professor Tenure Status: Tenure, 2004/9 - 2014/12 2001/8 - 2004/7 Visiting Professor ECE, Cornell University Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track, 2002/8 - 2004/7 1998/1 - 2004/4 Associate Professor Computer Science, Technion - Israel Institute of Technology Full-time, Associate Professor Tenure Status: Tenure, 1997/1 - 2004/4 1997/9 - 1998/8 Visiting Professor Computer Science, Australian National University Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track, 1997/9 - 1998/8 1987/9 - 1996/4 Assistant Professor Computer Science, Technion - Israel Institute of Technology Full-time, Assistant Professor Tenure Status: Tenure Track, 1987/9 - 1996/4 1985/9 - 1987/4 Postdoctoral Fellow Computer Science, University of Toronto Full-time, Lecturer Tenure Status: Non Tenure Track, 1985/9 - 1987/4

Affiliations The primary affiliation is denoted by (*) (*) 2009/6 - 2012/7 President of the Association for Computational Learning (ACL), President of the Association for Computational Learning (ACL)

Research Funding History

Completed [n=3] 2011/1 - 2014/3 Google research award, Scholarship Principal Applicant Funding Sources: 2011/1 - 2013/3 Google Total Funding - 25,000 Portion of Funding Received - 100 Funding Competitive?: Yes

2009/4 - 2014/3 NSERC Discovery, Grant Principal Applicant

Professor Shai Ben-David Funding Sources: 2008/4 - 2014/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 200,000 Portion of Funding Received - 100 Funding Competitive?: Yes

2008/4 - 2013/3 Discovery Accelerator Supplement, Grant Principal Applicant Funding Sources: 2008/4 - 2013/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 120,000 Portion of Funding Received - 100 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Master’s Thesis [n=10] 2014/9 - 2016/7 Hao (Michael) Yang (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2016/7 Thesis/Project Title: To b edetermined Present Position: Masters studnet 2014/4 - 2015/7 Ali, Rabail (In Progress) , University of Waterloo Principal Supervisor Student Degree Start Date: 2014/4 Student Degree Expected Date: 2015/7 Thesis/Project Title: N/A 2013/9 - 2017/4 Szepasvari, David (In Progress) , University of Waterloo Principal Supervisor Student Degree Start Date: 2013/9 Student Degree Expected Date: 2017/4 Thesis/Project Title: N/A 2012/1 - 2014/8 Kushagra, Shrinu (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2013/3 Thesis/Project Title: Niceness Properties for Learning Algorithms Present Position: PhD student, University of Waterloo 2011/9 - 2013/8 Haghtalab, Nika (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2011/9 Student Degree Received Date: 2013/8 Thesis/Project Title: N/A 2011/9 - 2013/8 Luu, Teresa (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2011/9 Student Degree Received Date: 2013/8 Thesis/Project Title: N/A 2011/9 - 2013/8 Lu, Tayler (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2011/9 Student Degree Received Date: 2013/8 Thesis/Project Title: N/A

4 Professor Shai Ben-David McCrosky, Jesse (Completed) , University of Waterloo 2011/9 - 2013/8 Student Degree Start Date: 2011/9 Principal Supervisor Student Degree Received Date: 2013/8 Thesis/Project Title: N/A Hassanpour, Said (Completed) , University of Waterloo 2011/9 - 2013/8 Student Degree Start Date: 2011/9 Principal Supervisor Student Degree Received Date: 2013/8 Thesis/Project Title: N/A Wulff, Sharon (Completed) , University of Waterloo 2011/9 - 2013/8 Student Degree Start Date: 2011/9 Principal Supervisor Student Degree Received Date: 2013/8 Thesis/Project Title: N/A

Doctorate [n=6] 2014/9 - 2018/7 Shrinu Kushagra (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: To be decided Present Position: PhD student, University of Waterloo 2013/9 - 2017/4 Ashtiani, Mohammad Hassan Zokaei (In Progress) , University of Waterloo Principal Supervisor Student Degree Start Date: 2013/9 Student Degree Expected Date: 2017/4 Thesis/Project Title: N/A 2010/5 - 2013/9 Urner, Ruth (Completed) , University of Waterloo Co-Supervisor Student Degree Start Date: 2010/5 Student Degree Received Date: 2013/9 Thesis/Project Title: N/A Other Supervisors: Co-Supervisor - Oldford, Wayne 2009/9 - 2014/12 Loker, David (In Progress) , University of Waterloo Principal Supervisor Student Degree Start Date: 2009/9 Student Degree Expected Date: 2014/12 Thesis/Project Title: N/A 2008/1 - 2012/6 Ackerman, Margareta (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2008/1 Student Degree Received Date: 2012/6 Thesis/Project Title: N/A 2005/1 - 2009/10 Pal, David (Completed) , University of Waterloo Principal Supervisor Student Degree Start Date: 2005/1 Student Degree Received Date: 2009/10 Thesis/Project Title: N/A

Doctorate Equivalent [n=1] 2014/9 - 2018/7 Samira Samadi (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/7 Thesis/Project Title: To be determined Present Position: Graduate student, university of waterloo

Professor Shai Ben-David Post-doctorate [n=1] 2014/9 - 2015/8 Vinayak Pathak (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Computational complexity of clustering Present Position: Post-doctorate fellow

Event Administration

2009/6 - 2012/7 President, Association for Computational Learning (ACL), Association, 2009/6 - 2012/7 2009/12 - 2009/12 Organizing Committee Member, NIPS’09 Clustering – Art or Science?, Workshop, 2009/12 - 2009/12

Editorial Activities

2006/1 - 2009/12 Member of Editorial Board, Theoretical Computer Science, Journal 2006/1 - 2008/12 Member of Editorial Board, Member of the editorial board of Information and Computation, Journal

International Collaboration Activities

2012/6 visiting professor, Swaziland I am collaborating with researchers at ETH Zurich. I have spent there two month, researching and supervising graduate students in summer 2012, and have been visiting to continue those activities once a year since. 2009/10 visiting professor, Israel I am participating in research projects at the Hebrew University Jerusalem, visiting there a couple of times each year (usually for one week visits). 2011/10 - 2015/3 visiting profesor, United States I have part time affiliation with Toyota Technological Research Institute in Chicago. I visit there for a few weeks each year, participating in collaborative research and graduate supervision there.

Committee Memberships

2014/2 - 2014/6 Committee Member, COLT’2014, 27th Annual workshop on Computational Learning Theory, COLT’2014 2014/2 - 2014/6 Committee Member, ALT 2014, Annual international conference on Algorithmic Learning Theory, ALT 2014 2013/2 - 2013/6 Committee Member, COLT’2013, 26th Annual workshop on Computational Learning Theory, Princeton University 2012/5 - 2012/12 Group Chair, NIPS2012 – 24th Annual Conference on Neural Information Processing Systems, NIPS2012

Professor Shai Ben-David 2012/2 - 2012/6 Committee Member, ALT 2012, Annual international conference on Algorithmic Learning Theory, Lion 2012/2 - 2012/6 Committee Member, ICML 2012, International conference on Machine Learning, University of Edinburgh 2012/2 - 2012/6 Committee Member, COLT’2012, 25th Annual workshop on Computational Learning Theory, University of Edinburgh 2011/5 - 2011/10 Committee Member, ALT’2011 22nd annual international conference on Algorithmic Learning Theory, University of Eastern Finland 2011/2 - 2011/6 Committee Member, COLT’2011, 24th Annual workshop on Computational Learning Theory, Corvinus University of Budapest 2010/2 - 2010/6 Committee Member, COLT’2010, 23rd Annual workshop on Computational Learning Theory, University of Haifa 2008/2 - 2008/6 Committee Member, COLT’2008, 21th Annual workshop on Computational Learning Theory, University of Eastern Finland

Presentations

1. (2014). Leveraging unlabeled and poorly labeled samples for classification prediction learning. Nanjing University LAMDA group, Nanjing, China Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 2. (2014). Clustering in the Presence of Background Noise. ICML conference, Beijing, China Main Audience: Knowledge User Invited?: No, Keynote?: Yes 3. (2014). The sample complexity of learning deterministic classifiers. ITA workshop, San Diego, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 4. (2014). Theoretical foundations of clustering. 2014 Machine Learning Summer School Beijing, Beijing, China Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 5. (2014). Theoretical Foundations of clustering. CSML Masterclass Series, London, United Kingdom Main Audience: General Public Invited?: Yes, Keynote?: Yes 6. (2014). Understanding Machine Learning – a theory perspective. School of CS colloquium talk, Montreal, Canada Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 7. (2014). The computational complexity of clustering. Dagstuhl Seminar, Dagstuhl, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2013). Is learning possible without prior knowledge?. ITA, San Diego, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes

Professor Shai Ben-David 9. (2013). Can there be ”Universal” learning algorithms?. IST, Vienna, Italy Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 10. (2013). Understanding Domain Adaptation Learning - the good and the not good. NIPS 2013, Lake Tahoe, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 11. (2013). A theoretical approach to the clustering selection problem. MultiClust annual workshop, Chicago, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 12. (2013). Theoretical Analysis of Domain Adaptation – Current state of the art. CISE lecture series. Boston University, Boston, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 13. (2012). On the Hard- ness of Domain Adaptation (And the Utility of Unlabeled Target Samples). 23rd Algorithmic Learning Theory conference, Lyon, France Main Audience: Knowledge User Invited?: No, Keynote?: Yes 14. (2012). Learningtasksarefeasible on real inputs. The 4th NIPSDISCML workshop, Lake Tahoe, United States Main Audience: Knowledge User Invited?: No, Keynote?: Yes 15. (2012). Alternative Measures of Computational Complexity with Applications to Machine Learning. ETH Zurich, Department of Computer science semina, Zurich, Germany Main Audience: Knowledge User Invited?: No, Keynote?: Yes 16. (2012). No Free Lunch results - can there be learners that do not require task-specific knowledge?. 36th Annual Conference of the German Classification Society on Data Analysis, Machine Learning and Knowledge Discovery, Berlin, Germany Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 17. (2011). Universal Learning vs. No Free Lunch Results. NIPS 2011 workshop on Philosophy and Machine Learning, Sierra Nevada, Spain Main Audience: Knowledge User Invited?: Yes, Keynote?: No 18. (2011). Utilizing unlabeled and weakly labeled samples in classification learning tasks. 2nd Workshop on Applications of Pattern Analysis, Ciem, Spain Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 19. (2011). Utilizing unlabeled samples for domain adaptation learning. NIPS 2011 workshop on Domain Adaptation, Sierra Nevada, Spain Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 20. (2011). Is Learning Possible without Prior Knowledge?. Empirical Inference symposium, Tuebingen, Germany Main Audience: Knowledge User Invited?: Yes, Keynote?: No

Professor Shai Ben-David 21. (2011). Can the P vs NP question be independent of the axioms of mathematics?. MIT summer school on SAT/SMT, Cambridge, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 22. (2011). Utilizing unlabeled samples for domain adaptation. Invited seminar talk Microsoft Research Lab, Cambridge, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 23. (2011). On the existence of universal learners - can one learn without prior knowledge?. Colloquium talk (invited). School of Computer Science and Engineering, The Hebrew University of Jerusalem, Haifa, Israel Invited?: Yes, Keynote?: Yes 24. (2010). Which clustering algorithm should I use? Towards principled guidelines. Tel Aviv University CS colloquium talk, haifa, Israel Main Audience: Knowledge User Invited?: No, Keynote?: Yes 25. (2010). Which clustering algorithm should I use? Towards principled guidelines. Hebrew University, Jerusalem, CS seminar, Haifa, Israel Invited?: No, Keynote?: Yes 26. (2010). Clustering without any subjective similarity information. ICML workshop, Haifa, Israel Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes Description / Contribution Value: Learning in Non-(geo)metric Space 27. (2008). Incorporating prior knowledge and empirical evidence in the choice of a learning bias. NIPS’08 workshop on Empirically Defined Hypothesis Spaces, Vancouver, Canada Main Audience: Knowledge User Invited?: Yes, Keynote?: No 28. (2008). The theory of clustering and its practical implications. Distinguished lecture series. Queens University, Toronto, Canada Main Audience: Knowledge User Invited?: Yes, Keynote?: No 29. (2008). the sample complexity cost of choosing a kernel. NIPS08 workshop, Whistler, Canada Main Audience: Knowledge User Invited?: Yes, Keynote?: No 30. (2008). Theoretical Foundations of Clustering. Machine Learning Summer School (MLSS08), Ile De Re, France Main Audience: Knowledge User Invited?: Yes, Keynote?: No

Publications

Journal Articles 1. Ben-David S, Urner R(*). (2014). Domain adaptation-can quantity compensate for quality?. Annals of Mathematics and Artificial Intelligence. 70: 185-202. First Listed Author Published, Refereed?: Yes, Open Access?: No

Professor Shai Ben-David 2. Daniely A(*), Sabato S, Ben-David S, Shalev-Shwartz S. (2013). Multiclass learnability and the ERM principl. CORR 2013. Co-Author Published, United States Refereed?: No, Open Access?: No 3. Daniely A(*), Sabato S, Ben-David S, Shalev-Shwartz S. (2011). Multiclass Learnability and the ERM principle. Machine Learning Research. 19: 207-232. Co-Author Published, Refereed?: Yes, Open Access?: No 4. Ben-David S, Blitzer J, Crammer K, Kulesza A (*), Pereira F, Vaughan J. (2010). A theory of learning from different domains. Machine Learning. 79(1-2): 151-175. First Listed Author Published, Refereed?: Yes, Open Access?: No 5. Beskales G(*), Soliman M(*), Ilyas I, Ben-David S. (2009). Modeling and Querying Possible Repairs in Duplicate Detection. PVLDB. 2(1): 598-609. Co-Author Published, Refereed?: Yes, Open Access?: No 6. Ben-David S, Schuller R. (2008). A Notion of Task Relatedness Yielding Provable Multiple-Task Learning Guarantees. Machine Learning Journal. : 18 pages. First Listed Author Published, Refereed?: Yes, Open Access?: No 7. Ben-David S. (2008). Dataset Shift in machine learning. : 14 pages. First Listed Author Published, Refereed?: Yes, Open Access?: No Editors: Candela J, Lawrence N, Schwaighofer A, Sugiyama M

Books 1. Shai Shalev-Schwarz and Shai Ben-David. (2014). Understanding Machine Learning: from theory to algorithms. Published, Cambridge University Press, Refereed?: Yes

Book Chapters 1. Ben-David, S. (2008). Data Representation Framework Addressing the Training/Test Distributions Gap. Joaquin Quionero-Candela Masashi Sugiyama Anton Schwaighofer Neil D. Lawrence. Dataset Shift in Machine Learning. 1st: 73-84. Published, MIT Press, Refereed?: Yes

Professor Shai Ben-David Conference Publications 1. Ben-David S., Haghtalab N(*). (2014). Clustering in the Presence of Background Noise. ICML 2014. ICML 2014, Beijing, China, Conference Date: 2014/6 Paper Co-Author Published Refereed?: Yes, Invited?: No 2. Ben-David S, Urner R. (2014). The sample complexity of agnostic learning under deterministic labels. COLT 2014. COLT 2014, Barcelona, Spain (527-542), Conference Date: 2014/6 Paper First Listed Author Published Refereed?: Yes, Invited?: No 3. Ben-David S. (2013). A theoretical approach to the clustering selection problem. MultiClust@KDD 2013. MultiClust@KDD 2013, Chicago, United States, Conference Date: 2013/8 Paper First Listed Author Published Refereed?: Yes, Invited?: No 4. Wulff S(*), Urner R(*), Ben-David S. (2013). Monochromatic Bi-Clustering. ICML 2013. ICML 2013, Atlanta, United States (145-153), Conference Date: 2013/6 Paper Co-Author Published Refereed?: Yes, Invited?: No 5. Urner R, Wulff S, Ben-David S. (2013). PLAL: Cluster-based active learning. COLT 2013. COLT 2013, Princeton, United States (376-397), Conference Date: 2013/6 Paper Co-Author Published Refereed?: Yes, Invited?: No 6. Ackerman M, Ben-David S, Loker D(*), Sababto S. (2013). Clustering Oligarchies. AISTATS 2013. AISTATS 2013, Scottsdale, United States (66-74), Conference Date: 2013/4 Paper Co-Author Published Refereed?: Yes, Invited?: No 7. Ben-David S, Urner R(*). (2012). On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples. ALT 2012. ALT 2012, Lyon, France (139-153), Conference Date: 2012/10 Paper First Listed Author Published Refereed?: Yes, Invited?: No

Professor Shai Ben-David 8. Ben-David S. (2012). Theoretical analysis of domain adaptation - current state of the art. MLSLP 2012. MLSLP 2012, Portland, United States, Conference Date: 2012/9 Paper First Listed Author Published Refereed?: Yes, Invited?: No 9. Ackerman M, Ben-David S, Branzei S(*), Loker D(*). (2012). Weighted Clustering. 26th AAAI Conference on Artificial Intelligence, 2012. 26th AAAI Conference on Artificial Intelligence, 2012, Toronto, Canada, Conference Date: 2012/7 Paper Co-Author Published Refereed?: Yes, Invited?: No 10. Ben-David S, Loker D(*), Srebro N, Sridharan K. (2012). Minimizing The Misclassification Error Rate Using a Surrogate Convex Loss. ICML 2012. ICML 2012, Edinburgh, United Kingdom, Conference Date: 2012/6 Paper First Listed Author Published Refereed?: Yes, Invited?: No 11. Urner R(*), Ben-David S, Shamir O. (2012). Learning from Weak Teachers. AISTATS 2012. AISTATS 2012, La Palma, Spain, Conference Date: 2012/4 Paper Co-Author Published Refereed?: Yes, Invited?: No 12. Ben-David S, Urner R(*). (2012). Domain Adaptation--Can Quantity compensate for Quality?. ISAIM 2012. ISAIM 2012, Fort Lauderdale, United States, Conference Date: 2012/1 Paper First Listed Author Published Refereed?: Yes, Invited?: No 13. Ben-David Shalev (*), Ben-David Shai. (2011). Learning a Classifier when the Labeling Is Known. ALT 2011. ALT 2011, Espoo, Finland (440-451), Conference Date: 2011/10 Paper Co-Author Published Refereed?: Yes, Invited?: No 14. Daniely A(*), Sabato S(*), Ben-David S, Shalev-Shwartz S. (2011). Multiclass Learnability and the ERM principle. COLT 2011. COLT 2011, Budapest, Hungary (207-232), Conference Date: 2011/7 Paper Co-Author Published Refereed?: Yes, Invited?: No Description / Contribution Value: This paper has won the Best Student Paper award in COLT 2011

Professor Shai Ben-David 15. Ackerman M(*), Ben-David S. (2011). Discerning Linkage-Based Algorithms among Hierarchical Clustering Methods. IJCAI 2011. IJCAI 2011, Barcelona, Spain (1140-1145), Conference Date: 2011/7 Paper Co-Author Published Refereed?: Yes, Invited?: No 16. Urner R(*), Ben-David S., Shalev-Shwartz S.(2011). Access to Unlabeled Data can Speed up Prediction Time. ICML 2011. ICML 2011, Bellevue, United States (641-648), Conference Date: 2011/6 Paper Co-Author Published Refereed?: Yes, Invited?: No

Dr. Ryan Browne Dr. Ryan Browne Department of Statistics and Actuarial Science Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes

Degrees

- 2009/8 Doctorate, Statistics, University of Waterloo Supervisors: R. Jock MacKay, 2007/1 - 2009/8; Stefan Steiner, 2007/1 - 2009/8 - 2006/8 Master's non-Thesis, Mathematics, University of Waterloo - 2004/8 Bachelor's, Mathematics, University of Waterloo

Recognitions

2015/7 Chikio Hayashi Award for Young Researchers International Federation of Classification Societies Prize / Award The IFCS (International Federation of Classification Societies) provides awards to single persons in the framework of its Chikio Hayashi Awards Program (CHA). Awards are given to promising researchers who started contributing to the domains of classification, data analysis and related areas, and who are in the early stages of their professional careers. 2011/8 W.J. Youden Award in Interlaboratory Testing - 1,000 American Statistical Association Prize / Award The W. J. Youden Award in Interlaboratory Testing was established in 1985 to recognize the authors of publications that make outstanding contributions to the design and/or analysis of interlaboratory tests or describe ingenious approaches to the planning and evaluation of data from such tests. The award is presented annually if, in the opinion of the awards committee, an eligible and worthy publication is nominated.

User Profile

Research Specialization Keywords: Computational Statistics, Expectation Maximizaton, Finite Mixture Models, Model Based Clustering

Dr. Ryan Browne Employment

2015/7 Assistant Professor Statistics and Actuarial Science, Waterloo, University of Waterloo Full-time, Term, Assistant Professor Tenure Status: Tenure 2014/7 - 2015/6 Assistant Professor Math and Stat, McMaster University Full-time, Term, Assistant Professor Tenure Status: Non Tenure Track 2011/9 - 2014/6 Assistant Professor Math and Stat, University of Guelph Full-time, Term, Assistant Professor Tenure Status: Non Tenure Track 2010/2 - 2011/9 Postdoctoral Research Fellow Math and Stat, Guelph, University of Guelph Full-time, Term Tenure Status: Non Tenure Track 2009/9 - 2010/1 Postdoctoral Research Fellow Cancer Clinical Trials Division, NCIC Clinical Trials Group Full-time, Term Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=1] 2012/3 - 2017/4 Model-Based Clustering for Manifest Variables of Mixed Type, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 75,000 Portion of Funding Received - 75,000 Funding Competitive?: Yes

Completed [n=1] 2012/11 - 2016/11 Sensory-informed experimental design and modeling time-intensity, Grant Co-investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative Research and Development Grants Total Funding - 400,000 Portion of Funding Received - 60,000 Funding Competitive?: Yes Principal Applicant : Paul McNicholas

Dr. Ryan Browne

Student/Postdoctoral Supervision

Master’s non-Thesis [n=4] 2013/9 - 2014/8 Tayal, Aditi (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Bioinformatics Masters Project Present Position: Research Analyst, University of Missouri 2012/9 - 2013/8 Tilak, Manali (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Analysis of CpGs in Human Transcription Factor Binding Sites Present Position: PhD Candidate, Molecular and Cellular Biology, Guelph 2012/9 - 2013/8 Mostofi Pour, Mostafa (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Identification of macro-synteny and micro-synteny blocksin Zebrafish (Danio rerio) genome Present Position: Senior Database/BI Developer, Worldpay 2012/9 - 2013/8 Lee, Jung (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Profiling of Cancer Stem Cell Gene Expression Induced by Hypoxia and Hypoglycemia in the Human Colorectal Cancer Cell Line HTC116 Present Position: Unknown, Unknown

Master’s Thesis [n=2] 2012/9 - 2013/8 Tang, Yang (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Model-based Clustering of High-dimensional Binary Data Present Position: Postdoctoral Fellow, McMaster University 2012/1 - 2012/12 Murray, Paula (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Mixtures of Skew-t Factor Analyzers Present Position: Methodologist, Biostatistics, Cancer Care Ontario

Doctorate [n=5] 2013/9 - 2017/4 Tang, Yang (Completed) , Guelph/McMaster Co-Supervisor Thesis/Project Title: Dimensionality Reduction with Non-Gaussian Mixtures Present Position: Postdoctoral Fellow, McMaster University 2013/1 - 2016/4 Murray, Paula (Completed) , Guelph/McMaster Co-Supervisor Thesis/Project Title: Detecting Non-Elliptical Clusters Present Position: Methodologist, Biostatistics, Cancer Care Ontario 2012/5 - 2016/4 McNicholas, Sharon (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Topics in Evolutionary Computation and Model-Based Clustering Present Position: Assistant Professor, McMaster University 2010/5 - 2014/12 Li, Moyi (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Model-Based Clustering for Sensory Data and Liking Present Position: Unknown, Unknown 2010/1 - 2014/12 Franczak, Brian (Completed) , University of Guelph Co-Supervisor Thesis/Project Title: Mixtures of Shifted Asymmetric Laplace Distributions Present Position: Assistant Professor, MacEwan University

Dr. Ryan Browne

Presentations

1. (2015). A Hidden Truncation Hyperbolic Distribution. International Federation of Classification Societies, Bologna, Italy Invited?: No, Keynote?: No 2. (2013). A Mixture of Generalized Hyperbolic Distributions. Classification Society, Milwaukee, United States Invited?: Yes, Keynote?: No 3. (2012). Sensory Informed Incomplete Block Designs. Statistical Society of Canada Annual Meeting, Guleph, Canada Invited?: Yes, Keynote?: No 4. (2012). Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models. Working Group on Model-Based Clustering, Guleph, Canada Invited?: Yes, Keynote?: No 5. (2012). Sensory Informed Incomplete Block Designs. Sensometrics, Rennes, France Invited?: No, Keynote?: No 6. (2012). Model-based Clustering and Classification of Data with Mixed Type. MBC2: Model Based Clustering and Classification, University of Catania, Catania, Italy Invited?: Yes, Keynote?: No 7. (2011). Model-based Clustering and Classification Using Mixtures of Gaussian and Uniform Distributions. Working Group in Model-Based Clustering, Glasgow, United Kingdom Invited?: No, Keynote?: No

Publications

Journal Articles

1. Dang U*, Punzo A, McNicholas P, Ingrassia S, Browne RP. (2017). Multivariate response and parsimony for Gaussian cluster-weighted models. Journal of Classification. 34(1): 4-34. Published Refereed?: Yes 2. Murray PM*, Browne RP, McNicholas PD. (2017). A Hidden Truncation Hyperbolic Distribution. Journal of Multivariate Analysis. Accepted Refereed?: Yes 3. Murray PM*, Browne RP, McNicholas PD. (2017). A Mixture of SDB Skew-t Factor Analyzers. Econometrics and Statistics. Accepted Refereed?: Yes 4. Azzalini A, Browne RP, Genton MG, McNicholas PD. (2016). On nomenclature for, and the relative merits of, two formulations of skew distributions. Statistics and Probability Letters. 110: 201-206. Published Refereed?: Yes 5. Punzo A, Browne RP, McNicholas PD et al. (2016). Hypothesis testing for mixture model selection. Journal of Statistical Computation and Simulation. 86(14): 2797-2818. Published Refereed?: Yes

17 Dr. Ryan Browne 6. Franczak BC*, Castura JC, Browne RP, Findlay CJ, McNicholas PD. (2016). Handling missing data in consumer hedonic tests arising from direct scaling: Imputation techniques for consumer hedonic tests.Journal of Senory Studies. 31(6): 514-523. Accepted Refereed?: Yes 7. Tortora C, McNicholas PD, Browne RP. (2016). A mixture of generalized hyperbolic factor analyzers. Advances in Data Analysis and Classification. 10(4): 423-440. Published Refereed?: Yes 8. Browne RP, McNicholas PD. (2015). A Mixture of Generalized Hyperbolic Distributions. Canadian Journal of Statistics. 43(2): 176-198. Published Refereed?: Yes 9. Franczak BC*, Browne RP, McNicholas PD, Findlay CJ. (2015). Product Selection for Liking Studies: The Sensory Informed Design. Food Quality and Preference. 44: 36-43. Published Refereed?: Yes 10. Dang UJ*, Browne RP, McNicholas PD. (2015). Mixtures of Multivariate Power Exponential Distributions. Biometrics. 71(4): 1081-1089. Published Refereed?: Yes 11. Tang Y*, Browne RP, McNicholas PD. (2015). Model Based Clustering of High-Dimensional Binary Data. Computational Statistics and Data Analysis. 87: 84-101. Published Refereed?: Yes 12. Franczak BC(*), Browne RP, McNicholas PD. (2015). Unsupervised Learning via Mixtures of Skewed Distributions with Hypercubes. Pattern Recognition Letters. 58(1): 69-76. Published Refereed?: Yes, Open Access?: No 13. Browne RP, McNicholas PD. (2015). Multivariate sharp quadratic bounds via -strong convexity and the Fenchel connection. Electronic Journal of Statistics. 9(2): 1913-1938. Published Σ Refereed?: Yes 14. Browne RP, McNicholas PD et al. (2014). Estimating the common principal components in high dimensions. Advances in Data Analysis and Classification. 8(2): 217-226. Published Refereed?: Yes 15. Browne RP, McNicholas PD. (2014). Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models.Statistics and Computing. 24(2): 203-210. Published Refereed?: Yes 16. Murray PM(*), Browne RP, McNicholas PD et al. (2014). Mixtures of skew-t factor analyzers. Computational Statistics and Data Analysis. 77: 326-335. Published Refereed?: Yes

Dr. Ryan Browne 17. Franczak BC*, Browne RP, McNicholas PD. (2014). Model-based clustering and classification using mixtures of shifted asymmetric Laplace distributions.IEEE Transactions in Pattern Analysis and Machine Intelligence. 36(6): 1149-1157. Published Refereed?: Yes 18. Murray PM*, McNicholas PD, Browne RP. (2014). A mixture of common skew-t factor analyzers. Stat. 3(1): 68-82. Published Refereed?: Yes 19. McNicholas PD, Browne RP, Murray PM*. (2013). Discussion of `Model-based clustering and classification with non-normal mixture distributions.Statistical Methods and Applications. 22(4): 467-472. Published Refereed?: Yes 20. McNicholas PD, Browne RP. (2013). Discussion of How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C. 62(3): 352-353. Published Refereed?: Yes 21. Stevens NT, Steiner SH, Browne RP, McKay RJ. (2013). Gauge R&R Studies that In-corporate Baseline Information.IEEE Transactions on Quality. 45(11): 1166-1175. Published Refereed?: Yes 22. Browne RP, McNicholas PD. (2012). Model-based clustering and classification of data with mixed type. Journal of Statistical Planning and Inference. 142(11): 2976-2984. Published Refereed?: Yes 23. Browne RP, McNicholas PD, Sparling MD. (2012). Model-based learning using a mixture of mixtures of Gaussian and uniform distributions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(4): 814-817. Published Refereed?: Yes

Book Chapters 1. McNicholas SM*, McNicholas PD, Browne RP. (2017). A Mixture of Variance-Gamma Factor Analyzers. Big and Complex Data Analysis: Methodology and Applications. : 369-385. Published, Springer: New York. Refereed?: Yes 2. Browne RP, McNicholas PD. (2013). Mixture and latent class models in longitudinal and other settings. The SAGE Handbook of Multilevel Modelling. : 357-370. Published, SAGE Publications Ltd. Refereed?: Yes

19 Professor Shojaeddin Chenouri Department of Statistics and Actuarial Science

Language Skills Language Read Write Speak Understand Peer Review Azerbaijani Yes No Yes Yes No English Yes Yes Yes Yes Yes Persian Yes Yes Yes Yes Yes Degrees - 2005/6 Doctorate, Statistics, University of Waterloo Supervisors: Chistopher G. Small, 2001/5 - 2004/12 - 1996/9 Master's Thesis, Statistics, Shahid Beheshti University Supervisors: Siamak Noorbaloochi, 1993/9 - 1996/9 - 1993/7 Bachelor's, Statistics, Shahid Beheshti University Supervisors: Siamak Noorbaloochi, 1992/9 - 1993/7

User Profile

Research Specialization Keywords: Big Data Analytics, Computational Statistics, Data depth and it applications, Dimensionality reduction, Environmental and water quality research, Functional regression, Geometry of highdimensional data, High-dimensional nonparametric & robust methods, Multivariate quality control, Nonparametric function estimation, Statistical analysis of spike train data, Stochastic network graph modelling, Transportation Research

Employment 2012/7 Associate Professor Statistics & Actuarial Science, Faculty of Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2011/9 - 2017/6 Director of the Statistical Consulting & Collaborative Research Unit Statistics & Actuarial Science, Faculty of Mathematics, University of Waterloo Full-time, Consultation, Associate Professor Tenure Status: Tenure 2005/7 - 2012/6 Assistant Professor Statistics & Actuarial Science, Faculty of Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track

Professor Shojaeddin Chenouri Research Funding History Awarded [n=7] 2016/11 - 2021/11 ORF-RE Intelligent Metal Additive Manufacturing: A Key Enabler of Industry 4.0, Grant Co-applicant Funding Sources: Ontario Research Fund (ORF) ORF-RE Total Funding - 4,000,000 Portion of Funding Received - 200,000 Funding Competitive?: Yes Co-applicant : Adrian Gerlich; Ali Ghodsi; Amir Khajepour; Behrad Khamesee; Hamid Jahedmotlagh; Hani Naguib; Kaan Erkorkmaz; Kaan Inal; Mary Wells; Mihaela Luminita Vlasea; Norman Zhou; Shahrzad Esmaeili; Principal Applicant : Ehsan Toyserkani 2016/11 - 2019/11 FedDev Grant entitled "Waterloo 3D: Centre for Multi-Scale Additive Manufacturing Co-applicant Systems", Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) FED-DEV Total Funding - 8,900,000 Portion of Funding Received - 445,000 Funding Competitive?: Yes Co-applicant : Adrian Gerlich; Ali Ghodsi; Amir Khajepour; Behrad Khamesee; Hamid Jahedmotlagh; Kaan Erkorkmaz; Kaan Inal; Leonardo Simon; Mary Wells; Mihaela Vlasea; Norman Zhou; Principal Applicant : Ehsan Toyserkani 2014/4 - 2019/3 NSERC Individual Discovery Grant, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Individual Discovery Grant Total Funding - 55,000 Portion of Funding Received - 55,000 Funding Competitive?: Yes 2012/11 - 2018/11 Canada Foundation for Innovation (CFI) for project ``Data Analytics and Computational Principal Investigator Biostatistics", Grant Funding Sources: Canada Foundation for Innovation (CFI) CFI Total Funding - 207,103 Portion of Funding Received - 207,103 Funding Competitive?: Yes Principal Investigator : Ali Ghodsi; Richard Cook 2017/10 - 2018/10 The Water Institute Seed Grant Program on Towards statistical tools to assess Co-applicant microbial communities in contaminated water systems, Grant Funding Sources: University of Waterloo

Professor Shojaeddin Chenouri The Water Institute Seed Grant Total Funding - 20,000 Portion of Funding Received - 2,000 Funding Competitive?: Yes Co-applicant : Kim Handley; Monica Emelko; Neil Thomson; Steffen Klaere; Principal Applicant : Laura Hug 2013/2 - 2018/2 Ontario Research Fund – Research Infrastructure for project ``Data Analytics Principal Investigator and Computational Biostatistics", Grant Funding Sources: Ontario Research Fund (ORF) Total Funding - 207,103 Portion of Funding Received - 207,103 Funding Competitive?: Yes Principal Investigator : Ali Ghodsi; Richard Cook 2009/4 - 2014/3 NSERC Individual Discovery Grant, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 75,000 Portion of Funding Received - 75,000 Funding Competitive?: Yes Student/Postdoctoral Supervision

Bachelor’s [n=1] 2014/5 - 2015/8 Darrell Aucoin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Map-Reduce in Big Data Analysis Present Position: Machine Learning Researcher at Datalogue

Bachelor’s Honours [n=9] 2018/1 - 2018/4 Sijie Huang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Problems on matrix completion Present Position: Research Assistant 2018/1 - 2018/4 Bochao Zhang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Functional Gage R&R Present Position: Research Assistant 2018/1 - 2018/4 Jeffrey Tse (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Descriptive statistics for dynamic networks Present Position: Research Assistant 2017/9 - 2017/12 Patrick Li (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Change point detection and dimensionality reduction Present Position: Research Assistant 2015/5 - 2015/8 Meixian Zhu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Statistical process monitoring in additive manufacturing (3D printing Present Position: Analyst at CPP Investment Board

Professor Shojaeddin Chenouri 2013/1 - 2013/4 Seok JeongGyu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: High-dimensional Control Charts Present Position: Undergraduate student at the University of Waterloo 2012/5 - 2012/6 Jinyuan Zhang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: MCMC Convergence Monitoring methods Present Position: Graduate studies at the University of British Columbia 2011/9 - 2012/4 Ai Yan (Shirley) Wu (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Estimating Support of a Distribution Present Position: Consulting Actuary at Milliman 2011/5 - 2011/8 Spencer Wheatley (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Centrality Measures on Networks Present Position: Post-Doc at ETH Zurich Master’s non-Thesis [n=11] 2016/9 - 2017/9 Reza Valiallahimerizi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Modeling and Anomaly Detection of Automatic Identification System Data Present Position: PhD student 2016/2 - 2016/9 Yuyao Di (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Water level forecasting for North American Recreational Fishing Sites Present Position: Data Science 2016/2 - 2017/4 Cheng Qian (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Statistical issues in 3D printing Present Position: Manager, Pricing Analytics - Decision Sciences, Digital Banking at Scotiabank 2016/2 - 2016/9 Dongzhou Yu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Water level forecasting for North American Recreational Fishing Sites Present Position: Data Science 2016/2 - 2016/9 Derek Latremo (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Point processes in dark target detection Present Position: PhD student at the University of Toronto 2014/11 - 2016/9 Shahab Pirnia (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Inference After Model Selection Present Position: PhD Student 2014/9 - 2015/9 Mohammad Nikou Sefat (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Financial Networks Present Position: PhD student 2014/1 - 2014/8 Lukas Josef Hahn (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Statistical Inference on Contact Networks from Observed Epidemics Present Position: PhD student at Ulm University 2014/1 - 2014/9 Shamika Thirimanna (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Nonparametric L1 Regression Based Profile Monitoring Present Position: Data Science 2011/5 - 2011/9 Greg D’Cunha (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Using Kernel Regression and Alignment for Classification in Network Graphs with Covariates Present Position: Statistical data analyst at the Canadian Federal Government

Professor Shojaeddin Chenouri 2011/5 - 2012/1 Meng(Melissa) Lu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Classification Method Using Kernel Regression and Alignment Combined with Nearest-neighbor Graphs Present Position: Senior Software Engineer at TWG

Master’s Thesis [n=3] 2015/9 - 2017/9 Ahmad Mozaffari (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Statistical Learning and Stochastic Process for Robust Predictive Control of Vehicle Suspension Systems Present Position: Research Assistant 2014/5 - 2015/4 Alvin Au (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Nonparametric Function Estimation in Finance Present Position: Data Scientist at Precima 2011/1 - 2011/8 Nikolay Kulmatitskiy (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Modelling Dynamic Networks with Centrality-Based Logistic Regression Present Position: PhD student at the NYU Stern School of Business

Doctorate [n=9] 2017/9 - 2021/8 Banafsheh Lashkari (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2021/8 Thesis/Project Title: Statistical Problems in Additive Manufacturing Present Position: PhD student 2017/9 - 2021/8 Reza Valiallahimerizi (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2021/8 Thesis/Project Title: Change points and anomaly detection in generalized linear models Present Position: PhD student 2017/1 - 2020/8 Shahab Pirnia (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2020/8 Thesis/Project Title: Problems on Regularization and Multivariate Change Points Detection. Present Position: PhD student 2013/10 - 2015/4 Niloofar Shoari (Completed) , Ecole de technologie superieure, Montreal Academic Advisor Thesis/Project Title: Quantitative analysis of left-censored concentration data in environmental site characterization Present Position: Post-Doc 2011/9 - 2017/4 Marjan Rajabi (Completed) , Islamic Azad University, Tehran Academic Advisor Thesis/Project Title: Phase I monitoring with non-parametric mixed effect models Present Position: Assistant Professor, Qazvin Islamic Azad University 2011/9 - 2016/4 Jiaxi (Garcia) Liang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Robustness in Dimensionality Reduction Present Position: Senior Data Scientist at Precima 2010/9 - 2015/9 Behdad Mostafaei (Completed) , Shahid Beheshti University Co-Supervisor Thesis/Project Title: Functional Linear Regression Analysis by Reproducing Kernel Hilbert Space Approach Present Position: Assistant Professor

Professor Shojaeddin Chenouri 2007/1 - 2013/11 Reza Ramezan (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Multivariate Multiscale Analysis of Neural Spike Trains Present Position: Lecturer at the University of Waterloo 2006/5 - 2011/10 Yasaman Hosseinkashi (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Statistical Inference on Stochastic Graphs Present Position: Statistician at Microsoft Corporation, Washington

Event Administration 2013/7 - 2014/6 Organizer of an invited session on New Developments in Statistical Neuroscience, 2014 Statistical Society of Canada Annual Meeting, Conference, 2014/6 - 2014/6 2013/2 - 2013/8 Organized a session on ``Statistical Data Analysis and Geometry", AMMCS-2013, Conference, 2013/8 - 2013/8 2012/7 - 2013/5 Organized a session on ``New Developments in Statistical Neuroscience", 2013 Statistical Society of Canada Annual Meeting, Conference, 2013/5 - 2013/5 2011/7 - 2012/6 Organized a session on ``Statistical Analysis of Network Data", 2012 Statistical Society of Canada Annual Meeting, Conference, 2012/6 - 2012/6 Editorial Activities 2010/1 - 2017/6 Associate Editor, Journal of Statistical Computation and Simulation, Journal 2011/10 - 2014/12 Editor, CHANCE, Journal

Organizational Review Activities 2011/11 - 2012/1 Reveiwer, NSERC Reviewed three NSERC discovery grant applications

Committee Memberships 2017/7 - 2018/6 Chair, ASA DataFest 2018 at University of Waterloo, University of Waterloo Organized the ASA DataFest 2018 at UWaterloo, an undergraduate data analysis competition. 2011/9 - 2017/8 Committee Member, Animal Care Committee, University of Waterloo 2016/9 - 2017/6 Chair, ASA DataFest 2017 at University of Waterloo, University of Waterloo Organized the ASA DataFest 2017, an undergraduate data analysis competition. 2015/7 - 2017/6 Chair, Department Meetings, Department of Statistics and Actuarial Science, University of Waterloo 2013/7 - 2017/6 Chair, Statistics & Actuarial Science Seminar Committee, University of Waterloo 2011/7 - 2017/6 Committee Member, Statistics & Actuarial Science Seminar Committee, University of Waterloo 2012/7 - 2013/6 Committee Member, Recreation Committee, Department of Statistics and Actuarial Science, University of Waterloo 2012/7 - 2013/6 Committee Member, Statistics & Actuarial Science Recreation Committee, University of Waterloo

Professor Shojaeddin Chenouri 2011/7 - 2012/6 Committee Member, Statistics & Actuarial Science Graduate Operation Committee, University of Waterloo 2010/7 - 2012/6 Committee Member, Faculty of Mathematics Administrative Committee, University of Waterloo

Other Memberships 2006/1 - 2040/7 Member, Iranian Statistical Society 2010/1 - 2018/12 Member, The International Environmetrics Society 2007/6 - 2018/12 Member, International Society for Business and Industrial Statistics 2006/7 - 2018/12 Member, Bernoulli Society for Mathematical Statistics & Probability 2006/1 - 2018/12 Member, Institutes for Mathematical Statistics 2006/1 - 2018/12 Member, International Society for Bayesian Analysis 2004/5 - 2018/12 Member, American Statistical Association 2002/5 - 2018/12 Member, Statistical Society of Canada

Presentations 1. (2017). Performance analysis and robustness for dimension reduction. 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2016). Robust Multivariate Change Point Analysis Based on Data Depth. 9th International Conference of the ERCIM WG on Computational and Methodological Statistics, Seville, Spain Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2016). Non-linear Dimension Reduction: Performance Analysis and Robustness. Statistical Society of Canada Annual Meeting, St Catharines, ON, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2015). Parameter estimation based on environmental data with below detection limits. Annual Conference of The International Environmetrics Society, AlAin, United Arab Emirates Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2015). Measures of Robustness in Dimensionality Reduction".Pennsylvania State University, Department of Statistics Seminar, State College, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2015). Local and global measures of robustness in dimensionality reduction. International Conference in Robust Statistics, Kolkata, India Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2015). Performance Analysis and Robustness in Nonlinear Dimensionality Reduction. George Mason University, Department of Statistics Seminar, Fairfax, United States 26

Professor Shojaeddin Chenouri Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2015). Sparse Functional Linear Regression and Singular Function Estimation by Reproducing Kernel Hilbert Space Methods. Annual meeting of the Statistical Society of Canada, Halifax, Canada Main Audience: Researcher Invited?: No, Keynote?: No 9. (2015). Statistical Modeling of Railroad Accidents. Seminar in Road, Housing and Urban Development Research Center of the Ministry of Road and Urban Development, Tehran, Iran, Islamic Republic of Main Audience: Decision Maker Invited?: Yes, Keynote?: No 10. (2014). Spanifold: A New Nonlinear Dimension Reduction Algorithm. Iranian Statistical Conference, Kermanshah, Iran, Islamic Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2014). Robustness in Dimensionality Reduction. International Conference in Robust Statistics, Halle, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 12. This was a 3 person round table discussion session entitled ``Issues and Challenges Faced by New Researchers", the other members were Katherine Davies and Richard Lockhart. (2013). Issues and challenges faced by new researchers. Statistical Society of Canada Annual Meeting, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2013). Comparison of Two Population of Curves with an Application in Neuronal Data Analysis. Statistical Society of Canada Annual Meeting, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2013). Multivariate nonparametric control charts and change point detection. Annual Conference of The International Environmetrics Society, Anchorage, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2012). Tree based local smoothing for dimensionality reduction. International Workshop on the Perspectives on High-dimensional Data Analysis II, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 16. CHRISTOPHER G. SMALL. (2012). SPANIFOLD: Spanning Tree Flattening Onto Lower Dimension. University of Waterloo, Research in Progress Seminars, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 17. (2012). A stochastic graph process for epidemic modelling. Guelph Biomathematics and Biostatistics Symposium on Frontiers in Networks: Models and Applications, Guelph, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

Professor Shojaeddin Chenouri 18. (2012). Multivariate nonparametric control charts and change point detection. Joint Statistical Meeting, San Diego, United States Main Audience: Researcher Invited?: No, Keynote?: No

Publications

Journal Articles

1. Rajabi*, M., Faridrohani, MR. and Chenouri, S.(2017). Phase I monitoring with nonparametric mixed-effect models. Quality and Reliability Engineering International. 33(8): 1929–1941. Published Refereed?: Yes 2. Liang*, J., Chenouri, S. and Small, C.G.(2017). A New Method for Performance Analysis in Nonlinear Dimensionality Reduction. Statistical Analysis and Data Mining: The ASA Data Science Journal. Submitted Refereed?: Yes 3. Mozaffari*, A., Scott, A., Azad, N. L. and Chenouri, S.(2017). A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness. Applied Intelligence. 46(1): 16–33. Published Refereed?: Yes 4. B Mostafaiy*, MR FaridRohani, S Chenouri. (2017). Optimal estimation in functional linear regression for sparse noise-contaminated data. Canadian Journal of Statistics. Submitted Refereed?: Yes 5. Mozaffari*, A., Scott, A., Chenouri, S., Azad, N. L.(2017). A modular ridge extreme learning machine with differential evolutionary distributor applied to the estimation of sea ice thickness. Soft Computing. 21(16): 4635-4659. Published Refereed?: Yes 6. Gohari, M., Ramezani-Tehrani, F., Chenouri, S., Solaymani-Dodaran, M., and Azizi, F.(2016). Individualized predictions of time to menopause using multiple measurements of antimüllerian hormone. Menopause - The Journal of The North American Menopause Society. 23(8): 839-845. Published Refereed?: Yes 7. Ramezan*, R. Marriott, P. and Chenouri, S.(2016). Skellam process with resetting: a neural spike train model. Statistics in Medicine. 35(30): 5717–5729. Published Refereed?: Yes 8. Shoari*, N., Dube, J.S. and Chenouri, S.(2016). On the use of the substitution method in left-censored environmental data. Human and Ecological Risk Assessment: An International Journal. 22(2): 435-446. Published Refereed?: Yes 9. Nassiri, M., Mohamed, O., Berzins, A., Mahmood, T., Chenouri, S., O'Grady P.(2016). Surfing behind a boat: quality and reliability of online resources on scaphoid fractures. The Journal of Hand Surgery. 21(03): 374-381. Published

Professor Shojaeddin Chenouri Refereed?: Yes 10. Chenouri, S., Liang*, J. and Small, C.G.(2015). Robust dimension reduction. Wiley Interdisciplinary Reviews: Computational Statistics. 7: 63-69. Published Refereed?: Yes 11. Chenouri S, Kobelevskiy* P, Small C. (2015). Spanifold: Spanning tree flattening onto lower dimension. Stat. 4(1): 15-31. Published Refereed?: Yes, Open Access?: No 12. Shoari*, N., Dube, J.S. and Chenouri, S.(2015). Estimating the mean and standard deviation of environmental data with below detection limit observations: Considering highly skewed data and model misspecification. Chemosphere. 138: 599-608. Published Refereed?: Yes 13. Nassiri, M., Bruce-Brand, R.A., O'Neill, F., Chenouri, S. and Curtin, P.T.(2015). Perthes disease: the quality and reliability of information on the internet. Journal of Pediatric Orthopaedics. 35(5): 530-535. Published Refereed?: Yes 14. Nassiri, M., Bruce-Brand, R.A., O'Neill, F., Chenouri, S. and Curtin, P.T.(2014). Surfing for Hip Replacements: Has the “Internet Tidal Wave” Led to Better Quality Information. The Journal of arthroplasty. 29(7): 1339–1344. Published Refereed?: Yes 15. Ramezan* R, Marriott P, Chenouri S. (2014). Multiscale analysis of neural spike trains. Statistics in Medicine. 33(2): 238-256. Published Refereed?: Yes, Open Access?: No 16. Chenouri S, Small C. (2012). A Multivariate Nonparametric Multi-Sample Test based on Data Depth. Electronic Journal of Statistics. 6: 760-782. Published Refereed?: Yes, Open Access?: Yes 17. Hosseinkashi* Y, Chenouri S, Small C and Deardon R. (2012). A Stochastic Graph Process for Epidemic Modelling. Canadian Journal of Statistics. 40(1): 55-67. Published Refereed?: Yes, Open Access?: No

Book Chapters

1. S. Chenouri. (2012). Clustering. Abdel H. El-Shaarawi and Walter W. Piegorsch. Encyclopedia of Environmetrics. 2: 429-437. Published, John Wiley & Sons Refereed?: No

Professor Thomas Coleman Professor Thomas F Coleman Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes Degrees - 1979/11 Doctorate, Mathematics, University of Waterloo Supervisors: Conn, Andrew, 1976/9 - 1979/8 - 1976/11 Master's Thesis, Mathematics, University of Waterloo Supervisors: Conn, Andrew, 1975/9 - 1976/8 - 1975/8 Bachelor's Honours, Mathematics, University of Waterloo

Recognitions 2016/7 SIAM Fellow SIAM Honor Awarded in 2016

2010/7 - 2017/6 Ophelia Lazaridis University Research Chair University of Waterloo Prize / Award for studies in applied optimization

User Profile

Research Specialization Keywords: optimization, computational finance, numerical ana

Employment 2007/7 Director, Waterloo Research Institute in Securities, Insurance and Quantitative Finance (WatRISQ) Institute, Mathematics, University of Waterloo Part-time, Professor Tenure Status: Tenure 2005/7 Professor, combinatorics and optimization combinatorics and optimization, mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2005/7 - 2010/6 Dean, Faculty of Mathematics Faulty of mathematics, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure

Professor Thomas Coleman 1992/7 - 2005/6 Professor computer science, Cornell University Full-time, Professor Tenure Status: Tenure 1986/7 - 1992/6 associate professor computer science, Cornell University Full-time, Associate Professor Tenure Status: Tenure 1981/7 - 1986/6 assistant professor computer science, Cornell University Full-time, Assistant Professor Tenure Status: Tenure Track 1979/9 - 1981/6 postdoc applied mathematics, Argonne National Laboratory fundamental research in optimization Research Funding History

Awarded [n=2] 2010/7 - 2017/6 Ophelia Lazaridis University Research Chair, Research Chair Principal Applicant Funding Sources: Mike Lazaridis Total Funding - 80,000 Portion of Funding Received - 80,000 Funding Competitive?: No 2012/4 - 2017/4 New Efficient Methods for Challenging Computational Optimization Problems, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 125,000 Portion of Funding Received - 125,000 Funding Competitive?: Yes Student/Postdoctoral Supervision

Master’s non-Thesis [n=9] 2016/1 - 2017/6 Xixuan Yu (In Progress) , u waterloo Principal Supervisor Student Degree Expected Date: 2017/6 Thesis/Project Title: On the Efficient Determination of Hessian Matrices in a Monte-Carlo setting Present Position: grad student, computational math, u. waterloo 2015/9 - 2015/10 Leo Yuan (In Progress) , u waterloo Principal Supervisor Student Degree Expected Date: 2016/10 Thesis/Project Title: Automatic Differentiation Applied to Monte-Carlo Calculations Present Position: grad student, computational math, u waterloo 2015/9 - 2016/10 Su Yan (In Progress) , u waterloo Principal Supervisor Student Degree Expected Date: 2016/10 Thesis/Project Title: Portfolio selection with Piecewise Constant transaction Costs Present Position: grad student, computational math, u. waterloo

Professor Thomas Coleman 2014/9 - 2015/8 Ehsan Ganjidost (Completed) , u waterloo Principal Supervisor Thesis/Project Title: On preconditioning the linearized conjugate gradient method for sparse nonlinear optimization Present Position: PhD student, computer science, u waterloo 2013/9 - 2014/8 Simon Fong (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Optimization with Function Values Only Present Position: grad student, manchester u, UK 2013/9 - 2014/8 Yichen Zhang (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Transaction Cost Function Minimization Using Simulated Annealing and Smoothing Present Position: employee, hedge fund, ontario 2013/5 - 2014/6 Fiona Fan (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Product Selection Using Optimization Present Position: analyst, scotiabank 2012/9 - 2013/8 Wanqi Li (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Massively Parallel Jacobian Computation Present Position: PhD student, U waterloo 2012/9 - 2013/8 Yu Feng (Completed) , w waterloo Principal Supervisor Thesis/Project Title: CVAR Portfolio Optimization Present Position: analyst Master’s Thesis [n=4] 2015/9 - 2017/6 An Zhou (In Progress) , U waterloo Principal Supervisor Student Degree Expected Date: 2017/6 Thesis/Project Title: Efficient Determination of Sensitivities of Portfolios of Variable Annuities Present Position: grad student, applied mathematics, u waterloo 2012/9 - 2014/8 Sammy Embaye (Completed) , u waterloo Principal Supervisor Thesis/Project Title: The Determination of Structured Hessian Matrices via Automatic Differentiation Present Position: research associate, u waterloo 2012/9 - 2014/6 Xin Xiong (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Efficient Jacobian Determination by Structure-Revealing Automatic Differentiation Present Position: analyst, IBM 2011/9 - 2014/6 Longji Guo (Completed) , u waterloo Principal Supervisor Thesis/Project Title: Optimization problems in Container Ports Doctorate [n=4] 2015/1 - 2018/8 Wanqi Li (In Progress) , university of waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Efficient Automatic Differentiation Present Position: grad student, computer science, university of waterloo 2014/9 - 2018/8 Ke Nian (In Progress) , university of waterloo Co-Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Machine Learning and Optimization Present Position: grad student, computer science, u waterloo

Professor Thomas Coleman 2010/9 - 2014/8 Ad Tayal (Completed) , u waterloo Co-Supervisor Thesis/Project Title: Effective and Efficient Optimization Methods for Kernel Based Classification problems Present Position: analyst, self employed 2007/9 - 2011/8 Somayeh Moazeni (Completed) , u waterloo Co-Supervisor Thesis/Project Title: Optimal Portfolio Execution Strategies: Uncertainty and Robustness. Present Position: assistant professor, Stevens Institute , USA Event Administration 2016/10 - 2016/10 Co-organizer, Systemic Risk in Insurance (with Columbia University), Workshop, 2016/10 - 2016/10 2015/6 - 2016/6 co-organizer, GRI-Fields Conference and Workshop on the Stability of Financial Systems: Modelling, Regulation and Stress Testing, Conference, 2016/6 - 2016/6 2013/10 - 2015/10 co-organizer, Quantum Optimization, Workshop, 2014/10 - 2014/10 2014/10 - 2014/10 Co-organizer, Quantum Optimization, Workshop, 2014/10 - 2014/10 2009/6 - 2011/6 co-organizer, Workshop on Optimization and data Analysis, Fields institute, Workshop, 2010/6 - 2010/6 2010/6 - 2010/6 Co-organizer, Optimization and Data Analysis in Biomedical Informatics, Workshop, 2010/6 - 2010/6 Organizational Review Activities 2015/4 - 2015/5 Chair, advancement committee, CAAM, Rice University Review the department and propose strategy and directions 2011/6 - 2013/5 Chair, GRI Research Structure Committee, Global Risk Institute propose a research structure for this new institute International Collaboration Activities 2013/6 - 2017/5 research advisor, Hong Kong Advise Hong Kong International Port Authority on port optimization 2013/6 - 2015/5 CERT: Scientific Advisory Board member, United Arab Emirates Advise on research activity, broadly, in the UAE 2006/6 - 2010/5 scientifc advisory board member, NII, Japan advise NII on technology research directions Other Memberships 2015/1 Chief Research Officer, Global Risk Institute 2012/1 Senior Research Advisor, Global Risk Institute 2011/1 Chair, GRI Research Structure Committee 2010/1 Member, Oversight Committee for the new national institute: Global Risk Institute in Financial Services

Presentations 1. (2016). Machine Learning for Finance and Insurance: Two Very Different Applications. Special presentation, toronto, Canada Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes

Professor Thomas Coleman 2. (2016). Efficiently Computing a Gradient by Structured Automatic Differentiation Can Save You Millions. Workshop on Nonlinear Optimization Algorithms and Industrial Applications. Fields Institute, toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2016). Analysis of the Stern Systemic Risk Measure and its Application to the Canadian Banking and Insurance Industries. GRI-Columbia Workshop on Systemic Risk in Insurance, United States Invited?: Yes 4. (2015). Container Port Optimization. Special Presentation: Hong Kong International Terminals, kong kong, Hong Kong Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 5. (2014). A Gradual Non-convexation Penalty Method for Minimizing VaR. Canadian Applied and Industrial mathematics Symposium, saskatoon, Canada Invited?: Yes, Keynote?: No 6. (2013). On the use of automatic differentiation to efficiently determine first and second derivatives in finance. INFORMS Annual meeting, minneapolis, United States Invited?: Yes, Keynote?: No 7. (2013). A Gradual Non-convexation Penalty Method for Minimizing VaR. INFORMS Annual meetingh, minneapolis, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2011). Efficient automatic differentiation for nonlinear systems and continuous optimization (bu using graphs),. SIAM Conference on Optimization, berlin, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes Publications

Journal Articles

1. Coleman T, Rubstov A, LaPlante A. (2018). Analysis of the SRISK Measure and Its Applications to the Canadian Banking and Insurance Industries. Annals of Finance. Accepted Refereed?: Yes 2. Coleman T, Xu W, Chen Y, Coleman C. (2018). Moment Matching Machine Learning Methods for Risk Management of Large Variable Annuity Portfolios. Journal of Economic Dynamics and Control. Published Refereed?: Yes 3. Coleman T, Nian K, Li Y. (2018). Learning Minimum Variance Discrete Hedging Directly from Market. Journal of Quantitative Finance. Accepted Refereed?: Yes 4. Wei Xu, Xi Chen*, Thomas F. Coleman *: grad students. (2016). The Efficient Application of Automatic Differentiation for Computing Gradients in Financial Applications.. Journal of Computational Finance. 19(3): 71-96. Published Refereed?: Yes, Open Access?: Yes

Professor Thomas Coleman 5. Wei Xu , Yuehuan Chen* , Conrad Coleman and Thomas F. Coleman *: grad students. (2016). Efficient Machine Learning Methods for Risk Management of Large Variable Annuity Portfolios ,. Insurance Mathematics and Economics. Submitted Refereed?: Yes, Open Access?: Yes 6. Coleman T, Nian K, Li Y. (2016). Auto Insurance Fraud Detection Using Unsupervised Spectral Ranking for Anomaly. Journal of Finance and Data Science. Published Refereed?: Yes 7. A. Tayal. Y. Li, Thomas F. Coleman. (2015). Bounding the Difference Between RankRC and RankSVM and Application to Multi-level Rare Class Learning. Data mining and Knowledge Discovery,. Submitted Refereed?: Yes, Open Access?: Yes 8. J. Xi, Y. Li, A. Tayal, Thomas F. Coleman. (2014). A Gradual Non-convexation Method for Minimizing VaR. Journal of Risk. 26(3): 1-14. Published Refereed?: Yes, Open Access?: Yes 9. A Tayal*, Y.Li, Thomas F. Coleman *: grad students. (2014). Primal Explicit Max Margin Feature Selection for Nonlinear Support Vector Machines. J. Pattern Recognition. 47: 2153-2164. Published Refereed?: Yes, Open Access?: Yes 10. W. Xu, Thomas F. Coleman. (2014). Solving nonlinear equations with the Newton-Krylov method based on automatic differentiation. Journal of Optimization methods and software. 29(1): 88-101. Published Refereed?: Yes, Open Access?: Yes 11. W. Xu, Thomas F. Coleman. (2013). Efficient (Partial) Determination of Derivative Matrices via Automatic Differentiation. SIAM Journal on Scie ntific Computing. 35(3): A1398-A214216. Published Refereed?: Yes, Open Access?: Yes 12. A. Moazeni,* Y.Li, Thomas F. Coleman *: grad students. (2013). Regularized Robust Optimization: The Optimal Portfolio Execution Case. Journal of Computational Optimization and Applications.55(2): 341-377. Published Refereed?: Yes, Open Access?: Yes 13. Y. Li, C. Wang*, Thomas F. Coleman. (2013). Stable Local Volatility Function Calibration using Spline Kernel. Computational Optimization and Applications. 55(3): 675-702. Published Refereed?: Yes, Open Access?: Yes 14. S. Moazeni*, Y. Li, Thomas F. Coleman *: grad students. (2013). Optimal Execution under Jump Models for Uncertain Price Impact.Journal of Computational Finance. 16(4): 1-44. Published Refereed?: Yes, Open Access?: Yes 15. S. Moazeni*, Y.Li, Thomas F. Coleman *: grad students. (2013). . Smoothing and Parametric Rules for Stochastic Mean-CVaR Optimal Execution Strategy. Annals of Operations research. (May): 1-22. Published Refereed?: Yes, Open Access?: Yes 35

Professor Thomas Coleman 16. T Davrian*, Y. Li, Thomas F. Coleman *: grad students. (2011). Dynamic liquidation under market impact. Journal of Quantitative Finance. 11: 69-80. Published Refereed?: Yes, Open Access?: Yes 17. D. Levchemnko*, Y. Li, Thomas f. Coleman *: grad students. (2011). Risk minimization hedging under nonoptimal exercising. Journal of Risk. 13(4): 63-93. Published Refereed?: Yes, Open Access?: Yes Books

1. Wei Xu, Thomas F. Coleman. (2016). Automatic Differentiation in MATLAB Using ADMAT with Applications. : 105. Published, SIAM Refereed?: Yes 2. P. Pardalos, P Xanthopoulos, Thomas F. Coleman. (2012). Optimization and Data Analysis in Biomedical Informatics. Published, Springer Refereed?: Yes

Book Chapters

1. W. Xu, X. Xiong*, Thomas F. Coleman *: grad students. (2012). Using directed edge separators to increase efficiency in the determination of Jacobian matrices via automatic differentiation. Forth, Hovland, Phipps, Utke, Wather. Recent Advances in Algorithmic Differentiation. : 209-220. Published, Springer Refereed?: Yes 2. Y. Li, Thomas F. Coleman. (2010). Optimization and finance. P Forsyth, D. Lamberton, Rama Cont. Encylopedia of Quantitative Finance. : 1322-1327. Published, Wiley Refereed?: Yes

Conference Publications

1. Coleman T, Xu W, Xin X. (2012). Using directed edge separators to increase efficiency in the determination of Jacobian matrices via automatic differentiation. Recent Advances in Algorithmic Differentiation, Paper Published

Dr. Gordon Villy Cormack Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes Degrees - 1981/10 Doctorate, Computer Science, The University of Manitoba - 1978/6 Master's non-Thesis, Computer Science, The University of Manitoba - 1977/6 Bachelor's, Computer Science, The University of Manitoba

User Profile

Employment Electronic Discovery Consultant Chief Architect,Technology 1983/8 Professor School of Computer Science, University of Waterloo Full- time 1981/7 - 1983/7 Assistant Professor School of Computer Science, McGill University Full- time

Research Funding History

Awarded [n=1] NSERC Collaborative Research & Development, Grant : Mark Smucker

Completed [n=2] Principal Investigator NSERC Discovery Grant, Grant Principal Applicant Google Inc. Focus Award, Grant

Publications

Journal Articles

1. Grossman MR, Cormack GV. (2012). Inconsistent Responsiveness Determination in Document Review:Difference of Opinion or Human Error?. Pace Law Review. 32(2) Refereed?: Yes 37

Dr. Gordon Cormack 2. Grossman MR, Cormack GV. (2011). Technology-Assisted Review in E-Discovery Can Be More Effective andMore Efficient Than Exhaustive Manual Review. Richmond Journal of Law and Technology. XV11(3) Published

Conference Publications

1. Cormack GV, Grossman MR. (2017). Navigating Imprecision in Relevance Assessments on the Road to TotalRecall: Roger and Me. Special Interest Group on Information Retrieval., Paper Published Refereed?: Yes 2. Cormack GV, Grossman MR. (2017). Multi-Faceted Recall of Continuous Active Learning for TechnologyAssisted Review. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 3. Cormack GV, Grossman MR. (2017). Technology-assisted review in empirical medicine: Waterloo participation in CLEF eHealth 2017. Conference and Labs of the Evaluation Forum, Paper Published Refereed?: No 4. Clarke CLA, Cormack GV, Lin J, Roegiest A. (2017). Ten Blue Links on Mars. World Wide Web, Paper Published Refereed?: Yes 5. Grossman MR, Cormack GV et al.(2017). Automatic and Semi-Automatic Document Selection forTechnology-Assisted Review. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 6. Clarke CLA, et al.(2016). Total Recall: Blue Sky on Mars. International Conference on the Theory of Information Retrieval, Paper Published Refereed?: Yes 7. Zhang H, et al.(2016). Sampling Strategies and Active Learning for Volume Estimation. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 8. Cormack GC, Grossman MR. (2016). Scalability of Continuous Active Learning for Reliable High-Recall Text Classification. Conference on Information and Knowledge Management, Paper Published Refereed?: Yes 9. Cormack GV, Grossman MR. (2016). Engineering Quality and Reliability in Technology-Assisted Review. Special Interest Group on Information Retrieval, Paper

Dr. Gordon Cormack Published Refereed?: Yes 10. Roegiest A, Cormack GV. (2016). Impact of Review-Set Selection on Human Assessment for Text Classification. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 11. Roegeist A, Cormack GV. (2016). An Architecture for Privacy-Preserving and Replicable High-Recall Retrieval Experiments. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 12. Grossman MR, Cormack GV. (2016). A Tour of Technology-Assisted Review, in Perspectives on Predictive Coding and Other Advanced Search Methods for the Legal Practitioner. American Bar Association, Paper Published Refereed?: Yes 13. Roegiest A, Cormack GV, Grossman MR, Clarke CLA. (2015). TREC 2015 Total Recall Overview. National Institute of Standards and Technology, Paper Published Refereed?: No 14. Roegiest A, Cormack GV, Grossman. (2015). Impact of Surrogate Assessments on High-Recall Retrieval. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 15. Cormack GV, Grossman MR. (2014). Evaluation of Machine-Learning Protocols for Technology-Assisted Review in Electronic Discovery. Special Interest Group on Information Retrieval, Paper Published Refereed?: Yes 16. Grossman MR, et al.(2011). Overview of the TREC 2011 Legal Track. National Institute of Standards and Technology, Paper Published Refereed?: No

Intellectual Property

Patents

1. Systems and Methods for Conducting and Terminating Technology Assisted Review. United States. 15/186377. Patent Status: Pending

Dr. Gordon Cormack 2. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 713023. Patent Status: Granted/Issued 3. Systems and Methods for Conducting a Highly Autonomous Technology Assisted Review Classification. United States. 15/186382. Patent Status: Pending 4. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 8838606. Patent Status: Granted/Issued 5. Systems and Methods for a Scalable Continuous Active Learning Approach to Information Classification. United States. 15/186387. Patent Status: Pending 6. Systems and Methods for Conducting and Terminating Technology Assisted Review. United States. 15/186366. Patent Status: Pending 7. Systems and Methods for Conducting and Terminating Technology Assisted Review. United States. 15/186360. Patent Status: Pending 8. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 9122681. Patent Status: Granted/Issued 9. Systems and Methods for Classifying Electronic Information UsingAdvanced Active Learning Techniques. United States. 0324451. Patent Status: Granted/Issued 10. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 9678957. Patent Status: Granted/Issued 11. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 8713023. Patent Status: Granted/Issued Year Issued: 2013

Dr. Ricardo Fukasawa Department of Combinatorics and Optimization

Language Skills Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes Portuguese Yes Yes Yes Yes Yes Spanish; Castilian Yes Yes Yes Yes No

Degrees - 2008/8 Doctorate, Algorithms, Combinatorics and Optimization, Georgia Institute of Technology Supervisors: William J. Cook, 2003/8 - 2008/8 - 2002/7 Master's Thesis, Electrical Engineering, Pontificia Universidade Catolica do Rio de Janeiro Supervisors: Oscar Porto, 2000/7 - 2002/7 - 2000/7 Bachelor's, Electrical Engineering, Pontificia Universidade Catolica do Rio de Janeiro

Recognitions 2012/3 - 2017/3 Early Researcher Award - 150,000 Ministry of Research and Innovation Prize / Award Competitive Award given to Ontario researchers in the early stages of their academic careers. This award is competitive among all possible disciplines of research. 2008/8 - 2009/7 IBM Herman Holdstine Postdoctoral Fellowship - 115,000 IBM Watson Research Center,Yorktown Prize / Award Competitive postdoctoral fellowship awarded at IBM research to 1-2 candidates per year. 2007/12 INFORMS 2007 Doctoral Colloquium The Institute for Operations Research and the Management Sciences (INFORMS) Prize / Award Selected as PhD student indicated by home department to participate in INFORMS Doctoral Colloquium 2006/12 MIP Student Travel Award Workshop on Mixed Integer Programming committee Prize / Award Travel Award given by the MIP workshop committee to selected attending PhD students. 2003/8 - 2007/8 John Morris PhD Fellowship - 25,000 Georgia Institute of Technology Prize / Award Doctoral fellowship given to select PhD students at the School of Industrial and Systems Engineering

Dr. Ricardo Fukasawa 2000/7 CNPq Scholarship at M.Sc. Program Pontificia Universidade Catolica do Rio de Janeiro Prize / Award Scholarship paying for M.Sc. User Profile

Research Specialization Keywords: Discrete Optimization, Integer Programming, Operations Research

Employment 2013/7 Associate Professor Combinatorics and Optimization, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2008/8 - 2013/6 Assistant Professor Combinatorics and Optimization, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2008/8 - 2009/7 Herman Goldstine Postdoctoral Fellow IBM Watson Research Center,Yorktown 2003/8 - 2008/7 Graduate Research Assistant for Prof. William Cook Industrial and Systems Engineering, Georgia Institute of Technology Full-time Tenure Status: Non Tenure Track 2007/9 - 2007/12 Instructor of Undergraduate Engineering Optimization Course Industrial and Systems Engineering, Georgia Institute of Technology Full-time Tenure Status: Non Tenure Track 2006/5 - 2006/7 Summer Intern IBM Watson Research Center,Yorktown 2004/5 - 2004/8 Summer Manager AT & T Bell Laboratories 2000/7 - 2003/6 Optimization Manger GAPSO Inc Leaves of Absence and Impact on Research 2012/8 - 2013/2 Sabbatical, University of Waterloo Early sabbatical awarded after 3 years at the University of Waterloo. Stayed in the University doing research. 2008/8 - 2009/7 Unpaid, University of Waterloo Was hired to start August 1st 2008 at the University of Waterloo, but was granted an unpaid leave of absence to do a 1 year postdoc at IBM research. Did research at IBM research.

Research Funding History

Awarded [n=6] NSERC CRD, Grant 42

Dr. Ricardo Fukasawa 2012/3 - 2017/3 Early Researcher Award Increasing the applicability of mixed-integer programming, Grant Principal Investigator Funding Sources: Ministry of Research and Innovation (MRI) (Ontario) Total Funding - 150,000 Portion of Funding Received - 150,000 Funding Competitive?: Yes 2013/6 - 2015/6 Mathematical Optimization of Pediatric Cranial Vault Remodeling and Robotic CO2 Co-investigator etching of skull contours, Grant Funding Sources: Physicians Services Incorporated Foundation (The) (PSI) Health Research Grant Total Funding - 170,000 Portion of Funding Received - 40,000 Funding Competitive?: Yes 2009/4 - 2014/3 NSERC Discovery Grant, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes 2013/10 - 2014/2 OCE-TPS Project Development of an Advanced Algorithm for Process Management Co-investigator System for ActLabs, Grant Funding Sources: Ontario Center of Excellence (OCE) Technical Problem Solving (TPS) Total Funding - 64,191 Portion of Funding Received - 0 Funding Competitive?: Yes 2009/4 - 2012/3 Startup Grant, Grant Principal Investigator Funding Sources: University of Waterloo Total Funding - 40,000 Portion of Funding Received - 40,000 Funding Competitive?: No

Completed [n=5] Development of an Advanced Algorithm for Process Management System, Grant NSERC Discovery Grant, Grant Mathematical Optimization of Pediatric Cranial Vault Remodeling and Robotic CO2 etching of skull contours, Grant Early Researcher Award NSERC Engage, Grant

Dr. Ricardo Fukasawa Student/Postdoctoral Supervision

Bachelor’s [n=3] 2012/5 - 2012/8 Patricia Hongo, University of Waterloo Principal Supervisor Thesis/Project Title: Undergraduate Research Assistant project: A study of cuts based on Automatic Decomposition Present Position: Student at UNICAMP 2012/5 - 2012/8 Ruan Silva, University of Waterloo Principal Supervisor Thesis/Project Title: Undergraduate Research Assistant project: A study of cuts based on Automatic Decomposition Present Position: Student at UNICAMP 2011/9 - 2013/5 Ahmad Abdi (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Undergraduate Research Assistant project: On the mixing set with a knapsack constraint Present Position: Graduate Student at University of Waterloo Master’s Thesis [n=8] 2015/9 Do Yeon Lee (In Progress) , University of Waterloo Co-Supervisor Present Position: Graduate Student at University of Waterloo 2014/9 - 2016/8 Saman Lagzi (Completed) , University of Waterloo Co-Supervisor Present Position: PhD Student, University of Toronto 2013/8 - 2015/5 Xiaojing Wang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: A study of stochastic vehicle routing problems Present Position: PhD Student, University of Waterloo 2013/2 - 2015/2 Bhushan Patil (Completed) , University of Waterloo Co-Supervisor 2011/9 - 2013/5 David Qian (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Dynamic Programming: Salesman to Surgeon Present Position: Amazon 2010/9 - 2012/5 Marco Blanco Sandoval (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: LP-based approximation algorithms for the Capacitated Facility Location Problem Present Position: PhD student at Zuze Institute Berlin 2009/9 - 2010/1 Abbas Mehrabian (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Switched supervisors after Jan-2010 Present Position: Graduate Student at University of Waterloo 2009/9 - 2010/8 John Lincoln White (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A new class of cycle inequality for the Time-dependent Traveling Salesman Problem Present Position: Application Developer at Global Information Systems, LLC.

Doctorate [n=4] 2013/8 - 2018/8 Andre Linhares Rodrigues (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Optimization of Cranium Vault remodeling surgery Present Position: Graduate Student at University of Waterloo

Dr. Ricardo Fukasawa 2012/9 - 2017/7 Cynthia Villalobos (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/7 Thesis/Project Title: Extended formulations for routing type problems Present Position: Graduate Student at University of Waterloo 2012/9 - 2017/7 Alinson Xavier (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/7 Thesis/Project Title: Cutting planes for general mixed-integer programs based on group relaxations and extensions Present Position: Post Doctoral Researcher, Argonne National Labs, USA

Post-doctorate [n=2] 2015/1 - 2015/12 Fernando Afonso Santos, University of Waterloo Principal Supervisor Present Position: Post Doctoral Researcher 2013/11 - 2015/11 Laurent Poirrier, University of Waterloo Principal Supervisor Thesis/Project Title: Cutting planes and extended formulations for the TSP and its variants. Present Position: Research Assistant Professor, University of Waterloo

Research Associate [n=1] 2013/5 - 2014/2 Devanshu Pandey, University of Waterloo Co-Supervisor Thesis/Project Title: Development of an advanced algorithm for process management system for ActLabs Present Position: Big Data Developer, Bell Canada

Event Administration Committee member, ISCO 2016 Member or Organizing Committee, Matchings, Matroids and Extensions, Conference Cluster Organizer, CORS 2012 Organizer, Combinatorial, Geometric, and Computational Aspects of Optimization Organizer, IPCO 2017 Organizer, Provably strong formulations Committee member, ISCO 2018 Organizer, INFORMS Nicholson Prize award Organizer, Computational Integer Programming 2011/10 - 2012/6 Co-Organizer, Matching, Matroids, and Extensions: A Conference in Honour of Bill Cunningham's 65th Birthday, Conference, 2012/6 - 2012/6 2011/8 - 2012/6 Cluster Chair, Optimization cluster at CORS 2012, Conference, 2012/6 - 2012/6 2011/1 - 2011/11 Session Organizer, Integer Programming session at INFORMS 2011, Conference, 2011/11 - 2011/11

Dr. Ricardo Fukasawa 2010/7 - 2011/6 Organizing Committee, MIP 2011, Workshop, 2011/6 - 2011/6 2010/1 - 2010/11 Session Organizer, Integer Programming session at INFORMS 2010, Conference, 2010/11 - 2010/11 2009/8 - 2010/7 Organizing Committee, MIP 2010, Workshop, 2010/7 - 2010/7 2009/1 - 2009/10 Session Organizer, Advances in Integer Programming session at INFORMS 2009, Conference, 2009/10 - 2009/10 2009/1 - 2009/10 Session Organizer, Computational Integer Programming session at INFORMS 2009, Conference, 2009/10 - 2009/10 2008/1 - 2008/10 Session Organizer, Computational Integer Programming session at INFORMS 2008, Conference, 2008/10 - 2008/10

Editorial Activities Associate Editor, Operations Research, Journal 2012/1 Referee, Full paper submitted to International Conference on Pattern Recognition (ICPR), Conference Abstract 2011/7 Associate Editor, RAIRO-Operations Research, Journal 2011/1 Referee, Operations Research Letters, Journal 2011/1 Technical Editor, Mathematical Programming Computation, Journal 2011/1 Referee, Full paper submitted to European Symposium on Algorithms (ESA) 2011, Conference Abstract 2011/1 Referee, Mathematical Programming Series A, Journal 2011/1 Referee, Discrete Optimization, Journal 2009/1 Referee, Full paper submitted to Symposium on Experimental Algorithms, Conference Abstract 2009/1 Referee, INFORMS Journal of Computing, Journal 2009/1 Referee, Full paper submitted to Latin-American Algorithms, Graphs and Optimization Symposium - LAGOS, Conference Abstract 2009/1 Referee, Operations Research Journal, Journal 2008/1 Referee, Extended abstract submitted to Integer Programming and Combinatorial Optimization conference - IPCO, Conference Abstract 2008/1 Referee, 4OR: A Quarterly Journal of Operations Research, Journal

Organizational Review Activities 2012/1 - 2013/1 Referee, Natural Sciences and Engineering Research Council of Canada (NSERC) Grant review and refereeing 2010/1 - 2010/6 Referee, Fondecyt (Granting agency - Chile) Grant review and refereeing

Dr. Ricardo Fukasawa Presentations 1. A two-slope theorem for the Master Equality Polyhedron. MIP 2015, 2. (2017). Implementing the (not so) Trivial Lifting in Two Dimensions. 8th Cargese-Porqueroles workshop in combinatorial optimization, Invited?: Yes 3. (2017). A joint routing and speed optimization problem. SIAM Conference on Optimization, Invited?: Yes 4. (2017). A tour of Combinatorics and Optimization. Auckland Workshop, Canada Invited?: Yes 5. (2016). Optimization. Math Circles Workshop,, Canada Invited?: Yes 6. (2016). Implementing the (not so) Trivial Lifting in Two Dimensions. CMS winter meeting, Invited?: Yes 7. (2016). The chance-constrained vehicle routing problem. Seminar at Duke University, Invited?: Yes 8. (2016). The chance-constrained vehicle routing problem. , Canada Invited?: Yes 9. (2016). Branch-and-cut (-and-price) for the chance-constrained vehicle routing problem. Column Generation Workshop, Invited?: Yes 10. (2016). Branch-and-cut (-and-price) for the chance-constrained vehicle routing problem. ICSP 2016, Invited?: Yes 11. (2016). Exact Algorithms for the Chance-Constrained Vehicle Routing Problem. Aussois Combinatorial Optimization workshop, 12. (2015). A two-slope theorem for the Master Equality Polyhedron. CMS winter meeting, Invited?: Yes 13. (2015). Recent challenges in Integer Programming. Graduate student seminar,, Canada Invited?: Yes 14. (2015). On splitting clutters. ISMP 2015, Invited?: Yes 15. (2014). Optimization and Operations Research. Auckland Workshop, Invited?: Yes 16. (2014). Optimization and Operations Research. Math Circles, Canada Invited?: Yes 17. (2013). An Optimization Algorithm for Cranial Vault Remodeling Surgery. INFORMS, Canada Invited?: Yes 18. (2013). A Comparison Between DP-based Bounds for the TSP. INFORMS 2013, Invited?: Yes 19. (2013). On the mixing set with a knapsack constraint. INFORMS, Invited?: Yes 20. (2013). Improved MIP models for chance-constrained problems with probabilistic right-hand sides. ICSP, 21. (2013). Cutting planes for integer programming based on lattice-free sets. Retrospective Workshop on Discrete Geometry, Optimization, and Symmetry, Canada Invited?: Yes 22. (2013). Branch-price-and-cut approaches to some Combinatorial Optimization problems. , United States Invited?: Yes 23. (2012). Recent progress in two-row cuts. Invited presentation, Rice University, United States Invited?: Yes, Keynote?: No 24. (2012). On the mixing set with a knapsack constraint. ISMP, Invited?: Yes

Dr. Ricardo Fukasawa 25. (2012). Recent Progress in two-row cuts. Invited presentation, McMaster University, Canada Invited?: Yes, Keynote?: No 26. (2012). On the mixing set with a knapsack constraint. MIP, Invited?: Yes 27. (2012). MIP reformulations of some chance-constrained mathematical programs. FIELDS industrial optimization seminar, Invited?: Yes 28. (2012). Cutting planes based on multiple rows of a simplex tableau. Tutte seminar, Canada Invited?: Yes 29. (2011). Generating two-row cuts from lattice-free bodies. SIAM Conference on Optimization 2011, Darnstadt, Germany Invited?: Yes, Keynote?: No 30. (2011). Experiments with two-row cuts. INFORMS 2011, Charlotte, United States Invited?: Yes, Keynote?: No 31. (2011). Integer programming models for factoring. IBM IP/AP, Yorktown Heights, United States Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Lagzi S, Lee D, Fukasawa R, Ricardez-Sandoval L. (2017). A computational study of continuous and discrete time formulations for a class of short-term scheduling problems for multipurpose plants. Industrial & Engineering Chemistry Research. Published Refereed?: Yes 2. Dinh T, Fukasawa R, Luedtke J. (2017). Exact algorithms for the chance-constrained vehicle routing problem. Mathematical Programming Series B. Accepted Refereed?: Yes 3. Abdi A, Fukasawa R, Sanita L. (2017). Opposite elements in clutters. Mathematics of Operations Research,. Accepted Refereed?: Yes 4. Lagzi S, Fukasawa R, Ricardez-Sandoval L. (2017). A multitasking continuous time formulation for shortterm scheduling of operations in multipurpose plants. Computers and Chemical Engineering. Published Refereed?: Yes 5. Fukasawa R, He Q, Song Y. (2016). A disjunctive convex programming approach to the pollution-routing problem. Transportation Research Part B: Methodological. Published Refereed?: Yes 6. Fukasawa R, Abdi A. (2016). On the mixing set with a knapsack constraint. Mathematical Programming Series A. Published Refereed?: Yes

Dr. Ricardo Fukasawa 7. Fukasawa R, He Q, Song Y. (2015). A branch-cut-and-price algorithm for the energy minimization vehicle routing problem. Transportation Science. Published Refereed?: Yes 8. Isaac K, Konemann J, Fukasawa R, Qian D, Linhares A, Saber N, Nguyen P, Drake J, Phillips J. (2015). Optimization of cranio-orbital remodeling: Application of a mathematical model.Journal of Craniofacial Surgery. Published Refereed?: Yes 9. Patil B, Fukasawa R, Ricardez-Sandoval L. (2015). Scheduling of operations in a large-scale scientific services facility via multi-commodity flow and optimization-based algorithm. Industrial & Engineering Chemistry Research. Published Refereed?: Yes 10. H. Abeledo, R. Fukasawa, A. Pessoa, E. Uchoa. (2013). The time dependent travelling salesman problem: polyhedra and branch-cut-and-price algorithm. Mathematical Programming Computation. 5(1): 27-55. Published Refereed?: Yes 11. S. Dash, R. Fukasawa, O. Gunluk. (2012). The master equality polyhedron with multiple rows. Mathematical Programming Series A. 132(1-2): 125-151. Published Refereed?: Yes 12. E. Uchoa, T.A.M. Toffolo, M. Souza, A. Martins, R. Fukasawa. (2012). Branch-and-cut and hybrid local search for the multi-level capacitated minimum spanning tree problem. Networks. 59(1): 148-160. Published Refereed?: Yes 13. R. Fukasawa, M. Goycoolea. (2011). On the exact separation of mixed integer knapsack cuts. Mathematical Programming Series A. 128(1-2): 19-41. Published Refereed?: Yes 14. R. Fukasawa, O. Gunluk. (2011). Strengthening lattice-free cuts using non-negativity. Discrete Optimization. 8(2): 229-245. Published Refereed?: Yes 15. H. Abeledo, R. Fukasawa, A. Pessoa, E. Uchoa. (2011). The time dependent travelling salesman problem: Polyhedra and branch-cut-and-price algorithm. Mathematical Programming Computation. Accepted Refereed?: Yes Book Chapters

1. R. Fukasawa. (2013). Gomory Cuts. Wiley Encyclopedia of Operations Research and Management Sciences. : 0-0. Published, Emerald Group Refereed?: Yes

Dr. Ricardo Fukasawa Conference Publications

1. Dinh T, Fulasawa R, Luedtke J. (2016). Exact algorithms for the chance-constrained vehicle routing problem. Proceedings of the 18th Integer Programming and Combina- torial Optimization conference, Paper Published Refereed?: Yes 2. Saber N, Linhares A, Qian D, Fukasawa R, Konemann J, Drake J, Phillips J. (2014). Towards mathematical optimization of pediatric cranial vault remodeling. International Journal of Computer Assisted Radiology and Surgery, Published Refereed?: Yes

Professor Ali Ghodsi Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 2005/11 Doctorate, Computer Science, University of Waterloo - 2000/10 Master's Thesis, Computer Science, Concordia University - 1991/7 Bachelor's, Computer Engineering, Shiraz University

User Profile

Research Specialization Keywords: Machine Learning, Dimensionality Reduction, Bioinformatics, Medical Imaging, Cancer, Graphical Models, Probabilistic Inference, Supervised and Unsupervised Learning

Employment 2010/7 Associate Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2005/6 - 2010/6 Assistant Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2001/7 - 2005/6 Research and Teaching Assistant Computer Science, Mathematics, University of Waterloo Full-time Tenure Status: Non Tenure Track 1998/7 - 2001/6 Research and Teaching Assistant Computer Science, Mathematics, Concordia University Full-time Tenure Status: Non Tenure Track 1992/7 - 1997/6 Supervisor/Analyst Mapna Engineering Consultants

Research Funding History Awarded [n=4] 2016/1 - 2020/12 Intelligent Metal Additive Manufacturing, Grant Co-applicant Funding Sources: ORF/Federal Development ORF Total Funding - 4,000,000 Portion of Funding Received - 160,000 Funding Competitive?: Yes Principal Applicant : E. Toyserkani 2014/4 - 2019/3 Large-Scale Data Analytics: Methodologies and Applications, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants Program Total Funding - 100,000 Portion of Funding Received - 100,000 Funding Competitive?: Yes 2013/5 - 2018/12 Data Analytics and Computational Biostatistics Canada Foundation for Innovation (CFI), Principal Investigator Grant Funding Sources: Canadian Foundation for Innovation Leaders Opportunity Fund Total Funding - 500,000 Portion of Funding Received - 500,000 Funding Competitive?: Yes Co-applicant : Richard Cook; Shoja Chenouri 2010/4 - 2015/3 Dimensionality reduction: methodology and applications, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 95,000 Portion of Funding Received - 95,000 Funding Competitive?: Yes

Completed [n=3] 2010/5 - 2012/4 Analysis of Structure and Activity of Bioactive Small Molecules, Grant Principal Investigator Funding Sources: McMaster-Waterloo Bioinformatics Initiative Bioinformatics Initiative Total Funding - 30,000 Portion of Funding Received - 30,000 Funding Competitive?: Yes Co-investigator : Eric Brown 2010/5 - 2011/4 Feature Selection for Population-based Genetic Association Using Hilbert Schmidt Principal Investigator Independence Criterion, Grant

Funding Sources: McMaster-Waterloo Bioinformatics Initiative-Waterloo Bioinformatics Initiativeterr Bioinformatics Initiative Total Funding - 45,000 Portion of Funding Received - 22,500 Funding Competitive?: Yes Co-investigator : Anand, Sonia; Xie, Changchun 2010/5 - 2011/4 DNA-Microarray Analysis of Cancer Stem Cells, Grant Principal Investigator Funding Sources: McMaster-Waterloo Bioinformatics Initiative Bioinformatics Initiative Total Funding - 22,500 Portion of Funding Received - 11,250 Funding Competitive?: Yes Co-investigator : Kohandel, Mohammad; Singh, Shila

Under Review [n=1] 2019/4 - 2024/3 Captioning of Gigapixel Digital Pathology, Grant Co-applicant Funding Sources: ORF-RE ORF Total Funding - 3,142,881 Portion of Funding Received - 0 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s [n=1] 2013/5 - 2013/8 Kevin Poulard (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Implementation of Isometric patch alignment using Mapreduce Present Position: Student, ISFA (Lyon - France)

Bachelor’s Honours [n=1] 2013/5 - 2013/8 Grace Yang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Risk estimation for second cancer Present Position: Software Engineer at Microsoft

Master’s non-Thesis [n=3] 2014/9 - 2015/10 Zhaochen Dong (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Word Representation Model by Normalized Window-based Cooccurrence Distance Present Position: Engineer/Data Scientist, Cheetah Mobile 53

2013/9 - 2015/12 Jinchao Lin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Kaggle Right Whale Recognition Competition Present Position: Machine Learning, Capital One 2012/9 - 2013/5 Severn, Daniel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Severn statistic: The Severn statistic is a function of a one dimension continuous random sample and some pre-specified cumulative distribution function (CDF). Present Position: PhD Student

Master’s Thesis [n=10] Principal Supervisor Sadeghianpour, Nasrin, Ghent University - iMinds Thesis/Project Title: Smart energy grid Present Position: PhD Candidate, University of Waterloo 2017/9 - 2019/8 Khan, Sakif (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Aspects of Information Theory in Deep Learning Present Position: Student 2016/9 - 2017/8 Bidart, Rene (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Nuclei Localization and Classification in Post-treated BreastSurgical Specimens Present Position: PhD Student 2016/9 - 2018/8 Karimi, Amir-Hossein (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Exploring New Forms of RandomProjections for Classification and Dimensionality Reduction in Big-Data Regimes Present Position: Student 2016/9 - 2020/8 Yan, Jingwei (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Blockchain Technology Present Position: Student 2015/9 - 2017/8 Lashkari Amirreza (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Improving Sequence-To-Sequence Models with Addition of ReTranslate Layer for Translation Task Present Position: Data Scientist, Scotia Bank 2013/9 - 2014/8 Maysum Panju (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Dirichlet process models for Arabic and Persian text mining. Present Position: Machine Learning Researcher at Slyce 2013/9 - 2014/8 Grace Yang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Risk estimation for second cancer Present Position: Software Engineer at Microsoft 2010/9 - 2011/6 Sabourin, Trevor (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Analysis of Structure and Activity of Bioactive Small Molecules Present Position: Medical Student at McGill 2010/5 - 2012/6 Doori, Fatemeh (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Adapting Component Analysis Present Position: Research Associate, PhD Student

Doctorate [n=9]

2018/5 - 2024/5 Ma, Zheng (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: To be determined Present Position: Student 2016/9 - 2021/8 Qiao, Rui (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: De novo peptide sequencing by deep learning Present Position: Student 2015/9 - 2021/8 Pang, Maysum (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Natural language processing Present Position: Student 2015/9 - 2021/5 Ershad Banijamali (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Deep Generative Models Present Position: PhD candidate 2010/9 - 2014/6 Tameem Hesham (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Machine Learning Methods for Electrophysiological Characterization of Neuromuscular Disorders: Present Position: Postdoc

2010/5 - 2013/4 Gangeh, Mehrdad (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Texture Classification Using Multiple Classifier Systems in Multiscale Space Present Position: postdoctoral fellow 2007/9 - 2013/1 Farahat, Ahmed (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Greedy Representative Selection for Unsupervised Data Analysis Present Position: Postdoctoral Fellow 2007/9 - 2013/9 Tadavoni, Pooyan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: TesseraMap: Unfolding Manifolds by Tessellation of Linear Subspaces Present Position: PhD Student 2006/9 - 2011/11 Alipanahi, Babak (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Protein Nuclear Magnetic Resonance Structure Determination Present Position: Postdoctoral Fellow, University of Toronto Research Associate [n=1] 2013/3 - 2015/12 Sara Sharifzadeh (Completed) , Technical University of Denmark Principal Supervisor Thesis/Project Title: statistical tools for food quality predictions Present Position: PhD Candidate

Committee Memberships Committee Member, PhD Chairs Pool Committee, University of Waterloo Committee Member, Department of Statistics Tenure and Promotion Committee, University of Waterloo Committee Member, Computational Mathematics Graduate Committee, University of Waterloo Committee Member, Computational Mathematics Undergraduate Committee Committee Member, Undergraduate Affairs Committee, University of Waterloo

Committee Member, Computing Committee of the Department of Statistics and Actuarial Science, University of Waterloo Committee Member, Graduate Program Committee of the Department of Statistics and Actuarial Science, University of Waterloo Committee Member, Computing Advisory Committee of the Faculty of Mathematics, University of Waterloo 2011/7 - 2012/6 Committee Member, Steering Committee of Computational Mathematics, University of Waterloo 2011/7 - 2012/6 Committee Member, Graduate Program Committee of the Department of Statistics and Actuarial Science, University of Waterloo 2006/7 - 2012/6 Committee Member, Graduate Program Committee of the Computational Mathematics Center, University of Waterloo

Other Memberships Member, American Statistical Association Member, American Mathematical Society Member, Statistical Society of Canada Member, IEEE Computational Intelligence Society

Presentations 1. (2017). Deep Learning and its Application in Computational Biology. Institute for Research in Fundamental Sciences, Tehran, Iran, Islamic Republic of Invited?: Yes, Keynote?: No 2. (2017). Three Day Workshop on Deep Learning. Shiraz University, Shiraz, Iran, Islamic Republic of Invited?: Yes, Keynote?: No 3. (2017). One Day Workshop on Deep Learning and NLP or the Wester Universities of Switzerland. CUSO PhD School, Neufchatel, Switzerland Invited?: Yes, Keynote?: No 4. (2016). Scalable Manifold Learning. Mathematics House, Tehran, Iran, Islamic Republic of Invited?: Yes, Keynote?: No 5. (2016). Learning the structure of Sum-Product Networks. Sharif University, Tehran, Iran, Islamic Republic of Invited?: Yes, Keynote?: No 6. (2015). Scalable Non-Linear Dimensionality Reduction by Isometric Patch Alignment. Department of Statistics, University of Ottawa, Ottawa, Canada Invited?: Yes, Keynote?: No 7. (2014). Introduction to Machine Learning.Statistical Research and Training Center, Tehran, Iran, Islamic Republic of Main Audience: Researcher Invited?: Yes, Keynote?: Yes

8. (2014). Scalable Non-Linear Dimensionality Reduction by Isometric Patch Alignment. Qatar University, Doha, Qatar Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2014). Nonnegative Matrix Factorization via Rank-One Downdate and its Application in Sum-Product Networks Structure Learning.Iranian Statistical Conference, Kermanshah, Iran, Islamic Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2014). Nonnegative Matrix Factorization via Rank-One Downdate and its Application in Sum-Product Networks Structure Learning.Shiraz University, Shiraz, Iran, Islamic Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2013). Non-Linear Dimensionality Reduction by Isometric Patch Alignment. Google-Mountain View, Mountain View, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2013). Nonnegative matrix factorization via rank-one downdate. 22nd International Workshop on Matrices and Statistics, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2012). Non-Linear Dimensionality Reduction by Isometric Patch Alignment. INRIA, Lille, France Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2012). Dimensionality Reduction. Workshop on Computational Methods for High Dimensional Data, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2012). Tesseramap: Dimensionality Reduction by Tessellation of Linear Subspaces with Application in Protein Structure Determination. International Workshop on Perspectives on High-dimensional Data Analysis, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes

Publications

Journal Articles

1. Ganges M J Zarkoob H* Ghodsi A. (2017). Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion. IEEE/ACM Trans. on Computational Biology and Bioinformatics. 14(1): 167-181. Published Refereed?: Yes 2. Hassan A* Ghodsi, A. (2016). A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis. Journal of Machine Learning Research. 44: 19-29. Published Refereed?: Yes

3. Gangeh M* Fewzee P* Ghodsi A Kamel M Karray F. (2014). Multiview Supervised Dictionary Learning in Speech Emotion Recognition. Transactions on Audio, Speech and Language Processing. 22(6): 1056-1068. Published Refereed?: Yes 4. Farahat A Elgohary A Ghodsi A Kamel M. (2014). Greedy Column Subset Selection for Large-scale Data Sets. Knowledge and Information Systems. 44: 1-34. Published Refereed?: Yes 5. Dorri F* Ghodsi A. (2014). Minimizing the discrepancy between source and target domain by learning adapting components. Journal of Computer Science and Technology. 29(1): 105-115. Published Refereed?: Yes 6. Alipanahi B*, Krislock N**, Ghodsi A, Wolkowicz H, Donaldson L, Li M. (2013). Determining Protein structures from NOESY Distance Constraints by Semidefinite Programming. Journal of Computational Biology. 4(20): 296-310. Published Refereed?: Yes, Open Access?: No 7. Farahat A* Ghodsi A Kamel M. (2013). Efficient Greedy Feature Selection for Unsupervised Learning. Journal of Knowledge and Information Systems. 35(2): 285-310. Published Refereed?: Yes, Open Access?: No 8. Samadani A* Ghodsi A Kulic D. (2013). Discriminative Functional Analysis of Human Movements. Journal of Pattern Recognition Letters. 34(15): 1829-1839. Published Refereed?: Yes, Open Access?: No 9. Gangeh M* Ghodsi A Kamel M. (2013). Kernelized Supervised Dictionary Learning. IEEE Transactions on Signal Processing. 61(19): 4753 - 4767. Published Refereed?: Yes 10. Ganges M* Ghodsi A Kamel M. (2012). Supervised Texture Classification Using a Novel CompressionBased Similarity Measure. Proceedings of International Conference on Computer Vision and Graphics. Published Refereed?: Yes 11. Khajehpour P* Ghodsi A. (2012). Low Dimensional Localized Clustering. Proceedings of IEEE International Conference on Data Mining. Published Refereed?: Yes

Conference Publications

1. Banijamali E Shu R Ghavamzadeh M Bui H Ghodsi A. (2018). Robust Locally-Linear Controllable Embedding Robust. Proceedings of The 21st International Conference on Artificial Intelligence and Statistics, Lanzarote, Spain Conference Date: 2018/4 Paper Published 58

Refereed?: Yes, Invited?: No 2. Bidart, R Gangeh M J Peikari, M Salama S Nofech-Mozes, S Martel A L Ghodsi A. (2018). Localization and Classification of Cell Nuclei in Post-Neoadjuvant Breast Cancer Surgical Specimen Using Fully Convolutional Networks. SPIE Medical Imaging, Houston, United States Conference Date: 2018/2 Paper Accepted Refereed?: Yes, Invited?: No 3. Banijamali E* Ghodsi A Poupart P. (2017). Generative Mixture of Networks. Proceeding of 30th International Joint Conference on Neural Networks, Anchorage, United States Conference Date: 2017/10 Paper Published Refereed?: Yes, Invited?: No 4. Karimi A H* Shafiee M J* Ghodsi A Wong A. (2017). Ensembles of Random Projections for Nonlinear Dimensionality Reduction. Proceedings of The 3rd Conference on Vision and Imaging Systems, Waterloo, Canada Conference Date: 2017/10 Paper Published Refereed?: Yes, Invited?: No 5. Karimi A H* Shafiee M J* Ghodsi A Wong A. (2017). Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions. Proceedings of Annual Conference on Cognitive Computational Neuroscience, New York, United States Conference Date: 2017/9 Paper Published Refereed?: Yes, Invited?: No 6. Banijamali E* Ghodsi A. (2017). Fast Spectral Clustering using Autoencoders and Landmarks. Proceedings of the 14th International Conference on Image Analysis and Recognition, Montreal, Canada Conference Date: 2017/7 Paper Published Refereed?: Yes, Invited?: No 7. Karimi A H* Chung A* Shafiee M J* Khalvati F Haider M A Ghodsi A Wong A. (2017). Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-Parametric MRI Prostate Cancer Classification. Proceedings of The 14th International Conference on Image Analysis and Recognition, Conference Date: 2017/7 Paper Published Refereed?: Yes, Invited?: No 8. Ganges M J* Bedew S M A* Ghodsi A Kara F. (2016). Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion. International Conference on Image Analysis and Recognition, Povoa de Varzim, Portugal (12-19) Conference Date: 2016/7 Paper 59

Published Refereed?: Yes, Invited?: No 9. Yang G Ghodsi A. (2015). Kolmogorov Complexity Vector: A Novel Data Representation. The International Joint Conference on Neural Network (IJCNN 2015), Killarney, Ireland Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 10. Adel T* Balduzzi D Ghodsi A. (2015). Learning the Structure of Sum-Product Networks via an SVD-based Algorithm. Proceedings of The 31st Conference on Uncertainty in Artificial Intelligence, Amsterdam, Netherlands Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 11. Farahat A* Elgohary A* Ghodsi A Kamel M. (2013). Distributed Column Subset Selection on MapReduce. The Thirteenth IEEE International Conference on Data Mining, 2013. The Thirteenth IEEE International Conference on Data Mining, ICDM, Dallas, United States Conference Date: 2013/12 Paper Accepted Refereed?: Yes, Invited?: No 12. Sinn M** Ghodsi A Keller K. (2013). Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions. UAI 2012. 28th Conference on Uncertainty in Artificial Intelligence, Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: No 13. Khajehpour P* Ghodsi A. (2013). Low Dimensional Localized Clustering (LDLC). proceedings of IEEE International Conference on Data Mining. IEEE International Conference on Data Mining (ICDM), Brussels, Belgium Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 14. Dorri F* Ghodsi A. (2013). Adapting Component Analysis. proceedings of IEEE International Conference on Data Mining. The IEEE International Conference on Data Mining, Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 15. Khajehpour P* Alipanahi B* Ghodsi A. (2013). Manifold Unfolding by Isometric Patch Alignment with an Application in Protein Structure Determination. proceedings of workshop on Perspectives on High Dimensional Data Analysis. Workshop on Perspectives on High Dimensional Data Analysis, Conference Date: 2012/6 60

Paper Published Refereed?: Yes, Invited?: Yes 16. Gangeh M* Ghodsi A Kamel M. (2012). Supervised Texture Classification Using a Novel CompressionBased Similarity Measure.International Conference on Computer Vision and Graphics. International Conference on Computer Vision and Graphs, (3779-396) Conference Date: 2012/9 Paper Published Refereed?: Yes, Invited?: No 17. Alipanahi B*, Krislock N, Ghodsi A, Wolkowicz H, Donaldson L, Ming L. (2012). Determining Protein Structure by Semidefinite Facial Reduction. proceedings of RECOMB 2012. 16th Annual International Conference on Research in Computational Molecular Biology, Conference Date: 2012/4 Paper Published Refereed?: Yes, Invited?: No 18. Farahat A*, Ghodsi A, Kamel M. (2012). An Efficient Greedy Method for Unsupervised Feature Selection. Proceedings of the 11th IEEE International Conference on Data Mining. The Eleventh IEEE International Conference on Data Mining, Conference Date: 2011/12 Paper Published Refereed?: Yes, Invited?: No

This is a draft version only. Do not submit to any funding organization. Only the final version from the History page can be submitted.

Protected when completed

Professor Maura R. Grossman Correspondence language: English Sex: Female

Canadian Residency Status: Work Permit Applied for Permanent Residency?: No Country of Citizenship: United States

Contact Information The primary information is denoted by (*)

Address Primary Affiliation (*) David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo Ontario N2L 3G1 Canada

Telephone

Work (*) 1-519-888-4567 extension: 37522

Email Work (*) [email protected]

Website Corporate grossman.uwaterloo.ca

62 Professor Maura Grossman This is a draft version only. Do not submit to any funding organization. Only the final version from the History page can be submitted.

Protected when completed Professor Maura Grossman

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes

Degrees

1996/9 - 1999/5 Doctorate, J.D., Law, Georgetown University Degree Status: Completed 1986/9 - 1990/5 Certificate, Postdoctoral Certificate, Psychotherapy and Psychoanalysis, New York University Degree Status: Completed 1982/9 - 1984/5 Doctorate, Ph.D., Clinical/School Psychology, Adelphi University Degree Status: Completed Thesis Title: Intellectual Assessment of Usher's Syndrome in Adults 1980/9 - 1982/5 Master's non-Thesis, M.A., Psychology, Adelphi University Degree Status: Completed 1976/9 - 1980/5 Bachelor's, A.B., Psychology, Brown University Degree Status: Completed

Credentials

2001/2 Attorney admitted to practice in the United States District Court for the Eastern District of New York Member in good standing of the Bar of the United States District Court for the Eastern District of New York 2001/2 Attorney admitted to practice in the United States District Court for the Southern District of New York Member in good standing of the Bar of the United States District Court for the Southern District of New York 2000/3 Attorney admitted to practice in New York State Member in good standing of the New York State Bar

Recognitions

Certificate of Recognition for Innovative Mental Health Planning in New York State (Canadian dollar) Mental Health Planning Advisory Council Citation

63 Professor Maura Grossman Certificate of Recognition for Outstanding Contribution to Mental Illness Awareness Week (Canadian dollar) Bronx Borough President's Office Citation Creative Connections Award for Systems Initiatives (Canadian dollar) NYC Department of Mental Health, Mental Retardation & Alcoholism Services Prize / Award Honorable Mention, New York State Psychological Association Annual Paper Competition (Canadian dollar) New York State Psychological Association Honor Certificate of Recognition for Excellence in Bringing Mental Illness Awareness to the Public (Canadian dollar) American Psychiatric Association Citation 2016/9 2016 Legal Rebel American Bar Association (ABA) Journal Distinction Selected by the American Bar Association Journal as one of the ten most notable innovators and mavericks in the legal profession in 2016 2015/10 - 2016/10 Ranked in Who's Who Legal: E-Discovery Analysis in 2015 and 2016 (Canadian dollar) Who's Who Legal Honor Selected by independent research of peers as one of the top legal practitioners in the field of electronic discovery 2013/5 - 2016/5 Ranked in Chambers & Partners Global and USA Litigation: E-Discovery in 2013, 2014, 2015, and 2016 (Canadian dollar) Chambers & Partners Honor Selected by independent research of peers as one of the top legal practitioners in the field of electronic discovery 1999/5 CALI Excellence for the Future Award (Canadian dollar) The Center for Computer-Assisted Legal Instruction Prize / Award Top student (highest grade) in Negotiations Seminar 1999/5 Magna Cum Laude (Canadian dollar) Georgetown University Law Center Distinction Academic distinction for overall college performance 1999/5 Order of the Coif (Canadian dollar) Georgetown University Law Center Distinction Top 10% of the graduating class 1999/5 CALI Excellence for the Future Award (Canadian dollar) The Center for Computer-Assisted Legal Instruction Prize / Award Top Student (highest grade) in The Legal Profession Seminar

64 Professor Maura Grossman 1998/5 - 1998/9 National Science Foundation Undergraduate Research Fellowship (Canadian dollar) National Science Foundation Prize / Award 1997/9 - 1999/5 Editor and Executive Notes and Comments Editor of The Georgetown Law Journal (Canadian dollar) Georgetown University Law Center Honor Elected to law review in 1997; appointed to senior editorial position on law review in 1998-99 1997/9 - 1999/5 Gewirz Resident Fellow (Canadian dollar) Georgetown University Law Center Advisor in residence for 1997-98 and 1998-99 academic years 1997/5 Honors in Legal Research and Writing (Canadian dollar) Georgetown University Law Center Honor Top of the class in Legal Research and Writing Course 1996/5 - 1999/5 Dean's List (Canadian dollar) Georgetown University Law Center Honor Top of the class for academic years 1996-97, 1997-98, and 1998-99 1980/5 Magna Cum Laude (Canadian dollar) Brown University Distinction 1980/5 Honors in Psychology (Canadian dollar) Brown University Distinction Academic distinction awarded in undergraduate major 1977/9 - 1980/5 Brown University Undergraduate Teaching Fellow (Canadian dollar) Brown University Honor Selected as undergraduate teaching fellow for psychology courses

User Profile Researcher Status: Researcher Research Career Start Date: 2016/06/01 Engaged in Clinical Research?: No Research Interests: Information Retrieval Technology-Assisted Review Text Classification Active Machine Learning with Human Feedback Research Experience Summary: In my previous careers as a clinical psychologist and lawyer, I conducted research on issues and problems that arose in the course of my work. Beginning in 2008, I became increasingly involved in the study of information retrieval and learning methods as applied to electronic discovery in legal and regulatory matters. In June 2016, I joined the faculty of the David R. Cheriton School of Computer Science at the University of Waterloo as a full-time Research Professor.

65 Professor Maura Grossman Employment

2014/5 Professor Law School, Law School, Georgetown University Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Teaching courses in the J.D. and LL.M. programs on electronic discovery 2012/1 Lecturer in Law Law School, Law School, Columbia University Part-time, Adjunct, Lecturer Tenure Status: Non Tenure Track Teaching courses in the J.D. and LL.M. programs on electronic discovery; Supervision of J.D. and LL.M. students on required research and writing projects 2016/6 - 2019/5 Research Professor Faculty of Mathematics, David R. Cheriton School of Computer Science, University of Waterloo Full-time, Term, Professor Tenure Status: Non Tenure Track Conducting research; Teaching courses to upper-level undergraduates in the computer science major and graduate students in computer science 1999/9 - 2016/6 Of Counsel (Apr. 2013 - June 2016), Counsel (Jan. 2007 - Mar. 2013), and Litigation Associate (Sept. 1999 - May 2003 & Oct. 2003 - Dec. 2006) Litigation Group, Wachtell, Lipton, Rosen & Katz Full-time Representation of Fortune 100 companies and major financial services institutions in civil litigation and white-collar regulatory matters from 1999 through 2006; Practice was focused exclusively on electronic discovery and information governance from 2007 through 2016 2010/9 - 2012/5 Professor Law School, Law School -- Newark, Rutgers, The State University of New Jersey Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Teaching courses in the J.D. program on electronic discovery; Supervision of J.D. students on required research and writing projects 2011/1 - 2011/5 Professor Law School, Law School, Pace University Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Teaching a course in the J.D. program on electronic discovery 2003/5 - 2003/10 Assistant General Counsel Litigation Group at Philip Morris USA, Altria Corporate Services, Inc. Full-time In-house counsel managing high-stakes civil litigation matters 1998/5 - 1998/8 Summer Associate Litigation Group, Kirkland & Ellis Full-time Litigation practice in the New York office of a large Chicago law firm

66 Professor Maura Grossman 1997/5 - 1997/8 Summer Associate Health Law and Litigation Groups, Powell, Goldstein, Frazer & Murphy, LLP Full-time Health law and litigation practices in the Washington, DC office of a large Atlanta law firm 1992/9 - 1996/5 Clinical Supervisor School of Social Work, School of Social Work, Columbia University Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Supervision of M.S.W. candidates on hospital-based clinical work 1992/9 - 1996/5 Clinical Supervisor College of Osteopathic Medecine, College of Ostepathic Medecine, New York College of Osteopathic Medecine Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Supervision of D.O. candidates on hospital-based clinical work 1991/2 - 1996/5 Deputy Director for Clinical and Preventive Services Fordham-Tremont Community Mental Health Center / St. Barnabus Hospital Full-time Responsible for the mental health services provided by 200 staff at 12 hospital-affiliated outpatient clinics and programs serving 5,000 patients in the South Bronx of New York 1988/1 - 1996/5 Licensed Psychologist and Consultant Maura R. Grossman, Ph.D. Part-time Private practice providing psychological assessment and outpatient psychotherapy services to children, adolescents, and adults; Psychological consultation services provided to two adult nursing home facilities 1989/9 - 1991/5 Clinical Supervisor Silver School of Social Work, Silver School of Social Work, New York University Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Supervision of M.S.W. and D.S.W. candidates on hospital-based clinical work 1988/2 - 1991/1 Director of Psychological Services Psychology Department, Woodhull Medical & Mental Health Center / NYC Health & Hospitals Corporation Full-time Oversaw Psychology Department (including both inpatient and outpatient services) in a large, inner-city municipal hospital 1988/9 - 1989/5 Professor Department of Educational and Community Programs, Queens College, City University, New York Part-time, Adjunct, Professor Tenure Status: Non Tenure Track Teaching courses in the M.S. program on psychological assessment 1981/9 - 1988/5 Assistant Professor Gordon F. Derner Institute of Advanced Psychological Studies, Gordon F. Derner Institute of Advanced Psychological Studies, Adelphi University Part-time, Adjunct, Assistant Professor Tenure Status: Non Tenure Track Teaching courses in the Ph.D. program on psychological assessment; Supervision of Ph.D. candidates on hospital-based clinical work 67 Professor Maura Grossman 1985/6 - 1988/1 Psychologist and Director of Training Pride of Judea Mental Health Center Full-time Provided outpatient mental health services to children, adolescents, and adults; Developed, implemented, and oversaw graduate psychology training program for Ph.D. students interning at the clinic 1985/6 - 1986/5 Assistant Director Fordham University Full-time Assistant Director of the on-campus student mental health center at Fordham University, Rose Hill Campus in the Bronx, New York 1984/6 - 1985/5 Doctoral Intern in Adult Psychiatry Adult Psychiatry, North Shore University Hospital / Cornell University Medical College Full-time Full-time supervised practice of adult psychology in a teaching hospital setting 1984/6 - 1985/5 Postdoctoral Fellow in Child and Adolescent Psychiatry Child and Adolescent Psychiatry, North Shore University Hospital / Cornell University Medical College Full-time Full-time supervised practice of child and adolescent psychology in a teaching hospital setting

Student/Postdoctoral Supervision

Doctorate [n=3] 2015/9 - 2015/12 Alexander Nourse Gross (Completed) , Columbia Law School Principal Supervisor Degree Name: J.D. Specialization: Law Student Degree Start Date: 2013/9 Student Degree Received Date: 2016/5 Student Canadian Residency Status: Not Applicable Thesis/Project Title: A Safe Harbor From Spoliation Sanctions: Can an Amended Federal Rule of Civil Procedure 37(e) Protect Producing Parties, 2015 Colum. Bus. L. Rev, 705 (2015) Project Description: Supervised research and major writing requirement for J.D., which was subsequently published in the Columbia Business Law Review Student Country of Citizenship: United States 2014/9 - 2014/12 Daniel Sockwell (Completed) , Columbia Law School Academic Advisor Degree Name: J.D. Specialization: Law Student Degree Start Date: 2012/9 Student Degree Received Date: 2015/5 Student Canadian Residency Status: Not Applicable Thesis/Project Title: Deterring Discovery-Driven Data Deletion, 2014 Colum. Bus. L. Rev. 548 (2014) Project Description: Advised on J.D. major writing requirement and law review note, which was subsequently published in the Columbia Business Law Review Student Country of Citizenship: United States

68 Professor Maura Grossman John Robert Wallace (Completed) , Rutgers University Law School--Newark 2010/9 - 2010/12 Degree Name: J.D. Co-Supervisor Specialization: Law Student Degree Start Date: 2008/9 Student Degree Received Date: 2011/5 Student Canadian Residency Status: Not Applicable Thesis/Project Title: The Discoverability of Social Media Evidence, 10 Bloomberg Digital Discovery & e-Evidence 211 (May 12, 2011) Project Description: Supervision of course-related paper that was subsequently published in Bloomberg Digital Discovery & e-Evidence Report Present Position: Librarian, Atlantic Cape Community College Student Country of Citizenship: United States

Post-doctorate [n=2] 2016/1 - 2016/5 Yael Rubenstein (Completed) , Columbia Law School Principal Supervisor Degree Name: LLM Specialization: Law Student Degree Start Date: 2014/9 Student Degree Received Date: 2016/5 Student Canadian Residency Status: Not Applicable Thesis/Project Title: The Right to be Forgotten: Shining the Light on the Right to Remain in the Dark Project Description: LLM writing requirement Student Country of Citizenship: Israel 2016/1 - 2016/5 Hwee Lee Danna Er (Completed) , Columbia Law School Principal Supervisor Degree Name: LLM Specialization: Law Student Degree Start Date: 2014/9 Student Degree Received Date: 2016/5 Student Canadian Residency Status: Not Applicable Thesis/Project Title: Weathering the Evolving Landscapes of Electronic Discovery: A Comparative Analysis Project Description: LLM writing requirement Present Position: Attorney, Clyde & Co. Clasis Singapore Ltd. Student Country of Citizenship: Singapore

Staff Supervision

Expert Witness Activities

2015/7 - 2015/11 Court-Appointed Special Master, Rio Tinto PLC v. Vale, S.A., Case No. 1:14-cv-03042- RMB-AJP, 2015 WL 4367250 (S.D.N.Y. July 15, 2015), United States, New York Court-Appointed Special Master to resolve disputes between the parties over the use of technology-assisted review in electronic discovery 2011/9 - 2012/1 Court-Appointed Mediator, National Day Laborer Organizing Netwoek, et al. v. U.S. Immigration and Customs Enforcement, et al., Case No. 1:10-cv-03488-SAS (S.D.N.Y. 2011), United States, New York Appointed by the court to mediate discovery disputes between a non-profit public interest group and five government agencies over searches and productions in response to Freedom of Information Act (FOIA) requests

69 Professor Maura Grossman 2010/9 - 2010/10 Expert to the Court, FTC v. Church & Dwight Co., Case No. 1:10-mc-00149-JMF (D.D.C. 2010), United States, Washington DC Served as an electronic discovery expert to the court in connection with disputes between a government agency and a public corporation concerning search of electronically stored information

Committee Memberships

2014/11 Co-chair, TREC Total Recall Track, National Institute of Standards and Technology Co-coordinator of the National Institute of Standards and Technology's TREC Total Recall Track 2012/6 Committee Member, Steering Committee, Seventh Circuit Pilot Program I was appointed by Magistrate Judge Nan R. Nolan (Ret.) to serve on the Steering Committee that oversees the Seventh Circuit Pilot Program, a joint project of the federal court system and the federal bar in Illinois, Indiana, and Wisconsin to develop guidelines, protocols, and training programs for lawyers and judges in the Seventh Circuit 2012/1 Committee Member, Steering Committee, The Sedona Conference Serve as a member of the steering committee that oversees The Sedona Conference's Working Group 1 on Best Practices for Electronic Document Production and Retention, a non-partisan think-tank on electronic discovery 2010/9 Co-chair, E-Discovery Working Group, New York State Unified Court System Appointed by Chief Administrative Judge Ann Pfau as co-chair of the Working Group advising the New York State Unified Court System on all aspects of electronic discovery 2009/11 - 2011/12 Co-chair, TREC Legal Track, National Institute of Standards and Technology Co-coordinator of the National Institute of Standards and Technology TREC Legal Track 2011/1 - 2011/11 Committee Member, Attorney Advisory Group to the Judicial Improvements Committee of the United States District Court for the Southern District of New York, U.S. District Court for the Southern District of New York Appointed to the Judicial Improvements Committee by District Judge Shira A. Scheindlin; Principal draftsperson of Appendix B to In re: Pilot Project Regarding Case Management Techniques for Complex Civil Cases in the Southern District of New York, 11 Misc. 00388, Standing Order (Nov. 1, 2011)

Text Interviews

2016/09/16 AI and the Future of E-Discovery: AL Interview with Maura Grossman, Artificial Lawyer 2016/07/28 E-discovery pioneer creates smart search for archive of VP candidate's emails, American Bar Association Journal 2016/07/27 See and Search Tim Kaine's Email on This Website, Bloomberg Big Law Business 2016/07/27 Wachtell E-discovery Guru Sets Sights on Presidential Race, The American Lawyer 2016/07/20 ACEDS Interview: Maura Grossman's Big Move, Association of Certified Electronic Discovery Specialists (ACEDS) 2016/07/13 Lawyer Who Brought Artificial Intelligence to Wachtell Leaves Big Law, The American Lawyer 2016/02/01 The Lawyer Inventor, The American Lawyer 70 Professor Maura Grossman 2015/02/01 Predictive Coding Has Something to Prove: Courts and judges embrace it, but is it really fixing discovery?, ABA Journal 2012/04/01 Law By the Numbers: Efficient E-Discovery, ABA Journal 2012/01/09 What Technology-Assisted Electronic Discovery Teaches Us About the Role of Humans in Technology, Forbes

Publications

Journal Articles 1. Yael Rubenstein and Maura R. Grossman. (2017). The Right to be Forgotten: Shining the Light on the Right to Remain in the Dark. Harvard Law Review. Submitted, Refereed?: Yes, Open Access?: Yes 2. Maura R. Grossman and Gordon V. Cormack. (2016). Continuous Active Learning for TAR. Practical Law: The Journal. 2016(April/May): 32-37. Published, Refereed?: No, Open Access?: No 3. Author is The Sedona Conference Editors-in-Chief: Jason R. Baron Maura R. Grossman. (2014). The Sedona Conference Commentary on the Use of Search and Information Retrieval Methods in E-Discovery. The Sedona Conference Journal. 15(Fall) Published, Refereed?: Yes, Open Access?: Yes 4. Author is The Sedona Conference Journal Editors-in-Chief: Jason R. Baron Maura R. Grossman Jeffrey C. Sharer. (2014). The Sedona Conference Commentary on Achieving Quality in the E-Discovery Process. The Sedona Conference Journal. 15(Fall) Published, Refereed?: Yes, Open Access?: Yes 5. Maura R. Grossman and Gordon V. Cormack. (2014). Comments on "The Implications of Rule 26(g) on the Use of Technology-Assisted Review.". Federal Courts Law Review. 8(1): 285-313. Published, Refereed?: Yes, Open Access?: Yes 6. Maura R. Grossman and Gordon V. Cormack. (2013). The Grossman-Cormack Glossary of Technology Assisted Review, with Foreword by John M. Facciola, U.S. Magistrate Judge. Federal Courts Law Review. 7(1): 1-34. Published, Refereed?: Yes, Open Access?: Yes 7. Thomas Y. Allman, Jason R. Baron, and Maura R. Grossman. (2013). Preservation, Search Technology, and Rulemaking. The Computer & Internet Lawyer. 30(2): 20-28. Published, Refereed?: No, Open Access?: No 8. Maura R. Grossman and Gordon V. Cormack. (2012). Inconsistent Responsiveness Determination in Document Review: Difference of Opinion or Human Error?. Pace Law Review. 32(2): 266-288. Published, Refereed?: Yes, Open Access?: Yes 9. Maura R. Grossman and Gordon V. Cormack. (2011). Some Thoughts on Incentives, Rules, and Ethics Concerning the Use of Search Technology in E-Discovery. The Sedona Conference Journal. 12 Published, Refereed?: Yes, Open Access?: No 71 Professor Maura Grossman 10. Maura R. Grossman and Gordon V. Cormack. (2011). Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review. Richmond Journal of Law and Technology. 17(3): 1-48. Published, Refereed?: Yes, Open Access?: Yes

Book Chapters 1. Maura R. Grossman and Gordon V. Cormack. (2016). A Tour of Technology-Assisted Review. Jason R. Baron, Michael D. Berman, and Ralph C. Losey. Perspectives on Predictive Coding and Other Advanced Search and Review Technologies for the Legal Practitioner. : 57-68. In Press, American Bar Association, Refereed?: Yes 2. Maura R. Grossman. (2013). Arbitration and E-Discovery Overview: Potential Minefields and Dispute Resolution Strategies. Daniel B. Garrie and Yoav M. Griver. Dispute Resolution and E-Discovery. 2nd: 155-176. Published, Thompson Reuters West, Refereed?: No

Reports 1. Author is The Sedona Conference Editor-in-Chief: Maura R. Grossman. (2016). The Sedona Conference Commentary on Defense of Process: Principles and Guidelines for Developing and Implementing a Sound E-Discovery Process. 48. The Sedona Conference. 2. Author is The Sedona Conference Editor-in-Chief: Maura R. Grossman. (2016). The Sedona Conference TAR Case Law Primer. 27. The Sedona Conference. 3. Gordon V. Cormack and Maura R. Grossman. (2015). Autonomy and Reliability of Continuous Active Learning for Technology-Assisted Review. arXiv:1504.06868. 19. ArXiv.

Conference Publications 1. Adam Roegiest, Gordon V. Cormack and Maura R. Grossman. (2016). TREC 2016 Total Recall Track Overview. TREC 2016. TREC 2016: Twenty-FifthText Retrieval Conference, Gaithersburg, United States, Conference Date: 2016/11 Paper In Press Refereed?: No, Invited?: No 2. Gordon V. Cormack and Maura R. Grossman. (2016). Scalability of Continuous Active Learning for Reliable High-Recall Text Classification. CIKM 2016. CIKM 2016, Indianapolis, United States (10 Pages), Conference Date: 2016/10 Paper In Press Refereed?: Yes, Invited?: No 3. Gordon V. Cormack and Maura R. Grossman. (2016). Engineering Quality and Reliability in Technology- Assisted Review. SIGIR 2016. SIGIR 2016, Pisa, Italy (10 Pages), Conference Date: 2016/7 Paper Published Refereed?: Yes, Invited?: No

72 Professor Maura Grossman 4. Adam Roegiest, Gordon V. Cormack, Maura R. Grossman, and Charles L. A. Clarke. (2015). TREC 2015 Total Recall Track Overview. TREC 2015. TREC 2015: The Twenty-Fourth Text Retrieval Conference, Gaithersburg, United States (27 Pages), Conference Date: 2015/11 Paper In Press Refereed?: No, Invited?: No 5. Gordon V. Cormack and Maura R. Grossman. (2015). Waterloo (Cormack) Participation in the TREC 2015 Total Recall Track. TREC 2015. TREC 2015: The Twenty-Fourth Text Retrieval Conference, Gaithersburg, United States (3 Pages), Conference Date: 2015/11 Paper Published Refereed?: No, Invited?: No 6. Gordon V. Cormack and Maura R. Grossman. (2015). Multi-Faceted Recall of Continuous Active Learning for Technology-Assisted Review. SIGIR 2015. SIGIR 2016, Santiago, Chile, Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 7. Adam Roegiest, Gordon V. Cormack, and Maura R. Grossman. (2015). Impact of Surrogate Assessments on High-Recall Retrieval. SIGIR 2015. SIGIR 2015, Santiago, Chile (10 Pages), Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 8. Gordon V. Cormack and Maura R. Grossman. (2014). Evaluation of Machine-Learning Protocols for Technology-Assisted Review in Electronic Discovery. SIGIR 2014. SIGIR 2014, Gold Coast, Australia (10 Pages), Conference Date: 2014/7 Paper Published Refereed?: Yes, Invited?: No 9. Maura R. Grossman, Gordon V. Cormack, Bruce Hedin and Douglas W. Oard. (2011). Overview of the TREC 2011 Legal Track. TREC 2011. TREC 2011: The Twentieth Text Retrieval Conference, Gaithersburg, United States (20 Pages), Conference Date: 2011/11 Paper Published Refereed?: No, Invited?: No 10. Maura R. Grossman and Gordon V. Cormack. (2011). Inconsistent Assessment of Responsiveness in E- Discovery: Difference of Opinion or Human Error?. DESI IV. ICAIL 2011 Workshop on Setting Standards for Searching Electronically Stored Information in Discovery Proceedings (DESI IV Workshop), Pittsburgh, United States (11 Pages), Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: No

73 Professor Maura Grossman 11. Gordon V. Cormack, Maura R. Grossman, Bruce Hedin and Douglas W. Oard. (2010). Overview of the TREC 2010 Legal Track. TREC 2010. TREC 2010: The Nineteenth Text Retrieval Conference, Gaithersburg, United States (45 Pages), Conference Date: 2010/11 Paper Published Refereed?: No, Invited?: No

Intellectual Property

Patents 1. Systems and Methods for Conducting and Terminating Technology Assisted Review. United States. 15/186366. 2016/06/17. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods are provided for classifying electronic information and terminating a classification process which utilizes Technology-Assisted Review (“TAR”) techniques. In certain embodiments, the TAR process, which is an iterative process, is terminated based upon one more stopping criteria. In certain embodiments, use of the stopping criteria ensures that the TAR process will reliably achieve a level of quality (e.g., recall) with a certain probability. In certain embodiments, the TAR process is terminated when it independently identifies a target set of documents. In certain embodiments, the TAR process is terminated based upon whether the ratio of the slope of the TAR process’s gain curve before an inflection point to the slope of the TAR process’ gain curve after the inflection point exceeds a threshold. In certain embodiments, the TAR process is terminated when a review budget and slope ratio of the gain curve each exceed a respective threshold. 2. Systems and Methods for Conducting and Terminating a Technology Assisted Review. United States. 15/186377. 2016/06/17. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Patent Systems and methods are provided for classifying electronic information and terminating a classification process which utilizes Technology-Assisted Review (“TAR”) techniques. In certain embodiments, the TAR process, which is an iterative process, is terminated based upon one more stopping criteria. In certain embodiments, use of the stopping criteria ensures that the TAR process will reliably achieve a level of quality (e.g., recall) with a certain probability. In certain embodiments, the TAR process is terminated when it independently identifies a target set of documents. In certain embodiments, the TAR process is terminated based upon whether the ratio of the slope of the TAR process’s gain curve before an inflection point to the slope of the TAR process’ gain curve after the inflection point exceeds a threshold. In certain embodiments, the TAR process is terminated when a review budget and slope ratio of the gain curve each exceed a respective threshold.

74 Professor Maura Grossman 3. Systems and Methods for Conducting a Highly Autonomous Technology-Assisted Review Classification. United States. 15/186382. 2016/06/17. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information are provided by way of a Technology-Assisted Review (“TAR”) process, specifically an “Auto-TAR” process that limits discretionary choices in an information classification effort, while still achieving superior results. Auto-TAR selects an initial relevant document from a document collection, selects a number of other documents from the document collection and assigns them a default classification, trains a classifier using a training set made up of the selected relevant document and the documents assigned a default classification, scores documents in the document collection and determines if a stopping criteria is met. If a stopping criteria has not been met, the process sorts the documents according to scores, selects a batch of documents from the collection for further review, receives user coding decisions for them, and re-trains a classifier using the received user coding decisions and an adjusted training set. 4. Systems and Methods for a Scalable Continuous Active Learning Approach to Information Classification. United States. 15/186387. 2016/06/17. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information are provided by way of a Technology-Assisted Review (“TAR”) process. In certain embodiments, the TAR process is a Scalable Continuous Active Learning (“S-CAL”) approach. In certain embodiments, S-CAL selects an initial sample from a document collection, trains a classifier by using a default classification for a portion of the initial sample, scores the initial sample, selects a sub-sample from the initial sample for review, removes the reviewed sub- sample from the initial sample, and repeats the process by re-training the classifier until the initial sample is exhausted. In certain embodiments, a classification threshold is determined using a calculated estimate of the prevalence of relevant information such that the threshold classifies the information in accordance with a determined target criteria. In certain embodiments, the estimate of prevalence is determined from the results of iterations of a TAR process such as S-CAL. 5. Systems and Methods for Conducting and Terminating Technology Assisted Review. United States. 15/186360. 2016/06/17. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods are provided for classifying electronic information and terminating a classification process which utilizes Technology-Assisted Review (“TAR”) techniques. In certain embodiments, the TAR process, which is an iterative process, is terminated based upon one more stopping criteria. In certain embodiments, use of the stopping criteria ensures that the TAR process will reliably achieve a level of quality (e.g., recall) with a certain probability. In certain embodiments, the TAR process is terminated when it independently identifies a target set of documents. In certain embodiments, the TAR process is terminated based upon whether the ratio of the slope of the TAR process’s gain curve before an inflection point to the slope of the TAR process’ gain curve after the inflection point exceeds a threshold. In certain embodiments, the TAR process is terminated when a review budget and slope ratio of the gain curve each exceed a respective threshold.

75 Professor Maura Grossman 6. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 20150324451. 2015/07/22. Patent Status: Pending Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases. In certain embodiments, the active learning algorithm forks a number of classification paths corresponding to predicted user coding decisions for a selected document. The active learning algorithm determines an order in which the documents of the collection may be processed and scored by the forked classification paths. Such document classification systems are easily scalable for large document collections, require less manpower and can be employed on a single computer, thus requiring fewer resources. Furthermore, the classification systems and methods described can be used for any pattern recognition or classification effort in a wide variety of fields. 7. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 9122681. 2013/03/15. Patent Status: Granted/Issued Year Issued: 2015 Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases. In certain embodiments, the active learning algorithm forks a number of classification paths corresponding to predicted user coding decisions for a selected document. 8. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 8838606. 2013/06/18. Patent Status: Granted/Issued Year Issued: 2014 Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. In certain embodiments, seed sets may be eliminated by merging relevance feedback and machine learning phases. 9. Systems and Methods for Classifying Electronic Information Using Advanced Active Learning Techniques. United States. 8713023. 2013/06/18. Patent Status: Granted/Issued Year Issued: 2014 Inventors: Maura R. Grossman and Gordon V. Cormack Systems and methods for classifying electronic information or documents into a number of classes and subclasses are provided through an active learning algorithm. Such document classification systems are easily scalable for large document collections, require less manpower and can be employed on a single computer, thus requiring fewer resources. Furthermore, the classification systems and methods described can be used for any pattern recognition or classification effort in a wide variety of fields, including electronic discovery in legal proceedings.

Trademarks 1. Continuous Active Learning Pending Filing Date: 2015/04/19 A novel method for technology-assisted review.

76 Professor Maura Grossman 2. CAL Pending Filing Date: 2015/04/19 Acronym for Continuous Active Learning -- a novel method for technology-assisted review.

77 Dr. Jesse Hoey Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes Yes Yes Yes

Degrees - 2004/5 Doctorate, Computer Science, University of British Columbia Supervisors: James J. Little, 1997/9 - 2004/4 - 1995/5 Master's Thesis, Physics, University of British Columbia Supervisors: William Hsieh, 1992/9 - 1994/4 - 1992/5 Bachelor's, Physics, McGill University Supervisors: David Hanna, 1989/9 - 1992/4

Recognitions 2017/8 Outstanding Recent Contribution in Social Psychology Paper Award American Sociological Association Prize / Award Most significant paper in social pyschology in the past year. 2017/8 Section on Mathematical Sociology Outstanding Publication Award American Sociological Association Prize / Award Most outstanding publication in mathematical sociology in the past year. 2014/5 - 2017/4 Cheriton Faculty Fellow - 37,500 University of Waterloo Distinction The title of Cheriton Faculty Fellow is intended to recognize a faculty member whose scholarly work is widely known and respected internationally, who is an accomplished teacher at all levels, and who has displayed a high level of commitment and dedication to her/his department or school, the Faculty and the University. 2011/5 - 2015/4 Accelerator Supplement - 120,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award Competitive three-year award User Profile

Research Specialization Keywords: Affective Computing, Algorithms, Artificial Intelligence, Assistive Technology, Cameras, Computer Vision, Decision Theory

78 Dr. Jesse Hoey Employment 2013/7 Associate Professor computer science, mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2006/4 Adjunct Scientist Head Office, Toronto Rehabilitation Institute 2014/9 - 2015/7 Visiting Professor Computer Science, Institut National de Recherche en Informatique et Automatique Full-time, Visiting Professorship, Associate Professor Tenure Status: Tenure 2010/6 - 2013/6 Assistant Professor Computer Science, mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2006/5 - 2010/5 Lecturer Applied Computing, University of Dundee Full-time, Assistant Professor Tenure Status: Tenure 2004/3 - 2006/4 Postdoctoral Researcher Computer Science, University of Toronto Full-time Tenure Status: Non Tenure Track 1997/9 - 2004/2 Research Assistant Computer Science, University of British Columbia Full-time Tenure Status: Non Tenure Track 2003/4 - 2003/6 Instructor Computer Science, University of British Columbia Full-time Tenure Status: Non Tenure Track 2002/4 - 2002/6 Instructor Computer Science, University of British Columbia Full-time Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=5] 2016/4 - 2021/3 ATSA-ESI: Assistive Technology Supporting Aging with Emotional and Social Intelligence, Principal Investigator Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants Total Funding - 215,000 Portion of Funding Received - 215,000

Dr. Jesse Hoey Funding Competitive?: Yes 2017/3 - 2020/2 THEMIS.COG: Theoretical and Empirical Modeling of Identity and Sentiments in Principal Investigator Collaborative Groups, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Trans-Atlantic Platform Digging into Data Challenge Total Funding - 99,950 Portion of Funding Received - 99,950 Funding Competitive?: Yes Social Sciences and Humanities Research Council of Canada (SSHRC) Trans-Atlantic Platform Digging into Data Challenge Total Funding - 99,914 Portion of Funding Received - 99,914 Funding Competitive?: Yes Principal Investigator : Kimberly B. Rogers; Mei Nagappan; Tobias Schroeder 2015/4 - 2018/3 Affective Computing for Social Connectedness, Grant Principal Investigator Funding Sources: Canadian Consortium on Neurodegeneration and Aging (CCNA) Canadian Consortium on Neurodegeneration and Aging (CCNA) Total Funding - 69,000 Portion of Funding Received - 69,000 Funding Competitive?: Yes 2015/1 - 2017/12 Affective and Cognitive Technologies for AssisTance in the HOME (ACT@HOME), Grant Principal Investigator Funding Sources: Alzheimer's Association (The) Everyday Technologies for Alzheimer's Care (ETAC) Total Funding - 199,950 Portion of Funding Received - 199,950 Funding Competitive?: Yes Principal Investigator : Alex Mihailidis 2015/4 - 2016/3 DIY-AIDE - Adaptable Intelligent Domestic Environments, Grant Principal Investigator Funding Sources: Networks of Centres of Excellence (NCE) AGE-WELL Total Funding - 103,800 Portion of Funding Received - 103,800 Funding Competitive?: Yes Principal Investigator : Helene Pigot

Completed [n=22] 2011/5 - 2016/4 Machine Learning, Dense Sensing and Decision Theoretic Planning for Large Scale Principal Investigator Assistance Systems, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 145,000 80 Dr. Jesse Hoey Portion of Funding Received - 145,000 Funding Competitive?: Yes 2011/5 - 2016/4 Machine Learning, Dense Sensing and Decision Theoretic Planning for Large Principal Applicant Scale Assistance Systems, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Accelerator Supplement Award Total Funding - 120,000 Portion of Funding Received - 90,000 Funding Competitive?: Yes 2014/6 - 2015/7 Adaptive and Emotionally Aware Chatbots, Grant Principal Applicant Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Total Funding - 135,000 Portion of Funding Received - 135,000 Funding Competitive?: Yes 2011/9 - 2015/3 Computational Health Informatics Laboratory, Grant Principal Applicant Funding Sources: Canada Foundation for Innovation (CFI) Leaders Opportunity Fund Total Funding - 176,166 Portion of Funding Received - 176,166 Funding Competitive?: Yes 2011/9 - 2015/3 Computational Health Informatics Laboratory, Grant Principal Applicant Funding Sources: Industry Canada Small Infrastructure Funds Total Funding - 176,166 Portion of Funding Received - 176,166 Funding Competitive?: Yes 2011/9 - 2014/8 A digital tool for art therapists working with persons with dementia, Grant Principal Applicant Funding Sources: Alzheimer's Association (The) Everyday Technologies for Alzheimer's Care (ETAC) Total Funding - 239,998 Portion of Funding Received - 239,998 Funding Competitive?: Yes 2013/5 - 2014/4 Adaptive Dialog Techniques for Chatbots, Grant Principal Applicant Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Total Funding - 93,334 Portion of Funding Received - 93,334 Funding Competitive?: Yes

81 Dr. Jesse Hoey 2010/9 - 2013/8 Offering situational awareness from activity estimation and social networks, Grant Co-applicant Funding Sources: Alzheimer's Association (The) Everyday Technologies for Alzheimer's Care (ETAC) Total Funding - 164,040 Portion of Funding Received - 52,227 Funding Competitive?: Yes Principal Applicant : Favela, J 2011/9 - 2013/8 Technology for Cognitive Assistance in Healthcare, Grant Principal Applicant Funding Sources: Ontario Ministry of Research and Innovation (ON) PostDoctoral Fellowship Total Funding - 50,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes 2010/7 - 2013/7 Startup Grant, Grant Principal Applicant Funding Sources: University of Waterloo Startup Grant Total Funding - 80,000 Portion of Funding Received - 80,000 Funding Competitive?: Yes 2011/7 - 2013/6 Postdoctorial Fellowship, Grant Principal Applicant Funding Sources: Industry Canada Ontario Ministry of Science and Innovation Total Funding - 50,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes 2009/10 - 2012/9 Scaling up Statistical Spoken Dialogue Systems, Grant Co-investigator Funding Sources: Engineering and Physical Sciences Research Council (EPSRC) (UK) Research Grant Total Funding - 313,013 Portion of Funding Received - 21,000 Funding Competitive?: Yes 2010/9 - 2012/9 Towards Responsive Intelligent Cognitive Assistants for Older People, Grant Co-investigator Funding Sources: Leverhulme Trust (The) Total Funding - 116,015 Portion of Funding Received - 0 Funding Competitive?: Yes Principal Applicant : Moore, J

82 Dr. Jesse Hoey 2009/10 - 2012/9 Inclusion Through the Digital Economy Hub, Grant Collaborator Funding Sources: Engineering and Physical Sciences Research Council (EPSRC) (UK) Research Grant Total Funding - 14,405,660 Portion of Funding Received - 53,651 Funding Competitive?: Yes Principal Applicant : Hanson V; Watson P

2011/5 - 2012/4 Personal Robots to Support Aging-in-Place: Pilot testing of a novel 'robot-smart Co-investigator home' platform, Grant Funding Sources: Canadian Institutes of Health Research (CIHR) Catalyst Grant: Pilot Projects in Aging Total Funding - 50,000 Portion of Funding Received - 0 Funding Competitive?: Yes Principal Investigator : MIHAILIDIS, ALEX 2011/5 - 2012/4 Catalyst Grant: Pilot Projects in Aging, Grant Co-investigator Funding Sources: Canadian Institutes of Health Research (CIHR) Catalyst Grant: Pilot Projects in Aging - Social Dimensions of Aging Total Funding - 50,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes Principal Applicant : Mihailidis, A 2009/5 - 2012/4 Robotics for Stroke Rehabilitation, Grant Collaborator Funding Sources: Canadian Institutes of Health Research (CIHR) Total Funding - 316,000 Portion of Funding Received - 0 Funding Competitive?: Yes Co-investigator : Boutilier, C; Mcllroy, W; Principal Applicant : Mihailidis, A 2009/1 - 2011/12 Towards a pervasive prompting system: improving and expanding the COACH, Grant Co-investigator Funding Sources: Alzheimer's Association (The) Everyday Technologies for Alzheimer's Care Total Funding - 196,324 Portion of Funding Received - 196,324 Funding Competitive?: Yes Co-investigator : Boutilier, C; Cameron, J; Fernie, G; Naglie, G; Principal Investigator : MIHAILIDIS, ALEX

83 Dr. Jesse Hoey 2011/5 - 2011/12 Context-Dependent Value of Information and Cost-Sensitive Learning for Situational Principal Applicant Awareness on Smart Phones, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Engage Grant Total Funding - 25,000 Portion of Funding Received - 25,000 Funding Competitive?: Yes 2009/8 - 2011/7 DyNaMo -Dynamic Probabilistic Graphical Models and their Applications, Grant Principal Applicant Funding Sources: Consejo Nacional de Ciencia y Tecnologia (CONACYT) (Mexico) FONCYCIT Total Funding - 1,160,000 Portion of Funding Received - 167,366 Funding Competitive?: Yes Co-investigator : Sucar, E 2009/6 - 2011/5 Towards the development of a pervasive prompting system for older adults with dementia, Collaborator Grant Funding Sources: Canadian Institutes of Health Research (CIHR) Operating Grant Total Funding - 312,000 Portion of Funding Received - 0 Funding Competitive?: Yes Co-investigator : boutilier, C; Cameron, J; Fernie, G; Naglie, G; Principal Applicant : mihailidis, A 2009/6 - 2011/5 The application of the COACH prompting system to nutrition among older adults, Grant Collaborator Funding Sources: Canadian Institutes of Health Research (CIHR) Supplemental Funding Program Total Funding - 222,000 Portion of Funding Received - 0 Funding Competitive?: Yes Co-investigator : Rochon, E; Principal Applicant : Mihailidis, A

Student/Postdoctoral Supervision

Bachelor’s [n=2] 2017/5 - 2017/8 Jacob, Shilpa, University of Guelph Principal Supervisor Thesis/Project Title: DIY-Smart-Home project Present Position: Research Assistant

84 Dr. Jesse Hoey 2016/9 - 2017/12 Varma, Sunjay, University of Waterloo Principal Supervisor Thesis/Project Title: ALBATROSS Present Position: Student Bachelor’s Honours [n=9] 2014/1 - 2014/4 Yu, Celia (Completed) , University of Principal Supervisor Waterloo Thesis/Project Title: BayesACT Research Present Position: Undergraduate Research Assistant 2014/1 - 2014/4 Vaartjes, Aaron (Completed) , University of Principal Supervisor Waterloo Thesis/Project Title: BayesACT Research Present Position: Undergraduate co-op student 2014/1 - 2014/4 Zeng, Howard (Completed) , University of Principal Supervisor Waterloo Thesis/Project Title: BayesACT Research Present Position: Undergraduate co-op student 2014/1 - 2014/4 Muhammad, Ahmad (Completed) , University of Principal Supervisor Waterloo Thesis/Project Title: BayesACT Research Present Position: Undergraduate Research Assistant 2014/1 - 2014/4 Hussein, Ali (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: BayesACT Research Present Position: Undergraduate Research Assistant 2014/1 - 2014/4 Ramakrishna, Rohan (Completed) , University of Principal Supervisor Waterloo Thesis/Project Title: BayesACT Research Present Position: Undergraduate Research Assistant 2012/1 - 2012/9 Yang, Xiao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Mobile Phone Applications for Alzheimer's Disease Present Position: software development engineer (Amazon.com) 2012/1 - 2012/5 Yang, Yuzan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: POMDP Solvers for Mobile Phone Applications Present Position: Undergraduate student 2011/4 - 2011/8 Lam, Kelvin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: COACH Handwashing System with Kinect Present Position: software development engineer (Amazon.com) Master’s Thesis [n=14] 2017/9 - 2019/8 Iyer, Rahul (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/8 Thesis/Project Title: THEMIS.COG project Present Position: Master's student

85 Dr. Jesse Hoey 2017/9 - 2019/8 Shaw, Nolan (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/8 Thesis/Project Title: N/A Present Position: Master's Student 2016/5 - 2018/4 Choi, David (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/5 Thesis/Project Title: ACT/BayesACT Present Position: Master's Student 2015/9 - 2017/8 Wang, Dan (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Hierarchical Task Recognition and Planning in Smart Homes with Partial Observability Present Position: Software developer (Waterloo) 2015/9 - 2017/8 Rishi, Deepak (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/5 Thesis/Project Title: DIY-AIDE Present Position: Master's Student 2015/9 - 2017/8 Shang, Zhengkun (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/5 Thesis/Project Title: Continuous Affect Prediction fromDifferent Features and ModelingApproaches in Evaluation-Potency-Activity Space Present Position: Software Engineer, Amazon 2014/9 - 2016/8 Zhen, Haiyu (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: ACT@HOME Present Position: Masters (Coursework), University of Waterloo

2014/9 - 2016/8 Jung, Josh (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2016/9 Thesis/Project Title: Emergence of social network structures from micro-level interactions with BayesACT Present Position: PhD student 2014/1 - 2019/12 Cheng, Pan-Pan (Joshua) (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: Emotional Awareness for Chatbots Present Position: PhD student 2012/9 - 2015/10 Lin, Luyuan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Emotionally Aware COACH Handwashing System Present Position: Master's Student 2012/9 - 2015/10 Yang, Xiao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Quick and Automatic Selection of POMDP Implementations on Mobile Platform Based on Battery Consumption Estimation Present Position: Software engineer (Amazon.com) 2011/4 - 2012/12 Koltunova, Veronika (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Active Sensing for Partially Observable Markov Decision Processes Present Position: software engineer (Cisco Systems)

86 Dr. Jesse Hoey 2011/1 - 2012/12 Zhu, George (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Real-time elective admissions planning for health care providers Present Position: Software engineer (Veeva Systems) 2010/9 - 2012/8 Pyryeskin, Dmitry (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Investigating Selection Above a Multitouch Surface Present Position: Senior Software Developer at Techna Research Institute

Doctorate [n=2] 2012/5 - 2017/9 Alhothali, Areej (All But Degree) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/9 Thesis/Project Title: Sentiment Analysis Using Affect Control Theory Present Position: PhD student 2010/9 - 2016/1 Shehroz, Khan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Classification and Decision-Theoretic Framework for Detecting and Reporting Unseen Falls Present Position: Postdoctoral Fellow, Toronto Rehabilitation Institute Post-doctorate [n=6] 2016/1 - 2018/12 Joshi, Jyoti (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: ACT@HOME Present Position: on personal leave 2016/1 - 2017/12 Dhall, Abhinav (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: AGEWELL Present Position: Assistant Professor, Indian Institute of Technology, Ropar 2015/11 - 2016/10 Alexandra Konig (Completed) , Maastricht University Principal Supervisor Thesis/Project Title: The use of Information and communication technologies (ICT) for the assessment of patients with Alzheimer's disease and related disorders Present Position: Research Fellow, INRIA, France 2012/1 - 2012/12 Karg, Michelle (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Analysis of Human Motions during Stroke Recovery Present Position: Postdoctoral Research Assistant 2011/9 - 2012/8 Goetschalckx, Robby (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: DyNaMo project Present Position: Postdoctoral Research Assistant 2010/5 - 2014/12 Grzes, Marek (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: American Alzheimer’s Assoc. Project and ETAC Creative Expression COACH projects Present Position: Assistant Professor Research Associate [n=2] 2016/5 - 2017/12 Li, Wenkai, University of Waterloo Principal Supervisor Thesis/Project Title: AGEWELL Present Position: Research Assistant 2014/1 - 2014/12 Asghar, Nabiha (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: BayesACT Research Present Position: PhD student

87 Dr. Jesse Hoey Event Administration 2015/5 - 2016/5 Program Chair, International Conference on Pervasive Computing Technologies for Healthcare, Conference, 2016/5 - 2016/5 2013/9 - 2013/9 Senior Program Committee member, ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference, 2013/9 - 2013/9 2012/7 - 2012/7 Senior Program Committee member, Alzheimer’s Association International Conference (AAIC), Conference, 2012/7 - 2012/7 2012/6 - 2012/6 Senior Program Committee member, International Conference on Pervasive Computing, Conference, 2012/6 - 2012/6 2011/8 - 2011/9 Program Chair, British Machine Vision Conference (BMVC), Conference, 2011/8 - 2011/9 2011/7 - 2011/7 Senior Program Committee member, International Joint Conferences on Artificial Intelligence (IJCAI), Conference, 2011/7 - 2011/7

Editorial Activities 2015/5 - 2016/5 Editor, Proceedings of 2016 International Conference on Pervasive Computing Technologies for Healthcare, Book 2011/10 - 2012/10 Editor, Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions, Book Chapter 2011/8 - 2011/9 Editor, Proceedings of the British Machine Vision Conference 2011, Book 2011/4 - 2011/4 Editor, Activity Recognition in Pervasive Intelligent Environments Book Series: Atlantis Ambient and Pervasive Intelligence, Book Chapter

Committee Memberships 2017/7 - 2019/7 Committee Member, Technology Professional Interest Area (TPIA), Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment ISTAART Immediate Past Chair 2016/9 - 2017/8 Chair, NSERC Scholarships and Fellowships Committee for Computing Sciences, Natural Sciences and Engineering Research Council of Canada (NSERC) 2015/8 - 2017/7 Chair, Technology Professional Interest Area (TPIA), Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment ISTAART 2013/9 - 2016/8 Committee Member, NSERC Scholarships and Fellowships Committee for Computing Sciences, Natural Sciences and Engineering Research Council of Canada (NSERC) 2013/9 - 2015/8 Co-chair, Technology Professional Interest Area, Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment ISTAART 2013/7 - 2014/6 Chair, Graduate Recruitment Committee, University of Waterloo 2012/9 - 2013/8 Co-chair, Technology Professional Interest Area, Alzheimer’s Association International Society to Advance Alzheimer’s Research and Treatment ISTAART 2011/7 - 2013/6 Committee Member, Graduate Recruitment Committee, University of Waterloo 2010/7 - 2011/6 Committee Member, School Advisory Committee on Appointments, University of Waterloo

88 Dr. Jesse Hoey Presentations 1. (2017). Smarter Smart Homes with Social and Emotional Intelligence. 4th international Workshop on Sensor-based Activity Recognition and Interaction (iWOAR), Rostock, Germany Invited?: Yes, Keynote?: Yes 2. (2017). Introduction to Bayesian Affect Control Theory. Dartmouth ACT Conference on Modeling Social Interactions: New Directions in Affect Control Theory, Hanover, NH, United States Invited?: Yes, Keynote?: Yes 3. (2015). Affective Reasoning and Cognitive Assistive Technologies. IEEE Conference on Pervasive Healthcare Workshop on Adaptive Treatments and Therapies, Istanbul, Turkey Main Audience: Researcher Invited?: Yes, Keynote?: Yes 4. (2015). Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory. Conference of the International Society for Research on Emotions (ISRE), Geneva, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2015). Cognitive Assistive Technologies with Affective Intelligence. EAI International Conference on Smart Wearable Devices and IoT for Health and Wellbeing Applications, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 6. (2015). Socio-Emotional Alignment for Cognitive Assistive Technologies. NIH / Smart Environment Research Center (SERC) Distinguished Speaker Series on Health-Assistive Smart Environments, Pullman, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2014). General-purpose assistance in health and education. 8th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2014) & 6th International Work-conference on Ambient Assisted Living (IWAAL 2014), Belfast, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: Yes 8. (2014). General-Purpose Cognitive Assistive Technologies: Progress and Challenges. Conference on Computer and Robot Vision, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2013). Artificial Intelligence for Cognitive Assistive Technologies. IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan Main Audience: Researcher Invited?: Yes, Keynote?: Yes 10. (2013). ePAD: A Tool for Art Therapists working with persons with dementia.Alzheimers Association International Conference, Boston, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No

Dr. Jesse Hoey Publications

Journal Articles

1. Khan S*, Karg M E*, Kulic D, Hoey J. (2017). Detecting Falls with X-Factor Hidden Markov Models. Applied Soft Computing. In Press Refereed?: Yes 2. Khan S*, Hoey J. (2017). Review of fall detection techniques: A data availability perspective. Medical Engineering and Physics. 39 Published Refereed?: Yes 3. Konig A*, Francis L E, Joshi J*, Robillard J M, Hoey J. (2017). Qualitative study of affective identities in dementia patients for the design of cognitive assistive technologies.Journal of Rehabilitation and Assistive Technologies Engineering,. Published Refereed?: Yes 4. Teipel S, Babiloni C, Hoey J, Kaye J, Kirste T, Burmeister O K. (2016). Information and communication technology solutions for outdoor navigation in mild dementia: from safety to support of social activity. Alzheimer's and Demetia. 12(6) Published Refereed?: Yes 5. Hoey J, Schroeder T, Alhothali A*. (2016). Affect Control Processes: Intelligent Affective Interaction using a Partially Observable Markov Decision Process. Artificial Intelligence Journal. 230: 134-172. Published Refereed?: Yes, Open Access?: No 6. Schroeder T, Hoey J, Rogers KB. (2016). Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory. American Sociological Review. 81(4): 828-855. Published Refereed?: Yes 7. Grzes M*, Poupart P, Yang X*, Hoey J. (2015). Energy Efficient Execution of POMDP Policies. IEEE Transactions on Cybernetics. 45(11): 2484-2497. Published Refereed?: Yes 8. McKenna S, Hoey J, Trucco E. (2014). Objects, Actions, Places. International Journal of Computer Vision. 106(3) Published Refereed?: No 9. Grzes M*, Hoey J, Khan S*, Mihailidis A, Czarnuch S*, Jackson D*, Monk A. (2014). Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model. International Journal of Approximate Reasoning. 55(1): 36-58. Published Refereed?: Yes 10. Peters C*, Hermann T, Wachsmuth S, Hoey J. (2014). Automatic task assistance for people with cognitive disabilities in brushing teeth- a user study with the TEBRA system. IEEE Transactions on Accessible Computing. In Press

90 Dr. Jesse Hoey Refereed?: Yes, Open Access?: No 11. Karg M*, Venture G , Hoey J , Kulic D. (2014). Human Movement Analysis as a Measure for Fatigue: A Hidden Markov-Based Approach.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 22(3): 470-481. Published Refereed?: Yes 12. Zhu G*, Lizotte D, Hoey J, et al. (2014). Scalable Approximate Policies for Markov Decision Process Models of Hospital Elective Admissions. Artificial Intelligence in Medicine. 61(1): 21-34. Published Refereed?: Yes, Open Access?: No 13. Tung J*, Snyder H, Hoey J, Mihailidis A, Carrillo M, Favela J. (2013). Everyday Patient-Care Technologies for Alzheimer’s Disease. Pervasive Computing. 12(4) Published Refereed?: No 14. Karg M*, Samadani A*, Gorbet R, Kuhnlenz K , Hoey J, Kulic D. (2013). Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation. IEEE Transactions on Affective Computing. 4(4): 341-359. Published Refereed?: Yes, Open Access?: No 15. Leuty V*, Boger J*, Young L, Hoey J, Mihailidis A. (2012). Engaging Older Adults with Dementia in Creative Occupations Using Artificially Intelligent Assistive Technology. Assistive Technology. 25(2): 72-79. Published Refereed?: Yes, Open Access?: No 16. Hoey J, Boutilier C, Poupart P, Olivier P, Monk A, Mihailidis A, et al. (2012). People, Sensors, Decisions: Customizable and Adaptive Technologies for Assistance in Healthcare. ACM Transactions on Interactive Intelligent Systems Special issue on Highlights of the Decade. 2(4) Published Refereed?: Yes, Open Access?: No 17. Chen L, Hoey J, Nugent C, Cook D, Yu Z, et al. (2012). Sensor-Based Activity Recognition. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews. Published Refereed?: Yes, Open Access?: No 18. Huq R*, Kan P*, Goetschalckx R*, Hébert D , Hoey J , Mihailidis A. (2011). A decision-theoretic approach in the design of an adaptive upper-limb stroke rehabilitation robot.IEEE International Conference on Rehabilitation Robotics. 2011 Published Refereed?: Yes 19. Kan P*, Huq R*, Hoey J, Goetschalckx R*, Mihailidis A. (2011). The development of an adaptive upper-limb stroke rehabilitation robotic system. Journal of NeuroEngineering and Rehabilitation. 8(33) Published Refereed?: Yes, Open Access?: No 20. Hoey J, Ploetz T*, Jackson D*, Monk A, Pham C*, Olivier P. (2011). Rapid specification and automated generation of prompting systems to assist people with dementia. Pervasive and Mobile Computing. 7(3) Published Refereed?: Yes, Open Access?: No

91 Dr. Jesse Hoey Books

1. Mihailidis A, Boger J*, Hoey J, Jiancaro T*. (2011). Zero Effort Technologies: Considerations, Challenges, and Use in Health, Wellness, and Rehabilitation. Published, Morgan and Claypool Refereed?: Yes

Book Chapters

1. Mihailidis, A, Boger, J*, Czarnuch, S*, Nagdee, T*, and Hoey, J. (2012). Ambient Assisted Living Technology to Support Older Adults with Dementia with Activities of Daily Living: Key Concepts and the State of the Art.Augusto J, Huch M, Kameas A, Maitland J, McCullagh P, Roberts J, Sixsmith A, Wichert R. Handbook of Ambient Assisted Living. (11): 304-330. Published, IOS Press Refereed?: Yes 2. Newell A, Carmichael A, Gregor P, Alm N, Waller A, Hanson V, Pullin G, Hoey J. (2012). Information Technology for Communication and Cognitive Support. Jacko J. Human- Computer Interaction Handbook. 3rd: 859-887. Published, Taylor & Francis Refereed?: Yes 3. Hoey J, Poupart P, Boutilier C, Mihailidis A. (2011). POMDP models for Assistive Technology. Sucar E, Morales E, Hoey J. Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions.: 294-314. Published, IGI Global Refereed?: Yes

Conference Publications

1. Malhotra A*, Hoey J, Konig A*, van Vuuren S. (2106). A study of elderly people's emotional understanding of prompts given by Virtual Humans. International Conference on Pervasive Computing Technologies for Healthcare, Mexico Conference Date: 2016/5 Paper Accepted Refereed?: Yes, Invited?: No 2. Khan S*, Hoey J. (2106). dtFall – Decision Theoretic Framework to Report Unseen Falls. International Conference on Pervasive Computing Technologies for Healthcare, Cancun, Mexico Conference Date: 2016/5 Paper Accepted Refereed?: Yes, Invited?: No 3. Wang D*, Hoey J. (2017). Hierarchical Task Recognition and Planning in Smart Homes with Partial Observability.Proc. 11th International Conference on Ubiquitous Computing and Ambient #Intelligence, Philadelphia, United States Conference Date: 2017/11 Paper Published Refereed?: Yes, Invited?: No 92 Dr. Jesse Hoey 4. Khan W*, Hoey J. (2017). How Different Identities Affect Cooperation. Proc.of the Humaine Association Conference on Affective Computing and Intelligent Interaction, San Antonio, United States Conference Date: 2017/10 Paper Published Refereed?: Yes, Invited?: No 5. Shang Z*, Joshi J*, Hoey J. (2017). Continuous Facial Expression Recognition for Affective Interaction with Virtual Avatar. IEEE International Conference on Image Processing, Beijing, China Conference Date: 2017/10 Paper Published Refereed?: Yes, Invited?: No 6. Asghar N*, Hoey J. (2015). Intelligent Affect: Rational Decision Making for Socially Aligned Agents. Uncertainty in Artificial Intelligence (UAI), Amsterdam, Netherlands Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 7. Shroeder T, Hoey J, Rogers KB. (2015). Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory.International Conference on Computational Social Science, Helsinki, Finland Conference Date: 2015/6 Abstract Published Refereed?: Yes, Invited?: No 8. Alhothali A, Hoey J. (2015). Good News or Bad News: Using Affect Control Theory to Analyze Readers Reaction Towards News Articles. Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL HLT), Denver, United States Conference Date: 2015/5 Paper Published Refereed?: Yes, Invited?: No 9. Hoey J, Schroeder T. (2015). Bayesian Affect Control Theory of Self. AAAI Conference on Artificial Intelligence, Austin, United States Conference Date: 2015/1 Paper Published Refereed?: Yes, Invited?: No 10. Malhotra A*, Yu L*, Schroeder T, Hoey J. (2015). An exploratory study into the use of an emotionally aware cognitive assistant.AAAI Workshop on artificial intelligence applied to assistive technologies and smart environments, Austin, United States Conference Date: 2015/1 Paper Published Refereed?: Yes, Invited?: No

93 Dr. Jesse Hoey 11. Khan S*, Karg M.E*, Kulic D, Hoey J. (2014). X-Factor HMMs for detecting falls in the absence of fallspecific training data.International Workconference on Ambient Assisted Living (IWAAL), Belfast, United Kingdom Conference Date: 2014/12 Paper Published Refereed?: Yes, Invited?: No 12. Lin L*, Czarnuch S*, Malhotra A*, Yu L*, Shroeder T, Hoey J. (2014). Affectively Aligned Cognitive Assistance using Bayesian Affect Control Theory.International Workconference on Ambient Assisted Living (IWAAL), Belfast, United Kingdom Conference Date: 2014/12 Paper Published Refereed?: Yes, Invited?: No 13. Schroeder T, Hoey J. (2014). Modeling Dynamic Identities and Uncertainty in Social Interactions: Bayesian Affect Control Theory. Computational Social Science Winter Symposium, Germany Conference Date: 2014/11 Abstract Published Refereed?: Yes, Invited?: No 14. Grzes M, Poupart P, Hoey J. (2013). Controller Compilation and Compression for Resource Constrained Applications. Proc. 3rd International Conference on Algorithmic Decision Theory, Brussels, Belgium Conference Date: 2013/11 Paper Published Refereed?: Yes, Invited?: No 15. Karg M*, Seiberl W, Hoey J, Kulic D. (2013). Human Movement Analysis: Extension of the F-Statistic to Time Series using HMM. Proc. International Conference on Systems, Man, and Cybernetics, Manchester, United Kingdom Conference Date: 2013/10 Paper Published Refereed?: Yes, Invited?: No 16. Hoey J, Schroeder T, Alhothali A*. (2013). Bayesian Affect Control Theory. Proc.of the Humaine Association Conference on Affective Computing and Intelligent Interaction, Geneva, Switzerland Conference Date: 2013/9 Paper Published Refereed?: Yes, Invited?: No 17. Grzes M*, Hoey J. (2013). On the Convergence of Techniques that Improve Value Iteration. Proceedings of International Joint Conference on Neural Networks (IJCNN), Dallas, United States Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: No

94 Dr. Jesse Hoey 18. Grzes M*, Poupart P, Hoey J. (2013). Isomorph-free Branch and Bound Search for Finite State Controllers. Proceedings of International Joint Conference on Artificial Intelligence, Beijing, China Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: No 19. Hwang A*, Liu M*, Hoey J, Mihailidis A. (2013). DIY Smart Home: Narrowing the Gap Between Users and Technology. Proc. of the IUI Workshop on Interactive Machine Learning, Santa Monica, United States Conference Date: 2013/3 Paper Published Refereed?: Yes, Invited?: No 20. Hoey J, Yang X*, Quintana E*, Favela J. (2012). Location And Context-Aware Safety Assistant. Proc. International Conference on Pervasive Computing Technologies for Health- care, San Diego, United States Conference Date: 2013/5 Paper Published Refereed?: Yes, Invited?: No 21. Hoey J, Yang X*, Grzes M*, Navarro R*, Favela J. (2012). Modeling and Learning for LaCasa, the Location And Context-Aware Safety Assistant. NIPS 2012 Workshop on Machine Learning Approaches to Mobile Context Awareness, Lake Tahoe, United States Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 22. Pyryeskin D*, Hancock M, Hoey J. (2012). Comparing elicited gestures to designer-created gestures for selection above a multitouch surface. In ACM International Conference on Interactive Tabletops and Surfaces (ITS), Boston, United States Conference Date: 2012/11 Paper Published Refereed?: Yes, Invited?: No 23. Rodriguez M, Navarro R*, Favela J, Hoey J. (2012). An Ontological Representation Model to Tailor Ambient Assisted Interventions for Wandering. AAAI Fall Symposium on AI for Gerontechnology, Arlington, United States Conference Date: 2012/11 Paper Published Refereed?: Yes, Invited?: No 24. Hwang A*, Hoey J. (2012). Smart Home, The Next Generation: Closing the Gap between Users and Technology. AAAI Fall Symposium on AI for Gerontechnology, Washington, United States Conference Date: 2012/11 Paper Published Refereed?: Yes, Invited?: No

95 Dr. Jesse Hoey 25. Hosseini H*, Hoey J, Cohen R. (2012). A Market-based Coordination Mechanism for Resource Planning Under Uncertainty. AAAI 2012 Student Poster Session, Palo Alto, United States Conference Date: 2012/10 Poster Published Refereed?: Yes, Invited?: No 26. Grzes M*, Hoey J. (2012). Analysis of Methods for Solving MDPs. Proc. 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Valencia, Spain Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: No 27. Hoey J, Yang X*, Favela J. (2012). Decision theoretic, context aware safety assistance for persons who wander. 6th International Workshop on Ubiquitous Health and Wellness (UbiHealth) at Pervasive, Newcastle upon Tyne, United Kingdom Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: No 28. Khan S*, Hoey J, Lizotte D. (2012). Multiple Imputation Approaches for One- Class Classification. Proceedings of the 25th Canadian Conference on AI, 7310, Toronto, Canada Conference Date: 2012/5 Paper Published Refereed?: Yes, Invited?: No 29. Hoey J, Yang X*, Quintana E*, Favela J. (2012). LaCasa: Location and Context-Aware Safety Assistant. Proc. of 6th International Conference on Pervasive Computing Technologies for Healthcare, San Diego, United States Conference Date: 2012/5 Paper Published Refereed?: Yes, Invited?: No 30. Khan S*, Karg M*, Hoey J, Kulic D. (2012). Towards the detection of unusual temporal events during activities using HMMs. Proceedings of Ubicomp 2012 (Situation, Activity and Goal Awareness Workshop), Pittsburgh, United States Conference Date: 2012/4 Paper Published Refereed?: Yes, Invited?: No 31. Grzes M*, Hoey J. (2011). Efficient Planning in RMAX. Proceedings of Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Tappie, Taiwan, Province of China Conference Date: 2014/5 Paper Published Refereed?: Yes, Invited?: No

96 Dr. Jesse Hoey 32. Hosseini H*, Hoey J, Cohen R. (2011). Healthcare Resource Scheduling using a Multiagent Markov Decision Process Approach. 6th INFORMS Workshop on Data Mining and Health Informatics, Charlotte, United States Conference Date: 2011/11 Paper Published Refereed?: Yes, Invited?: No 33. Pyryeskin D*, Hoey J, Hancock M. (2011). Extending Interactions into Hoverspace Using Reflected Light. ACM International Conference on Interactive Tabletops and Surfaces Conference, Kobe, Japan Conference Date: 2011/11 Poster Published Refereed?: Yes, Invited?: No 34. Koltunova V*, Hoey J, Grzes M*. (2011). Goal-oriented sensor selection for intelligent phones: (GOSSIP). of the 2011 international workshop on situation activity and goal awareness, Beijing, China Conference Date: 2011/9 Paper Published Refereed?: No, Invited?: Yes 35. Goetschalckx R*, Hoey J, Poupart P. (2011). Continuous Correlated Beta Processes. Proceedings of 22nd International Joint Conferences on Artificial Intelligence (IJCAI). Proc. of 22nd International Joint Conferences on Artificial Intelligence (IJCAI), Barcelona, Spain Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: No 36. Hu R*, Fakih A*, Hartfiel A*, Tung J*, Hoey J, Poupart P. (2011). 3D Pose Tracking of Walker Users’ Lower Limb with a Structured-Light Camera on a Moving Platform. International Workshop on Human Activity Understanding from 3D Data (HAU3D), Colorado Springs, United States Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: No 37. Leuty V*, Hoey J, Young L, Boger J*, Mihailidis A. (2011). Engaging older adults with dementia in creative occupations using technology. Canadian Association of Occupational Therapists Conference, Saskatoon, Canada Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: No 38. Hoey J, Grzes M*. (2011). Distributed Control of Situated Assistance in Large Domains with Many Tasks. Proceedings of the 21st International Conference on Automated Planning and Scheduling (ICAPS’11), Freiburg, Germany Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: No 97

Dr. Jesse Hoey Intellectual Property

Patents

1. Method, System And Apparatus For Configuring A Chatbot. United States. 15/103579. Patent Status: Pending

98 Dr. Jan Marius Hofert Department of Statistics and Actuarial Science

Language Skill

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes No Yes No German Yes Yes Yes Yes Yes

Degrees - 2010/2 Doctorate, Mathematics, University of Ulm - 2006/4 Diploma, Mathematics and Management, University of Ulm - 2005/5 Master's Thesis, Mathematics, Syracuse University - 2003/3 Bachelor's Equivalent, Mathematics and Management, Ulm University

Recognitions 2015/5 - 2015/5 Best paper award R/Finance 2015 R/Finance Prize / Award Best paper award 2014/3 - 2014/3 Gabriel Doyon ETH Zurich Prize / Award Gabriel Doyon (who wrote his thesis under my supervision) was awarded with the Walter Saxer Versicherungs-Hochschulpreis 2013 honoring excellent scientific work in insurance mathematics and related fields.

User Profile

Research Specialization Keywords: High-dimensional copulas, Hierarchical copulas, Random numbers, estimation, goodness-of-fit, Computational challenges in dependence modeling, Extreme value copulas, Dependence modeling in time, Dependence modeling including covariates, Development of R packages, Parallel computing in R, Graphical tools in statistics, Quantitative risk management, Finance

Employment 2014/7 Assistant Professor Statistics and Actuarial Science, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track

99 Dr. Jan Hofert 2014/3 - 2014/6 Visiting Professor Applied Mathematics, University of Washington Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track 2013/10 - 2014/3 Guest Professorship W2 (TUM Agenda Lehre Program) Mathematics, Technische Universitaet Muenchen Full-time, Term, Associate Professor Tenure Status: Non Tenure Track 2009/10 - 2013/9 Postdoctoral Research Fellowship Mathematics, ETH Zurich Full-time Tenure Status: Non Tenure Track Willis Research Fellow

Research Funding History

Awarded [n=1] 2015/4 - 2020/3 Discovery Grant, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 95,000 Portion of Funding Received - 19,000 Funding Competitive?: Yes

Completed [n=1] 2009/10 - 2013/9 Willis Research Fellowship, Fellowship Principal Applicant Funding Sources: Willis Re Willis Research Fellowship Total Funding - 512,000 Portion of Funding Received - 400,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s [n=2] 2013/12 - 2014/4 Jovana Mitrovic (Completed), University of Cambridge Principal Supervisor Thesis/Project Title: A Survey of Copulas in Machine Learning Present Position: PhD student, University of Cambridge 2012/7 - 2012/11 Claude Renault (Completed), ETH Zurich Principal Supervisor Thesis/Project Title: Bayesian Estimation of selected Copula Models Present Position: PhD Student

Bachelor’s Equivalent [n=1] 2011/9 - 2012/1 Flavio Wicki (Completed) , ETH Zurich Principal Supervisor Thesis/Project Title: Estimation of Copula Parameters from Pseudo-Observations 100 Dr. Jan Hofert Present Position: Unknown

Master’s Thesis [n=3] 2012/10 - 2013/4 Gabriel Doyon (Completed) , ETH Zurich Principal Supervisor Thesis/Project Title: On Densities of Extreme Value Copulas (awarded with the Walter Saxer Versicherungs-Hochschulpreis 2013; joint publication in progress) Present Position: KPMG 2012/8 - 2013/2 Evgeny Vakhrushev (Completed) , ETH Zurich Principal Supervisor Thesis/Project Title: On the Theory of Semiparametric Estimators in Copula Models Present Position: Unknown 2011/10 - 2012/4 David Pham (Completed) , ETH Zurich Principal Supervisor Thesis/Project Title: Densities of nested Archimedean copulas (joint publication) Present Position: Swiss National Bank

Doctorate [n=3] 2017/9 - 2023/5 Takaaki Koike (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: On Computational Risk Management in Finance and Insurance Present Position: Student 2017/9 - 2023/5 Erik Hintz (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: On Quasi-Monte Carlo Methods Present Position: Student 2016/5 - 2022/1 Avinash Prasad (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: On Machine Learning and Copulas Present Position: Student

Editorial Activities 2017/9 - 2027/1 Associate Editor, Journal of Multivariate Analysis, Journal 2017/1 - 2027/1 Associate Editor, Journal of Computational and Graphical Statistics, Journal 2010/5 - 2015/7 Reviewer, Biometrika, Annals of Applied Statistics, Journal of Banking and Finance, Journal of Multivariate Analysis, Statistics and Computing, Computational Statistics & Data Analysis, Quantitative Finance etc, Journal

Other Memberships 2014/10 - 2015/10 Member, Waterloo Research Institute in Insurance, Securities and Quantitative Finance

Presentations 1. (2018). Zigzag Expanded Navigation Plots in R: The R Package Zenplots. HEC Lausanne, University of Lausanne, Lausanne, Switzerland Invited?: Yes, Keynote?: No 2. (2017). Visualizing High-Dimensional Data: Zenplots and Zenpaths. Talks in Financial and Insurance Mathematics ETH Zurich, Zurich, Switzerland Invited?: Yes, Keynote?: No 3. (2017). Zigzag Expanded Navigation Plots in R: The R Package Zenplots;. CREAR Working Group on Risk; ESSEC Business School, Clergy-Pontoise, France Invited?: Yes, Keynote?: No

101 Dr. Jan Hofert 4. (2017). Computational Challenges in Risk Aggregation. Research School of Finance, Actuarial Studies & Statistics, Australian National University, Canberra, Australia Invited?: Yes, Keynote?: No 5. (2017). Visualizing High-Dimensional Data: Zenplots and Zenpaths. Risk Measurement and Regulatory Issues in Business; Centre de Recherches Mathématiques, Montreal, Canada Invited?: Yes, Keynote?: No 6. (2017). Visualizing High-Dimensional Data: Zenplots and Zenpaths. Institute of Mathematical Statistics and Actuarial Science, University of Bern, Bern, Switzerland Invited?: Yes, Keynote?: No 7. (2017). Aspects of Copula Modeling in R: Selected examples from computational Risk Management; Dependence Modeling Tools for Risk Management. Centre de Recherches Mathématiques, Montreal, Canada Invited?: Yes, Keynote?: No 8. (2016). Improved Algorithms for Computing Worst VaR: Numerical Challenges and the ARA. Risk Management Institute, National University of Singapore, Singapore Invited?: Yes, Keynote?: No 9. (2016). Improved Algorithms for Computing Worst VaR: Numerical Challenges and the ARA. Quantock Lab, University Laval, Laval, Canada Invited?: Yes, Keynote?: No 10. (2015). Parallel and other simulations in R made easy: An end-to-end study.Research Seminar. R/Finance 2015, University of Illinois, Illinois, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2015). Construction and sampling of Archimedean and nested Archimedean Levy copulas; Copulae: On the Crossroads of Mathematics, Economics and Computer Science.Research Seminar. Mathematisches Forschungsinstitut Oberwolfach, Oberwolfach, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2015). Parallel and other simulations in R made easy: An end-to-end study.Computational Mathematics Colloquium, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2015). An extreme value approach for modeling Operational Risk losses depending on covariate.Research Seminar. Extreme Value Analysis, Michigan, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2015). Parallel and other simulations in R made easy: An end-to-end study.6th International Conference of the ERCIM Working Group on Computing and Statistics, University of London, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2015). Improved algorithms for computing worst VaR: numerical challenges and the ARA.Research Seminar. Institute for Statistics and Mathematics, Vienna University of Economics and Business., Vienna, Austria Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2015). Improved algorithms for computing worst VaR: Numerical challenges and the ARA. The Mathematics and Statistics of Quantitative Risk Management.Research Seminar. Mathematisches Forschungsinstitut Oberwolfach, Oberwolfach, Germany 102 Dr. Jan Hofert Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2015). Parallel and other simulations in R made easy: An end-to-end study.Computational Mathematics Colloquium, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 18. (2014). Nested Archimedean copulas: computational challenges in finance and statistics. Research seminar; Department of Mathematics, National University of Singapore, Singapore, Singapore Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). The Art of Copula Modeling. Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 20. (2014). An extreme value approach for modeling operational risk losses depending on covariates.Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 21. (2014). An extreme value approach for modeling operational risk losses depending on covariates. Research seminar; Institute for Statistics and Mathematics, Vienna University of Economics and Business, Vienna, Austria Main Audience: Researcher Invited?: Yes, Keynote?: No 22. (2014). Sibuya copulas; high-dimensional copulas: theory, modeling, and applications. Research Seminar; Central University of Finance and Economics, Beijing, China Main Audience: Researcher Invited?: Yes, Keynote?: No 23. (2013). Nested Archimedean copulas: statistical and computational challenges. Research Seminar; Institute of Mathematics, University of Zurich, Zurich, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 24. (2013). Dependence models in high dimensions: Statistical and computational challenges. Conference on Copulas and Dependence: Theory and Applications; Statistics Department, Columbia University, New York City, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2013). Laudatio in honor of Gabriel Doyon. Research Seminar; Department of Mathematics, Eidgenossische Technische Hochschule, Zurich, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 26. (2013). Modeling dependence in high dimensions: Statistical and computational challenges. Institut de Mathématiques d'Analyse et Applications; Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 103 Dr. Jan Hofert 27. (2013). Computational challenges in copula modeling. Workshop Copula modeling: New challenges and techniques, Technische Universitaet Muenchen, Munich, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 28. (2013). Statistical and computational aspects of nested Archimedean copulas and beyond. Research seminar; Institute for Statistics and Mathematics, Vienna University of Economics and Business, Vienna, Austria Main Audience: Researcher Invited?: Yes, Keynote?: No 29. (2013). Computational statistics in copula modeling: why and how. 6th International Conference of the ERCIM Working Group on Computing and Statistics, University of London, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 30. (2013). Statistical methods and tools for QRM: My past, present and future. Department of Statistical Science, University College London, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 31. (2013). Computational challenges in high-dimensional dependence models. Research Seminar; Laboratoire de Mathématiques et de leurs Applications, Universite de Pau et des Pays de l'Adour, Pau, France Main Audience: Researcher Invited?: Yes, Keynote?: No 32. (2013). Nested Archimedean copulas: Statistical and computational challenges. Research Seminar; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 33. (2013). Computational aspects of quantitative risk management. Risk Day; ETH Zurich, Zurich, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 34. (2013). An extreme value approach for modeling operational risk losses depending on covariates. Risk Management Reloaded, Technische Universitaet Muenchen, Munich, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 35. (2012). From start to finish: Maximum likelihood for Gumbel copulas. Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 36. (2012). From start to finish: Maximum likelihood for Gumbel copulas. Department of Statistical Science, University College London, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 37. (2012). Modeling high-dimensional dependencies: Computational challenges in finance and statistics. Department of Computer Science, University College London, London, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No

104 Dr. Jan Hofert 38. (2012). A first lecture on copulas. ISAM-Top Math Summer School on "Dependence Modeling", Technische Universitaet Muenchen, Munich, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes 39. (2012). On hierarchical copula models in high dimensions. Institute for Applied Mathematics, Heidelberg University, Heidelberg, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 40. (2012). An extreme value approach for modeling operational risk losses depending on covariates. Maxwell Institute for Mathematical Sciences, Heriot-Watt University, Edinburgh, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 41. (2012). On densities of Archimedean and nested Archimedean copulas. Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Universiteit Hasselt, Hasselt, Belgium Main Audience: Researcher Invited?: Yes, Keynote?: No 42. (2012). On nested Archimedean copulas: Construction, sampling and densities. Research Seminar; Departement de Sciences de la Decision: HEC Montreal, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Hermann K Hofert M Maillot M. (2018). Multivariate Geometric Expectiles. Scandinavian Actuarial Journal. Accepted Refereed?: Yes 2. Gorecki Jan Hofert M Holena Martin. (2017). On structure, family and parameter estimation of hierarchical Archimedean copulas. Journal of Statistical Computation and Simulation. 87(17): 3261-3324. Published Refereed?: Yes, Open Access?: Yes 3. Hofert M Memartoluie A Saunders D Wirjanto T. (2017). Improved Algorithms for Computing Worst Valueat- Risk. Statistics & Risk Modeling. 34(1-2): 13-31. Published Refereed?: Yes, Open Access?: Yes 4. Gorecki Jan Hofert M Holena Martin. (2017). Kendall's tau and agglomerative clustering for structure determination of hierarchical Archimedean copulas. Dependence Modeling. 5(1): 75-87. Published Refereed?: Yes, Open Access?: Yes 5. Hofert M Huser R *Prasad A. (2017). Hierarchical Archimax copulas. Journal of Multivariate Analysis. Submitted Refereed?: Yes 6. Gorecki Jan Hofert M Helena Martin. (2017). Hierarchical Archimedean Copulas for MATLAB: The HACopula Toolbox. Journal of Statistical Software. 105 Dr. Jan Hofert Submitted Refereed?: Yes 7. Hobert M Schepsmeier U. (2017). Guidelines for statistical projects: Coding and Typography (Part II). International Chinese Statistical Association Bulletin. 29(1): 52-58. Published Refereed?: Yes, Open Access?: Yes 8. Hofert M Oldford R W. (2017). Visualizing Dependence in High-Dimensional Data: An Application to S&P 500 Constituent Data. Econometrics and Statistics. Published Refereed?: Yes, Open Access?: Yes 9. Hofert M Oldford R W *Prasad A Zhu M. (2017). A framework for measuring dependence between random vectors. Journal of Multivariate Analysis. Submitted Refereed?: Yes 10. Hofert M Schepsmeier U. (2017). Guidelines for statistical projects: Coding and Typography (Part III). International Chinese Statistical Association Bulletin. Published Refereed?: Yes, Open Access?: Yes 11. Hofert M Maechler M. (2016). Parallel and other simulations in R made easy: An end-to-end study. Journal of Statistical Software. 69(4): 42 pages. In Press Refereed?: Yes 12. Embrechts P Hofert M Wang Ruodu. (2016). Bernoulli and Tail-Dependence Compatibility. The Annals of Applied Probability. 26(3): 1636-1658. Published Refereed?: Yes, Open Access?: Yes 13. Chavez-Demoulin V Embrechts P Hofert M. (2016). An extreme value approach for modelling operational risk losses depending on covariates. Journal of Risk and Insurance. 83(3): 735-776. Published Refereed?: Yes, Open Access?: Yes 14. [Copula Modeling] Gorecki J, Hofert M, Holena M. (2016). An approach to structure determination and estimation of hierarchical Archimedean copulas and its application in Bayesian classification. Journal of Intelligent Information Systems. 46(1): 21-59. Published Refereed?: Yes, Open Access?: Yes 15. Cambou M Hofer M Lemieux C. (2016). Quasi-random numbers for copula models. Statistics and Computing. 27(5): 1307-1329. Published Refereed?: Yes, Open Access?: Yes 16. Hofert M, Schepsmeier U. (2016). Guidelines for statistics projects: General Aspects. International Chinese Statistical Association Bulletin. 28(1) Published Refereed?: Yes 17. Hofert M Hornik K. (2016). How we R on Android. Linux Journal. 6(266): 90-121. 106

Dr. Jan Hofert Published Refereed?: Yes, Open Access?: Yes 18. [Quantitative Risk Management, Computational Statistics] Chavez-Demoulin V, Embrechts P Hofert M. (2015). An extreme value approach for modeling operational risk losses depending on covariates. Journal of Risk and Insurance. Accepted Refereed?: Yes 19. Embrechts P Hofert M Wang R. (2015). Bernoulli and tail-dependence compatibility. The Annals of Applied Probability. Accepted Refereed?: Yes 20. Hofert M Memartoluie A Saunders D Wirjanto T. (2015). Improved algorithms for computing worst value- atrisk: Numerical challenges and the adaptive rearrangement algorithm.Statistics & Risk Modeling. Submitted Refereed?: Yes, Open Access?: Yes 21. Grothe O Hofert M. (2015). Construction and sampling of Archimedean and nested Archimedean Levy copulas. Journal of Multivariate Analysis. 138(C): 182-198. Published Refereed?: Yes, Open Access?: Yes 22. Cambou M Hofert M Lemieux C. (2015). Quasi-random numbers for copula models. Statistics and Computing. Submitted Refereed?: Yes, Open Access?: Yes 23. Gorecki J Hofert M Holena M. (2015). On structure, family and parameter estimation of hierarchical Archimedean copulas.NA. Submitted Refereed?: Yes, Open Access?: Yes 24. Hofert M Hornik K. (2015). How we R on Android. The R Journal. Submitted Refereed?: No, Open Access?: Yes 25. Hofert M McNeil A J. (2015). Subadditivity of Value-at-Risk for Bernoulli random variables. Statistics & Probability Letters. 98(C): 79-88. Published Refereed?: Yes, Open Access?: Yes 26. Embrechts P Hofert M. (2014). Statistics and quantitative risk management for banking and insurance. Annual Review of Statistics and Its Application. 1: 493-514. Published Refereed?: Yes, Open Access?: Yes 27. Hofert M Maechler M. (2014). A graphical goodness-of-fit test for dependence models in higher dimensions. Journal of Computational and Graphical Statistics. 23(3): 700-716. Published Refereed?: Yes, Open Access?: Yes 28. Gorecki J Hofert M Holena M. (2014). On the consistency of an estimator for hierarchical Archimedean copulas. Mathematical Methods in Economics. 107 Dr. Jan Hofert Published Refereed?: Yes 29. Hofert M Maechler M McNeil A. (2013). Archimedean copulas in high dimensions: Estimators and numerical challenges motivated by financial applications. Journal de la Societe Francaise de Statistique. 154(1): 25-63. Published Refereed?: Yes 30. Hofert M. (2013). On sampling from the multivariate t distribution. The R Journal. 5(2): 129-136. Published Refereed?: Yes 31. Hofert M, Pham D*. (2013). Densities of nested Archimedean copulas. Journal of Multivariate Analysis. 118: 37-52. Published Refereed?: Yes 32. Embrechts P Hofert M. (2013). A note on generalized inverses. Mathematical Methods of Operations Research. 77(3): 423-432. Published Refereed?: Yes, Open Access?: Yes 33. Embrechts P Hofert M. (2013). Statistical inference for copulas in high dimensions: A simulation study. ASTIN Bulletin. 43(2): 81-95. Published Refereed?: Yes 34. Hofert M Wuethrich M. (2013). Statistical review of nuclear power accidents. Asia-Pacific Journal of Risk and Insurance. 7(1) Published Refereed?: Yes, Open Access?: No 35. Cambou M Hofert M. (2013). An importance sampling algorithm for copula models in insurance. European Actuarial Journal. Submitted Refereed?: Yes 36. Hofert M Vrins F. (2013). Sibuya copulas. Journal of Multivariate Analysis. 114: 318-337. Published Refereed?: Yes 37. Hofert M Maechler M McNeil A. (2012). Likelihood inference for Archimedean copulas in high dimensions under known margins. Journal of Multivariate Analysis. 110: 133-150. Published Refereed?: Yes 38. Hofert M. (2012). Sampling exponentially tilted stable distributions. ACM Transactions on Modeling and Computer Simulation. 22(1): 3.1-3.11. Published Refereed?: Yes 39. Hofert M. (2012). A stochastic representation and sampling algorithm for nested Archimedean copulas. Journal of Statistical Computation and Simulation. 82(9): 1239-1255. Published Refereed?: Yes

108 Dr. Jan Hofert Book Chapters

1. Gorecki J, Hofert M, Holena M. (2014). On the consistency of an estimator for hierarchical Archimedean copulas.Talasova J, Stoklasa J, Talesek T. 32nd International Conference on Mathematical Methods in Economics. : 239-244. Published, Univerzita Palackeho Refereed?: Yes 2. [Copula Modeling] Hering C, Hofert M. (2014). Goodness-of-fit tests for Archimedean copulas in high dimensions.Glau K, Scherer M, Zagst R. Innovations in Quantitative Risk Management. : NA. Accepted, Springer Refereed?: Yes 3. [Quantitative Risk Management] Embrechts P, Hofert M. (2012). Risk Measures and Dependence Modeling. Dionne G. Handbook of Insurance. : 135-166. Published, Springer-Verlag Refereed?: Yes

Manuals

1. Hofert M. (2016). crop: Graphics Cropping Tool. Published, CRAN-R 2. Hofert M Hornik K. (2016). qrmdata: Data Sets for Quantitative Risk Management Practice. Published, CRAN R 3. Hofert M Oldford R W. (2016). zenplots: Zigzag Expanded Navigation Plots. Published, CRAN-R 4. Hofert, M Lemieux C. (2015). qrng: (Randomized) Quasi-Random Number Generators. Published, CRAN-R 5. Hofert M Hornik K. (2015). qrmtools: Tools for Quantitative Risk Management. Published, CRAN- R 6. Hofert M Kojadinovic I Maechler M Yan J. (2014). copula: Multivariate Dependence with Copulas. Published, CRAN 7. Hofert M Maechler M. (2014). simsalapar: Tools for Simulation Studies in Parallel with R. Published, CRAN

109 Professor Ihab Francis Ilyas Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 2004/8 Doctorate, Computer Science, Purdue University Supervisors: Walid Aref and Ahmed Elmagarmid, 1999/9 - 2004/8 - 1999/8 Master's Thesis, Computer Science, Alexandria University Supervisors: Nagwa Elmakky, 1997/5 - - 1995/6 Bachelor's, Computer Science, Alexandria University

Recognitions 2014/9 - 2015/9 Google Faculty Award - 45,000 Google Prize / Award Faculty research Award 2014/9 ACM Distinguished Scientist - 0 Association for Computing Machinery Distinction Recognizes distinguished research members of the ACM 2014/4 - 2017/4 NSERC Accelerator Supplement - 120,000 National Research Council Canada Prize / Award 40000 each year for three years 2013/7 - 2016/7 David R. Cheriton Faculty Fellowship - 15,000 University of Waterloo Honor to recognize a faculty member whose scholarly work has gained national or international attention, whose teaching ability is exceptional, and who has displayed a high level of commitment and dedication to her/his department, the Faculty of Mathematics, and the University User Profile

Research Specialization Keywords: Databases, Data Cleaning, Data Quality, Information Retrieval, Ranking, Uncertain Data

110 Professor Ihab Ilyas

Employment 2014/7 Professor Computer Science, Faculty of Math, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 2013/1 Advisor and Co-Founder Data Tamer Co-founded the company with my former student, George Beskales and Prof. Mike Stonebraker from MIT and a number of other colleagues. Currently serving as an advisor on the technical platform 2008/11 Consultant - VP Research Primal Fusion Primal is a startup in the Waterloo area. I am Leading the research team on transferring the technical vision to product. Working mainly on using ontologies and semantic technologies to create scalable user models. 2009/7 - 2014/6 Associate Professor Computer Science, University of Waterloo Full-time, Term, Associate Professor Tenure Status: Tenure 2011/6 - 2013/9 Principal Scientist Qatar Computing Research Institute Founded and leading the Data Analytics Center. Hired a team of 5 scientists and 3 software engineers to conduct research relevant to the state of Qatar and having global impact. 2004/7 - 2009/7 Assistant Professor Computer Science, University of Waterloo Full-time, Term, Assistant Professor Tenure Status: Tenure Track 2003/5 - 2003/9 Research Intern IBM Almaden Research Center Working with the database group at Almaden on database research focusing on robust query processing and optimization. 2002/5 - 2002/9 Research Intern IBM Almaden Research Center Working with the database group at Almaden on database research focusing on robust query processing and optimization.

111 Professor Ihab Ilyas Leaves of Absence and Impact on Research 2011/9 - 2013/8 Unpaid, Qatar Computing Research Institute Built and led a world-class database group at the newly founded Qatar Computing Research Institute (QCRI). The experience had many positive effects on my research and leadership career: (1) The opportunity to start a group from scratch focusing on recruiting top researchers from all over the world; (2) Starting high-impact research projects in the field on data analytics, focusing on data quality; (3) Hiring my graduate students from Waterloo as research interns gave them a unique experience in working with various top researchers on projects that became integral part of their thesis research; (4) Commercializing and licensing our home grown research and founding a startup (Data Tamer) with collaborators from MIT as a strong example of technology transfer; and (5) Dealing with national-level challenges and stakeholders to solve large scale problem. We published multiple papers in top conferences, filed more than 10 patents, and released open-source software. 2011/9 - 2011/8 Sabbatical, University of Waterloo, Primal Fusion and QCRI Interacted with multiple colleagues from various organizations from industry, research labs and academia. I kept a close relationship with my students; we started investigating multiple new research directions focusing mainly on data quality. The interaction with industry gave us an appreciation of real world problems and helped us address more impactful issues in the field of data analytics and data cleaning. Research Funding History

Awarded [n=7] 2015/9 - 2020/9 Schema-Later Analytics with Proactive Cleaning, Grant Principal Investigator Funding Sources: Thomson Reuters Faculty Grant Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: No 2017/1 - 2020/1 Distributed Data Profiling, Grant Principal Applicant Funding Sources: Huawei Faculty Grant Total Funding - 250,000 Portion of Funding Received - 250,000 Funding Competitive?: Yes 2014/4 - 2019/4 Cleaning and Analysis of Large Uncertain and Inconsistent Data Sources, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) DISCOVERY Total Funding - 380,000 Portion of Funding Received - 380,000 Funding Competitive?: Yes 2014/4 - 2017/4 Cleaning and Analysis of Large Uncertain and Inconsistent Data Sources, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Research Accelerator Supplement

112 Professor Ihab Ilyas Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes 2014/9 - 2015/9 Information Extraction for Ling Tail Entities, Grant Principal Investigator Funding Sources: Google Faculty Award Total Funding - 50,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes 2010/4 - 2012/4 NSERC DISCOVERY: Probabilistic Retrieval and Cleaning of Large Uncertain and Principal Applicant Inconsistent Databases, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) DISCOVERY Total Funding - 215,000 Portion of Funding Received - 86,000 Funding Competitive?: Yes 2011/1 - 2011/12 Co- NSERC Business Intelligence Strategic Network (BIN): Modelling Uncertainty in applicant record De-duplication, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC Business Intelligence Strategic Network Total Funding - 52,000 Portion of Funding Received - 26,000 Funding Competitive?: Yes Co-applicant : Tamer Ozsu

Completed [n=2] 2012/1 - 2013/12 NSERC Business Intelligence Strategic Network (BIN): Modelling and Querying Co-applicant Uncertainty in Record De-duplication and Repairing FD Violations, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Business Intelligence Strategic Network Total Funding - 62,000 Portion of Funding Received - 31,000 Funding Competitive?: Yes Co-applicant : Tamer Ozsu

113 Professor Ihab Ilyas 2008/8 - 2013/8 Early Researcher Award, Grant Principal Applicant Funding Sources: University of Waterloo ERA - Matching Total Funding - 50,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes Government of Ontario (Ottawa, ON) Early Researcher Award Total Funding - 100,000 Portion of Funding Received - 100,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s [n=2] 2018/1 - 2018/5 Jiexuan Zheng (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/5 Thesis/Project Title: NSERC - URSA: HoloClean System Implemntation Present Position: undergrad 2017/9 - 2017/12 Jiexuan Zheng (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: HoloClean: System development and deployment Present Position: undergrad Master’s non-Thesis [n=2] 2015/1 - 2015/11 Hella Hoffmann (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Holistic Cleaning of Heterogeneous Datasets usingConditional Denial Constraints - Master Research Paper Present Position: Thomson Reuters 2011/9 - 2015/12 John Morcos (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Crowd Sourcing for Data Cleaning Tasks - Master Research Paper Present Position: Software Engineer, Microsoft Master’s Thesis [n=6] 2016/9 - 2018/1 Anam Shadab (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Data Driven Techniques for Schema Discovery in RDF Present Position: Software Engineer 2016/1 - 2019/1 Ahmed Aljimai (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Distributed Profiling Present Position: grad student 2014/9 - 2018/6 Shichao Jin (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Hybrid Column-Row Stores for Mixed Workloads Present Position: Grad student 2010/9 - 2013/9 Artur Galiullin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Probabilistic Query Answering on Dirty Databases Present Position: Facebook

114 Professor Ihab Ilyas 2009/9 - 2012/3 Mina Farid (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Query Optimization for On-Demand Information Extraction Tasks over Text Databases Present Position: Phd Student 2008/9 - 2012/9 Mina Saleeb (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Ad-hoc Holistic Ranking Aggregation Present Position: Oracle, USA Doctorate [n=12] 2017/9 - 2022/9 Georgios Michalopoulos (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Knowledge Fusion using HoloClean Present Position: Phd Student 2017/9 - 2022/9 Michael Azmy (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2022/9 Thesis/Project Title: the DSTLR Project Present Position: Phd Student 2017/1 - 2022/1 Alireza Heydari (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Sampling in HoloClean: Sampling from Dirty Data Present Position: Phd Student 2016/9 - 2021/12 Chang Ge (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2021/12 Thesis/Project Title: Cleaning Private Data Sets Present Position: University of Waterloo 2015/9 - 2020/9 Hemant Saxena (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2020/9 Thesis/Project Title: Scalable Data Profiling Present Position: PhD Student 2014/9 - 2019/9 Jian Li (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/9 Thesis/Project Title: Profiling RDF Data Present Position: PhD Student 2014/1 - 2019/12 Mina Farid (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: DSTLR: Profiling, Cleaning and Efficient Processing of Dirty RDF Data Present Position: PhD Student 2011/9 - 2017/9 Xu Chu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Scalable and Holistic Qualitative Data Cleaning Present Position: Assistant Professor, Georgia Institute of Technology 2009/9 - 2013/8 Jeffrey Pound (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Interpreting and Answering Keyword Queries using Web Knowledge Bases Present Position: SAP - Canada 2009/9 - 2019/12 Anup Kumar Chalamalla (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: Discovering Interaction Patterns in Heterogeneous Networks Present Position: Software Engineer

115 Professor Ihab Ilyas 2005/9 - 2012/9 George Besklaes (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Modeling and Querying Uncertainty in Data Cleaning Present Position: Data Tamer, Boston, USA 2005/1 - 2012/5 Amr El-Helw (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Query Optimization in Dynamic Environments Present Position: Greenplum, USA Post-doctorate [n=2] 2016/1 - 2017/6 Lanjun Wang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Cleaning Machine Generated Data Streams Present Position: Research Staff, Huawei 2015/1 - 2016/12 Alexandra Roatis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Cleaning RDF data sets Present Position: N/A

Event Administration 2016/1 - 2021/1 VLDB Board of Trustees Member, The VLDB Endownment, Association, 2016/1 - 2021/1 2017/1 - 2020/1 SIGMOD Vice President, ACM SIGMOD, Association, 2017/1 - 2020/1 2018/7 - 2019/2 Core PC Member (Group Leader), The ACM SIGMOD International Conference on Management of Data, SIGMOD 2019, Conference, 2019/6 - 2019/6 2017/4 - 2018/3 PC Member, The International Conference on Very Large Databases 2018, Conference, 2018/8 - 2018/8 2017/10 - 2018/2 Workshop Co-Chair, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2018, Conference, 2018/6 - 2018/6 2017/10 - 2018/2 Tutorial Co-Chair, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2018, Conference, 2018/6 - 2018/6 2017/5 - 2018/2 TKDE Poster Track Co-Chair, IEEE International Conference on Data Engineering, ICDE 2018, Conference, 2018/4 - 2018/4 2016/4 - 2017/3 PC Member, The International Conference on Very Large Databases 2017, Conference, 2017/8 - 2017/8 2016/7 - 2017/2 PC Member, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2017, Conference, 2017/6 - 2017/6 2015/4 - 2016/3 Associate Editor, The International Conference on Very Large Databases 2016, Conference, 2016/9 - 2016/9 2015/7 - 2016/2 PC Group Leader, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, Conference, 2016/6 - 2016/6 2015/6 - 2016/2 PC Member, IEEE International Conference on Data Engineering, ICDE 2016, Conference, 2016/4 - 2016/4 2014/5 - 2015/2 PC Member, IEEE International Conference on Data Engineering, ICDE 2015, Conference, 2015/4 - 2015/4 2013/7 - 2014/9 PC Member, The International Conference on Very Large Databases 2014, Conference, 2014/9 - 2014/9 2013/7 - 2014/6 PC Member, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Conference, 2014/6 - 2014/6

116 Professor Ihab Ilyas 2013/3 - 2014/3 PC Member, he International Conference on Extending Database Technology, EDBT 2014, Conference, 2014/3 - 2014/3 2013/3 - 2013/8 Panel Track Co -Chair, The International Conference on Very Large Databases, VLDB 2013, Conference, 2013/8 - 2013/8 2006/8 - 2013/8 Proposer and Steering Committee, DBRank Workshops yearly from 2006 to 2013, Workshop, 2006/8 - 2013/8 2012/11 - 2013/6 PC Area Chair, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, Conference, 2013/6 - 2013/6 2012/3 - 2013/4 PC Member, IEEE International Conference on Data Engineering, ICDE 2013, Conference, 2013/4 - 2013/4 2011/3 - 2012/8 PC Member, The International Conference on Very Large Databases 2012, Conference, 2012/8 - 2012/8 2010/4 - 2011/9 PC Member, The International Conference on Very Large Databases 2011, Conference, 2011/8 - 2011/9 2010/10 - 2011/6 PC Member, The ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Conference, 2011/6 - 2011/6 2010/1 - 2011/4 PC Member, IEEE International Conference on Data Engineering, ICDE 2011, Conference, 2011/4 - 2011/4

Editorial Activities 2014/1 - 2019/1 Associate Editor, Foundations and Trends in Databases (FnTDB)., Journal 2014/1 - 2019/1 Associate Editor, ACM Transactions on Database Systems (TODS), Journal 2013/9 - 2014/9 Area Editor, Encyclopedia of Database Systems, Book

Knowledge and Technology Translation 2013/1 - 2017/1 Co-founder and Advisor, Involvement in/Creation of Start-up Group/Organization/Business Serviced: Data Tamer Target Stakeholder: Industry/Business (>500 employees) Outcome / Deliverable: Co-founded Data Tamer, a startup in the Boston Area along with my former student and collaborators. Evidence of Uptake/Impact: Data Tamer has raised seed funding from Google Ventures and NEA. Pilot deployments of platform are underway Activity Description: Co-founder and Co-inventor of core technology (licensed to the company), Currently acting as advisor on algorithms and technical details of the platform 2008/11 - 2016/11 Consultant, Consulting for Industry Group/Organization/Business Serviced: Primal Fusion Inc Target Stakeholder: Industry/Business-Medium (100 to 500 employees) Outcome / Deliverable: Consulting and leading the research activities at Primal since 2008 Evidence of Uptake/Impact: more than 20 patents filed and multiple pilot prototypes. References / Citations / Web Sites: www.primal.com Activity Description: Consulting and leading the research team: developing algorithms and solutions for the various technical challenges facing the product team.

International Collaboration Activities 2011/12 - 2013/9 Principal Investigator - MIT QCRI collaborative research Agreement, United States Lead the collaborative data analytics research activities at the Qatar computing research

117 Professor Ihab Ilyas institute (QCRI) as part of the collaborative research agreement between MIT and QCRI. Sitting on the technical Advisory Committee of the collaborative research program for vetting and choosing funded research projects between QCRI and MIT Presentations 1. (2018). Building Scalable Machine Learning Solutions for Data Curation. University of Michigan - MIDAS, Ann Arbor, United States Main Audience: General Public Invited?: Yes, Keynote?: No 2. (2018). Building Scalable Machine Learning Solutions for Data Curation. Strata Data Summit, London, United Kingdom Main Audience: Knowledge User Invited?: Yes, Keynote?: No 3. (2017). Building Scalable Machine Learning Solutions for Data Curation. HKUST University FinTech Education Forum, Hong Kong Main Audience: General Public Invited?: Yes, Keynote?: Yes 4. (2017). Building Scalable Machine Learning Solutions for Data Curation. University of Hong Kong, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2017). Building Scalable Machine Learning Solutions for Data Curation. Strata Data Summit, New York, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 6. (2017). Building Scalable Machine Learning Solutions for Data Curation. University of Grenoble, France Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2017). Building Scalable Machine Learning Solutions for Data Curation. HKUST, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2017). Building Scalable Machine Learning Solutions for Data Curation. DaQuaTa, Internal Workshop on Data Quality, Lyon, France Main Audience: Researcher Invited?: Yes, Keynote?: Yes 9. (2017). Building Scalable Machine Learning Solutions for Data Curation. Tulane University, New Orleans, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2017). Data Cleaning from Theory to Practice. TU Berlin, Berlin, Germany Invited?: Yes, Keynote?: No 11. (2017). Building Scalable Machine Learning Solutions for Data Curation. Huawei Noah's Ark Lab, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2016). Tackling Machine Learning Challenges in Data Cleaning. Strata Hadoop Summit, New York, United 118 Professor Ihab Ilyas States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 13. (2016). Data Cleaning from Theory to Practice. DaQuaTa, Internal Workshop on Data Quality, Lyon, France Main Audience: Researcher Invited?: Yes, Keynote?: Yes 14. (2016). Data Cleaning from Theory to Practice. Brown University, United States Invited?: Yes, Keynote?: No 15. (2015). The Case for Continuous and Proactive Data Curation. Thomson Reuters C-Level Panel, New York, United States Main Audience: Decision Maker Invited?: Yes, Keynote?: No 16. (2015). Tackling Machine Learning Challenges in Data Cleaning. Strata Hadoop Summit, New York, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 17. (2014). Data Cleaning from Theory to Practice. Two Sigma (Investment Company), New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 18. (2014). Data Cleaning from Theory to Practice. Pivotal (Greenplum), California, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). Data Cleaning from Theory to Practice. Smart Nations Data Works, Singapore, Singapore Main Audience: Knowledge User Invited?: Yes, Keynote?: Yes 20. (2014). Data Cleaning from Theory to Practice. Microsoft Research, Redwood, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 21. (2014). Data Cleaning from Theory to Practice. INFOS 2014, Egypt Main Audience: Researcher Invited?: Yes, Keynote?: Yes 22. (2014). Data Cleaning from Theory to Practice. Yahoo Research Barcelona, Barcelona, Spain Main Audience: Researcher Invited?: Yes, Keynote?: No 23. (2014). Data Cleaning from Theory to Practice. MIT, CSAIL Big Data Lecture Series, Boston, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 24. (2013). UClean: Non-Destructive Data Cleaning. IBM Almaden Research Center, Almaden, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2013). On the Relative Trust between Inconsistent Data and Inaccurate Constraints. The IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Brisbane, Australia Main Audience: Researcher

119 Professor Ihab Ilyas Invited?: No, Keynote?: No 26. (2013). Interpreting Keyword Queries over Web Knowledge Bases. New York University, Abu-Dhabi, Abu Dhabi, United Arab Emirates Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2012). UClean: Probabilistic Data Cleaning. The 10th International Workshop on Quality in Databases (QDB) in conjunction with VLDB 2012, Istanbul, Istanbul, Turkey Main Audience: Researcher Invited?: Yes, Keynote?: Yes

Publications

Journal Articles

1. Liu X*, Golab L, Golab W, Ilyas I, Jin S*,. (2017). Smart Meter Data Analytics: Systems, Algorithmsand Benchmarking. ACM Transactions on Databases Systems (TODS). 42(1): 2:1 - 2:39. Published Refereed?: Yes 2. Rekatsinas T*,Chu X*, Ilyas I, Ré C. (2017). HoloClean: Holistic Data Repairs withProbabilistic Inference. PVLDB - Proceedings of the VLDB Endowment. 10(11): 1190-1201. Published Refereed?: Yes 3. Ilyas I. (2016). Effective Data Cleaning with Continuous Evaluation. IEEE Data Engineering Bulletin. 39(2): 38-46. Published Refereed?: No 4. Chu X*, Ilyas I. (2016). Distributed Data Deduplication. PVLDB - Proceedings of the VLDB Endowment. 9(11): 864 - 875. Published Refereed?: Yes 5. Khabsa M*, Elmagarmid A, Ilyas I, Hammady H, Ouzzani M. (2016). Learning to Identify Relevant Studies forSystematic Reviews Using Random Forest and External Information. Machine Learning. 102(3): 465- 482. Published Refereed?: Yes 6. Abedjan Z*, Chu X*, Deng D*, Fernandez R*,Ilyas I, Ouzzani M, Papotti P, Stonebraker M, Tang N. (2016). Detecting Data Errors: Where are we and whatneeds to be done?. PVLDB - Proceedings of the VLDB Endowment. 9(12): 993-1004. Published Refereed?: Yes 7. Chu X*, Ouzzani M, Morcos J*, Ilyas I, Papotti P, Tang N, and Ye Y,. (2015). KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing. PVLDB - Proceedings of the VLDB Endowment,. 8(12): 1952-1963. Published Refereed?: Yes 8. Ihab I, Chu X*. (2015). Trends in Cleaning Relational Data: Consistencyand Deduplication. Foundations and Trends in Databases (FnTDB). 5(4): 281 - 393. 120 Professor Ihab Ilyas Published Refereed?: Yes 9. Dallachiesa M*, Palpanas T, Ilyas I. (2014). Top-k Nearest Neighbor Search in Uncertain DataSeries. PVLDB - Proceedings of the VLDB Endowment,. 8(1): 13-24. Published Refereed?: Yes 10. Beskales G*, Ilyas I, Golab L, Galiullin A*. (2014). Sampling from Repairs of Conditional Functional Dependency Violations. the VLDB Journal: The International Journal on Very Large Databases. 23(1): 103- 128. Published Refereed?: Yes 11. Chu X*, Ilyas I, Papotti P. (2013). Discovering Denial Constraints. PVLDB - Proceeding of the VLDB Endowment. 6(13): 1498-1509. Published Refereed?: Yes

Journal Issues

1. Multiple. (2013). Probabilistic Web Data Managemen. World Wide Web. 16(3) Published Refereed?: Yes Editors: Chen L, Ilyas I, Re C, Zhou X

Conference Publications

1. Fernandez R*, Deng D*, Mansour E, Qahtan A, Tao W*, Abedjan Z, Elmagarmid A, Ilyas I, Madden S, Ouzzani M, Stonebraker M, Tang N. (2017). A Demo of the Data Civilizer System. 2017 ACM SIGMOD Conference on Management of Data. 2017 ACM SIGMOD Conference on Management of Data, Chicago, United States (1639-1642) Conference Date: 2017/6 Poster Published Refereed?: Yes, Invited?: No 2. Deng D*,Fernandez R*, Abedjan Z, Wang S, Stonebraker M, Elmagarmid A, Ilyas I, Madden S, Ouzzani M, Tang N. (2017). The Data Civilizer System. the Biennial Conference on Innovative Data Systems Research, CIDR 2017. the Biennial Conference on Innovative Data Systems Research, CIDR 2017, Chaminade, United States (12 pages) Conference Date: 2017/1 Paper Published Refereed?: Yes, Invited?: No 3. Abedjan Z*, Morcos J*, Ilyas I, Ouzzani M, Papotti P, Stonebraker M. (2016). DataXFormer: A Robust Transformation Discovery System. IEEE International Conference on Data Engineering, ICDE 2016. IEEE International Conference on Data Engineering, ICDE 2016, Finland (1134-1145) Paper Published Refereed?: Yes, Invited?: No 121 Professor Ihab Ilyas 4. Farid M*, Ilyas I, Whang S, Yu C. (2016). LONLIES: Estimating Property Values for Long Tail Entities. 2016 ACM SIGIR Conference on Research and Development in Information Retrieval. 2016 ACM SIGIR Conference on Research and Development in Information Retrieval, PIsa, Italy (1125-1128) Conference Date: 2016/7 Poster Published Refereed?: Yes, Invited?: No 5. Farid M*, Roatis A*, Ilyas I, Hoffmann H*, Chu X*. (2016). CLAMS:Bringing Quality to Data Lakes. 2016 ACM SIGMOD Conference on Management of Data. 2016 ACM SIGMOD Conference on Management of Data, San Fransisco, United States (2089-2092) Conference Date: 2016/6 Poster Published Refereed?: Yes, Invited?: No 6. Chu X*, Ouzzani M, Morcos J*,. Ilyas I, Papotti P, Tang N, Ye Y. (2015). KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing (DEMO). Proceedings of the VLDB Endowment - PVLDB. the 41st International Conference on Very Large Databases, VLDB 2015, hawaii, United States (1952-1955) Conference Date: 2015/9 Paper Published Refereed?: Yes, Invited?: No 7. Chu X*, Morcos J*, Ilyas I, Ouzzani M, Papotti P, Tang N, Ye Y. (2015). KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing. 2015 ACM SIGMOD Conference on Management of Data,. 2015 ACM SIGMOD Conference on Management of Data,, Melbourne, Australia (1247-1261) Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: No 8. Morcos J*, Abedjan Z*, Ilyas I, Papotti P, Ouzzani M, Stonebraker M. (2015). DataXFormerAn Interactive Data Transformation Tool (DEMO). 2015 ACM SIGMOD Conference on Management of Data,. 2015 ACM SIGMOD Conference on Management of Data, Melbourne, Australia (883-888) Conference Date: 2015/6 Poster Published Refereed?: Yes, Invited?: No 9. Khayyat Z*, Ilyas I, Jindal A*, Madden S, Ouzzani M, Papotti P, Quiané-Ruiz J, Tang N, Yin S. (2015). BigDansing: A System for Big Data Cleansing. 2015 ACM SIGMOD Conference on Management of Data. 2015 ACM SIGMOD Conference on Management of Data, Melbourne, Australia (1215-1230) Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: No 10. Liu X*, Golab L, Golab W, Ilyas I. (2015). Benchmarking Smart Meter Data Analytics. the 18th International Conference on Extending Database Technology, EDBT. the 18th International Conference on Extending Database Technology, EDBT, Brussles, Belgium (385-396) Conference Date: 2015/3 Paper

122 Professor Ihab Ilyas Published Refereed?: Yes, Invited?: No 11. Abedjan Z*, Morcos J*, Gubanov M*, Ilyas I, Stonebraker M, Papotti P, Ouzzani M. (2015). Leveraging the Web for Semantic Transformations. The Biennial Conference on Innovative Data Systems Research, CIDR 15. the Biennial Conference on Innovative Data Systems Research, CIDR 2015, Asilomar, United States Conference Date: 2015/1 Paper Published Refereed?: Yes, Invited?: No 12. Elmagarmid A, Ilyas I, Ouzzani M, Quiane J, Tang N, Yin S. (2014). NADEEF/ER:Generic and Interactive Entity Resolution (DEMO). 2014 ACM SIGMOD Conference on Management of Data. 2014 ACM SIGMOD Conference on Management of Data, Snowbird, United States (1071-1074) Conference Date: 2014/6 Poster Published Refereed?: Yes, Invited?: No 13. Chalamalla A*, Ilyas I, Ouzzani M, Papotti P. (2014). Descriptive and Prescriptive Data Cleaning. 2014 ACM SIGMOD Conference on Management of Data. 2014 ACM SIGMOD Conference on Management of Data, SNowbird, United States (445-456) Conference Date: 2014/6 Paper Published Refereed?: Yes, Invited?: No 14. Ebaid A*, Elmagarmid A, Ilyas I, Ouzzani M, Tang N, Yin S. (2013). NADEEF: A Generalized Data Cleaning System (DEMO PAPER). the 39th International Conference on Very Large Data Bases, VLDB 2013. the 39th International Conference on Very Large Data Bases, VLDB 2013, Riva Del Garda, Italy Conference Date: 2013/8 Poster Published Refereed?: Yes, Invited?: No 15. Dallachiesa M*, Ebaid A*, Eldawi A*, Elmagarmid A, Ilyas I, Ouzzani M, Tang N. (2013). NADEEF, A Commodity Data Cleaning System. 2013 ACM SIGMOD Conference on Management of Data. 2013 ACM SIGMOD Conference on Management of Data, New York, United States (541-552) Conference Date: 2013/6 Paper Published Refereed?: Yes, Invited?: No 16. Chu X*, Ilyas I, Papotti P. (2013). Holistic Data Cleaning: Putting Violations into Context. IEEE International Conference on Data Engineering, ICDE 2013. IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia (458-469) Conference Date: 2013/4 Paper Published Refereed?: Yes, Invited?: No

123 Professor Ihab Ilyas 17. Beskales G*, Ilyas I, Golab L, Galiullin A*. (2013). On the Relative Trust between Inconsistent Data and Inaccurate Constraints. IEEE International Conference on Data Engineering, ICDE 2013. IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia (541-552) Conference Date: 2013/4 Paper Published Refereed?: Yes, Invited?: No 18. Stonebraker M, Bruckner D*, Ilyas I, Beskales G*, Cherniack M, Zdonik S, Pagan A*, Xu S. (2013). Data Curation at Scale, The Data Tamer System. the Biennial Conference on Innovative Data Systems Research 2013. the Biennial Conference on Innovative Data Systems Research, CIDR 2013, Asilomar, United States Conference Date: 2013/1 Paper Published Refereed?: Yes, Invited?: No 19. Pound J*, Hudek A, Ilyas I, Weddell G. (2012). Interpreting Keyword Queries over Web Knowledge Bases. International Conference on Information and Knowledge Management, CIKM 2012. International Conference on Information and Knowledge Management, CIKM 2012, Maui, United States (305-314) Conference Date: 2012/10 Paper Published Refereed?: Yes, Invited?: No 20. El-Helw A*, Farid M*, Ilyas I. (2012). Just-in-time Information Extraction Using Extraction Views (DEMO PAPER). 2012 ACM SIGMOD Conference on Management of Data. 2012 ACM SIGMOD Conference on Management of Data, Scottsdale, United States (613-616) Conference Date: 2012/5 Poster Published Refereed?: Yes, Invited?: No

Intellectual Property

Patents

1. Knowledge representation systems and methods incorporating customization. Canada. US Patent 20130046723. 2012/09/10. Patent Status: Pending 2. System and method for obtaining preferences with a user interface. Canada. US Patent 20120324367. 2012/06/20. Patent Status: Pending 3. Preference-guided semantic processing. Canada. US Patent 20120323899. 2012/01/20. Patent Status: Pending 4. Systems and methods for applying statistical inference techniques to knowledge representations. Canada. US Patent 20120166372. 2012/01/06. Patent Status: Pending 5. Knowledge representation systems and methods incorporating data consumer models and preferences. Canada. US Patent 20120166371. 2012/01/06. Patent Status: Pending

124 Professor Ihab Ilyas 6. Knowledge Representation Systems and Methods Incorporating Inference Rules. Canada. US Patent 20120166373. 2012/01/06. Patent Status: Pending 7. Methods and apparatus for providing information of interest to one or more users. Canada. US Patent 20120150874. 2012/01/04. Patent Status: Pending 8. System and method for performing a semantic operation on a digital social network. Canada. US Patent 20130007124. 2011/12/30. Patent Status: Pending 9. System and Method for Using a Knowledge Representation to Provide Information Based on Environmental Inputs. Canada. US Patent 20120179642. 2011/12/30. Patent Status: Pending 10. Method and apparatus for providing information collection using template-based user tasks. Canada. US Patent 20130159040. 2011/12/16. Patent Status: Pending 11. Database Record Repair. Qatar. US Patent 20130054539. 2011/08/26. Patent Status: Pending Inventors: Ihab F. Ilyas, Mohamed Yakout, Ahmed Elmagarmid 12. Holistic Database Record Repair. Qatar. US Patent 20130054541. 2011/08/26. Patent Status: Pending 13. Systems and methods for analyzing and synthesizing complex knowledge representations. Canada. US Patent 20110320396. 2011/06/22. Patent Status: Pending 14. Method and System for Large Scale Data Curation. United States. US Patent 95424122017. Patent Status: Granted/Issued Year Issued: 2017 Inventors: Nikolaus Bates-Haus, George Beskales, Daniel Meir Bruckner, Ihab F. Ilyas Alexander Richter Pagan, Michael Stonebraker Licenses

1. Method And System For Integrating Data Into A Database Granted Filing Date: 2013/01/01 Patent Application Licensed to Data Tamer. The patent co-inventors are Ihab Ilyas and George Beskales. Rights are assigned to the Qatar Computing Research Institute

125 Professor Jochen Koenemann

Professor Jochen Koenemann Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes Yes Yes No German Yes Yes Yes Yes Yes

Degrees - 2003/5 Doctorate, Algorithms, Combinatorics & Optimization, Carnegie-Mellon University Supervisors: R. Ravi, 1998/7 - 2003/5 - 1998/7 Master's Equivalent, Theoretical Computer Science, Universitat des Saarlandes Supervisors: Naveen Garg, 1993/9 - 1998/7; Kurt Mehlhorn, 1993/9 - 1998/7

Recognitions 2015/5 Outstanding Performance Award University of Waterloo Prize / Award The University of Waterloo's Outstanding Performance Award rewards faculty members for outstanding contribution in teaching and scholarship. 2012/5 Outstanding Performance Award University of Waterloo Prize / Award The University of Waterloo's Outstanding Performance Award rewards faculty members for outstanding contribution in teaching and scholarship. 2012/3 - 2015/3 NSERC Discovery Accelerator Supplement - 120,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award The DAS program provides substantial and timely resources to researchers who have a superior research program that is highly rated in terms of originality and innovation, and who show strong potential to become international leaders within their field. These additional resources should enable a researcher with an established research program to capitalize on an opportunity (e.g., a recent research breakthrough, a paradigm shift, or a new strategy to tackle a scientific problem or research question, etc.). Each award is valued at $120,000. 2010/4 - 2012/4 Early Researcher Award, Project Title "Algorithmic Game Theory and Approximate Network Design" - 84,000 Government of Ontario Prize / Award

126 Professor Jochen Koenemann

The Early Researcher Awards program gives funding to new researchers working at publicly funded Ontario research institutions to build a research team.

User Profile

Research Specialization Keywords: Combinatorial Optimization, Theoretical Computer Science, Approximation Algorithms, Algorithmic Game Theory

Employment 2013/7 Professor Combinatorics & Optimization, University of Waterloo Full-time, Professor Tenure Status: Tenure 2016/9 - 2019/8 Department Chair Combinatorics & Optimization, University of Waterloo Full-time, Professor Tenure Status: Tenure 2008/7 - 2013/6 Associate Professor Combinatorics & Optimization, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2010/9 - 2011/8 Department Chair Combinatorics & Optimization, University of Waterloo Full-time Tenure Status: Tenure 2003/7 - 2008/6 Assistant Professor Combinatorics & Optimization, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2003/7 - 2004/6 Visiting Researcher Dipartimento di Informatica e Sistemistica, Universita Degli Studi di Roma 'La Sapienza' Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track

Research Funding History Awarded [n=1] 2017/4 - 2023/3 Efficient Algorithms for Combinatorial Optimization Problems in Networks and Beyond, Principal Applicant Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 210,000 Portion of Funding Received - 0 Funding Competitive?: Yes Completed [n=2]

127 Professor Jochen Koenemann

2012/4 - 2017/3 Flexible and Effective Techniques for the Design of Approximation Algorithms, Grant Co-investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Flexible and Effective Techniques for the Design of Approximation Algorithms Total Funding - 210,000 Portion of Funding Received - 210,000 Funding Competitive?: Yes 2007/4 - 2012/3 Algorithmic Game Theory and Approximate Network Design, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Algorithmic Game Theory and Approximate Network Design Total Funding - 125,000 Portion of Funding Received - 125,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Master’s non-Thesis [n=1] 2011/9 - 2013/12 Devanshu Pandey (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Vehicle Routing: A Survey of Approximation Algorithms Techniques Present Position: Big Data Technical Lead, Bell Canada

Master’s Thesis [n=7] 2015/9 - 2016/12 William Justin Toth (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stable Matchings in Two and Three Dimensions Present Position: PhD Student, University of Waterloo 2012/5 - 2014/7 Mohammad Shadravan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Applying Lift and Project to the Directed Steiner Tree Problem Present Position: Graduate Student, Columbia University, New York 2012/5 - 2013/7 Sina Sadeghian (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Node-weighted Prize-Collecting Steiner Tree and Applications Present Position: Chief Technology Officer, ApplyBoard 2011/9 - 2013/9 Malcolm Sharpe (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Efficient and Improved Steiner Tree Algorithms Present Position: unknown 2010/5 - 2011/9 Elyot Grant (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Covering Problems via Structural Approaches Present Position: Co-Founder, Lunarch Studios 2009/9 - 2012/12 David Steiner (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Network Bargaining: Creating Stability using Blocking Sets Present Position: Google 2008/9 - 2010/9 Marcus Shea (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Iterative Rounding Approximation Algorithms in Network Design Present Position: Front Office Quantitative Researcher, BMO Capital Markets Doctorate [n=5] 128 Professor Jochen Koenemann

2017/1 - 2022/1 William Justin Toth (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Aspects of Cooperative Matching Games Present Position: PhD Student, University of Waterloo 2016/9 - 2021/5 Hao Sun (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2021/5 Thesis/Project Title: Approximating Directed Feedback Vertex Sets in Planar Graphs Present Position: PhD Student, University of Waterloo 2012/5 - 2015/7 Linda Farczadi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Matchings and Games on Networks Present Position: PDF, Ecole Polytechnique Federale de Lausanne 2011/9 - 2015/8 Isaac Fung (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Advances in Approximating Network Design Problems 2006/9 - 2010/9 David Pritchard (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: LP Tools and Approximation Algorithms for Combinatorial Optimization Present Position: Google

Post-doctorate [n=9] 2016/10 - 2017/12 Martin Gross (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Approximation Algorithms Present Position: Postdoctoral Researcher, University of Aachen (RWTH) 2016/8 - 2018/7 Kanstantsin Pashkovich (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Stable Matchings, Approximation Algorithms 2014/9 - 2015/5 Umang Bhaskar (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Algorithmic Game Theory Present Position: Assistant Professor, Tata Institute of Fundamental Research 2012/9 - 2014/12 Ian Post (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Metric Embeddings and Approximation Algorithms Present Position: Google 2012/9 - 2015/5 Andreas Emil Feldmann (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Metric Embeddings and Approximate Network Design Present Position: Assistant Professor, Charles University, Prague, Czechia 2011/9 - 2014/12 Zachary Friggstad (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: New Techniques for Approximate Network Design Present Position: Assistant Professor, University of Alberta, Edmonton 2011/9 - 2011/12 Yogi Sharma (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Approximation Algorithms for Network Design Present Position: Dropbox 2010/9 - 2012/9 Konstantinos Georgiou (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Algorithmic Game Theory & Network Design Present Position: Assistant Professor, Reyerson University

129 Professor Jochen Koenemann

2008/9 - 2010/9 Deeparnab Chakrabarty (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Approximation Algorithms for Network Design Present Position: Assistant Professor, Dartmouth College Research Associate [n=3] 2014/12 - 2015/4 Deon Nicholas, University of Waterloo Principal Supervisor Thesis/Project Title: Optimization in Cranofacial Surgery Present Position: Dropbox 2014/5 - 2014/8 Jason Lin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Directed Multicut in Planar Graphs Present Position: Software Engineer at Microsoft, Seattle, USA 2011/5 - 2011/8 Alexander Remorov (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Primal-Dual Algorithms for Rational Convex Programs Present Position: Graduate Student, Massachussets Institute of Technology

Event Administration 2016/1 - 2017/6 Chair (local arrangements), Integer Programming and Combinatorial Optimization, Conference, 2017/6 - 2017/6 2014/9 - 2015/12 Co-Organizer, Hausdorff Trimester Program on Combinatorial Optimization, Course, 2015/9 - 2015/12 2013/1 - 2013/8 Co-Organizer, Workshop on Flexible Network Design, Workshop, 2013/7 - 2013/8

Editorial Activities 2015/4 - 2025/4 Associate Editor, Journal of Computer and System Sciences, Journal 2018/1 - 2023/1 Co-Editor, Mathematical Programming (Series A), Journal 2011/6 - 2021/6 Associate Editor, Surveys in Operations Research, Journal 2014/5 - 2016/7 Guest Editor (Best papers of STOC'14), SIAM Journal on Computing, Journal

Committee Memberships 2018/2 Committee Member, ACM Conference on Economics and Computation (EC), Association for Computing Machinery 2017/9 Committee Member, European Symposium on Algorithms (ESA), Technical University Vienna 2017/6 Committee Member, Conference on Integer Programming and Combinatorial Optimization (IPCO), University of Waterloo I am the local chair for IPCO'17 in Waterloo. In this capacity, I am also member of the program committee. 2017/1 Committee Member, ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics (SIAM) 2016/6 Committee Member, Conference on Integer Programming and Combinatorial Optimization (IPCO), University of Liege, Belgium 2015/9 Committee Member, International Symposium on Algorithmic Game Theory (SAGT), Universitat des Saarlandes

130 Professor Jochen Koenemann

2014/9 Committee Member, International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), Universitat de Barcelona 2014/6 Committee Member, ACM Conference on Economics and Computation (EC), Association for Computing Machinery 2014/5 Committee Member, ACM Symposium on Theory of Computing (STOC), Society for Industrial and Applied Mathematics (SIAM) 2014/1 Committee Member, ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics (SIAM) 2013/12 Committee Member, Conference on Web and Internet Economics (WINE), Harvard University 2013/10 Committee Member, International Symposium on Algorithmic Game Theory (SAGT), Aachen Technical University 2012/9 Committee Member, European Symposium on Algorithms (ESA), University of Ljubljana 2012/8 Co-chair, International Symposium on Mathematical Programming (ISMP), Technische Universitat Berlin I was a co-chair for the cluster on Combinatorial Optimization, responsible for organizing 80 sessions with three talks each. 2012/8 Committee Member, International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), Massachusetts Institute of Technology 2012/4 Committee Member, International Symposium on Combinatorial Optimization (ISCO), University of Athens 2011/6 Committee Member, Workshop on Approximation and Online Algorithms (WAOA), Universitat des Saarlandes 2010/9 Committee Member, Workshop on Approximation and Online Algorithms (WAOA), The University of Liverpool

Other Memberships 2010/10 Member, Mathematical Optimization Society MOS is an international organization dedicated to the promotion and the maintenance of high professional standards in the subject of mathematical optimization. 2004/1 Member, Association for Computing Machinery ACM, the world's largest educational and scientific computing society, delivers resources that advance computing as a science and a profession. ACM provides the computing field's premier Digital Library and serves its members and the computing profession with leading-edge publications, conferences, and career resources.

Presentations 1. (2017). Improved Approximation for Tree Augmentation via Chvatal Gomory Cuts. 2017 Workshop on Models and Algorithms for Planning and Scheduling Problems, Seeon Abbey, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes

131 Professor Jochen Koenemann

2. (2016). Network Bargaining – Where Bargaining & Matching Theory Meet. Invited talk at CWI, Amsterdam, Netherlands Invited?: Yes, Keynote?: No 3. (2016). Approximate Deadline Scheduling with Precedence Constraints. Invited main talk at Colloquium of Research Area KL "Algorithms & Complexity" of the Hausdorff Center for Mathematics, Bonn, Germany Invited?: Yes, Keynote?: No 4. (2016). Network Bargaining – Where Bargaining & Matching Theory Meet. Invited Talk at London School of Economics, London, United Kingdom Invited?: Yes, Keynote?: No 5. (2016). Probabilistic Embeddings of Low Highway Dimension Graphs into Graphs of Bounded Treewidth. Discrete Optimization, Zurich, Switzerland Invited?: Yes, Keynote?: No 6. (2016). Network Bargaining – Where Bargaining & Matching Theory Meet. Invited talk in Graduate Colloqium, Berlin, Germany Invited?: Yes, Keynote?: No 7. (2016). Aproximate Price Collecting Network Design. Symposium for Discrete Mathematics, Berlin, Germany Invited?: Yes, Keynote?: Yes 8. (2015). Recent News for an old Steiner Tree Formulation. ALGO'15, Patras, Greece Invited?: Yes, Keynote?: Yes 9. (2015). Approximate Deadline Scheduling with Precedence Constraints. Invited Talk at workshop “Efficient algorithms in game theory, optimization and data science”, Aachen, Germany Invited?: Yes, Keynote?: No 10. (2015). Approximate Deadline Scheduling with Precedence Constraints.Invited talk at Workshop 'Discrepancy and Modern Roundings' at Bellairs centre, Holetown, Barbados Invited?: Yes, Keynote?: No 11. (2015). Recent News for an old Steiner Tree Formulation. Invited Talk at University of Michigan, Ann Arbor, United States Invited?: Yes, Keynote?: No 12. (2015). Approximate Deadline Scheduling with Precedence Constraints. Invited talk at ESA'15, Patras, Greece Invited?: Yes, Keynote?: No 13. (2015). Approximate Deadline Scheduling with Precedence Constraints. Invited talk at ISMP, Pittsburgh, United States Invited?: Yes, Keynote?: No 14. (2013). Diffusion and Node-Weighted Steiner Trees.Workshop on Combinatorial Optimization at Bellairs Centre, Holetown, Barbados Invited?: Yes, Keynote?: No 15. (2012). Stabilizing Unstable Instances of Network Bargaining. Workshop on Algorithmic Game Theory at Bellairs Centre, Holetown, Barbados Invited?: Yes, Keynote?: No 16. (2012). Structured Set-Cover via Geometric Sampling.Invited Talk at TU Berlin, Berlin, Germany Invited?: Yes, Keynote?: No 132 Professor Jochen Koenemann

17. (2011). LP Relaxations for Steiner Trees. Invited talk at McMaster University, Hamilton, Canada Invited?: Yes, Keynote?: No 18. (2011). Structured Set-Cover via Geometric Sampling.Workshop on Approximation Algorithms at the Banff Centre, Banff, Canada Invited?: Yes, Keynote?: No 19. (2011). LP Relaxations for Steiner Trees.Invited Talk at University of Miami, Miami, United States Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. J. Koenemann, K. Pashkovich*, J. Toth*. (2016). An Elementary Integrality Proof of Rothblum's Stable Matching Formulation. Operations Research Letters. Accepted Refereed?: Yes, Open Access?: Yes 2. A. E. Feldmann, J. Koenemann, N. Olver, L. Sanità. (2016). On the equivalence of the bidirected and hypergraphic relaxations for Steiner tree. Mathematical Programming. 160(1): 379-406. Published Refereed?: Yes, Open Access?: Yes 3. Linda Farczadi, Konstantinos Georgiou, Jochen Könemann. (2016). Stable Marriage with General Preferences. Theory of Computing Systems. 59(4) Published Refereed?: Yes, Open Access?: No 4. A. Abdi, A. E. Feldmann*, B. Guenin, J. Koenemann, and L. Sani a.(2016). Lehman’s theorem and the directed steiner tree problem.SIAM J. Discrete Math.30(1): 141-153. Published t̀ Refereed?: Yes, Open Access?: Yes 5. A. Gupta, J. Koenemann, S. Leonardi, R. Ravi, and G. Schaefer.(2015). Efficient cost-sharing mechanismsfor prize-collecting problems.Math. Program., Series A. 152(1-2): 147-188. Published Refereed?: Yes, Open Access?: Yes 6. A. Bock, K. Chandrasekaran, J. Koenemann, B. Peis, and L. Sanita.(2015). Finding small stabilizers for unstable graphs.Math. Program., Series A. 154(1-2): 173-196. Published Refereed?: Yes, Open Access?: Yes 7. J. Koenemann, K. Larson, and D. Steiner*.(2015). Network bargaining: Using approximate blocking sets tostabilize unstable instances.Theory Comput. Syst.57(3): 655-672. Published Refereed?: Yes, Open Access?: Yes 8. K. Georgiou*, G. Karakostas, J. Koenemann, and Z. Stamirowska.(2014). Social exchange networks with distant bargaining.Theoret. Comput. Sci.554: 263-274. Published 133 Professor Jochen Koenemann

Refereed?: Yes, Open Access?: Yes 9. J. Koenemann, O. Parekh, and D. Pritchard*.(2014). Multicommodity flow in trees: Packing via covering and iterated relaxation.Algorithmica. 68(3): 776-804. Published Refereed?: Yes, Open Access?: Yes 10. A. Bock, E. Grant*, J. Koenemann, and L. Sani a.(2013). The school bus problem on trees.Algorithmica. 67(1): 49-64. Published t̀ Refereed?: Yes, Open Access?: Yes 11. D. Chakrabarty*, J. Koenemann, and D. Pritchard*.(2013). Hypergraphic LP relaxations for Steiner trees.SIAM J. Discrete Math.27(1): 507-533. Published Refereed?: Yes, Open Access?: Yes 12. N. Bansal, R. Khandekar, J. Koenemann, V. Nagarajan, and B. Peis.(2013). On generalizations of networkdesign problems with degree bounds.Math. Programming, Series A. 141(1-2): 479-506. Published Refereed?: Yes, Open Access?: Yes 13. J. Koenemann, O. Parekh, and D. Segev. (2011). A unified approach to approximating partial covering problems.Algorithmica. 59(4): 489-509. Published Refereed?: Yes, Open Access?: Yes 14. J. Koenemann, D. Pritchard*, and K. Tan*. (2011). A partition-based relaxation for Steiner trees.Math. Program- ming, Series A. 127(2): 345-370. Published Refereed?: Yes, Open Access?: Yes Books

1. B. Guenin, J. Koenemann, and L. Tuncel.(2015). A Gentle Introduction to Optimization. Published, Cambridge University Press Refereed?: No

Conference Publications

1. Samuel Fiorini, Martin Gross, Jochen Koenemann, Laura Sanità. (2018). Approximating Weighted Tree Augmentation via Chvátal-Gomory Cuts. ACM-SIAM Symposium of Discrete Algorithms, (817-831) Paper Published Refereed?: Yes, Invited?: Yes 2. Jochen Koenemann, Neil Olver, Kanstantsin Pashkovich, R. Ravi, Chaitanya Swamy, Jens Vygen. (2017). On the Integrality Gap of the Prize-Collecting Steiner Forest LP. The 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, (1-17) Paper Published Refereed?: Yes, Invited?: Yes

134 Professor Jochen Koenemann

3. A. E. Feldmann*, J. Koenemann, K. Pashkovich*, L. Sanita. (2016). Fast Approximation Algorithms for the Generalized Survivable Network Design Problem. The 27th International Symposium on Algorithms and Computation (ISAC), Conference Date: 2016/12 Paper Accepted Refereed?: Yes, Invited?: Yes 4. Z. Friggstad, J. Koenemann, and M. Shadravan*. (2016). A logarithmic integrality gap bound for directed Steiner tree in quasi-bipartite graphs.Scandinavian Symposium and Workshops on Algorithm Theory (SWAT), (1-11) Conference Date: 2016/6 Paper Published Refereed?: Yes, Invited?: Yes 5. H. Efsandiari, M. T. Hajiaghayi, J. Koenemann, H. Mahini, D. L. Malec, and L. Sani a.(2015). Approximate deadline-scheduling with precedence constraints.European Symposium on Algorithms (ESA), (483-495) Conference Date: 2015/9 t̀ Paper Published Refereed?: Yes, Invited?: Yes 6. A.E. Feldmann*, W.S. Fung*, J. Koenemann, and I.Post*. (2015). -embedding of low highway dimension graphs into bounded treewidth graphs.International Colloquium on Automata, Languages, and Programming (ICALP), (469-480) A(1+ε) Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: Yes 7. L.Farczadi*, C.Georgiou*,and J.Koenemann.(2014). Stable marriage with general preferences.Symposium on Algorithmic Game Theory (SAGT), Conference Date: 2014/10 Paper Published Refereed?: Yes, Invited?: Yes 8. A. Feldmann*, J. Koenemann, N. Olver, and L. Sani a.(2014). On the equivalence of the bidirected and hyper-graphic relaxations for Steiner tree.Int. Workshop on Approx. Alg. for Comb. Opt. Problems (APPROX), t̀ Conference Date: 2014/8 Paper Published Refereed?: Yes, Invited?: Yes 9. A. Bock*, K. Chandrasekaran, J. Koenemann, B. Peis, and L. Sani a.(2014). Finding small stabilizers for unstable graphs. MPS Conference on Integer Programming and Combinatorial Optimization (IPCO), (150- 161) t̀ Conference Date: 2014/6 135 Professor Jochen Koenemann

Paper Published Refereed?: Yes, Invited?: Yes 10. Z. Friggstad*, J. Koenemann,Y. Kun-Ko,A. Louis, M. Shadravan*, and M. Tulsiani.(2014). Linear programming hierarchies suffice for directed Steiner tree.MPS Conference on Integer Programming and Combinatorial Optimization (IPCO), (285-296) Conference Date: 2014/6 Paper Published Refereed?: Yes, Invited?: Yes 11. J. Koenemann, S. Sadeghian Sadeghabad*, and L. Sani a. (2013). An lmp o(log n)-approximation algorithmfor node weighted prize collecting Steiner tree.IEEE Symposium on Foundations of Computer Science (FOCS), t̀ Conference Date: 2013/10 Paper Published Refereed?: Yes, Invited?: Yes 12. L. Farczadi*, K. Georgiou*, and J. Koenemann.(2013). Network bargaining with general capacities.European Symposium on Algorithms (ESA), (433-444) Conference Date: 2013/9 Paper Published Refereed?: Yes, Invited?: Yes 13. J. Koenemann, S. Sadeghian Sadeghabad*, and L. Sani a.(2013). Better approximation algorithms for technology diffusion.European Symposium on Algorithms (ESA), (637-646) Conference Date: 2013/9 Paper t̀ Published Refereed?: Yes, Invited?: Yes 14. K. Georgiou*, G. Karakostas, J. Koenemann, and Z. Stamirowska. (2013). Social exchange networks with distant bargaining.Int. Computing & Combinatorics Conf. (COCOON), (29-40) Conference Date: 2013/6 Paper Published Refereed?: Yes, Invited?: Yes 15. J. Koenemann, K. Larson, and D. Steiner*. (2012). Network bargaining: Using approximate blocking sets tostabilize unstable instances.Symposium on Algorithmic Game Theory (SAGT), Conference Date: 2012/10 Paper Published Refereed?: Yes, Invited?: Yes 16. T. Chan, E. Grant*, J. Koenemann, and M. Sharpe*. (2012). Weighted capacitated, priority, and geometric setcover via improved quasi-uniform sampling.ACM-SIAM Symposium on Discrete Algorithms (SODA), (1576-1585) Conference Date: 2012/1 Paper 136 Professor Jochen Koenemann

Published Refereed?: Yes, Invited?: Yes 17. A. Bock, E. Grant*, J. Koenemann, and L. Sani a. (2011). The school bus problem in trees.Int. Symp. on Algorithms and Computation (ISAC), (10-19) Conference Date: 2011/12 t̀ Paper Published Refereed?: Yes, Invited?: Yes

137 Dr. Kate Larson Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes No Yes Yes No

Degrees - 2004/8 Doctorate, Computer Science, Carnegie-Mellon University - 1999/12 Master's non-Thesis, Computer Science, Washington University in St. Louis - 1997/5 Bachelor's Honours, Mathematics, Memorial University of Newfoundland

Recognitions 2016/5 Outstanding Young Computer Science Researcher Prize – 2015 Canadian Association of Computer Science/Association informatique canadienne Prize / Award Awarded by the Canadian Association of Computer Science/Association informatique canadienne to top young computer science academic researchers within 10 years of finishing their Ph.D. 2015/5 University of Waterloo Outstanding Performance Award University of Waterloo Prize / Award Awarded to University of Waterloo faculty members for outstanding contribution in teaching and scholarship. 2012/7 - 2015/7 Cheriton Faculty Fellow University of Waterloo Distinction "The David R. Cheriton Faculty Fellowships are a prestigious form of recognition. The awards support the work of leading faculty in Computer Science with an emphasis on supporting research that addresses problems associated with designing and implementing efficient and reliable computing systems, along with their effective integration."

User Profile

Research Specialization Keywords: Artificial Intelligence, Multiagent Systems, Computational Social Choice, Algorithmic Game Theory, Reasoning Under Uncertainty

138 Dr. Kate Larson Employment 2017/7 Professor Cheriton School of Computer Science, University of Waterloo Full-time, Professor Tenure Status: Tenure 2009/7 - 2017/6 Associate Professor Cheriton School of Computer Science, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2012/1 - 2012/12 Invited Professor School of Computer and Communication Sciences, Ecole Polytechnique Federale de Lausanne Full-time, Visiting Professorship Tenure Status: Non Tenure Track I visited for my sabbatical. 2004/8 - 2009/7 Assistant Professor Cheriton School of Computer Science, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track Leaves of Absence and Impact on Research 2014/1 - 2014/12 Parental, University of Waterloo I was on maternity/parental leave. 2010/9 - 2011/8 Parental, University of Waterloo I was on parental leave. Research Funding History

Awarded [n=1] 2013/5 - 2018/5 NSERC Discovery Grant, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 150,000 Portion of Funding Received - 150,000 Funding Competitive?: Yes

Completed [n=1] 2011/9 - 2012/9 Sharing of Fire Fighting Resources, Grant Principal Applicant Funding Sources: Canadian Interagency Forest Fire Centre (CIFFC) Total Funding - 20,000 Portion of Funding Received - 20,000 Funding Competitive?: No Under Review [n=1] 2018/5 - 2023/4 Decision Making in Heterogeneous Multiagent Systems, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant 139 Dr. Kate Larson Total Funding - 511,194 Portion of Funding Received - 100 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Master’s Thesis [n=10] 2017/9 - 2019/5 Greg d'Eon (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/5 Thesis/Project Title: To be determined Present Position: Graduate Student, University of Waterloo 2017/9 - 2019/5 Louis Kuang (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/5 Thesis/Project Title: To be determined. Present Position: Graduate Student, University of Waterloo 2017/1 - 2019/5 Adam Schunk (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/5 Thesis/Project Title: Information Spread in Large Networks Present Position: Graduate Student, University of Waterloo 2016/9 - 2018/5 Ben Armstrong (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/5 Thesis/Project Title: Group Emergence in Multiagent Systems Present Position: Graduate Student, University of Waterloo 2015/1 - 2016/8 Vijay Menon (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Computational Aspects of Strategic Behaviour in Elections with TopTruncated Ballots Present Position: Graduate Student, University of Waterloo 2013/9 - 2016/8 Ankit Pat (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Towards Data-Leveraged Behavioural Policy Design for Alleviating Peak Electricity Demand Present Position: Senior Software Developer, Genesys 2013/9 - 2016/5 Shengying Pan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Dynamic Crowdsourcing Consensus Tasks with Workers That Can Learn Present Position: Software Engineer at Startup 2010/9 - 2011/12 Simina Branzei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Contributions to Network Formation and Matching Present Position: Postdoctoral Research Fellow, Hebrew University of Jerusalem 2009/9 - 2012/8 David Steiner (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Network Bargaining: Creating Stability Using Blocking Sets Present Position: Senior Software Engineer, Google 2009/9 - 2011/8 Yuxin Yu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Mechanisms for Dynamic Settings with Restricted Allocations Present Position: Software Engineer, Google Doctorate [n=7]

140 Dr. Kate Larson 2016/9 - 2020/8 Vijay Menon (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2020/8 Thesis/Project Title: Mechanism Design with Uncertain Preferences Present Position: Graduate Student, University of Waterloo 2016/9 - 2020/8 Mike Schaekermann (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2020/8 Thesis/Project Title: Ambiguity in Crowdsourcing Present Position: Graduate Student, University of Waterloo 2014/12 - 2017/5 Joanna Drummond (Completed) , University of Toronto Co-Supervisor Thesis/Project Title: Stable Matching with Generalized Preference Assumptions: Algorithmic and Incentive Compatibility Challenges Present Position: System on Chip Design Engineer, Intel 2013/9 - 2016/8 Hadi Hosseini (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Incentives in One-Sided Matching Problems with Ordinal Preferences Present Position: Assistant Professor, Rochester Institute of Technology 2011/9 - 2017/12 Alan Tsang (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/12 Thesis/Project Title: Strategic Voting and Social Networks Present Position: Graduate Student, University of Waterloo 2010/9 - 2014/8 Arthur Carvalho (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Advancements in the Elicitation and Aggregation of Private Information Present Position: Assistant Professor, Miami University 2008/9 - 2013/8 Lachlan Dufton (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stochastic Mechanisms for Truthfulness and Budget Balance in Computational Social Choice Present Position: Software Engineer, Google Post-doctorate [n=1] 2016/8 - 2017/8 Amirali Salehi-Abari (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Subjective Uncertain Preferences Present Position: Assistant Professor, University of Ontario Institute of Technology

Event Administration 2017/7 - 2018/5 Program Co-Chair, Graduate Student Symposium at the 2018 Canadian AI Conference, Conference, 2018/5 - 2018/5 2016/5 - 2017/5 General Co-Chair, Sixteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Conference, 2017/5 - 2017/5 2014/6 - 2015/1 Program Co-Chair, 2015 SIGAI Career Network and Conference, Conference, 2015/1 2015/1 2012/12 - 2013/11 Chair, 2013 Ontario Celebration of Women in Computing (ONCWIC 2013), Conference, 2013/11 - 2013/11

Organizational Review Activities 2017/6 - 2017/8 Site Visit Committee Member, NSERC Site Visit Committee Member for the NSERC Industrial Research Chair program.

141 Dr. Kate Larson Committee Memberships 2013/7 Committee Member, Editorial Board, Journal of Artificial Intelligence Research (JAIR) 2013/5 Committee Member, Editorial Board, Artificial Intelligence 2010/5 Committee Member, Editorial Board, Journal of Autonomous Agents and Multiagent Systems 2017/9 - 2018/7 Committee Member, Senior Program Committee for the 2018 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 2017/9 - 2018/2 Committee Member, Senior Program Committee for the 2018 AAAI Conference on Artificial Intelligence, AAAI 2018 2017/2 - 2017/8 Committee Member, Senior Program Committee for the International Joint Conference on Artificial Intelligence (IJCAI) (IJCAI 2017), IJCAI 2017 2016/9 - 2017/2 Committee Member, Senior Program Committee for Thirty-First AAAI Conference on Artificial Intelligence (AAAI 17), AAAI 2017 2016/2 - 2016/7 Committee Member, Senior Program Committee for the International Joint Conference on Artificial Intelligence (IJCAI 2016), IJCAI 2016 2016/2 - 2016/7 Committee Member, Senior Program Committee for the 17th ACM Conference on Economics and Computation, ACM EC 2016 2015/11 - 2016/5 Committee Member, Senior Program Committee for International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), AAMAS 2016 2010/5 - 2016/5 Committee Member, Board of Directors, International Foundation for Autonomous Agents and Multiagent Systems 2015/2 - 2015/7 Committee Member, Senior Program Committee for the International Joint Conference on Artificial Intelligence (IJCAI 2015), IJCAI 2015 2014/11 - 2015/5 Committee Member, Senior Program Committee International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), AAMAS 2015 2013/5 - 2015/5 Chair, Board of Directors, International Foundation for Autonomous Agents and Multiagent Systems 2011/7 - 2014/7 Committee Member, Association for the Advancement of Artificial Intelligence (AAAI), AAAI Elected Coucilor of the Association for the Advancement of Artificial Intelligence (AAAI) 2014/2 - 2014/6 Committee Member, Senior Program Committee for the 15th ACM Conference on Economics and Computation (EC 2014), ACM EC 2012 2013/2 - 2013/7 Committee Member, Senior Program Committee for the International Joint Conference on Artificial Intelligence (IJCAI 2013), IJCAI 2013 2011/10 - 2012/5 Committee Member, Senior Program Committee International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012), AAMAS 2012 2011/2 - 2011/7 Committee Member, Senior Program Committee for the International Joint Conference on Artificial Intelligence (IJCAI 2011), IJCAI 2011

Presentations 1. (2015). Voting and Social Networks. Invited Seminar, St. Louis, United States 142 Dr. Kate Larson Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2013). A Game-Theoretic Model for Resource Sharing for Wildfires. Banff International Research Station for Mathematical Innovation and Discovery (BIRS),Workshop on Managing Fire on Populated Forest Landscapes, Banff, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2013). Understanding Stability in Network Games. Economics Seminar Series, University of Windsor, Windsor, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2012). Graphs and Coalitions: Understanding Stability in Network Games. Joint Workshop on Trading Agent Design and Analysis and Agent-Mediated Electronic Commerce, Valencia, Spain Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2012). Social Distance Games. Dagstuhl Workshop on Computation and Incentives in Social Choice, Wadern, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2011). Social Distance Games. Waterloo Institute of Complexity and Innovation Seminar Series, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

Broadcast Interviews 2014/01/24 - Mind and Machine (Artificial Intelligence), Ideas, CBC 2014/01/24

Publications

Journal Articles

1. Carvalho A, Dimitrov S, Larson K. (2017). Inducing honest reporting of private information in the presence of social projection. Decision. 4(1): 25-51. Published Refereed?: Yes 2. Menon V*, Larson K. (2017). Computational aspects of strategic behaviour in elections with top-truncated ballots. Journal of Autonomous Agents and Multiagent Systems. 10.1007/s10458-017-9: 1-42. Published Refereed?: Yes, Open Access?: No 3. Carvalho A*, Dimitrov S, Larson K. (2016). How many crowdsourced workers should a requester hire?. Annals of Mathematics and Artificial Intelligence. 78(1): 45-72. Published Refereed?: Yes 4. Koenemann J, Larson K, Steiner D*. (2015). Network bargaining using approximate blocking sets to stabilize unstable instances. Theory of Computing Systems. 57(3): 655-672. Published 143 Dr. Kate Larson Refereed?: Yes 5. Carvalho A*, Dimitrov S, Larson K. (2014). The Output-Agreement Method Induces Honest Behavior in the Presence of Social Projection. SIGecom Exchanges. 13(1): 77-81. Published Refereed?: Yes, Open Access?: Yes 6. Macko M*, Larson K, Steskal L. (2013). Braess' Paradox for flows over time. Theory of Computing Systems. 53(1): 86-108. Published Refereed?: Yes 7. Carvalho A*, Larson K. (2012). Sharing rewards among strangers based on peer evaluations. Decision Analysis. 9(3): 253-273. Published Refereed?: Yes 8. Zhang J*, Cohen R, Larson K. (2012). Combining trust modelling and mechanism design for promoting honesty in e-marketplaces. Computational Intelligence. 28(4): 549-578. Published Refereed?: Yes 9. Rahwan I, Larson K. (2011). Logical Mechanism Design. Knowledge Engineering Review. 26(1): 61-69. Published Refereed?: Yes 10. Stein S, Gerding E, Rogers A, Larson K, Jennings N. (2011). Algorithms and mechanisms for procuring services with uncertain durations using redundancy. Artificial Intelligence. 175(14-15): 2021-2060. Published Refereed?: Yes

Conference Publications

1. Salehi-Abarai A, Larson K. (2017). Group Decision Making with Uncertain Subjective Preferences. AAAI Conference in Artificial Intelligence, Conference Date: 2018/2 Paper Submitted Refereed?: Yes, Invited?: No 2. Tsang A*, Salehi-Abari A, Kate Larson. (2017). Boundedly Rational Voters in Large(r) Networks. AAAI Conference on Artificial Intelligence, Conference Date: 2018/2 Paper Submitted Refereed?: Yes, Invited?: No 3. Menon V*, Larson K. (2017). Deterministic, Strategyproof, and Fair Cake Cutting. International Joint Conference on Artificial Intelligence (IJCAI 2017), Melbourne, Australia Conference Date: 2017/8 Paper Accepted Refereed?: Yes, Invited?: No

144 Dr. Kate Larson 4. Drummond J*, Lev O, Borodin A, Larson K. (2017). Natural Interviewing Equilibria in Matching Settings.EXPLORE-2017: The 4th Workshop on Exploring Beyond the Worst Case in Computational Social Choice, Sao Paulo, Brazil Conference Date: 2017/5 Paper Accepted Refereed?: Yes, Invited?: No 5. Armstrong* B, Larson K. (2017). Approval in the Echo Chamber. EXPLORE-2017: The 4th Workshop on Exploring Beyond the Worst Case in Computational Social Choice, Sao Paulo, Brazil Conference Date: 2017/5 Paper Accepted Refereed?: Yes, Invited?: No 6. Pan S*, Larson K, Bradshaw J, Law E. (2016). Dynamic Task Allocation Algorithm for Hiring Workers that Learn. Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI'16), New York, United States (3825-3831) Conference Date: 2016/7 Paper Published Refereed?: Yes, Invited?: No 7. Tsang A*, Larson K. (2016). The Echo Chamber: Strategic Voting and Homophily in Social Networks. Fifteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, Singapore (368-375) Conference Date: 2016/5 Paper Published Refereed?: Yes, Invited?: No 8. Hosseini H*, Larson K, Cohen R. (2016). Investigating the Characteristics of One-Sided Matching Mechanisms: (Extended Abstract). Fifteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, Singapore (1443-1444) Conference Date: 2016/5 Abstract Published Refereed?: Yes, Invited?: No 9. Pat A*, Larson K, Keshav S. (2016). Big-Data Mechanisms and Energy Policy Design. Thirtieth AAAI Conference on Artificial Intelligence (AAAI-2016), Phoenix, United States (3887-3893) Conference Date: 2016/2 Paper Published Refereed?: Yes, Invited?: No 10. Menon V*, Larson K. (2016). Reinstating Combinatorial Protections for Manipulation and Bribery in Single- Peaked and Nearly Single-Peaked Electorates. Thirtieth AAAI Conference on Artificial Intelligence (AAAI- 2016), Phoenix, United States (565-571) Conference Date: 2016/2 Paper Published

145 Dr. Kate Larson Refereed?: Yes, Invited?: No 11. Doucette J*, Larson K, Cohen R. (2015). Conventional Machine Learning for Social Choice. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, United States (858-864) Conference Date: 2015/1 Paper Published Refereed?: Yes, Invited?: No 12. Hosseini H*, Larson K, Cohen R. (2015). Matching with Dynamic Ordinal Preferences. Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, (936-943) Conference Date: 2015/1 Paper Accepted Refereed?: Yes, Invited?: No 13. Xu H*, Larson K. (2014). Improving the Efficiency of Crowdsourcing Contests. Thirteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), Paris, France (461-468) Conference Date: 2014/5 Paper Published Refereed?: Yes, Invited?: No 14. Tsang A*, Larson K. (2014). Opinion Dynamics of Skeptical Agents. Thirteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), Paris, France (277-284) Conference Date: 2014/5 Paper Published Refereed?: Yes, Invited?: No 15. Weingert M*, Larson K. (2013). TrailView: Combining Gamification and Voting Mechanisms for Useful Data Collection. First AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2013), Palm Springs, United States (80-81) Conference Date: 2013/11 Abstract Published Refereed?: Yes, Invited?: No 16. Carvalho A*, Larson K. (2013). A Consensual Linear Opinion Pool. Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, China (2518-2524) Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: No 17. Tsang A*, Larson K, McAlpine R. (2013). Resource Sharing for Control of Wildland Fires. Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2013), Bellevue, United States (1355-1361) Conference Date: 2013/7 Paper Published Refereed?: Yes, Invited?: No

146 Dr. Yuying Li Cheriton School of Computer Science

Language Skills Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 1988/9 Doctorate, Computer Science, University of Waterloo Supervisors: Andrew Conn, 1985/9 - 1988/8 - 1985/10 Master's Thesis, Computer Science, University of Waterloo Supervisors: Andrew Conn, 1983/9 - 1985/8

Recognitions 2017/5 - 2020/4 Marsland Faculty Fellow University of Waterloo Prize / Award The Marsland Fellowship in Information Technology provides a visible, enduring legacy for the Marsland family’s support of information technology at the University of Waterloo. The fellowship also provides a key element in supporting the expansion of the David R. Cheriton School of Computer Science. 2015/5 Outstanding Performance Award, Faculty of Math University of Waterloo Prize / Award Outstanding Performance Award for exceptional contributions to teaching and scholarship at the University of Waterloo. The award recognizes the top 10 per cent of the faculty at the university. 2011/4 - 2013/4 the 4th place in Heritage Provider Network Health Prize Competition Heritage Provider Network Inc Prize / Award Together with PhD student, A. Tayal and colleague, T.F. Coleman, we achieved the 4th place in Heritage Provider Network Health Prize Competition,a data mining competition which ran April 4, 2011 - April 4, 2013. User Profile

Research Specialization Keywords: Sci Computing, Optimization, Data mining, Finance Employment 2005/7 Professor Cheriton School of Computer Science, Mathematics/Cheriton School of Computer Science, University of Waterloo Full-time, Professor Tenure Status: Tenure

147 Dr. Yuying Li 2013/7 - 2015/6 Associate Dean, Graduate Studies, Faculty of Mathematics Computer Science, Mathematics/Cheriton School of Computer Science, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 2011/7 - 2013/6 Co-Director for Computing and Financial Management Cheriton School of Computer Science, Mathematics/Cheriton School of Computer Science, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 2008/7 - 2010/6 Director of Graduate Studies Cheriton School of Computer Science, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 2006/7 - 2008/6 Associate Director of Graduate Studies Cheriton School of Computer Science, Mathematics/Cheriton School of Computer Science, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 1995/7 - 2005/6 Senior Research Associate Computer Science, Engineering, Cornell University Full-time Tenure Status: Non Tenure Track 1988/7 - 1995/6 Research Associate Computer Science, Engineering, Cornell University Full-time Tenure Status: Non Tenure Track Research Funding History

Awarded [n=2] 2014/4 - 2019/3 Effective Computational Optimization in Data Mining and Financial Applications Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC Total Funding - 130,000 Portion of Funding Received - 26,000 Funding Competitive?: Yes 2009/5 - 2013/4 Optimization and Finance NSERC Discovery Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 95,000 Portion of Funding Received - 95,000 Funding Competitive?: Yes Completed [n=1]

148 Dr. Yuying Li 2010/1 - 2012/12 Optimal trading, hedging and investing Credit Suisse (New York) Co-investigator Funding Sources: Credit Suisse (New York) Total Funding - 75,000 Portion of Funding Received - 69,300 Funding Competitive?: Yes Co-investigator : Forsyth, P A; Heunis, A

Student/Postdoctoral Supervision Bachelor’s Honours [n=1] 2014/9 - 2014/12 Gan Lin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Comparing stability of CVaR optimization methods Present Position: MMath student in Waterloo

Master’s non-Thesis [n=4] 2017/9 - 2018/8 Beini Fan (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Kernel methods for dynamic hedging Present Position: MMath candidate 2014/5 - 2015/12 Yinuo Liu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Data mining methods for efficient valuation of large portfolio of variable annuities Present Position: unknown 2012/9 - 2013/8 Liu, Xichen (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Kernel function optimization for local volatility function Present Position: MMath Student 2012/9 - 2013/12 Yao, Xin (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: SVM based on similarity measures for categorical data Present Position: MMath Student Master’s Thesis [n=12] 2018/1 - 2019/12 Yingluo Xun (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: Reinforcement learning for dynamic trading strategies Present Position: MMath candidate 2018/1 - 2019/12 Chufeng Hu (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: Data analytics for long/short strategies Present Position: MMath candidate, Univ of Waterloo

2017/1 - 2018/12 Bo Wang (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/12 Thesis/Project Title: Deep Learning for Asset Return Modeling Present Position: MMath candidate 2015/5 - 2017/10 Colleen Kinrose (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Trust Region Methods for Training Neural Networks Present Position: unknown

149 Dr. Yuying Li 2014/1 - 2015/8 Victor Xu (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Theft detection in smart grid network Present Position: unknown 2012/9 - 2014/8 Nian, Ke (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Unsupervised outlier detections: an ensemble approach Present Position: MMath Student 2012/9 - 2014/12 Zhang, Haofan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Unsupervised outlier detections of auto insurance frauds Present Position: MMath Student 2012/9 - 2013/4 Wang, Yu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Portfolio optimization Present Position: MMath Student 2011/9 - 2012/8 Li, Zeyu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Optimal Execution Using Realized Volatility Present Position: Citigroup 2010/9 - 2013/12 Chow, Johnny (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stability analysis of a smooth CVaR optimization method Present Position: Numerix Canada LLC 2010/9 - 2012/8 Xi, Jiong (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Portfolio VaR Optimization Present Position: Google software engineer, CA 2009/9 - 2011/12 Wisebourt, Shaul (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Hierarchical Hidden Markov Model of High-Frequency Market Present Position: Canada Pension Plan Investment Board

Doctorate [n=4] 2014/9 - 2019/8 Ke Nian (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/8 Thesis/Project Title: Data Mining Algorithms for Time Series Data Present Position: Ph D candidate 2013/9 - 2019/12 Cheung, Edward (In Progress) , Waterloo Co-Supervisor Thesis/Project Title: Semi-supervised Learning Present Position: Doctoral Candidate 2010/9 - 2014/4 Tayal, Aditya (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Nonconvex Optimization for Data Mining Present Position: PhD Candidate 2006/9 - 2012/12 Moazeni, Somayeh (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Optimal Execution Cost Problem Present Position: Postdoc at Princeton University

Editorial Activities 2015/1 - 2018/12 Associate Editor, Journal of Finance and Data Science, Journal 2008/1 - 2018/12 Associate Editor, Journal of Computational Finance, Journal

150 Dr. Yuying Li Organizational Review Activities 2017/4 - 2017/4 Reviewer, Natural Sciences and Engineering Research Council of Canada (NSERC) evaluation of a NSERC CRD research proposal

Presentations 1. None. (2016). Kernel Methods for Supervised and Unsupervised Learning. Masterclass, 2016 Institute of Advanced Studies, Perth, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 2. Aditya Tayal and Tom Coleman. (2016). RankRC for Learning from Unbalanced Data. INFORMS Optimization Society Conference, Princeton, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 3. K Nian and T.F. Coleman. (2016). Learning Optimal Local Risk Hedging Directly from Market. SIAN Financial Mathematics Conference, Austin, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 4. None. (2016). Data Learning Approach for Financial Analysis and Modeling. Special short course, Amsterdam, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2016). A Data Mining Optimization Approach for Financial Valuation and Risk Management. Fields Institute Workshop on Nonlinear Optimization Algorithms and Industrial Applications, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2015). Optimal Data Driven Model for Financial Valuation and Risk Management. Fields Institute Lecture, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 7. T. F. Coleman. (2014). A Graduated Nonconvex Regularization for Sparse High Dimensional Model Estimation. AIDM, Wuhan, China Main Audience: Researcher Invited?: No, Keynote?: No 8. (2014). Unbalanced Learning from RankRC and Bounding the difference from RankSVM. Wuhan University, Wuhan, China Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2014). Data Mining in insurance industry. SouthWestern University of Finance and Economics, Chengdu, China Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2013). Preservation of Scalarization Optimal Points in MV Optimization. EURO-INFORMS, Rome, Italy Invited?: Yes, Keynote?: No 11. (2013). A Gradual Non-convexation method for minimizing VaR. Euro-Informs, Rome, Italy 151

Dr. Yuying Li Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2012). Market Impact and Robust Optimal Trade Execution. Research Seminar, HKUST, Hong Kong, Hong Kong Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Kai Zheng and Yuying Li. (2018). Spectral Clustering for HMM Estimation. Annals of Operation Research. Submitted Refereed?: Yes, Open Access?: Yes 2. K. Nian,T.F. Coleman and Y. Li. (2018). Learning Minimum Variance Discrete Hedging from Market. Journal of Quantitative Finance. Accepted Refereed?: Yes, Open Access?: Yes 3. Aditya Tayal, Thomas Coleman and Y. Li. (2017). Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking. Data Mining and Knowledge Discovery. Accepted Refereed?: Yes, Open Access?: Yes 4. Moazeni S, Coleman T F, Li Y. (2016). Smoothing and Parametric Rules for Stochastic Mean-CVaR Optimal Execution Strategy. Annals of Operations Research. 237(1-2): 99-120. Published Refereed?: Yes, Open Access?: Yes 5. K Nian, H Zhang, A Tayal, T Coleman, Y Li. (2016). Auto Insurance Fraud Detection Using Unsupervised Spectral Ranking for Anomaly. Journal of Finance and Data Science. 2(1): 58-75. Published Refereed?: Yes, Open Access?: Yes 6. Duy-Minh Dang, Peter A. Forsyth and Yuying Li. (2016). Convergence of the Embedded Mean Variance Optimal Points with Discrete Sampling. Numerische Mathematik. 132(2): 271-302. Published Refereed?: Yes, Open Access?: Yes 7. A. Tayal, T.F. Coleman and Y. Li. (2015). RankRC: Large-scale Nonlinear Rare Class Ranking. IEEE Transactions on Knowledge and Data Engineering. 27: 3347-3359. Published Refereed?: Yes, Open Access?: Yes 8. Tayal A*, Coleman T F, Li Y. (2014). Primal Explicit Max Margin Feature Selection for Nonlinear Support Vector Machines. J. Pattern Recognition. 47(6): 2153--2164. Published Refereed?: Yes 9. Tayal A., Coleman T. F., Li, Y.(2014). Bounding the difference Between RankRC and RankSVM and Application to Multi-Level Rare Class Kernel Ranking. Machine Learning Research. Submitted Refereed?: Yes

152 Dr. Yuying Li 10. Xi J., Coleman T. F., Li Y. and Tayal A.(2014). A Gradual Nonconvexification Method for Minimizing VaR. Journal of Risk. 26(3): 23--47. Published Refereed?: Yes, Open Access?: Yes 11. Tse S*, Forsyth P, Li Y. (2014). Preservation of Scalarization Optimal Points in the Embedding Technique for Continuous Time Mean Variance Optimization. SIAM Journal on Control and Optimization. 52(3): 1527--1546. Published Refereed?: Yes 12. Moazeni S*, Coleman T. F., Li Y. (2013). Regularized Robust Optimization: The Optimal Portfolio Execution Case. Journal of Computational Optimization and Applications. 55(2): 341--377. Published Refereed?: Yes 13. Coleman T F, Li Y, Wang C*. (2013). Stable Local Volatility Calibration Using Kernel Splines. Journal of Computational Optimization and Applications. 55(3): 675-702. Published Refereed?: Yes, Open Access?: Yes 14. Moazeni S*, Coleman T F, Li Y. (2013). Optimal Execution Under Jump Models for Uncertain Price Impact. Journal of Computational Finance. 16(4): 35-78. Published Refereed?: Yes, Open Access?: Yes 15. Xu D, Li Y. (2012). Empirical Evidence of Leverage Effect in a Stochastic Volatility Model: a Realized Volatility Approach. Frontiers of Economics in China. 7: 22-43. Published Refereed?: Yes, Open Access?: Yes

Reports

1. Peter Forsyth, Yuying Li, and Kenneth Vetzal. (2016). Are target date funds dinosaurs? Failure to adapt can lead to extinction. 8. University of Waterloo

Conference Publications

1. Eddie Cheung and Yuying Li. (2018). Nonsmooth FrankWolfe using Uniform Affine Approximations. AISTATS, Paper Submitted Refereed?: Yes, Invited?: No 2. Eddie Cheung and Yuying Li. (2017). Projection Free Rank Drop Steps. IJCAI. International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia Conference Date: 2017/8 Paper Published Refereed?: Yes, Invited?: No

153 Dr. Yuying Li 3. Eddie Cheung and Yuying Li. (2017). Self-training with adaptive regularization for S3VM. Neural Netowroks (IJCNN). International Joint Conference on Neural Netowroks (IJCNN), Alaska, United States (3633-3640) Conference Date: 2017/5 Paper Published Refereed?: Yes, Invited?: No 4. Tayal A*, Poupart P*, Li Y. (2012). Hierarchical Double Dirichlet Process Mixture of Gaussian Processes. Twenty-Sixth AAAI Conference on Artificial Intelligence, Toronto, Canada Conference Date: 2012/7 Paper Published Refereed?: Yes, Invited?: No

154 Professor Jimmy Lin Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes Degrees - 2004/8 Doctorate, Electrical Engineering and Computer Science, Massachusetts Institute of Technology - 2001/2 Master's Thesis, Electrical Engineering and Computer Science, Massachusetts Institute of TT Technology - 2000/2 Bachelor's, Electrical Engineering and Computer Science, Massachusetts Institute of Technology

Recognitions 2014/4 - 2014/4 Winner of the 2014 University System of Maryland (USM) Regents' Faculty Award for Research, Scholarship, Creative Activity University of Maryland at College Park Prize / Award Highest award given to faculty across the entire University System of Maryland 2009/9 - 2013/9 University of Maryland Research Leader (2009-2010, 2013) University of Maryland at College Park Distinction Exceptional external sponsored research funding

User Profile

Research Specialization Keywords: information retrieval, big data

Employment 2015/8 Professor and David R. Cheriton Chair School of Computer Science, Faculty of Mathematics, University of Waterloo Full-time, Term, Professor Tenure Status: Tenure 2012/8 - 2015/8 Associate Dean for Research College of Information Studies, University of Maryland at College Park Full-time, Term, Associate Professor Tenure Status: Tenure

155 Professor Jimmy Lin 2009/8 - 2015/8 Affiliate Associate Professor Institute for Advanced Computer Studies, University of Maryland at College Park Full- time, Term, Associate Professor Tenure Status: Tenure 2009/8 - 2015/8 Affiliate Associate Professor Computer Science, University of Maryland at College Park Full-time, Term, Associate Professor Tenure Status: Tenure 2009/8 - 2015/8 Associate Professor College of Information Studies, University of Maryland at College Park Full-time, Term, Associate Professor Tenure Status: Tenure 2013/6 - 2013/8 Visiting Researcher Centrum Wiskunde & Informatica 2010/6 - 2012/8 Research Scientist Twitter 2006/7 - 2009/8 Affiliate Assistant Professor Computer Science, University of Maryland at College Park Full-time, Term, Assistant Professor Tenure Status: Tenure Track 2004/10 - 2009/8 Affiliate Assistant Professor Institute for Advanced Computer Studies, University of Maryland at College Park Full-time, Term, Assistant Professor Tenure Status: Tenure Track 2004/8 - 2009/8 Assistant Professor College of Information Studies, University of Maryland at College Park Full-time, Term, Assistant Professor Tenure Status: Tenure Track 2007/6 - 2009/6 Visiting Scientist National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health 2006/6 - 2006/8 Visiting Scientist National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health 2005/6 - 2005/8 Visiting Scientist Lister Hill National Center for Biomedical Communications, National Library of Medicine (NLM), National Institutes of Health 1997/9 - 2004/8 Research Assistant Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology 2001/6 - 2001/8 Summer Intern Microsoft Research 1999/6 - 1999/8 Summer Intern IBM Watson Research Center,Yorktown

156 Professor Jimmy Lin 1998/1 - 1998/5 Research Assistant Media Lab, Massachusetts Institute of Technology Leaves of Absence and Impact on Research 2011/9 - 2012/8 Special, University of Maryland at College Park Leave of absence at Twitter. From 2010 to 2012, I was away from the University of Maryland working at Twitter full-time as a Research Scientist, first on sabbatical and then on a leave of absence. This had both positive and negative impacts on research. Positives: I gained invaluable experience working in a production environment tackling real-world problems, where I had the opportunity to help build products used by hundreds of millions of users and infrastructure that manages tens of petabytes of data. Working at Twitter greatly broadened my research and resulted in numerous publications: conference papers 13, 15, 16, 25, 37, 42, 43, 45, 50, 51, 55, 56, 58, 59, 61, 63, 68. Negatives: During the time I was away, I continued to supervise existing students, but did not take on any additional supervisory responsibility for new students. Thus, my direct impact on highly qualified personnel in the university context is lower than it would have been had I remained at the university. 2010/6 - 2011/8 Sabbatical, University of Maryland at College Park Sabbatical at Twitter Research Funding History Awarded [n=8] 2015/8 - 9999/12 Start-up package, Research Chair Principal Investigator Funding Sources: University of Waterloo David R. Cheriton endowment Total Funding - 80,000 Portion of Funding Received - 80,000 Funding Competitive?: No University of Waterloo Start-up funds Total Funding - 80,000 Portion of Funding Received - 80,000 Funding Competitive?: No 2014/8 - 2017/7 II-EN: Hadoop NextGen Infrastructure for Heterogeneous Approaches to Data-Intensive Principal Investigator Computing, Grant Funding Sources: National Science Foundation (USA) Total Funding - 499,852 Portion of Funding Received - 499,852 Funding Competitive?: Yes 2012/9 - 2016/9 III: Small: Providing Relevant and Timely Results: Real-Time Search Architectures and Principal Investigator Relevance Algorithms, Grant Funding Sources: National Science Foundation (USA) Total Funding - 499,960 Portion of Funding Received - 499,960 Funding Competitive?: Yes

157 Professor Jimmy Lin 2013/6 - 2016/5 Curate Cloud: Building Digital Curation Excellence through Professional Education, Cloud Principal Investigator Computing and Community Outreach, Grant Funding Sources: Institute of Museum and Library Services Total Funding - 299,730 Portion of Funding Received - 299,730 Funding Competitive?: Yes 2015/10 - 2016/3 Unlock your Web Archives Hackathon, Grant Co-applicant Funding Sources: Social Sciences and Humanities Research Council of Canada (SSHRC) Connection Grant Total Funding - 23,715 Portion of Funding Received - 0 Funding Competitive?: Yes 2015/4 - 2016/3 Prototyping Search and Analytics for the Web in a Box, Grant Principal Investigator Funding Sources: Laboratory for Telecommunication Sciences Total Funding - 123,832 Portion of Funding Received - 123,832 Funding Competitive?: No 2014/1 - 2016/1 AWS in Education Research Grant Award, Grant Principal Investigator Funding Sources: Amazon Web Service (AWS) Total Funding - 15,000 Portion of Funding Received - 15,000 Funding Competitive?: Yes 2014/4 - 2015/11 Warcbase: Building a Scalable Web Archiving Platform on HBase and Hadoop, Grant Principal Investigator Funding Sources: Andrew W. Mellon Foundation Total Funding - 51,925 Portion of Funding Received - 51,925 Funding Competitive?: Yes

Completed [n=15] 2014/6 - 2015/5 Student Travel Support for the 2014 IEEE International Conference on Big Data, Grant Principal Investigator Funding Sources: National Science Foundation (USA) Total Funding - 20,000 Portion of Funding Received - 20,000 Funding Competitive?: No

158 Professor Jimmy Lin 2011/10 - 2015/3 Evaluation and Translation Techniques in Support of DARPA BOLT Program Activity A, Co-investigator Grant Funding Sources: Defense Advanced Research Project Agency (The) Total Funding - 1,966,776 Portion of Funding Received - 255,000 Funding Competitive?: Yes Co-investigator : Daume, Hal; Lin, Jimmy; Resnik, Philip; Principal Investigator : Oard, Douglas 2011/9 - 2014/8 EAGER: Learning to Efficiently Rank with Cascades, Grant

Principal Investigator Funding Sources: National Science Foundation (USA) Total Funding - 150,000 Portion of Funding Received - 150,000 Funding Competitive?: Yes 2010/9 - 2014/8 DC: Small: Cross-Language Bayesian Models for Web-Scale Text Analysis Using Principal Investigator MapReduce, Grant Funding Sources: National Science Foundation (USA) Total Funding - 449,953 Portion of Funding Received - 149,984 Funding Competitive?: Yes Co-investigator : Boyd-Graber, Jordan; Resnik, Philip 2013/10 - 2013/10 Y! STAR (Yahoo! Servers To Academic Researchers), Grant Principal Investigator Funding Sources: Yahoo! Total Funding - 17,000 Portion of Funding Received - 17,000 Funding Competitive?: No 2009/10 - 2013/9 III: Small: Ivory—A Hadoop Toolkit for Distributed Text Retrieval, Grant Principal Investigator Funding Sources: National Science Foundation (USA) Total Funding - 499,662 Portion of Funding Received - 499,662 Funding Competitive?: Yes 2009/6 - 2011/5 IC Postdoctoral Research Fellowship, Grant Principal Investigator Funding Sources: Intelligence Community Total Funding - 240,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes Co-investigator : Oard, Douglas

159 Professor Jimmy Lin 2007/9 - 2010/9 III-COR: iOPENER—A Flexible Framework to Support Rapid Learning in Co-investigator Unfamiliar Research Domains, Grant Funding Sources: National Science Foundation (USA) Total Funding - 720,000 Portion of Funding Received - 133,500 Funding Competitive?: Yes Co-investigator : Klavans, Judith; Shneiderman, Ben; Principal Investigator : Dorr, Bonnie 2009/10 - 2010/9 2009 PI Meeting for the Cluster Exploratory Program, Grant Principal Investigator Funding Sources: National Science Foundation (USA) Total Funding - 49,991 Portion of Funding Received - 49,991 Funding Competitive?: No

2005/9 - 2010/8 Rosetta: An Analyst Copilot, GALE (Global Autonomous Language Exploitation), Grant Co-investigator Funding Sources: Defense Advanced Research Project Agency (The) Total Funding - 2,594,031 Portion of Funding Received - 52,553 Funding Competitive?: Yes Co-investigator : Dorr, Bonnie; Resnik, Phillip; Weinberg, Amy; Principal Investigator : Oard, Douglas 2008/8 - 2010/7 Putting the Clouds in Context: Statistical Machine Translation with MapReduce, Grant Principal Investigator Funding Sources: National Science Foundation (USA) Total Funding - 200,000 Portion of Funding Received - 200,000 Funding Competitive?: Yes Co-investigator : Resnik, Phillip 2007/8 - 2010/7 Google/IBM Academic Cloud Computing Initiative, Grant Principal Investigator Funding Sources: Google and IBM Total Funding - 0 Portion of Funding Received - 0 Funding Competitive?: Yes 2009/10 - 2009/10 IBM Faculty Award, Grant Principal Investigator Funding Sources: IBM Corporation, USA Total Funding - 25,000 Portion of Funding Received - 25,000 Funding Competitive?: No

160 Professor Jimmy Lin 2006/9 - 2009/9 DHB: A Computational Approach to Understanding the Dynamics of the Judicial System, Co-investigator Grant Funding Sources: National Science Foundation (USA) Total Funding - 749,996 Portion of Funding Received - 348,142 Funding Competitive?: Yes Principal Investigator : Mclntosh, Wayne 2008/6 - 2009/5 National Library of Medicine (NLM) National Center for Biotechnology Information Principal Investigator (NCBI) Faculty Fellowship, Grant Funding Sources: National Library of Medicine Total Funding - 88,947 Portion of Funding Received - 88,947 Funding Competitive?: No

Under Review [n=2] 2016/4 - 2021/3 Modeling Time, Space, and Networks for Effective and Efficient Information Retrieval, Principal Applicant Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 410,280 Portion of Funding Received - 410,280 Funding Competitive?: Yes 2016/1 - 2017/12 Online Motif Detection in Large Dynamic Graphs, Grant Principal Applicant Funding Sources: Huawei HIRP FLAGSHIP Total Funding - 298,441 Portion of Funding Received - 298,441 Funding Competitive?: Yes Student/Postdoctoral Supervision

Bachelor’s [n=1] 2015/9 - 2015/12 Alice Zhou (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Undergraduate Research Assistantship (URA) on Infrastructure for Supporting Analysis on Web Archives

Master’s Thesis [n=1] 2007/5 - 2009/12 Hawes, Tim (Completed) , University of Maryland Principal Supervisor Thesis/Project Title: Computational Analysis of the Conversational Dynamics of the United States Supreme Court

Doctorate [n=7]

161 Professor Jimmy Lin 2013/11 - 2017/6 Rao, Jinfeng (In Progress) , University of Maryland Principal Supervisor Thesis/Project Title: TBD 2013/9 - 2016/12 Wang, Yulu (In Progress) , University of Maryland Principal Supervisor Student Degree Expected Date: 2016/12 Thesis/Project Title: Selective Search Architectures and Brute Force Scan Techniques for Summarizing Social Media Posts 2012/8 - 2016/8 He, Hua (In Progress) , University of Maryland Principal Supervisor Student Degree Expected Date: 2016/8 Thesis/Project Title: Architecture, Models, and Algorithms for Textual Similarity 2012/6 - 2014/12 Kayyorr, Ashwin (Completed) , University of Maryland Co-Supervisor Thesis/Project Title: Minimizing Resource Consumption through Workload Consolidation in Large-Scale Distributed Data Platforms 2010/1 - 2013/8 Asadi, Nima (Completed) , University of Maryland Principal Supervisor Thesis/Project Title: Multi-Stage Search Architectures for Streaming Documents 2009/9 - 2012/8 Wang, Lidan (Completed) , University of Maryland Principal Supervisor Thesis/Project Title: Learning to Efficiently Rank 2009/1 - 2013/8 Ture, Ferhan (Completed) , University of Maryland Principal Supervisor Thesis/Project Title: Searching to Translate and Translating to Search: When Information Retrieval Meets Machine Translation Post-doctorate [n=3] 2015/4 - 2016/2 Paik, Jiaul, University of Maryland Principal Supervisor Thesis/Project Title: N/A 2010/7 - 2012/9 Wagner, Earl, University of Maryland Co-Supervisor Thesis/Project Title: N/A 2009/9 - 2010/8 Elayed, Tamer, University of Maryland Principal Supervisor Thesis/Project Title: N/A Event Administration 2016/1 - 2016/12 Co-organizer, TREC 2016 Real-Time Summarization track, Workshop, 2016/11 - 2016/11 2015/6 - 2016/7 Demonstrations Co-Chair, The 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Conference, 2016/7 - 2016/7 2015/1 - 2015/12 Co-organizer, TREC 2015 Microblog track, Workshop, 2015/11 - 2015/11 2014/6 - 2015/5 Program Co-Chair, BigData Innovators Gathering (BIG) 2015, Workshop, 2015/5 - 2015/5 2014/1 - 2014/12 Co-organizer, TREC 2014 Microblog track, Workshop, 2014/11 - 2014/11 2013/8 - 2014/10 Program Co-Chair, The 2014 IEEE International Conference on Big Data, Conference, 2014/10 - 2014/10 2013/5 - 2014/2 Practice and Experience Talks Chair, The Seventh International Conference on Web Search and Data Mining, Conference, 2014/2 - 2014/2 2013/1 - 2013/12 Co-organizer, TREC 2013 Microblog track, Workshop, 2013/11 - 2013/11 2012/10 - 2013/6 Tutorial Co-Chair, The 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Conference, 2013/6 2013/6 2012/1 - 2012/12 Co-organizer, TREC 2012 Microblog track, Workshop, 2012/11 - 2012/11 2011/1 - 2011/12 Co-organizer, TREC 2011 Microblog track, Workshop, 2011/11 - 2011/11 162 Professor Jimmy Lin 2009/1 - 2009/11 Program Co-Chair, The 18th ACM Conference on Information and Knowledge Management, Conference, 2009/11 - 2009/11 Editorial Activities 2015/1 - 9999/12 Founding Co-Editor-in-Chief, Foundation and Trends in Social Media, Journal 2015/1 - 9999/12 Associate Editor, IEEE Transactions on Big Data, Journal 2014/1 - 9999/12 Member, Editorial Board, Foundations and Trends in Information Retrieval, Journal 2014/11 - 2016/6 Member, Standing Review Committee, Transactions of the Association for Computational Linguistics, Journal 2009/6 - 2011/6 Guest Editor, Special Issue of the Journal of Parallel and Distributed Computing on Cloud Computing, Journal 2008/1 - 2010/12 Member, Editorial Board, Information Retrieval Journal, Journal International Collaboration Activities 2013/5 - 2013/8 Visiting Researcher, Netherlands Collaboration with Arjen de Vries at Centrum Wiskunde & Informatica Committee Memberships 2016/1 - 2016/12 Committee Member, Program Committee, VLDB 2016, WSDM 2016, ICWSM 2016 2015/1 - 2015/12 Committee Member, Program Committee, SIGIR 2015, WSDM 2015, ICWSM 2015 2014/1 - 2014/12 Committee Member, Program Committee, SIGIR 2014, ICWSM 2014, ECIR 2014, WWW 2014, BigData Innovators Gathering 2014, KDD 2014, CIKM 2014 2013/1 - 2013/12 Committee Member, Program Committee, SIGIR 2013, KDD 2013, ICWSM 2013, NAACL/ HLT 2013 2010/1 - 2010/12 Committee Member, Program Committee, SIGIR 2010 2009/1 - 2009/12 Committee Member, Program Committee, SIGIR 2009, NAACL/HLT 2009, EACL 2009 Presentations 1. (2015). Warcbase: Building a Scalable Web Archiving Platform on Hadoop and HBase. International Internet Preservation Consortium (IIPC) 2015 General Assembly, Stanford, California, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 2. (2015). Lessons Learned From Building Big Data Systems at Twitter. Keynote at the Scottish Informatics & Computer Science Alliance 2015 PhD Conference, Glasglow, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: Yes 3. (2015). Building Effective and Efficient Information Retrieval Systems. University of Edinburgh, Edinburgh, United Kingdom Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2015). Infrastructure for Supporting Exploration and Discovery in Web Archives. Archival Education and Research Institute, College Park, Maryland, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2015). Building Effective and Efficient Information Retrieval Systems. University of Glasgow, Glasglow, United Kingdom 163 Professor Jimmy Lin Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2015). The Evolution of WTF: Follower Recommendation Services at Twitter. University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2015). Warcbase: Building a Scalable Web Archiving Platform on Hadoop and HBase. Columbia University, New York, New York, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 8. (2015). Warcbase: Building a Scalable Web Archiving Platform on Hadoop and HBase. HBaseCon 2015, San Francisco, California, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 9. (2015). Effective and Efficient Information Access Systems for Making Sense of Big Data. NYU Poly, New York, New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2015). Computational Journalism Research using Twitter in Maryland's CLIP Lab. University of Maryland, Center for the Advanced Study of Communities and Information, College Park, Maryland, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2015). Effective and Efficient Information Access Systems for Making Sense of Big Data. University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2015). Dogma and Heresy in Information Retrieval. 2015 Cheriton Research Symposium, David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2014). Making Sense of Big Data. University of Michigan, Ann Arbor, Michigan, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2014). Infrastructure for Supporting Exploration and Discovery in Web Archives. Society of American Archivists, Washington, D.C., United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 15. (2014). The Evolution of WTF: Follower Recommendation Services at Twitter. NYU Poly, New York, New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2014). Scaling Big Data Mining Infrastructure: The Twitter Experience. Sydney Big Data Meetup, Sydney, Australia Main Audience: Knowledge User 164 Professor Jimmy Lin Invited?: Yes, Keynote?: No 17. (2014). Scaling Big Data Mining Infrastructure: The Twitter Experience. Keynote at KDD 2014 Workshop on Big Data, Streams and Heterogeneous Source Mining, New York, New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 18. (2014). Infrastructure for Supporting Exploration and Discovery in Web Archives. Working with Internet Archives for Research (WIRE) Workshop, Boston, Massachusetts, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). Infrastructure for Supporting Exploration and Discovery in Web Archives. Digital Preservation 2014, Washington, D.C., United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 20. (2014). Tackling Complex Problems with NLP, Big Data, and Visualization. Keynote at ACL 2014 Workshop on Interactive Language Learning, Visualization, and Interfaces, Baltimore, Maryland, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 21. (2014). The Evolution of WTF: Follower Recommendation Services at Twitter. Invited talk at SIGIR Symposium on IR in Practice 2014 (SIRIP 2014), Gold Coast, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 22. (2014). The Evolution of WTF: Follower Recommendation Services at Twitter. University of Maryland, Computational Linguistics and Information Processing Lab, College Park, Maryland, United States Main Audience: Researcher Invited?: No, Keynote?: No 23. (2014). The Evolution of WTF: Follower Recommendation Services at Twitter. Technische Universiteit Delft, Delft, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 24. (2014). Making Sense of Big Data. University of California at Berkeley, Berkeley, California, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2013). Scaling Big Data Mining Infrastructure: The Twitter Experience. Data Science DC Meetup, Washington, D.C., United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 26. (2013). Real-Time Search at Twitter. Hasso-Plattner-Institut, University of Potsdam, Potsdam, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2013). Scaling Big Data Mining Infrastructure: The Twitter Experience. NYU Poly, New York, New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 165 Professor Jimmy Lin 28. (2013). Scaling Big Data Mining Infrastructure: The Twitter Experience. Living Social Inc., Washington, D.C., United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 29. (2013). HBase and Warcbase. SCAPE Hackathon, Vienna, Austria Main Audience: Knowledge User Invited?: Yes, Keynote?: No 30. (2013). Overview of Graph Processing at Twitter. Recommender Systems Meetup, Amsterdam, Netherlands Main Audience: Knowledge User Invited?: Yes, Keynote?: No 31. (2013). Real-Time Search at Twitter. Gavagai AB, Stockholm, Sweden Main Audience: Knowledge User Invited?: Yes, Keynote?: No 32. (2013). Real-Time Search at Twitter. Technische Universitat Berlin, Berlin, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 33. (2013). Scaling Big Data Mining Infrastructure: The Twitter Experience. Belgian Big Data Meetup, Ghent, Belgium Main Audience: Knowledge User Invited?: Yes, Keynote?: No 34. (2013). Real-Time Search at Twitter. Universiteit van Amsterdam, Amsterdam, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 35. (2013). Overview of Graph Processing at Twitter. The Netherlands Hadoop Users Group (NL HUG), Amsterdam, Netherlands Main Audience: Knowledge User Invited?: Yes, Keynote?: No 36. (2013). Hadoop/MapReduce as a Platform for Data-Intensive Computing. Lawrence Livermore National Laboratory, Livermore, California, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 37. (2013). Scaling Big Data Mining Infrastructure: The Twitter Experience. 2013 Hadoop Summit Europe, Amsterdam, Netherlands Main Audience: Knowledge User Invited?: Yes, Keynote?: No 38. (2013). Real-Time Search Infrastructure at Twitter. Invited talk at the ECIR 2013 Industry Day, Moscow, Russian Federation Main Audience: Researcher Invited?: Yes, Keynote?: No 39. (2013). Real-Time Search at Twitter. Technische Universiteit Delft, Delft, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 40. (2013). Overview of Graph Processing at Twitter. plista GmbH, Berlin, Germany 166 Professor Jimmy Lin Main Audience: Knowledge User Invited?: Yes, Keynote?: No 41. (2012). Hadoop/MapReduce as a Platform for Data-Intensive Computing. Laboratory for Telecommunications Sciences, College Park, Maryland, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 42. (2012). Infrastructure and Challenges for Real-Time Discovery at Twitter. Keynote at the ICWSM 2012 Workshop on Real-Time Analysis and Mining of Social Streams, Dublin, Ireland Main Audience: Researcher Invited?: Yes, Keynote?: Yes 43. (2012). Graph Processing at Twitter: User Recommendations and Personalization. Keynote at the VLDB 2012 Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, Istanbul, Turkey Main Audience: Researcher Invited?: Yes, Keynote?: Yes 44. (2012). Flexibility without Anarchy: Analytics Infrastructure at Twitter. Keynote at the SIGMOD 2012 Workshop on Scalable Workflow Enactment Engines and Technologies (SWEET’12), Scottsdale, Arizona, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 45. (2012). Big Data Genomics. Molecular Med Tri-Con 2013, San Francisco, California, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 46. (2012). Overview of the Analytics Stack at Twitter. University of California at Irvine, Irvine, California, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 47. (2012). Training a Smarter Pig: Large-Scale Machine Learning at Twitter. 2012 Hadoop Summit, San Jose, California, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 48. (2012). Graph Processing at Twitter. Keynote at the SIGMOD 2012 Workshop on Databases and Social Networks (DBSocial 2012), Scottsdale, Arizona, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 49. (2012). Twitter: Discovering the Global Conversation. University of California at Irvine, Irvine, California, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 50. (2011). Clouds, Maryland, and NARA: Beginning a Dialogue. National Archives and Record Administration, College Park, Maryland, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No

167 Professor Jimmy Lin 51. (2011). Hadoop/MapReduce as a Platform for Data-Intensive Computing. Georgetown University, Washington, D.C., United States Main Audience: Researcher Invited?: Yes, Keynote?: No 52. (2011). Reflections on the Role of Industry and Academia in Social Media Research. National Science Foundation, Arlington, Virginia, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 53. (2011). Twitter and Data Science. Industrial Keynote at the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain Main Audience: Researcher Invited?: Yes, Keynote?: Yes 54. (2011). Research in Cloud Computing. Congressional Research & Development Caucus, Washington, D.C., United States Main Audience: Decision Maker Invited?: Yes, Keynote?: No 55. (2011). Hadoop/MapReduce as a Platform for Data-Intensive Computing. Universiteit van Amsterdam, Amsterdam, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 56. (2011). Large-Scale Data Processing with MapReduce. Keynote lecture at the SIKS/BiGGrid Advanced Tutorial on Big Data, Twente, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: Yes

Text Interviews 2014/06/01 Now You See It, Odyssey Magazine, published by the College of Computer, Mathematical, and Natural Sciences at the University of Maryland 2011/09/02 Cloud Computing, Baltimore Business Journal 2011/06/21 How to Invest in the Cloud, MSN Money 2011/05/25 This Is What a Sabbatical at Twitter Looks Like, Chronicle of Higher Education 2011/02/18 HP Sees Cloudy Skies Ahead, Technology Review 2009/10/12 Training to Climb an Everest of Digital Data, New York Times 2009/04/01 Tech Firms Seek to Get Agencies on Board With Cloud Computing, Washington Post

Publications

Journal Articles

1. Mackenzie J, Culpepper S, Blanco R, Crane M, Clarke C, Lin J.(2018). Query Driven Algorithm Selection in Early Stage Retrieval.Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018). : 396-404. Accepted

168 Professor Jimmy Lin 2. Mohammed S, Ghelani N, Lin J.(2017). Distant Supervision forTopic Classification of Tweets in Curated Streams.arXiv. 1704(06726) Published 3. Sahu S, Mhedhbi A, Salihoglu S, Lin J, Özsu MT. (2017). The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing.Proceedings of the VLDB Endowment. 11(4): 420-431. Published 4. Sahu S, Mhedhbi A, Salihoglu S, Lin J, Özsu T.(2017). The Ubiquity of LargeGraphs and Surprising Challenges of Graph Processing: A User Survey.arXiv. 1709(03188) Published 5. Tang R, Wang W, Tu Z, and Lin J.(2017). An Experimental Analysis ofthe Power Consumption of Convolutional Neural Networks for Keyword Spotting.arXiv. 1711(00333) Published 6. Mohammed S, Shi P, and Lin J.(2017). Strong Baselines for SimpleQuestion Answering over Knowledge Graphs with and without Neural Networks.arXiv. 1712(01969) Published 7. Mackenzie J, Culpepper JS, Blanco R, Crane M, Clarke C, Lin J.(2017). Efficient and EffectiveTail Latency Minimization in Multi-Stage Retrieval Systems.arXiv. 1704(03970) Published 8. Baruah G, McCreadie R, Lin J. (2017). A Comparison of Nuggets and Clusters for Evaluating Timeline Summaries.Proceedings of the 2017 International Conference on Information and Knowledge Management (CIKM 2017). : 67-76. Published 9. Rao J, Ture F, He H, Jojic O, Lin J.(2017). Talking to Your TV:Context-Aware Voice Search with Hierarchical Recurrent Neural Networks.arXiv. 1705(04892) Published 10. Lin J. (2017). The Lambda and the Kappa.IEEE Internet Computing.21(5): 60-66. Published 11. Lin J. (2017). In Defense of MapReduce.IEEE Internet Computing.21(3): 94-98. Published 12. Tang R, Lin J. (2017). Honk: A PyTorchReimplementation of Convolutional Neural Networks for Keyword Spotting.arXiv. 1710(06554) Published 13. Asadi N, Lin J, de Vries A. (2017). Runtime Optimizations forTree-Based Machine Learning Models.IEEE Transactions on Knowledge and Data Engineering.26(9): 2281-2292. Published 14. Lin J, Trotman A. (2017). The Role of IndexCompression in Score-at-a-Time Query Evaluation.Information Retrieval.20(3): 199-220. Accepted 15. Lin J, Milligan I, Wiebe J, and Zhou A.(2017). Warcbase: Scalable Analytics Infrastructure for Exploring Web Archives.ACM Journal on Computing and Cultural Heritage.10(4): Article 22. Published 16. Tang R, Lin J. (2017). Deep Residual Learning for Small-Footprint Keyword Spotting.arXiv. 1710(10361) Published 17. Sharma S, Jiang J, Bommannavar P, Larson B, Lin J.(2016). GraphJet: Real-Time ContentRecommendations at Twitter.Proceedings of the VLDB Endowment.9(13): 1281-1292. Published 18. Clarke C, Cormack G, Lin J, Roegiest A.(2016). Ten Blue Links on Mars.arXiv. 1610(06468) Published 19. El-Roby A, Ammar K, Aboulnaga A, Lin J. (2016). Sapphire: Querying RDF DataMade Simple.Proceedings of the VLDB Endowment.9(13): 1481-1484. Published 20. Culpepper JS, Clarke C, Lin J. (2016). Dynamic Trade-OffPrediction in Multi-Stage Retrieval Systems.arVix. 1610(02502) Published 169 Professor Jimmy Lin 21. Tan L, Lin J, Roegiest A, Clarke C.(2016). The Effects of LatencyPenalties in Evaluating Push Notification Systems.arXiv. 1606(03066) Published 22. Quamar A, Deshpande A, Lin J.(2016). NScale:Neighborhood-Centric Large-Scale Graph Analytics in the Cloud.The VLDB Journal. 25(2): 125-150. Published 23. Lin J, El Gebaly K. (2016). The Future of Big DataIs... JavaScript?. IEEE Internet Computing.20(5): 82-88. Published 24. El Gebaly K, Lin J. (2016). Afterburner: The Case forIn-Browser Analytics.arXiv. 1605(04035) Published 25. Lin J, Clarke C, Baruah G. (2016). Searching from Mars.IEEE Internet Computing.20(1): 78-82. Published 26. Hopfgartner F, Hanbury A, Müller H, Kando N, Mercer S, Kalpathy-Cramer J, Potthast M, Gollub T, Krithara A, Lin J, Balog K, Eggel I.(2015). Report on theEvaluation-as-a-Service (EaaS) Expert Workshop.SIGIR Forum. 49(1): 57-65. Published 27. Lin J. (2015). Is Big Data a TransientProblem?. IEEE Internet Computing. 19(5): 86-90. Published 28. Hanbury A, Müller H, Balog K, Brodt T, Cormack G, Eggel I, Gollub T, Hopfgartner F, Kalpathy-Cramer J, Kando N, Krithara A, Lin J, Mercer S, Potthast M. (2015). Evaluation-as-a-Service: Overview and Outlook.arXiv. 1512(07454) Published 29. Lin J. (2015). On Building Better Mousetraps and Understanding the Human Condition: Reflections on Big Data in the Social Sciences. The Annals of the American Academy of Political and Social Science. 659(1): 33-47. Published Refereed?: Yes 30. Lin J. (2015). Is Big Data a Transient Problem?. IEEE Internet Computing. 19(5): 86-90. Published Refereed?: No, Open Access?: No 31. He H*, Lin J, Lopez A. (2015). Gappy Pattern Matching on GPUs for On-Demand Extraction of Hierarchical Translation Grammars. Transactions of the Association for Computational Linguistics. 3: 87-100. Published Refereed?: Yes 32. Quamar A, Deshpande A, Lin J. (2015). NScale: Neighborhood-Centric Large-Scale Graph Analytics in the Cloud. The VLDB Journal. In Press Refereed?: Yes, Open Access?: No 33. Buntain C, Lin J, Golbeck J.(2015). Learning to Discover KeyMoments in Social Media Streams.arXiv. 1508(00488) Published 34. He H, Lin J, Lopez A.(2015). Gappy Pattern Matching onGPUs for On-Demand Extraction of Hierarchical Translation Grammars.Transactions of the Association for Computational Linguistics.3: 87-100. Published 35. Lin J. (2015). On Building BetterMousetraps and Understanding the Human Condition: Reflections on Big Data inthe Social Sciences.The Annals of the American Academy of Political and Social Science.659(1): 33-47. Published 36. Quamar A, Deshpande A, Lin J. (2014). NScale:Neighborhood-centric Large-Scale Graph Analytics in the Cloud.arXiv. 1405(1499)

170 Professor Jimmy Lin Published 37. Gupta P, Satuluri V, Grewal A, Gurumurthy S, Zhabiuk V, Li Q, Lin J. (2014). Real-Time TwitterRecommendation: Online Motif Detection in Large Dynamic Graphs.Proceedings of the VLDB Endowment.7(13): 1379-1380. Published 38. Quamar A, Deshpande A, Lin J. (2014). NScale:Neighborhood-centric Analytics on Large Graphs.Proceedings of the VLDB Endowment.7(13): 1673-1676. Published 39. Ture F*, Lin J. (2014). Exploiting Representations from Statistical Machine Translation for Cross-Language Information Retrieval. ACM Transactions on Information Systems. 32(4): 19:1-19:32. Published Refereed?: Yes 40. Weissman S, Ayhan S, Bradley J, Lin J. (2014). Identifying Duplicate andContradictory Information in Wikipedia.arXiv. 1406(1143) Published 41. Ture F, Lin J. (2014). Exploiting Representationsfrom Statistical Machine Translation for Cross-Language Information Retrieval.ACM Transactions on Information Systems.32(4): Article 19. Published 42. Lin J. (2014). On the Feasibility and Implications of Self-Contained Search Engines in the Browser.arXiv. 1410(4500) Published 43. Asadi N*, Lin J, Vries A. (2014). Runtime Optimizations for Tree-Based Machine Learning Models. IEEE Transactions on Knowledge and Data Engineering. 26(9): 2281-2292. Published Refereed?: Yes 44. Boykin O, Ritchie S, O'Connell I, Lin J. (2014). Summingbird: A Frameworkfor Integrating Batch and Online MapReduce Computations.Proceedings of the VLDB Endowment.7(13): 1441-1451. Published 45. Asadi N, Lin J. (2013). Fast Candidate Generationfor Real-Time Tweet Search with Bloom Filter Chains.ACM Transactions on Information Systems.31(3): Article 13. Published 46. Asadi N*, Lin J. (2013). Document Vector Representations for Feature Extraction in Multi-Stage Document Ranking. Information Retrieval. 16(6): 747-768. Published Refereed?: Yes 47. Asadi N*, Lin J. (2013). Fast Candidate Generation for Real-Time Tweet Search with Bloom Filter Chains. ACM Transactions on Information Systems. 31(3): 13:1-13:36. Published Refereed?: Yes 48. Lin J, Efron M. (2013). Evaluation as a Service forInformation Retrieval.SIGIR Forum.47(2): 8-14. Published 49. Asadi N, Lin J. (2013). Document VectorRepresentations for Feature Extraction in Multi-Stage Document Ranking.Information Retrieval.16(6): 747-768. Published 50. Lin J. (2013). MapReduce is Good Enough?If All You Have is a Hammer, Throw Away Everything That's Not a Nail!. Big Data. 1(1): 28-37. Published

171 Professor Jimmy Lin 51. Asadi N, Lin J, Busch M. (2013). Dynamic Memory AllocationPolicies for Postings in Real-Time Twitter Search.arXiv. 1302(5302) Published 52. Lin J. (2013). Monoidify! Monoids as aDesign Principle for Efficient MapReduce Algorithms.arXiv. 1304(7544) Published 53. Lin J. (2013). MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail!. Big Data. 1(1): 28-37. Published Refereed?: No 54. Asadi N, Lin J. (2013). Fast, Incremental InvertedIndexing in Main Memory for Web-Scale Collections.arVix. 1305(0699) Published 55. Kumar KA, Gluck J, Deshpande A, Lin J. (2013). Hone: "ScalingDown" Hadoop on Shared-Memory Systems.Proceedings of the VLDB Endowment.6(12): 1354-1357. Published 56. Lin J. (2012). MapReduce is Good Enough?If All You Have is a Hammer, Throw Away Everything That's Not a Nail!. arXiv. 1209(2191) Published 57. Lee G, Lin J, Liu C, Lorek A, Ryaboy D. (2012). The Unified LoggingInfrastructure for Data Analytics at Twitter.Proceedings of the VLDB Endowment.5(12): 1771-1780. Published 58. Lin J, Mishne G. (2012). A Study of"Churn" in Tweets and Real-Time Search Queries.arXiv. 1205(6855v1) Published 59. Mishne G, Dalton J, Li Z, Sharma A, Lin J.(2012). Fast Data in the Era of BigData: Twitter's Real-Time Related Query Suggestion Architecture.arXiv. 1210(7350) Published 60. Lin J, Ryaboy D. (2012). Scaling Big Data MiningInfrastructure: The Twitter Experience.SIGKDD Explorations.14(2): 6-19. Published 61. Asadi N, Lin J, de Vries A.(2012). Runtime Optimizations forPrediction with Tree-Based Models.arXiv. 1212(2287) Published 62. Chockler G, Dekel E, JaJa J, Lin J. (2011). Special Issue on Cloud Computing. Journal of Parallel and Distributed Computing. 71(6): 731. Published Refereed?: Yes Journal Issues

1. -. (2011). Special Issue on Cloud Computing. Journal of Parallel and Distributed Computing. 71(6) Published Refereed?: Yes Editors: Chockler G, Dekel E, JaJa J, Lin J

Books

1. Lin J, Pei J, Hu X, Chang W, Nambiar R, Aggarwal C, Cercone N, Honavar V, Huan J, Mobasher B, Pyne S (editors). (2014). Proceedings of the 2014 IEEE International Conference on Big Data. Published, IEEE Press Refereed?: Yes

172 Professor Jimmy Lin Reports

1. Quamar A, Deshpande A, Lin J. (2014). NScale: Neighborhood-centric Large-Scale Graph Analytics in the Cloud. 12. University of Maryland at College Park 2. Lin J. (2013). Monoidify! Monoids as a Design Principle for Efficient MapReduce Algorithms. 3. University of Maryland at College Park 3. Lin J, Mishne G. (2012). A Study of "Churn" in Tweets and Real-Time Search Queries (Extended Version). 8. University of Maryland at College Park Conference Publications

1. El Gebaly K, Golab L, and Lin J.Portable In-Browser DataCube Exploration.Proceedings of the KDD 2017 Workshop on Interactive Data Exploration and Analytics (IDEA), Halifax, Canada Conference Date: 2017/8 Paper Published 2. Wang Y, and Lin J.Partitioning and Segment Organization Strategies forReal-Time Selective Search on Document Streams.Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017)., Cambridge, United Kingdom Conference Date: 2017/2 Paper Published 3. He H, Gimpel K, and Lin J.Multi-Perspective Sentence Similarity Modeling withConvolutional Neural Networks.Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015)., Lisbon, Portugal Conference Date: 2015/9 Paper Published 4. Tang R, Lin J. (2018). Deep Residual Learning for Small-Footprint Keyword Spotting.Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Canada Conference Date: 2018/4 Paper Published 5. Tang r, Wang W, Tu Z, Lin J. (2018). An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting.Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), Calgary, Canada Conference Date: 2018/4 Paper Published 6. Mackenzie J, Culpepper S, Blanco R, Crane M, Clarke C, and Lin J.(2018). QueryDriven Algorithm Selection in Early Stage Retrieval.Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), Marina Del Rey, United States Conference Date: 2018/2 Paper Published 7. Tu Z, Crane M, Sequiera R, Zhang J, and Lin J. (2017). An Exploration ofApproaches to Integrating Neural Reranking Models in Multi-Stage RankingArchitectures.Proceedings of the SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17), Tokyo, Japan 173

Professor Jimmy Lin Paper Published 8. Sequiera R, Baruah G, Tu Z, Mohammed S, Rao J, Zhang H, and Lin J.(2017). Exploring the Effectivenessof Convolutional Neural Networks for Answer Selection in End-to-End QuestionAnswering.Proceedings of the SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17), Tokyo, Japan Paper Published 9. Lin J, Mohammed S, Sequiera R, Tan L, Ghelani N, Abualsaud M, McCreadie R, Milajevs D, and Voorhees E.(2017). Overview of the TREC 2017 Real-Time SummarizationTrack.Proceedings of the Twenty-Sixth Text REtrieval Conference (TREC 2017)., Gaithersburg, United States Conference Date: 2017/11 Paper Published 10. Rao J, Ture F, He H, Jojic O, and Lin J.(2017). Talking to Your TV: Context-Aware Voice Search withHierarchical Recurrent Neural Networks.Proceedings of the 2017 International Conference on Information and Knowledge Management (CIKM 2017), Singapore Conference Date: 2017/11 Paper Published 11. Baruah G, McCreadie R, and Lin J.(2017). A Comparison of Nuggets andClusters for Evaluating Timeline Summaries.Proceedings of the 2017 International Conference on Information and Knowledge Management (CIKM 2017), Singapore Conference Date: 2017/11 Paper Published 12. Mohammed S, Crane M, and Lin J.(2017). Quantization in Append-Only Collections.Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, Netherlands Conference Date: 2017/10 Paper Published 13. Crane M, and Lin J. (2017). An Exploration ofServerless Architectures for Information Retrieval.Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, Netherlands Conference Date: 2017/10 Paper Published 14. Baruah G, and Lin J.(2017). The Pareto Frontier of UtilityModels as a Framework for Evaluating Push Notification Systems.Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Netherlands Conference Date: 2017/10 Paper Published

174 Professor Jimmy Lin 15. Rao J, Ture F, Niu X, and Lin J. (2017). Mining the Temporal Statistics of Query Terms forSearching Social Media Posts.Proceedings of the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017), Amsterdam, Netherlands Conference Date: 2017/10 Paper Published 16. He H, Ganjam K, Jain N, Lundin J, White R, and Lin J.(2017). An Insight ExtractionSystem on BioMedical Literature with Deep Neural Networks.Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017)., Copenhagen, Denmark Conference Date: 2017/9 Paper Published 17. Rao J, He H, and Lin J.(2017). Experiments withConvolutional Neural Network Models for Answer Selection.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)., Tokyo, Japan Conference Date: 2017/8 Paper Published 18. Zhang H, Rao J, Lin J, and Smucker M.(2017). Automatically ExtractingHigh-Quality Negative Examples for Answer Selection in Question Answering.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan Conference Date: 2017/8 Paper Published 19. Wickner A, Shilton K, Oard D, and Lin J.(2017). Protecting Secrets inEmail: Archival Views on Challenges and Opportunities.PC4DS: The First International Workshop on Privacy-sensitive Collections for Digital Scholarship., Montreal, Canada Conference Date: 2017/8 Paper Published 20. Ghelani N, Mohammed S, Wang S, and Lin J.(2017). Event Detection on CuratedTweet Streams.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)., Tokyo, Japan Conference Date: 2017/8 Paper Published 21. Azzopardi L, Crane M, Fang H, Ingersoll G, Lin J, Moshfeghi Y, Scells H, Yang P, and Zuccon G.(2017). The Lucene for InformationAccess and Retrieval Research (LIARR) Workshop at SIGIR 2017.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)., Tokyo, Japan Conference Date: 2017/8 Paper Published 22. Roegiest A, Tan L, and Lin J.(2017). Online In-Situ InterleavedEvaluation of Real-Time Push Notification Systems.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan 175 Professor Jimmy Lin Conference Date: 2017/8 Paper Published 23. Sequiera R, and Lin J.(2017). Finally, a DownloadableTest Collection of Tweets.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)., Tokyo, Japan Conference Date: 2017/8 Paper Published 24. Yang P, Fang H, and Lin J.(2017). Enabling the Use of Lucenefor Information Retrieval Research.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017)., Tokyo, Japan Conference Date: 2017/8 Paper Published 25. Rao J, He H, Zhang H, Ture F, Sequiera R, Mohammed S, and Lin J.(2017). Integrating Lexical andTemporal Signals in Neural Ranking Models for Social Media Search.Proceedings of the SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17), Tokyp, Japan Conference Date: 2017/8 Paper Published 26. Tan L, Baruah G, and Lin J.(2017). On the Reusability of"Living Labs" Test Collections: A Case Study of Real-TimeSummarization.Proceedings of the 40th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Tokyo, Japan Conference Date: 2017/8 Paper Published 27. Wang Z, Lin B, Milligan I, and Lin J.(2017). Topic Shifts Between Two USPresidential Administrations.JCDL 2017 Workshop on Web Archiving and Digital Libraries., Toronto, Canada Conference Date: 2017/6 Paper Published 28. El Gebaly, K and Lin J.(2017). In-Browser Interactive SQL Analytics with Afterburner.Proceedings of the 2017 ACM SIGMOD International Conference on Management of Data (SIGMOD 2017)., Chicago, United States Conference Date: 2017/5 Paper Published 29. Pacaci A, Zhou A, Lin J, Özsu MT.(2017). Do We Need SpecializedGraph Databases? Benchmarking Real-Time Social Networking Applications.Proceedings of the Fifth International Workshop on Graph Datamanagement Experiences & Systems (GRADES'17)., Chigaco, United States Conference Date: 2017/5 Paper Published 30. Clarke C, Cormack G, Lin J, and Roegiest A.(2017). Ten Blue Links on Mars.Proceedings of the 26th International World Wide Web Conference (WWW 2017)., Perth, Australia

176

Professor Jimmy Lin Conference Date: 2017/4 Paper Published 31. Crane M, Culpepper JS, Lin J, Mackenzie J, Trotman A.(2017). A Comparison of Document-at-a-Time and Score-at-a-TimeQuery Evaluation.Proceedings of the Tenth ACM International Conference on Web Search and Data Mining (WSDM 2017)., Cambridge, United Kingdom Conference Date: 2017/2 Paper Published 32. Trotman A, and Lin J.(2016). In Vacuo and In Situ Evaluation of SIMD Codecs.Proceedings of the 21st Australasian Document Computing Symposium (ADCS 2016)., Melbourne, Australia Conference Date: 2016/11 Paper Published 33. Culpepper JS, Clarke C, and Lin J.(2016). Dynamic Cutoff Prediction in Multi-Stage RetrievalSystems.Proceedings of the 21st Australasian Document Computing Symposium (ADCS 2016)., Melbourne, Australia Conference Date: 2016/11 Paper Published 34. Lin J, Roegiest A, Tan L, McCreadie R, Voorhees E, and Diaz F.(2016). Overview of the TREC 2016 RealTime SummarizationTrack.Proceedings of the Twenty-Fifth Text REtrieval Conference (TREC 2016)., Gaithersburg, United States Conference Date: 2016/11 Paper Published 35. Baruah G, Zhang H, Guttikonda R, Lin J, Smucker M, and Vechtomova O.(2016). Optimizing Nugget Annotations with Active Learning.Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)., Indianapolis, United States Conference Date: 2016/10 Paper Published 36. Lin J, Tu Z, Rose M, and White P.(2016). Prizm: A Wireless AccessPoint for Proxy-Based Web Lifelogging.Proceedings of the First Workshop on Lifelogging Tools and Applications (LTA 2016)., Amsterdam, Netherlands Conference Date: 2016/10 Paper Published 37. Rao J, He H, and Lin J.(2016). Noise-Contrastive Estimation for Answer Selection withDeep Neural Networks.Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016)., Indianapolis, United States Conference Date: 2016/10 Paper Published

177

Professor Jimmy Lin 38. Clarke C, Cormack G, Lin J, and Roegiest A.(2016). Total Recall: Blue Sky onMars.Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016)., Newark, United States Conference Date: 2016/9 Paper Published 39. Rao J and Lin J.(2016). Temporal Query Expansion Using a Continuous HiddenMarkov Model.Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016)., Newark, United States Conference Date: 2016/9 Paper Published 40. Elbagoury A, Crane M, and Lin J.(2016). Rank-at-a-Time Query Processing.Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016)., Newark, United States Conference Date: 2016/9 Paper Published 41. Paik J, and Lin J.(2016). Evaluation as a Service.Proceedings of the 2nd ACM International Conference on the Theory of Information Retrieval (ICTIR 2016)., Newark, United States Conference Date: 2016/9 Paper Published 42. Roegiest A, Tan L, Lin J, and Clarke C.(2016). A Platform for Streaming Push Notifications to MobileAssessors.Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 43. Tan L, Roegiest A, Lin J, and Clarke C.(2016). An Exploration of Evaluation Metrics for Mobile PushNotifications.Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 44. Milligan I, Lin J, Wiebe J, and Zhou A.(2016). Exploring and Discovering Archive-It Collections withWarcbase.Digital Humanities 2016., Kracow, Poland Conference Date: 2016/7 Paper Published 45. Tan L, Roegiest A, Clarke C, and Lin J.(2016). Simple Dynamic Emission Strategies for MicroblogFiltering.Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 46. Qian X, Lin J, and Roegiest A.(2016). Interleaved Evaluation for Retrospective Summarizationand Prospective Notification on Document Streams.Proceedings of the 39th Annual International ACM SIGIR 178

Professor Jimmy Lin Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 47. Buntain C and Lin J.(2016). Burst Detection in Social Media Streams for TrackingInterest Profiles in Real Time.Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 48. Zhang H, Lin J, Cormack G, and Smucker M.(2016). Sampling Strategies and Active Learning for VolumeEstimation.Proceedings of the 39th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)., Pisa, Italy Conference Date: 2016/7 Paper Published 49. He H, and Lin J.(2016). Pairwise Word Interaction Modeling with NeuralNetworks for Semantic Similarity Measurement.Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT 2016)., San Diego, United States Conference Date: 2016/6 Paper Published 50. Oard D, Shilton K, and Lin J.(2016). Evaluating Search AmongSecrets.Proceedings of the 7th International Workshop on Evaluating Information Access (EVIA 2016)., Tokyo, Japan Conference Date: 2016/6 Paper Published 51. He H, Wieting J, Gimpel K, Rao J, and Lin J.(2016). UMD-TTIC-UW at SemEval-2016 Task 1: AttentionBasedMulti-Perspective Convolutional Neural Networks for Textual SimilarityMeasurement.Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval- 2016)., San Diego, United States Conference Date: 2016/6 Paper Published 52. Milligan I, Ruest N, and Lin J.(2016). Content Selection and Curation for Web Archiving: TheGatekeepers vs. the Masses.Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2016)., Newark, United States Conference Date: 2016/6 Paper Published 53. Jackson A, Lin J, Milligan I, and Ruest N.(2016). Desiderata for Exploratory Search Interfaces to WebArchives in Support of Scholarly Activities.Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2016)., Newark, United States Conference Date: 2016/6 Paper Published 179

Professor Jimmy Lin 54. Bommannavar P, Lin J, and Rajaraman A.(2016). Estimating Topical Volume in Social Media Streams.Proceedings of the 31st ACM Symposium on Applied Computing (SAC 2016)., Pisa, Italy Conference Date: 2016/4 Paper Published 55. Lin J, Crane M, Trotman A, Callan J, Chattopadhyaya I, Foley J, Ingersoll G, Macdonald C, Vigna S.(2016). Toward Reproducible Baselines: The Open-Source IRReproducibility Challenge.Proceedings of the 38th European Conference on Information Retrieval (ECIR 2016)., Pisa, Italy Conference Date: 2016/3 Paper Published 56. Rao J, Niu X, and Lin J.(2016). Compressing and Decoding Term Statistics Time Series.Proceedings of the 38th European Conference on Information Retrieval (ECIR 2016)., Padua, Italy Conference Date: 2016/3 Paper Published 57. Buntain C, Lin J, and Golbeck J.(2016). Discovering Key Moments inSocial Media Streams.Proceedings of the 13th Annual IEEE Consumer Communications & Networking Conference (CCNC 2016)., Las Vegas, United States Conference Date: 2016/1 Paper Published 58. Lin J, Efron M, Wang Y, Sherman G, and Voorhees E.(2015). Overview of the TREC-2015 Microblog Track.Proceedings of the Twenty-Fourth Text REtrieval Conference (TREC 2015)., Gaithersburg, United States Conference Date: 2015/11 Paper Published 59. Buntain C and Lin J.(2015). Burst Detection in Social Media Streams for TrackingInterest Profiles in Real Time.Proceedings of the Twenty-Fourth Text REtrieval Conference (TREC 2015), Gaithersburg, United States Conference Date: 2015/11 Paper Published 60. Lin J, Trotman A. (2015). Anytime Ranking for Impact-Ordered Indexes. Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, Massachusetts, United States Conference Date: 2015/9 Paper In Press Refereed?: Yes, Invited?: Yes 61. Wang Y*, Lin J. (2015). The Feasibility of Brute Force Scans for Real-Time Tweet Search. Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, Massachusetts, United States Conference Date: 2015/9 Paper In Press 180

Professor Jimmy Lin Refereed?: Yes, Invited?: Yes 62. Wang Y and Lin J.(2015). The Feasibility of Brute Force Scans for Real-TimeTweet Search.Proceedings of the ACM International Conference on the Theory of Information Retrieval (ICTIR 2015)., Northampton, United States Conference Date: 2015/9 Paper Published 63. Lin J. (2015). Building a Self-Contained Search Engine in the Browser. Proceedings of the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR 2015), Northampton, Massachusetts, United States Conference Date: 2015/9 Paper In Press Refereed?: Yes, Invited?: Yes 64. Lin J. (2015). Building a Self-Contained Search Engine in theBrowser.Proceedings of the ACM International Conference on the Theory of Information Retrieval (ICTIR 2015)., Northampton, United States Conference Date: 2015/9 Paper Published 65. Lin J and Trotman A.(2015). Anytime Ranking for Impact-Ordered Indexes.Proceedings of the ACM International Conference on the Theory of Information Retrieval (ICTIR 2015)., Northampton, United States Conference Date: 2015/9 Paper Published 66. He H*, Gimpel K, Lin J. (2015). Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), Conference Date: 2015/9 Paper Published Refereed?: Yes, Invited?: Yes 67. Sittig D, McCoy A, Wright A, Lin J. (2015). Developing an Open-Source Bibliometric Ranking Website Using Google Scholar Citation Profiles for Researchers in the Field of Biomedical Informatics. Proceedings of the 14th World Congress on Medical and Health Informatics, Sao Paulo, Brazil Conference Date: 2015/8 Paper In Press Refereed?: Yes, Invited?: Yes 68. Paik J, Lin J. (2015). Do Multiple Listeners to the Public Twitter Sample Stream Receive the Same Tweets?. Proceedings of the SIGIR 2015 Workshop on Temporal, Social and Spatially-Aware Information Access, Santiago, Chile Conference Date: 2015/8 Paper In Press Refereed?: Yes, Invited?: Yes

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Professor Jimmy Lin 69. Sittig D, McCoy A, Wright A, and Lin J.(2015). Developing an Open-Source Bibliometric Ranking WebsiteUsing Google Scholar Citation Profiles for Researchers in the Field ofBiomedical Informatics.Proceedings of the 14th World Congress on Medical and Health Informatics., Sao Paulo, Brazil Conference Date: 2015/8 Paper Published 70. Wang Y*, Sherman G, Lin J, Efron M. (2015). Assessor Differences and User Preferences in Tweet Timeline Generation. Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015), Santiago, Chile Conference Date: 2015/8 Paper In Press Refereed?: Yes, Invited?: Yes 71. Paik J and Lin J. (2015). Do Multiple Listeners to the Public Twitter SampleStream Receive the Same Tweets?. Proceedings of the SIGIR 2015 Workshop on Temporal, Social and Spatially-Aware Information Access., Santiago, Chile Conference Date: 2015/8 Paper Published 72. Arguello J, Diaz F, Lin J, and Trotman A.(2015). SIGIR 2015 Workshop on Reproducibility,Inexplicability, and Generalizability of Results (RIGOR).Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2015)., Santiago, Chile Conference Date: 2015/8 Paper Published 73. Wang Y, Sherman G, Lin J, and Efron M.(2015). Assessor Differences and User Preferences in TweetTimeline Generation.Proceedings of the 38th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR 2015)., Santiago, Chile Conference Date: 2015/8 Paper Published 74. Lin J. (2015). The Sum of All Human Knowledge in Your Pocket:Full-Text Searchable Wikipedia on a Raspberry Pi.Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2015)., Knoxville, United States Conference Date: 2015/6 Paper Published 75. Weissman S, Ayhan S, Bradley J, and Lin J.(2015). Identifying Duplicate and Contradictory Information inWikipedia.Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL 2015)., Knoxville, United States Conference Date: 2015/6 Paper Published 76. Lin J. (2015). The Sum of All Human Knowledge in Your Pocket: Full-Text Searchable Wikipedia on a Raspberry Pi. Proceedings of the 2015 IEEE/ACM Joint Conference on Digital Libraries (JCDL 2015), Knoxville, Tennessee, United States (85-86) Conference Date: 2015/6 182

Professor Jimmy Lin Paper Published Refereed?: Yes, Invited?: Yes 77. Weissman S*, Ayhan S, Bradley J, Lin J. (2015). Identifying Duplicate and Contradictory Information in Wikipedia. Proceedings of the 2015 IEEE/ACM Joint Conference on Digital Libraries (JCDL 2015), Knoxville, Tennessee, United States (57-60) Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: Yes 78. Lin J. (2015). Scaling Down Distributed Infrastructure on Wimpy Machines for Personal Web Archiving. Proceedings of the 24th International World Wide Web Conference Companion (WWW 2015), Florence, Italy (1351-1355) Conference Date: 2015/5 Paper Published Refereed?: Yes, Invited?: Yes 79. Lin J. (2015). Scaling Down Distributed Infrastructure on WimpyMachines for Personal Web Archiving.Proceedings of the 24th International World Wide Web Conference Companion (WWW 2015)., Florence, Italy Conference Date: 2015/5 Paper Published 80. Rao J*, Lin J, Efron M. (2015). Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search. Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015), Vienna, Austria (755-767) Conference Date: 2015/3 Paper Published Refereed?: Yes, Invited?: Yes 81. Rao J, Lin J, and Efron M.(2015). Reproducible Experiments onLexical and Temporal Feedback for Tweet Search.Proceedings of the 37th European Conference on Information Retrieval (ECIR 2015)., Vienna, Austria Conference Date: 2015/3 Paper Published 82. Wang L, Lin J, Metzler D, and Han J.(2014). Learning to Efficiently Rank on Big Data.Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014)., Seoul, Korea, Democratic People's Republic of Paper Published 83. Lin J, Efron M, Wang Y*, Sherman G. (2014). Overview of the TREC-2014 Microblog Track. Proceedings of the Twenty-Third Text REtrieval Conference (TREC 2014), Gaithersburg, Maryland, United States Conference Date: 2014/11 Paper Published 183

Professor Jimmy Lin Refereed?: No, Invited?: Yes 84. Rao J, Lin J, and Samet H.(2014). Partitioning Strategies for Spatio-Textual SimilarityJoin.Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial '14)., Dallas, United States Conference Date: 2014/11 Paper Published 85. Rao J*, Lin J, Samet H. (2014). Partitioning Strategies for Spatio-Textual Similarity Join. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial ’14), Dallas, Texas, United States (40-49) Conference Date: 2014/11 Paper Published Refereed?: Yes, Invited?: Yes 86. Wongsuphasawat K and Lin J.(2014). Using Visualizations to Monitor Changes and HarvestInsights from a Global-Scale Logging Infrastructure at Twitter.Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology (VAST 2014)., Dallas, United States Conference Date: 2014/11 Paper Published 87. Lin J, Efron M, Wang Y, and Sherman G.(2014). Overview of the TREC-2014 Microblog Track.Proceedings of the Twenty-Third Text REtrieval Conference (TREC 2014)., Gaithersburg, United States Conference Date: 2014/11 Paper Published 88. Wongsuphasawat K, Lin J. (2014). Using Visualizations to Monitor Changes and Harvest Insights from a Global-Scale Logging Infrastructure at Twitter. Proceedings of the 2014 IEEE Conference on Visual Analytics Science and Technology (VAST 2014), Paris, France (113-122) Conference Date: 2014/11 Paper Published Refereed?: Yes, Invited?: Yes 89. Boykin O, Ritchie S, O'Connell, Lin J. (2014). Summingbird: A Framework for Integrating Batch and Online MapReduce Computations. Proceedings of the 40th International Conference on Very Large Data Bases (VLDB 2014), Hangzhou, China (1379-1380) Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: Yes 90. Gupta P, Satuluri V, Grewal A, Gurumurthy S, Zhabiuk V, Li Q, Lin J. (2014). Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs. Proceedings of the 40th International Conference on Very Large Data Bases (VLDB 2014), Hangzhou, China (1441-1451) Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: Yes 184

Professor Jimmy Lin 91. Gebremeskel G, He J, de Vries A, and Lin J.(2014). Cumulative Citation Recommendation: A FeatureawareComparisons of Approaches.Proceedings of the 11th International Workshop on Text-based Information Retrieval at DEXA., Munich, Germany Conference Date: 2014/9 Paper Published 92. Quamar A*, Deshpande A, Lin J. (2014). NScale: Neighborhood-centric Analytics on Large Graphs. Proceedings of the 40th International Conference on Very Large Data Bases (VLDB 2014), Hangzhou, China (1673-1676) Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: Yes 93. Gebremeskel G, He J, Vries A, Lin J. (2014). Cumulative Citation Recommendation: A Feature-aware Comparisons of Approaches. Proceedings of the 11th International Workshop on Text-based Information Retrieval at DEXA 2014, Munich, Germany Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: Yes 94. Voorhees E, Lin J, Efron M. (2014). On Run Diversity in "Evaluation as a Service". Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia (959-962) Conference Date: 2014/7 Paper Published Refereed?: Yes, Invited?: Yes 95. Efron M, Lin J, He J, and de Vries A.(2014). Temporal Feedback for Tweet Search with Non- ParametricDensity Estimation.Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014)., Gold Coast, Australia Conference Date: 2014/7 Paper Published 96. Lin J, Kraus K, Paunzalan R. (2014). Supporting "Distant Reading" for Web Archives. Digital Humanities 2014, Lausanne, Switzerland (239-241) Conference Date: 2014/7 Abstract Published Refereed?: Yes, Invited?: Yes 97. Lin J, Kraus K, and Punzalan R.(2014). Supporting "Distant Reading" for WebArchives.Digital Humanities 2014., Lausanne, Switzerland Conference Date: 2014/7 Paper Published 98. Efron M, Lin J, He J, Vries A. (2014). Temporal Feedback for Tweet Search with Non-Parametric Density Estimation. Proceedings of the 37th Annual International ACM SIGIR Conference on Research and 185

Professor Jimmy Lin Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia (33-42) Conference Date: 2014/7 Paper Published Refereed?: Yes, Invited?: Yes 99. Voorhees E, Lin J, and Efron M.(2014). On Run Diversity in "Evaluation as aService".Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014)., Gold Coast, Australia Conference Date: 2014/7 Paper Published 100. Mühleisen H, Samar T, Lin J, and de Vries A.(2014). Old Dogs Are Great at New Tricks: Column Stores for IRPrototyping.Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014)., Gold Coast, Australia Conference Date: 2014/7 Paper Published 101. Muhleisen H, Samar T, Lin J, Vires A. (2014). Old Dogs Are Great at New Tricks: Column Storesfor IR Prototyping. Proceedings of the 37th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia (863-866) Conference Date: 2014/7 Paper Published Refereed?: Yes, Invited?: Yes 102. Muhleisen H, Samar T, Lin J, Vries A. (2014). Column Stores as an IR Prototyping Tool. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, Netherlands (789-792) Conference Date: 2014/4 Paper Published Refereed?: Yes, Invited?: Yes 103. Lin J, Efron M. (2014). Infrastructure Support for Evaluation as a Service. Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014), Seoul, Korea, Republic of (79-83) Conference Date: 2014/4 Paper Published Refereed?: Yes, Invited?: Yes 104. Wang Y and Lin J.(2014). The Impact of Future Term Statistics in Real-TimeTweet Search.Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014)., Amsterdam, Netherlands Conference Date: 2014/4 Paper Published 105. Lin J and Efron M.(2014). Infrastructure Support for Evaluation as a Service.Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014)., Seoul, Korea, Democratic People's Republic of Conference Date: 2014/4 Paper 186

Professor Jimmy Lin Published 106. Wang Y*, Lin J. (2014). The Impact of Future Term Statistics in Real-Time Tweet Search. Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014), Amsterdam, Netherlands (657-572) Conference Date: 2014/4 Paper Published Refereed?: Yes, Invited?: Yes 107. Myers S, Sharma A, Gupta P, Lin J. (2014). Information Network or Social Network? The Structure of the Twitter Follow Graph. Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014), Seoul, Korea, Republic of (493-498) Conference Date: 2014/4 Paper Published Refereed?: Yes, Invited?: Yes 108. Mühleisen H, Samar T, Lin J, and de Vries A.(2014). Column Stores as an IR Prototyping Tool.Proceedings of the 36th European Conference on Information Retrieval (ECIR 2014)., Amsterdam, Netherlands Conference Date: 2014/4 Paper Published 109. Lin J, Gholami M, and Rao J.(2014). Infrastructure for Supporting Exploration andDiscovery in Web Archives.Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014)., Seoul, Korea, Democratic People's Republic of Conference Date: 2014/4 Paper Published 110. Myers S, Sharma A, Gupta P, and Lin J.(2014). Information Network or Social Network? The Structureof the Twitter Follow Graph.Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014)., Seoul, Korea, Democratic People's Republic of Conference Date: 2014/4 Paper Published 111. Lin J, Gholami M*, Rao J*. (2014). Infrastructure for Supporting Exploration and Discovery in Web Archives. Proceedings of the 23rd International World Wide Web Conference Companion (WWW 2014), Seoul, Korea, Republic of (851-855) Conference Date: 2014/4 Paper Published Refereed?: Yes, Invited?: Yes 112. Kumar K*, Gluck J*, Deshpande A, Lin J. (2014). Optimization Techniques for "Scaling Down" Hadoop on Multi-Core, Shared-Memory Systems. Proceedings of the 17th International Conference on Extending Database Technology (EDBT 2014), Athens, Greece (13-24) Conference Date: 2014/3 Paper Published Refereed?: Yes, Invited?: Yes

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Professor Jimmy Lin 113. Xu Z*, Goldwasser D, Bederson B, Lin J. (2014). Visual Analytics of MOOCs at Maryland. Proceedings of the First ACM Conference on Learning at Scale, Atlanta, Georgia, United States (195-196) Conference Date: 2014/3 Paper Published Refereed?: Yes, Invited?: Yes 114. Xu Z, Goldwasser D, Bederson B, and Lin J.(2014). Visual Analytics of MOOCs at Maryland.Proceedings of the First ACM Conference on Learning at Scale., Atlanta, United States Conference Date: 2014/3 Paper Published 115. Kumar K, Gluck J, Deshpande A, and Lin J.(2014). Optimization Techniques for "Scaling Down"Hadoop on Multi-Core, Shared-Memory Systems.Proceedings of the 17th International Conference on Extending Database Technology (EDBT 2014)., Athens, Greece Conference Date: 2014/3 Paper Published 116. Asadi N*, Lin J. (2014). An Exploration of Postings List Contiguity in Main-Memory Incremental Indexing. Proceedings of the WSDM 2014 Workshop on Large-Scale and Distributed Systems for Information Retrieval, New York, New York, United States Conference Date: 2014/2 Paper Published Refereed?: Yes, Invited?: Yes 117. Said A, Bellogin, Lin J, Vries A. (2014). Do Recommendations Matter? News Recommendation in Real Life. Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014), Baltimore, Maryland, United States (237-240) Conference Date: 2014/2 Paper Published Refereed?: Yes, Invited?: Yes 118. Asadi N and Lin J.(2014). An Exploration of Postings List Contiguity inMain-Memory Incremental Indexing.Proceedings of the WSDM 2014 Workshop on Large-Scale and Distributed Systems for Information Retrieval., New York, United States Conference Date: 2014/2 Paper Published 119. Said A, Bellogín A, Lin J, and de Vries A.(2014). Do Recommendations Matter? News Recommendation in RealLife.Proceedings of the Companion Publication of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014)., Baltimore, United States Conference Date: 2014/2 Paper Published 120. Lin J, Efron M. (2013). Temporal Relevance Profiles for Tweet Search. Proceedings of the SIGIR 2013 Workshop on Time-aware Information Access, Dublin, Ireland Conference Date: 2014/8 Paper 188

Professor Jimmy Lin Published Refereed?: Yes, Invited?: Yes 121. Bellogín A, Gebremeskel G, He J, Lin J, Said A, Samar T, de Vries A, and Vuurens J.(2013). CWI and TU Delft at TREC 2013: Contextual Suggestion,Federated Web Search, KBA, and Web Tracks.Proceedings of the Twenty-Second Text REtrieval Conference (TREC 2013)., Gaithersburg, United States Conference Date: 2013/11 Paper Published 122. Lin J and Efron M.(2013). Overview of the TREC-2013 Microblog Track.Proceedings of the Twenty-Second Text REtrieval Conference (TREC 2013)., Gaithersburg, United States Conference Date: 2013/11 Paper Published 123. Said A, Lin J, Bellogin A, Vries A. (2013). A Month in the Life of a Production News Recommender System. Proceedings of the CIKM 2013 Workshop on Living Labs for Information Retrieval Evaluation (LivingLab ’13), San Francisco, California, United States (7-10) Conference Date: 2013/11 Paper Published Refereed?: Yes, Invited?: Yes 124. Bellogin A, Gebremeskel G, He J, Lin J, Said A, Samar T, Vries A, Vuurens J. (2013). CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks. Proceedings of the Twenty-Second Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland, United States Conference Date: 2013/11 Paper Published Refereed?: No, Invited?: Yes 125. Said A, Lin J, Bellogín A, and de Vries A.(2013). A Month in the Life of a Production News RecommenderSystem.Proceedings of the CIKM 2013 Workshop on Living Labs for Information Retrieval Evaluation (LivingLab '13)., San Francisco, United States Conference Date: 2013/11 Paper Published 126. Lin J, Efron M. (2013). Overview of the TREC-2013 Microblog Track. Proceedings of the Twenty-Second Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland, United States Conference Date: 2013/11 Paper Published Refereed?: No, Invited?: Yes 127. Eidelman V, Wu K, Ture F, Resnik P, and Lin J.(2013). Mr. MIRA: Open-Source Large-Margin Structured Learningon MapReduce.Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics System Demonstrations (ACL 2013)., Sofia, Bulgaria Conference Date: 2013/8 Paper Published 128. Eidelman V, Wu K, Ture K, Resnik P, and Lin J.(2013). Towards Efficient Large-Scale Feature-Rich

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Professor Jimmy Lin StatisticalMachine Translation.Proceedings of the Eighth Workshop on Statistical Machine Translation., Sofia, Bulgaria Conference Date: 2013/8 Paper Published 129. Asadi N*, Lin J, Busch M. (2013). Dynamic Memory Allocation Policies for Postings in Real-Time Twitter Search. Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2013), Chicago, Illinois, United States (1186-1194) Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: Yes 130. Asadi N, Lin J, and Busch M.(2013). Dynamic Memory Allocation Policies for Postings inReal-Time Twitter Search.Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2013)., Chicago, United States Conference Date: 2013/8 Paper Published 131. Eidelman V, Wu K, Ture F*, Resnik P, Lin J. (2013). Towards Efficient Large-Scale Feature-Rich Statistical Machine Translation. Proceedings of the Eighth Workshop on Statistical Machine Translation, Sofia, Bulgaria (128-133) Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: Yes 132. Eidelman V, Wu K, Ture F*, Resnik P, Lin J. (2013). Mr. MIRA: Open-Source Large-Margin Structured Learning on MapReduce. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics System Demonstrations (ACL 2013), Sofia, Bulgaria (199-204) Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: Yes 133. Kumar K*, Gluck J*, Deshpande A, Lin J. (2013). Hone: "Scaling Down" Hadoop on Shared-Memory Systems. Proceedings of the 39th International Conference on Very Large Data Bases (VLDB 2013), Trento, Italy (1354-1357) Conference Date: 2013/8 Paper Published Refereed?: Yes, Invited?: Yes 134. Ture F*, Lin J. (2013). Flat vs. Hierarchical Phrase-Based Translation Models for Cross Language Information Retrieval. Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2013), Dublin, Ireland (813-816) Conference Date: 2013/7 Paper Published Refereed?: Yes, Invited?: Yes

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Professor Jimmy Lin 135. Asadi N and Lin J.(2013). Effectiveness/Efficiency Tradeoffs for CandidateGeneration in Multi-Stage Retrieval Architectures.Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2013)., Dublin, Ireland Conference Date: 2013/7 Paper Published 136. Rios M and Lin J.(2013). Visualizing the "Pulse" of World Cities onTwitter.Proceedings of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM 2013)., Boston, United States Conference Date: 2013/7 Paper Published 137. Asadi N*, Lin J. (2013). Effectiveness/Efficiency Tradeoffs for Candidate Generation in Multi-Stage Retrieval Architectures. Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2013), Dublin, Ireland (997-1000) Conference Date: 2013/7 Paper Published Refereed?: Yes, Invited?: Yes 138. Lin J and Efron M.(2013). Temporal Relevance Profiles for Tweet Search.Proceedings of the SIGIR 2013 Workshop on Time-Aware Information Access., Dublin, Ireland Conference Date: 2013/7 Paper Published 139. Rios M, Lin J. (2013). Visualizing the "Pulse" of World Cities on Twitter. Proceedings of the 7th International AAAI Conference on Weblogs and Social Media (ICWSM 2013), Boston, Massachusetts, United States (717-720) Conference Date: 2013/7 Paper Published Refereed?: Yes, Invited?: Yes 140. Ture F and Lin J.(2013). Flat vs. Hierarchical Phrase-Based Translation Modelsfor Cross-Language Information Retrieval.Proceedings of the 36th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2013)., Dublin, Ireland Conference Date: 2013/7 Paper Published 141. Mishne G, Dalton J, Li Z, Sharma A, Lin J. (2013). Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture. Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD 2013), New York, New York, United States (1147-1157) Conference Date: 2013/6 Paper Published Refereed?: Yes, Invited?: Yes 142. He H*, Lin J, Lopez A. (2013). Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs. Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT 2013), Atlanta, Georgia, United States (325-334) Conference Date: 2013/6 191

Professor Jimmy Lin Paper Published Refereed?: Yes, Invited?: Yes 143. He H, Lin J, and Lopez A.(2013). Massively Parallel Suffix Array Queries and On-DemandPhrase Extraction for Statistical Machine Translation Using GPUs.Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT 2013)., Atlanta, United States Conference Date: 2013/6 Paper Published 144. Mishne G, Dalton J, Li Z, Sharma A, and Lin J.(2013). Fast Data in the Era of Big Data: Twitter's RealTimeRelated Query Suggestion Architecture.Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD 2013)., New York, United States Conference Date: 2013/6 Paper Published 145. Gupta P, Goel A, Lin J, Sharma A, Wang D, and Zadeh R.(2013). WTF: The Who to Follow Service at Twitter.Proceedings of the 22th International World Wide Web Conference (WWW 2013)., Rio de Janeiro, Brazil Conference Date: 2013/5 Paper Published 146. Gupta P, Goel A, Lin J, Sharma A, Wang D, Zadeh R. (2013). WTF: The Who to Follow Service at Twitter. Proceedings of the 22th International World Wide Web Conference (WWW 2013), Rio de Janeiro, Brazil (505-514) Conference Date: 2013/5 Paper Published Refereed?: Yes, Invited?: Yes 147. Lin J.(2013). MapReduce Algorithm Design.Tutorial at 22th International World Wide Web Conference (WWW 2013)., Rio de Janeiro, Brazil Conference Date: 2013/5 Paper Published 148. Asadi N and Lin J.(2013). Training Efficient Tree-Based Models for DocumentRanking.Proceedings of the 35th European Conference on Information Retrieval (ECIR 2013)., Moscow, Russian Federation Conference Date: 2013/3 Paper Published 149. Asadi N*, Lin J. (2013). Training Efficient Tree-Based Models for Document Ranking. Proceedings of the 34th European Conference on Information Retrieval (ECIR 2013), Moscow, Russian Federation (146-157) Conference Date: 2013/3 Paper Published Refereed?: Yes, Invited?: Yes

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Professor Jimmy Lin 150. Ture F, Lin J, and Oard D.(2012). Combining Statistical Translation Techniques forCross-Language Information Retrieval.Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012)., Mumbai, India Conference Date: 2012/12 Paper Published 151. Ture F*, Lin J, Oard D. (2012). Combining Statistical Translation Techniques for Cross-Language Information Retrieval. Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), Mumbia, India (2685-2702) Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: Yes 152. Soboroff I, Ounis I, Macdonald C, Lin J. (2012). Overview of the TREC-2012 Microblog Track. Proceedings of the Twenty-First Text REtrieval Conference (TREC 2012), Gaithersburg, Maryland, United States Conference Date: 2012/11 Paper Published Refereed?: No, Invited?: Yes 153. Soboroff I, Ounis I, Macdonald C, and Lin J.(2012). Overview of the TREC-2012 Microblog Track.Proceedings of the Twenty-First Text REtrieval Conference (TREC 2012)., Gaithersburg, United States Conference Date: 2012/11 Paper Published 154. Asadi N and Lin J.(2012). Fast Candidate Generationfor Two-Phase Document Ranking: Postings List Intersection with Bloom Filters.Proceedings of the 21st International Conference on Information and Knowledge Management (CIKM 2012)., Maui, United States Conference Date: 2012/10 Paper Published 155. Asadi N*, Lin J. (2012). Fast Candidate Generation for Two-Phase Document Ranking: Postings List Intersection with Bloom Filters. Proceedings of 21th International Conference on Information and Knowledge Management (CIKM 2012), Maui, Hawaii, United States (2419-2422) Conference Date: 2012/10 Paper Published Refereed?: Yes, Invited?: Yes 156. Mishne G and Lin J.(2012). Twanchor Text: A Preliminary Study of the Value ofTweets as Anchor Text.Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012)., Portland, United States Conference Date: 2012/8 Paper Published 157. Mishne G, Lin J. (2012). Twanchor Text: A Preliminary Study of the Value of Tweets as Anchor Text. Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in 193

Professor Jimmy Lin Information Retrieval (SIGIR 2012), Portland, Oregon, United States (1159-1160) Conference Date: 2012/8 Paper Published Refereed?: Yes, Invited?: Yes 158. Ture F, Lin J, and Oard D.(2012). Looking Inside the Box: Context-Sensitive Translationfor CrossLanguage Information Retrieval.Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012)., Portland, United States Conference Date: 2012/8 Paper Published 159. McCreadie R, Soboroff I, Lin J, Macdonald C, Ounis I, and McCullough D.(2012). On Building a Reusable Twitter Corpus.Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012)., Portland, United States Conference Date: 2012/8 Paper Published 160. Ture F*, Lin J, Oard D. (2012). Looking Inside the Box: Context-Sensitive Translation for Cross-Language Information Retrieval. Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012), Portland, Oregon, United States (1105-1106) Conference Date: 2012/8 Paper Published Refereed?: Yes, Invited?: Yes 161. Lee G, Lin J, Liu C, Lorek A, Ryaboy D. (2012). The Unified Logging Infrastructure for Data Analytics at Twitter. The Unified Logging Infrastructure for Data Analytics at Twitter. Proceedings of the 38th International Conference on Very Large Data Bases (VLDB 2012), Istanbul, Turkey (1771-1780) Conference Date: 2012/8 Paper Published Refereed?: Yes, Invited?: Yes 162. McCreadie R, Soboroff I, Lin J, Macdonald, Ounis I, McCullough D. (2012). On Building a Reusable Twitter Corpus. Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012), Portland, Oregon, United States (1113-1114) Conference Date: 2012/8 Paper Published Refereed?: Yes, Invited?: Yes 163. Ture F and Lin J.(2012). Why Not Grab a Free Lunch? Mining Large Corpora forParallel Sentences to Improve Translation Modeling.Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT 2012)., Montreal, Canada Conference Date: 2012/6 Paper Published

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Professor Jimmy Lin 164. Soboroff I, McCullough D, Lin J, Macdonald C, Ounis I, McCreadie R. (2012). Evaluating Real-Time Search over Tweets. Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM 2012), Dublin, Ireland (579-582) Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: Yes 165. Ture F*, Lin J. (2012). Why Not Grab a Free Lunch? Mining Large Corpora for Parallel Sentences to Improve Translation Modeling. Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT 2012), Montreal, Canada (626-630) Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: Yes 166. Lin J, Mishne G. (2012). A Study of "Churn" in Tweets and Real-Time Search Queries. Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM 2012), Dublin, Ireland (503-506) Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: Yes 167. Lin J and Mishne G.(2012). A Study of "Churn" in Tweets and Real-TimeSearch Queries.Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM 2012)., Dublin, Ireland Conference Date: 2012/6 Paper Published 168. Soboroff I, McCullough D, Lin J, Macdonald C, Ounis I, and McCreadie R.(2012). Evaluating Real-Time Search over Tweets.Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM 2012)., Dublin, Ireland Conference Date: 2012/6 Paper Published 169. Rios M, Lin J. (2012). Distilling Massive Amounts of Data into Simple Visualizations: Twitter Case Studies. Proceedings of the Workshop on Social Media Visualization (SocMedVis) at ICWSM 2012, Dublin, Ireland (22-25) Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: Yes 170. Rios M and Lin J.(2012). Distilling Massive Amounts of Data into SimpleVisualizations: Twitter Case Studies.Proceedings of the Workshop on Social Media Visualization (SocMedVis) at ICWSM 2012., Dublin, Ireland Conference Date: 2012/6 Paper Published

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Professor Jimmy Lin 171. Lin J and Kolcz A.(2012). Large-Scale Machine Learning at Twitter.Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (SIGMOD 2012)., Scottsdale, United States Conference Date: 2012/5 Paper Published 172. Lin J, Kolcz A. (2012). Large-Scale Machine Learning at Twitter. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data (SIGMOD 2012), Scottsdale, Arizona, United States (793-804) Conference Date: 2012/5 Paper Published Refereed?: Yes, Invited?: Yes 173. Busch M, Gade K, Larson B, Lok P, Luckenbill S, and Lin J.(2012). Earlybird: Real-Time Search at Twitter.Proceedings of the 28th International Conference on Data Engineering (ICDE 2012)., Washington, United States Conference Date: 2012/4 Paper Published 174. Busch M, Gade K, Larson B, Lok P, Luckenbill S, Lin J. (2012). Earlybird: Real-Time Search at Twitter. Proceedings of the 28th International Conference on Data Engineering (ICDE 2012), Washington, D.C., United States (1360-1369) Conference Date: 2012/4 Paper Published Refereed?: Yes, Invited?: Yes 175. Ounis I, Macdonald C, Lin J, Soboroff I. (2011). Overview of the TREC-2011 Microblog Track. Proceedings of the Twentieth Text REtrieval Conference (TREC 2011), Gaithersburg, Maryland, United States Conference Date: 2011/11 Paper Published Refereed?: No, Invited?: Yes 176. Leibert F, Mannix J, Lin J, Hamadani B. (2011). Automatic Management of Partitioned, Replicated Search Services. Proceedings of the 2nd ACM symposium on Cloud computing (SoCC 2011), Cascais, Portugal Conference Date: 2011/10 Paper Published Refereed?: Yes, Invited?: Yes 177. Elsayed T, Lin J, Metzler D. (2011). When Close Enough Is Good Enough: Approximate Positional Indexes for Efficient Ranked Retrieval. Proceedings of 20th International Conference on Information and Knowledge Management (CIKM 2011), Glasgow, United Kingdom (1993-1996) Conference Date: 2011/10 Paper Published Refereed?: Yes, Invited?: Yes 178. Lin J, Snow R, Morgan W. (2011). Smoothing Techniques for Adaptive Online Language Models: Topic Tracking in Tweet Streams. Proceedings of the 17th ACM SIGKDD International Conference on Knowledge 196

Professor Jimmy Lin Discovery and Data Mining (SIGKDD 2011), San Diego, California, United States (422-429) Conference Date: 2011/8 Paper Published Refereed?: Yes, Invited?: Yes 179. Ture F*, Elsayed T, Lin J. (2011). No Free Lunch: Brute Force vs. Locality-Sensitive Hashing for Crosslingual Pairwise Similarity. Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China (943-952) Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: Yes 180. Asadi N*, Metzler D, Lin J. (2011). Cross-Corpus Relevance Projection. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China (1163-1164) Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: Yes 181. Wang L*, Lin J, Metzler D. (2011). A Cascade Ranking Model for Efficient Ranked Retrieval. Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China (105-114) Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: Yes 182. Asadi N*, Metzler D, Elsayed T, Lin J. (2011). Pseudo Test Collections for Learning Web Search Ranking Functions. Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China (1073-1082) Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: Yes 183. Lin J, Ryaboy D, Weil K. (2011). Full-Text Indexing for Optimizing Selection Operations in Large-Scale Data Analytics. Proceedings of the Second International Workshop on MapReduce and Its Applications (MAPREDUCE 2011), San Jose, California, United States (59-66) Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: Yes 184. Wagner E, Lin J. (2011). In-Depth Accounts and Passing Mentions in the News: Connecting Readers to the Context of a News Event. Proceedings of the 2011 iConference, Seattle, Washington, United States (790- 791) Conference Date: 2011/2 Paper Published Refereed?: Yes, Invited?: Yes

197

Dr. Martin Lysy Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes Yes Yes Yes Hungarian No No Yes Yes No Spanish; Castilian Yes No Yes Yes No

Degrees - 2012/1 Doctorate, Statistics, Harvard University Supervisors: Samuel Kou, 2007/9 - 2012/1 - 2007/5 Master's Thesis, Statistics, Harvard University - 2006/5 Bachelor's, Mathematics and Statistics, McGill University Supervisors: Masoud Asgharian, 2002/9 - 2006/5

Recognitions 2008/1 - 2011/12 NSERC Doctoral Scholarship - 63,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award Scholarship User Profile

Research Specialization Keywords: Causal Inference, Graphical and Structural Equation Models, MCMC Design, Modeling of Single-Molecule Dynamics, Stochastic Processes and Differential Equations

Employment 2012/7 Assistant Professor of Statistics Statistics and Actuarial Science, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2016/3 - 2016/6 Visiting Scholar Statistics and Applied Probability, University of California, Santa Barbara Part-time Tenure Status: Non Tenure Track 2016/2 - 2016/3 Visiting Scholar Statistics, The University of Manitoba Part-time Tenure Status: Non Tenure Track

198

Dr. Martin Lysy 2012/1 - 2012/7 Post-doctoral Fellow Statistics, Harvard University Full-time Tenure Status: Non Tenure Track 2007/9 - 2010/12 Teaching Fellow Statistics, Harvard University Full-time Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=1] 2014/4 - 2019/3 NSERC Discovery Grant, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 75,000 Portion of Funding Received - 0 Funding Competitive?: Yes

Completed [n=3] 2014/2 - 2015/3 University of Waterloo Chronic Disease Prevention Initiative Seed Grant, Grant Co-applicant Funding Sources: University of Waterloo Seed Grant Total Funding - 10,000 Portion of Funding Received - 100 Funding Competitive?: Yes 2012/7 - 2014/7 Faculty Start-up Grant, Grant Principal Investigator Funding Sources: University of Waterloo Startup Grant Total Funding - 40,000 Portion of Funding Received - 40,000 Funding Competitive?: No 2008/9 - 2011/9 NSERC Doctoral Scholarship, Scholarship Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) (NSERC) Post Graduate Doctoral Scholarship Total Funding - 63,000 Portion of Funding Received - 63,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s [n=7]

199

Dr. Martin Lysy 2017/1 - 2017/12 JunYong Tong (In Progress) , University of Waterloo Principal Supervisor 2015/5 - 2016/5 Bryan Yates (Completed) , University of Waterloo Principal Supervisor 2015/1 - 2015/8 Yifan Wang (Completed) , University of Waterloo Principal Supervisor 2015/1 - 2015/8 Tian You (Completed) , University of Waterloo Principal Supervisor 2014/9 - 2014/12 Trevor Kitt (Completed) , University of Waterloo Principal Supervisor 2014/9 - 2015/9 Peter Kim (Completed) , University of Waterloo Principal Supervisor 2014/5 - 2014/12 Wanqing Sima (Completed) , University of Waterloo Principal Supervisor Bachelor’s Honours [n=4] 2017/5 - 2017/12 Jonathan Ramkissoon (In Progress) , University of Waterloo Principal Supervisor 2013/9 - 2014/4 Arne Huang (Completed) , University of Waterloo Principal Supervisor 2013/1 - 2016/5 Ahmad Radaideh (Completed) , University of Waterloo Principal Supervisor 2013/1 - 2013/4 Xing, Cuiqun (Completed) , University of Waterloo Principal Supervisor Master’s non-Thesis [n=4] 2015/1 - 2015/9 Yun Ling (Completed) , University of Waterloo Principal Supervisor 2015/1 - 2015/8 Lin Qin (Completed) , University of Waterloo Principal Supervisor 2015/1 - 2016/1 Dina Tsarapkina (Completed) , University of Waterloo Principal Supervisor 2014/9 - 2015/8 Kamal Rai (Completed) , University of Waterloo Principal Supervisor Master’s Thesis [n=4] 2017/9 - 2018/12 Shimeng Huang (In Progress) , University of Waterloo Principal Supervisor 2017/1 - 2017/12 Bryan Yates (Completed) , University of Waterloo Principal Supervisor 2015/1 - 2016/1 Peter Starszyk (Completed) , University of Waterloo Principal Supervisor 2013/4 - 2013/12 Yizhou Fang (Completed) , University of Waterloo Principal Supervisor

Doctorate [n=3]

200

Dr. Martin Lysy 2017/9 - 2020/9 Feiyu Zhu (In Progress) , University of Waterloo Co-Supervisor 2015/9 - 2018/9 Yun Ling (In Progress) , University of Waterloo Co-Supervisor 2014/1 - 2017/12 Yizhou Fang (In Progress) , University of Waterloo Co-Supervisor

Editorial Activities 2017/1 Peer Review, Journal of the Royal Statistical Society, Series C, Journal 2017/1 Peer Review, Canadian Journal of Statistics, Journal 2016/1 Peer Review, Computational Statistics and Data Analysis, Journal 2016/1 Peer Review, Journal of the American Statistical Association, Journal 2016/1 Peer Review, Annals of Statistics, Journal 2016/1 Peer Review, Bayesian Analysis, Journal 2015/1 Peer Review, Bernoulli, Journal 2013/1 Peer Review, Journal of Statistical Computation and Simulation, Journal 2013/1 Peer Review, Stat, Journal 2012/1 Peer Review, Technometrics, Journal 2012/1 Peer Review, Chance, Journal 2008/1 Peer Review, Journal of Multivariate Analysis, Journal

Committee Memberships 2013/5 - 2016/5 Committee Member, New Investigators Committee, Statistical Society of Canada

Other Memberships 2012/7 - 2018/6 Member, American Statistical Association 2016/1 - 2018/1 Member, International Biometric Society 2016/1 - 2018/1 Member, International Chinese Statistical Association 2013/1 - 2018/1 Member, Statistical Society of Canada 2013/1 - 2018/1 Member, International Society for Bayesian Analysis 2013/1 - 2018/1 Member, Institute of Mathematical Statistics

Presentations 1. (2017). Stochastic Modeling of Observables in Nanoscopic Systems. University of Alberta Statistics Seminar Series, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2017). Efficient computational inference for microparticle tracking in biological fluids. 7th International Workshop on Perspectives in High-Dimensional Data Analysis, Guanajuato, Mexico Main Audience: Researcher 201

Dr. Martin Lysy Invited?: Yes, Keynote?: No 3. (2017). Stochastic Modeling of Observables in Nanoscopic Systems. University of Windsor Statistics Seminar Series, Windsor, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2016). Model comparison and assessment for single particle tracking in biological fluids. University of Guelph Statistics Seminar Series, Guelph, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2016). Stochastic Simulation of a Nanoscale Experiment. University of Toronto Statistics Seminar Series, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2016). Model comparison and assessment for single particle tracking in biological fluids. 25th International Chinese Statistical Association Conference on Data Science, Dali, China Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2016). Bayesian inference for stochastic PK/PD models. 28th International Biometric Conference, Victoria, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2016). Bayesian inference for stochastic PK/PD models. Canadian Mathematical Society Winter Meeting, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2015). Detection of migratory change points of fish in the Northern Arctic. Joint Statistical Meetings, Seattle, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2015). Model comparison and assessment for single particle tracking in biological fluids. Université Bordeaux Statistics Seminar Series, Bordeaux, France Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2015). Statistical inference for stochastic differential equations with memory. 30th European Meeting of Statisticians, Amsterdam, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2014). Parameter inference for diffusion processes via Gaussian process regression. Annual Meeting of the Statistical Society of Canada, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2014). Model comparison and assessment for single particle tracking in biological fluids. University of Manitoba Statistics Seminar Series, Winnipeg, Canada Main Audience: Researcher 202

Dr. Martin Lysy Invited?: Yes, Keynote?: No 14. (2014). Model comparison and assessment for single particle tracking in biological fluids. Université Laval Statistics Seminar Series, Quebec, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2014). Model comparison and assessment for single particle tracking in biological fluids. 12th World Meeting of the International Society for Bayesian Analysis, Cancun, Mexico Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2013). Stochastic Simulation of a Nanoscale Experiment. IMS New Researchers Conference, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 17. A. Labuda. (2012). Simulation of a Nanoscale Experiment Satisfying a Generalized Langevin Equation. IMS/ASA Spring Research Conference, Cambridge, United States Main Audience: Researcher Invited?: No, Keynote?: No 18. (2011). Building a Tall Bridge Over a Wide River: Batch Filtered Inference for Multivariate Diffusions. McGill University Statistics Seminar Series, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Newby, J.M. Seim, I. Lysy, M. Ling, Y. Huckaby, J. Lai, S.K. Forest, M.G.(2018). Technological strategies to estimate and control diffusive passage times through the mucus barrier in mucosal drug delivery. Advanced Drug Delivery Reviews. 124: 64-81. Published Refereed?: Yes 2. Luan, H. Law, J. Lysy, M.(2018). Diving into the consumer nutrition environment: A Bayesian spatial factor analysis of neighborhood restaurant environment. Spatial and Spatio-temporal Epidemiology. 24: 39-51. Published Refereed?: Yes 3. Seim,I., Cribb,J.A., Newby,J.M., Vasquez,P., Lysy,M., Hill,D.B., Forest,M.G.(2017). Evidence that selfsimilar microrheology of highly entangled polymeric hydrogels scales robustly with, and is tunable by, polymer concentration. Journal of Rheology. ???: ???. Revision Requested Refereed?: Yes 4. Labuda, A., Kocun, M., Lysy, M., Walsh, T., Meinhold, J., Proksch, T., Meinhold, W., Anderson, C., and Proksch, R.(2016). Calibration of higher eigenmodes of cantilevers. Review of Scientific Instruments. 87(7) Published Refereed?: Yes

203

Dr. Martin Lysy 5. Mellnik, J.W.R., Lysy, M., Vasquez, P.A., Pillai, N.S., Hill, D.B., Crib, J. McKinley, S.A., Forest, M.G. (2016). Maximum likelihood estimation for single particle, passive microrheology data with drift. Journal of Rheology. 60: 379-392. Published Refereed?: Yes 6. Lysy, M., Pillai, N.S., Hill, D.B., Forest, M.G., Mellnik, J., Vasquez, P., and McKinley, S.A.(2016). Model comparison and assessment for single particle tracking in biological fluids. Journal of the American Statistical Association. 111: 1413-1426. Published Refereed?: Yes 7. Partovi Nia,V., Lysy,M., Mouret,G.(2016). No-means clustering: A stochastic variant of k-means. Technometrics. Revision Requested Refereed?: Yes 8. Lysy, M.(2016). Comment on article by Chkrebtii, Campbell, Calderhead, and Girolami. Bayesian Analysis. 11(3) Published Refereed?: Yes 9. Swanson, H.K., Lysy, M., Power, M., Stasko, A.D., Johnson, J.D., and Reist, J.D.(2015). A new probabilistic method for quantifying n-dimensional ecological niches and niche overlap. Ecology. 96(2): 318-324. Published Refereed?: Yes 10. Zhao, H., Poupart, P., Zhang, Y., and Lysy, M.(2015). SoF: soft-cluster matrix factorization for probabilistic clustering. Proceedings of the 29th AAAI Conference on Articial Intelligence. : 3188-3195. Published Refereed?: Yes 11. Gruber, M.A., Fochesatto, G.J., Hartogensis, O.K., and Lysy, M.(2014). Functional derivatives applied to error propagation of uncertainties in topography to large-aperture scintillometer-derived heat fluxes. Atmospheric Measurement Techniques. 7: 2361-2371. Published Refereed?: Yes 12. M. Lysy, N.S. Pillai. (2013). Statistical Inference for Stochastic Differential Equations with Memory. Journal of the Royal Statistical Society Series B. Submitted Refereed?: Yes 13. C.N. Morris, M. Lysy. (2012). Shrinkage Estimation in Multilevel Normal Models. Statistical Science. 27(1): 115-134. Published Refereed?: Yes 14. A. Labuda, M. Lysy, M. Paul, Y. Miyahara, P. Grutter, R. Bennewitz, M. Sutton. (2012). On Stochastic Noise in Atomic Force Microscopy. Physical Review E. 86(3): 1-18. Published Refereed?: Yes 15. S.C. Kou, B. Olding, M. Lysy, J.S. Liu. (2012). A Multiresolution Method for Parameter Estimation of Diffusion Processes. Journal of the American Statistical Association. 107(500): 1558-1574. Published 204

Dr. Martin Lysy Refereed?: Yes 16. A. Labuda, M. Lysy, P. Grutter. (2012). Stochastic Simulation of Tip-Sample Interactions in Atomic Force Microscopy. Applied Physics Letters. 101: 1-4. Published Refereed?: Yes

Manuals

1. Lysy, M., Tong, J., Delaney, N.(2017). msde: Bayesian inference for multivariate stochastic differential equations. Published, Comprehensive R Archive and Network 2. Lysy, M., Kim, P.W.J., and Robinson, T.(2017). MADPop: Statistical assessment of population differences based on the major histocompatibility complex (MHC) genes. Published, Comprehensive R Archive and Network 3. Yates, B., Labuda, A., Lysy, M.(2017). realSHO: Robust and efficient parameter calibration for simple harmonic oscillators. Published, GitHub 4. Ling, Y., Lysy, M.(2017). SuperGauss: Superfast inference for stationary Gaussian time series. Published, Comprehensive R Archive and Network 5. Lysy, M., Stasko, A.D., and Swanson, H.K.(2014). nicheROVER: Bayesian estimation of ecological niche region and niche overlap. Published, Comprehensive R Archive and Network

205

Professor Richmond Wayne Oldford Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees 1980/9 - 1982/8 Doctorate, Statistics, University of Toronto Supervisors: David F. Andrews, 1980/9 - 1982/8; Muni Srivastava, 1979/9 - 1980/ 1978/9 - 1979/8 Master's non-Thesis, Statistics, University of Toronto Supervisors: Muni Srivastava, 1978/9 - 1979/8 1977/ Bachelor's, Statistics; Combinatorics & Optimization, University of Waterloo

User Profile

Research Specialization Keywords: Classification, supervised learning, Cluster analysis, unsupervised learning, Data analysis, Data visualization, dimensionality reduction, manifold learning

Employment 2003/7 Professor (Full) of Statistics Statistics and Actuarial Science, University of Waterloo, University of Waterloo Full-time, Professor Tenure Status: Tenure 1999/7 Professor (cross-appointed Assoc, Full) David R. Cheriton School of Computer Science, Faculty of Mathematics, University of Waterloo Full-time Tenure Status: Tenure 1989/7 Professor (Assoc) of Statistcs Statistics and Actuarial Science, Faculty of Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 1986/9 Professor (Asst) of Statistics Statistics and Actuarial Science, University of Waterloo, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track

206 Professor Richmond Oldford 2010/11 - 2014/6 Director Mathematics Faculty Computing Facility, Faculty of Mathematics, University of Waterloo Full-time Tenure Status: Tenure 2010/11 - 2014/6 Associate Dean (Computing) Dean of Mathematics Office, Faculty of Mathematics, University of Waterloo Full- time Tenure Status: Tenure 2008/7 - 2011/6 UW Senator (elected) University of Waterloo Senate, Faculty of Mathematics, University of Waterloo Part- time Tenure Status: Tenure 2007/7 - 2010/6 Director Centre for Computational Mathematics in Industry and Commerce, Faculty of Mathematics, University of Waterloo Full-time Tenure Status: Tenure 2008/9 - 2010/5 UW Governor (elected to Board) University of Waterloo Board of Governors, University of Waterloo Part- time Tenure Status: Tenure 2003/7 - 2006/6 Director Centre for Computational Mathematics in Industry and Commerce, Faculty of Mathematics, University of Waterloo Full-time Tenure Status: Tenure 1998/7 - 2001/6 Director Mathematics Faculty Computing Facility, Faculty of Mathematics, University of Waterloo Full-time Tenure Status: Tenure 1998/7 - 2001/6 Associate Dean (Computing), Faculty of Mathematics Dean of Mathematics Office, Faculty of Mathematics, University of Waterloo Full- time Tenure Status: Tenure 1996/7 - 1997/6 Associate Chair Statistics and Actuarial Science, Faculty of Mathematics, University of Waterloo Part- time Tenure Status: Tenure 1995/1 - 1995/6 Associate Chair Statistics and Actuarial Science, Faculty of Mathematics, University of Waterloo Part- time Tenure Status: Tenure 1990/7 - 1993/6 Associate Chair Statistics and Actuarial Science, Faculty of Mathematics, University of Waterloo Part- time Tenure Status: Tenure

207 Professor Richmond Oldford 1985/1 - 1986/8 Principal Research Associate Center for Computational Research in Economics and Management Science, Sloan School of Management, Massachusetts Institute of Technology Full- time Tenure Status: Non Tenure Track 1982/9 - 1985/12 Research Associate Center for Computational Research in Economics and Management Science, Sloan School of Management, Massachusetts Institute of Technology Full- time Tenure Status: Non Tenure Track 1984/2 - 1984/5 Sessional Lecturer (grad courses) Department of Mathematics, Massachusetts Institute of Technology Part- time Tenure Status: Non Tenure Track 1977/5 - 1979/8 Survey Methodologist (Junior) Statistics Canada 1976/6 - 1976/8 Statistical Software Programmer Statistical Advisory Services, Agriculture Canada

Research Funding History

Awarded [n=1] 2012/5 - 2017/4 Statistical and computational methodology for visualizing high-dimensional digital data, Principal Investigator Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 62,500 Portion of Funding Received - 100 Funding Competitive?: Yes

Completed [n=2] 2009/5 - 2011/4 Methods for Statistical Data Visualization and Cluster Analysis, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 19,000 Portion of Funding Received - 100 Funding Competitive?: Yes 2010/5 - 2011/4 Clustering methodology for thought networks, Grant Principal Investigator Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Accelerate Total Funding - 90,000 Portion of Funding Received - 100 Funding Competitive?: Yes Collaborator : Wu Zhou

208 Professor Richmond Oldford Student/Postdoctoral Supervision

Bachelor’s Honours [n=1] Principal Supervisor Karen Wohl (Completed) , Massachusetts Institute of Technology

Master’s non-Thesis [n=22] Principal Supervisor Xin (Tracey) Chen (Completed) , University of Waterloo Principal Supervisor Hanna Kazhamiaka (Completed) , University of Waterloo Principal Supervisor Lijie Fu (Completed) , University of Waterloo Co-Supervisor Sheena Zhang (Completed) , University of Waterloo Principal Supervisor Chang-Kee Lee (Completed) , University of Waterloo Principal Supervisor Wu Zhou (Completed) , University of Waterloo Principal Supervisor Qing Li (Completed) , University of Waterloo Principal Supervisor Haijiang (Steven) Shi (Completed) , University of Waterloo Principal Supervisor Glenn Lee (Completed) , University of Waterloo Principal Supervisor Erin McLeish (Completed) , University of Waterloo Principal Supervisor Natasha Wiebe (Completed) , University of Waterloo Present Position: University of Calgary Principal Supervisor Paul Poirier (Completed) , University of Waterloo Principal Supervisor Hugh Chipman (Completed) , University of Waterloo Present Position: Professor, Acadia University Principal Supervisor James E. Adams (Completed) , University of Waterloo Principal Supervisor Greg Anglin (Completed) , University of Waterloo 2017/9 Wenqing Liu (In Progress) , University of Waterloo Principal Supervisor 2017/5 Matthew David Boyd (In Progress) , University of Waterloo Principal Supervisor 2017/1 Alex Wang (In Progress) , University of Waterloo Principal Supervisor 2016/12 - 2017/9 Jiahua Liu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Glyphs and pixel-oriented glyphs for data visualization in R 2016/9 - 2017/8 Zehao Xu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Size proportional Venn and Euler diagrams in 2 and 3 dimensions 2014/9 - 2015/9 Xiaomei Yu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: R package tidy table: A visualization tool for multi-way tables 2013/9 - 2014/9 Amanda Murdoch (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Tracking eye movement when observing statistical graphics.

209 Professor Richmond Oldford Master’s Thesis [n=3] Principal Supervisor Daoxing Wang (Completed) , University of Waterloo Thesis/Project Title: Visual Inference of independence Principal Supervisor Rayan Yahfoufi (Completed) , University of Waterloo 2016/9 - 2018/5 Co- Weicong Ma (All But Degree) , University of Waterloo Supervisor Student Degree Expected Date: 2018/6 Thesis/Project Title: On the Utility of Adding An Abstract Domainand Attribute Paths to SQL

Doctorate [n=9] Co-Supervisor Ruth Urner (Completed) , University of Waterloo Thesis/Project Title: Learning with non-standard supervision Co-Supervisor Yingying Tao (Completed) , University of Waterloo Principal Supervisor Wu Zhou (Completed) , University of Waterloo Thesis/Project Title: A New Framework for Clustering Present Position: RIM Mississauga Principal Supervisor D.G. Anglin (Completed) , University of Waterloo Present Position: Eli Lilly Pharmaceuticals Co-Supervisor Shane Rollans (Completed) , University of Waterloo Present Position: Faculty, Caribou College 2017/9 Zehao Xu (In Progress) , University of Waterloo Principal Supervisor 2013/9 Adam Rahman (All But Degree) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/5 Thesis/Project Title: Data-driven Views through Geometric Graphs Present Position: Data Scientist, ManuLife Toronto 2009/8 - 2010/5 Yingying Tao (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Mining time-changing data streams 2009/7 - 2016/1 Adrian Waddell (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Interactive Visualization and Exploration of High-dimensional Data Editorial Activities 2001/1 - 2006/7 Editor-in-Chief, Statistics and Computing, Journal 1990/ - 2001/ Associate Editor, Statistics and Computing, Journal 1994/ - 1998/ Associate Editor, International Statistical Review, Journal 1990/ - 1993/ Associate Editor, Journal of Computational and Graphical Statistics, Journal Presentations 1. Peter van Beek. (2018). Illuminant estimation using ensembles of multivariate regression trees. IS&T Electronic Imaging: Computational Imaging XVI, Burlingame, CA, United States Main Audience: Knowledge User 2. (2018). Intro to loon, an extendible toolkit for exploratory visualization and data analysis. R Users Montreal 2018, Montreal, Canada Main Audience: Researcher Invited?: Yes

210 Professor Richmond Oldford 3. (2018). Exploratory visualization via extendible interactive graphics. Symposium on Data Science and Statistics, Reston, VA, United States Main Audience: Researcher Invited?: Yes 4. (2017). Statistics: An idiosyncratic/ideosyncratic recollection (Personal reminiscences of an undergraduate from the 1970s)”,. Statistical Society of Canada (Annual Meeting), Winnipeg, MA, Canada Main Audience: Researcher Invited?: Yes 5. Adrian Waddell. (2015). New interactive visualization tools for exploring high dimensional data in R. UseR! 2015, Aalborg, Denmark Main Audience: Researcher Invited?: No, Keynote?: No 6. (2015). Visualizing uncertainty: Problems and Solutions. Data meets Viz (Interactions and Interactivity), Augsburg, Germany Main Audience: Researcher Invited?: Yes 7. Adrian Waddell. (2015). Interactive data visualization using the loon package. UseR! 2015, Aalborg, Denmark Main Audience: Researcher 8. Adrian Waddell. (2015). Loon. Data meets Viz (Interactions and Interactivity), Augsburg, Germany Main Audience: Researcher Invited?: Yes 9. (2011). Visual clustering of high dimensional data by navigating low-dimensional spaces. 2011 Symposium on Advanced Intelligent Systems, Waterloo, Canada Main Audience: Researcher 10. (2011). Graph-Theoretic Methods for Data Visualization 2: Navigating high-dimensional spaces and the RNavGraph R package. 7th Annual Japanese R-users meeting, Japan Main Audience: Researcher 11. Adrian Waddell. (2011). Visual Clustering of High-Dimensional Data by Navigating Low-Dimensional Spaces. World Statistics Conference, 58th Biennial Session of the International Statistical Institute. Special Topics Session: Visualisation of Complex Data Sets, Ireland Main Audience: Researcher 12. Adrian Waddell. (2011). Visual Exploration of high-dimensional data by interactive navigation of lowdimensional spaces. Interface of Computing Science and Statistics, Research Triangle, United States Main Audience: Researcher 13. Adrian Waddell. (2011). RnavGraph: A Visualization Tool for Navigating through High-Dimensional Data Spaces. World Statistics Conference, 58th Biennial Session of the International Statistical Institute Interface of North America, selection, Ireland Main Audience: Researcher 14. A. Waddell and R.W. Oldford. (2011). RnavGraph and the tk canvas widget. useR! Annual Conference, United Kingdom Main Audience: Researcher 15. A. Waddell and R.W. Oldford. (2011). RnavGraph: Interactive Visual Clustering. Statistical Society of Canada, Wolfville, Canada Main Audience: Researcher 16. (2011). Visual Clustering and Ensemble Clustering Methods. 7th Annual Japanese R-users meeting, Japan Main Audience: Researcher

211 Professor Richmond Oldford 17. (2011). Graph-Theoretic Methods for Data Visualization 1: Pairwise Display and PairViz R package. 7th Annual Japanese R-users meeting, Japan Main Audience: Researcher 18. (2011). Visualizing high dimensional data: Applying graph theory to data visualization. Joint 2011 Taipei International Statistical Symposium and the 7th Conference of the Asian Regional Section of the Intl. Assoc. for Stat. Comp, Taipei, Taiwan, Province of China Main Audience: Researcher

Broadcast Interviews 2012/01/18 - Probability of winning Lotto 649, Lottery Probabilities, News, CTV (South=Western 2012/01/18 Ontario)

Publications

Journal Articles

1. Adam Rahman and Wayne Oldford. (2018). Euclidean Distance Matrix Completion and Point Configurations from the Minimal Spanning Tree. SIAM Journal on Optimization. 28(1): 528-550. Published Refereed?: Yes 2. Marius Hofert and Wayne Oldford. (2017). Visualizing Dependence in High-Dimensional Data: An Applicationto S&P 500 Constituent Data. Econometrics and Statistics. In Press Refereed?: Yes, Open Access?: No 3. Wayne Oldford. (2016). Self-calibrating quantile-quantile plots. The American Statistician. 70: 74-90. Refereed?: Yes 4. R.W. Oldford and W. Zhou. (2012). Tree reduced ensemble clustering via a graph algebraic framework. Journal of Classification. Revision Requested Refereed?: Yes 5. M. Chase, A.M. Malik, T. Russell, R.W. Oldford, and P. van Beek. (2012). A Computational Study of Heuristic and Exact Techniques for Superblock Instruction Scheduling. Journal of Scheduling. In Press Refereed?: Yes 6. C.B. Hurley and R.W. Oldford. (2011). Eulerian tour algorithms for data visualization and the PairViz package. Computational Statistics. 26(4): 613-633. Published Refereed?: Yes 7. C.B. Hurley and R.W. Oldford. (2011). Graphs as navigational infrastructure for high dimensional data spaces. Computational Statistics. 26(4): 585-612. Published Refereed?: Yes Conference Publications

1. Peter van Beek and R. Wayne Oldford. (2018). Illuminant estimation using ensembles of multivariate regression trees. Proceedings or the IS&T Electronic Imaging: Computational Imaging XVI. IS&T Electronic Imaging: Computational Imaging XVI, Burlingame, Califoria, United States 212 Professor Richmond Oldford Conference Date: 2018/1 Paper In Press Refereed?: Yes 2. A. Waddell and R.W. Oldford. (2012). Interactive Visual Clustering of High Dimensional Data by Exploring Low-Dimensional Subspaces. IEEE Information Visualization Conference, Poster Accepted 3. A. Waddell and R.W. Oldford. (2011). RnavGraph: A Visualization Tool for Navigating through HighDimensional Data Spaces. Bulletin of the International Statistical Institute, Vol. LVIII, IPS117.02, Paper Published 4. R.W. Oldford and A. Waddell. (2011). Visual Clustering of High-dimensional Data by Navigating Lowdimensional Spaces. Bulletin of the International Statistical Institute, Vol. LVIII, STS057.04, Paper Published Intellectual Property

Patents

1. Methods and System for Modifying Knowledge Representations Using Textual Analysis Rules. United States. 61/471,964. 2011/04/05. Patent Status: Pending 2. Probabilistic Approach for Synthesis of a Semantic Network. United States. 61/430,810. 2011/01/07. Patent Status: Pending 3. Constructing Knowledge Representations Using Atomic Semantics and Probabilistic Model. United States. 61/430,836. 2011/01/07. Patent Status: Pending

213 Dr. M. Tamer Ozsu Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes Degrees - 1983/3 Doctorate, Computer and Information Systems, Ohio State University - 1981/6 Master's Thesis, Computer and Information Science, Ohio State University - 1978/6 Master's Thesis, Industrial Engineering, Middle East Technical University - 1974/6 Bachelor's, Industrial Engineering, Middle East Technical University

Recognitions 2018/1 Fellow American Association for the Advancement of Science Honor For "principled contributions to database systems research, education and service". 2016/1 Fellow Royal Society of Canada Honor From RSC web site: "The fellowship of the RSC comprises distinguished men and women from all branches of learning who have made remarkable contributions in the arts, the humanities and the sciences, as well as in Canadian public life." 2015/5 ACM SIGMOD Test-of-Time Award Association for Computing Machinery Distinction Recognizes that the following paper has had the most impact (research, products, methodology) over the intervening decade since its publication: L. Chen, M.T. Özsu, and V. Oria. ”Robust and Fast Similarity Search for Moving Object Trajectories,” In Proc. ACM SIGMOD International Conference on Management of Data, 2005, pages 491–502. L. Chen was my PhD student and V. Oria was my post-doc. 2014/7 Outstanding Performance Award University of Waterloo Prize / Award performance award 2013/5 - 2016/4 NSERC Accelerator Award - 160,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award "provides substantial and timely additional resources to accelerate progress and maximize the impact of superior research programs."

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Dr. M. Tamer Ozsu 2013/4 - 2016/3 Cheriton Faculty Fellow University of Waterloo Prize / Award A Fellowship from Cheriton School of Computer Science 2013/1 Elected Member, The Science Academy of Turkey The Science Academy of Turkey Honor This is the Royal Society of Canada equivalent in Turkey. 2011/1 Fellow Institute for Electrical and Electronics Engineers Honor For contributions to distributed data management and multimedia database systems User Profile

Research Specialization Keywords: Databases, Distributed systems

Employment 2000/6 Professor Computer Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2014/1 - 2016/6 Associate Dean of Research, Faculty of Mathematics Faculty of Mathematics, University of Waterloo Part-time, Professor Tenure Status: Tenure 2007/1 - 2010/6 Director, Cheriton School of Computer Science Cheriton School of Computer Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 1993/7 - 2000/6 Professor Computing Science, Science, University of Alberta Full-time, Professor Tenure Status: Tenure 2000/2 - 2000/3 Acting Chair Computing Science, Science, University of Alberta Full-time, Professor Tenure Status: Tenure 1994/7 - 1995/6 Acting Chair Computing Science, Science, University of Alberta Full-time, Professor Tenure Status: Tenure 1989/7 - 1993/6 Associate Professor Computing Science, Science, University of Alberta Full-time, Associate Professor Tenure Status: Tenure

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Dr. M. Tamer Ozsu 1984/7 - 1989/6 Assistant Professor Computing Science, Science, University of Alberta Full-time, Assistant Professor Tenure Status: Tenure Track

Leaves of Absence and Impact on Research 2017/1 - 2017/12 Sabbatical, University of Waterloo Sabbatical leave to work on the fourth edition of our book "Principles of Distributed Database Systems" and on new research directions. 2011/9 - 2012/3 Sabbatical, University of Waterloo I was on sabbatical leave at ETH Zürich and collaborated on research projects on stream data processing and data management over new hardware 2010/8 - 2011/3 Sabbatical, University of Waterloo I was on sabbatical leave at the National University of Singapore. During this time, I finished the third edition of our book Principles of Distributed Database Systems, taught a graduate course on the topic (using and debugging our book), and engaged in research on cloud computing

Research Funding History

Awarded [n=4] 2017/1 - 2022/12 Scaling the Cluster Computing Infrastructure for Scalable Big Data Management and Principal Investigator Analysis, Grant Funding Sources: Canada Foundation for Innovation (CFI) CFI Infrastructure Operating Fund Total Funding - 39,000 Portion of Funding Received - 39,000 Funding Competitive?: Yes 2014/5 - 2019/4 RDF Data Management, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 270,000 Portion of Funding Received - 270,000 Funding Competitive?: Yes 2015/8 - 2018/10 Approximate Query Answering over Streaming Microblogs Using Graph Models, Grant Principal Investigator Funding Sources: Google Faculty Research Award Total Funding - 39,000 Portion of Funding Received - 39,000 Funding Competitive?: Yes 2016/5 - 2018/10 Approximate Graph Query Answering over Streaming Microblogs, Grant

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Dr. M. Tamer Ozsu Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative Research and Development Grant Total Funding - 76,545 Portion of Funding Received - 76,545 Funding Competitive?: Yes

Completed [n=10] 2010/1 - 2017/12 Multi-Platform Digital Media Enabling Technologies, Grant Principal Applicant Funding Sources: Ontario Research Fund (ORF) Total Funding - 4,898,045 Portion of Funding Received - 2,693,925 Funding Competitive?: Yes 2014/5 - 2017/4 RDF Data Management, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Accelerator Grant Total Funding - 160,000 Portion of Funding Received - 160,000 Funding Competitive?: Yes 2016/1 - 2016/12 Scaling the Cluster Computing Infrastructure for Scalable Big Data Management and Principal Investigator Analysis, Grant Funding Sources: Ontario Research Fund (ORF) Total Funding - 132,025 Portion of Funding Received - 132,025 Funding Competitive?: Yes Canada Foundation for Innovation (CFI) Total Funding - 132,025 Portion of Funding Received - 132,025 Funding Competitive?: Yes Co-investigator : Ian Munro; Khuzaima Daudjee 2013/1 - 2015/12 Techniques and Systems for Parallel Graph Analysis, Grant Principal Investigator Funding Sources: IBM (CAS) Centre for Advances Studies Total Funding - 28,000 Portion of Funding Received - 28,000 Funding Competitive?: Yes

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Dr. M. Tamer Ozsu 2013/9 - 2014/10 Cluster Computing Infrastructure for Scalable Big Data Management and Analysis, Grant Co-investigator Funding Sources: Ontario Research Fund (ORF) Total Funding - 215,414 Portion of Funding Received - 215,414 Funding Competitive?: Yes Canada Foundation for Innovation (CFI) Leaders Opportunity Fund - Funding for Research Infrastructure Total Funding - 215,414 Portion of Funding Received - 215,414 Funding Competitive?: Yes Co-applicant : Ian Munro; Khuzaima Daudjee 2009/5 - 2014/4 Studies in Advanced Distributed Data Management, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 350,000 Portion of Funding Received - 350,000 Funding Competitive?: Yes 2012/1 - 2013/12 Focusing on Data in Web-Scale Data Integration, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC Business Intelligence Strategic Network Total Funding - 43,000 Portion of Funding Received - 21,500 Funding Competitive?: Yes Co-applicant : Ashraf Aboulnaga 2012/1 - 2013/12 Modeling and Querying Uncertainty in Record De-duplication and Repairing FD Violations, Principal Applicant Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC Business Intelligence Strategic Network Total Funding - 62,000 Portion of Funding Received - 31,000 Funding Competitive?: Yes Co-applicant : Ihab F. Ilyas 2009/1 - 2011/12 Change Detecting and Mining of Dynamic Data Streams, Grant Principal Investigator Funding Sources: IBM (CAS) Centre for Advances Studies Total Funding - 84,000 Portion of Funding Received - 84,000 Funding Competitive?: Yes

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Dr. M. Tamer Ozsu 2011/1 - 2011/12 Modeling and Querying Uncertainty in Record De-duplication, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC Business Intelligence Strategic Network Total Funding - 52,000 Portion of Funding Received - 26,000 Funding Competitive?: Yes Co-applicant : Ihab F. Ilyas

Student/Postdoctoral Supervision

Bachelor’s [n=8] 2017/9 - 2017/12 Runsheng Guo (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Experiments in distributed graph processing systems Present Position: Student 2017/9 - 2017/12 Boshen Cui (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Design of graph profiling tools Present Position: Student 2017/5 - 2017/8 Anselme Goetschmann, University of Waterloo Principal Supervisor Thesis/Project Title: Evaluating graph processing systems Present Position: Student 2017/5 - 2017/8 Anzo Zhao Yang Teh, University of Waterloo Principal Supervisor Thesis/Project Title: Algorithms for parallel connected component computation over property graphs Present Position: Student 2017/5 - 2017/8 Heli Wang, University of Waterloo Principal Supervisor Thesis/Project Title: Experiments on distributed graph processing systems Present Position: Student 2017/5 - 2017/12 Zhuoran Yu, University of Waterloo Principal Supervisor Thesis/Project Title: Data partitioning in streaming graph systems Present Position: Student 2017/5 - 2017/8 Weiyan Zhu, University of Waterloo Principal Supervisor Thesis/Project Title: Large-Scale experimentation with graph processing systems Present Position: Student 2017/5 - 2017/8 Vincent Luong (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Capturing graph characteristics Present Position: Student Master’s non-Thesis [n=1] 2008/9 - 2014/10 Ning Zhang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Non-thesis Present Position: Software Engineer, Google Canada

Master’s Thesis [n=3] 2015/9 - 2018/6 Libo Gao (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Stream WatDiv - A Streaming RDF Benchmark Present Position: Wish, Toronto

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Dr. M. Tamer Ozsu 2015/9 - 2018/6 Yan Zhang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Efficient Structure-Aware Query Processing over Large Property Graphs Present Position: Unknown 2012/5 - 2013/10 Yuke Yang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: ViewDF: a Flexible Framework for Incremental View Maintenance in Stream Present Position: Software Engineer, Kobo Inc Doctorate [n=9] 2017/9 - 2022/12 Aida Sheshbolouki (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: To be determined Present Position: PhD student 2016/9 - 2017/4 Youhuan Li, Peking University Academic Advisor Thesis/Project Title: Time-Constrained Continuous Subgraph Search over Streaming Graphs Present Position: PhD Student, Peking University 2015/9 - 2020/12 Anil Pacaci (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Streaming Graph Data Management Present Position: PhD Student, University of Waterloo 2013/1 - 2020/12 Zeynep Korkmaz (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Semantic Caching in Graph Data Management Systems Present Position: PhD Student, University of Waterloo 2011/9 - 2018/12 Khaled Ammar (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Parallel Graph Data Management Present Position: PhD Student, University of Waterloo 2009/10 - 2011/3 Tao Chen (Completed) , National University of Defense Technology, China Academic Advisor Thesis/Project Title: Multi-top-k queries over uncertain data streams Present Position: Researcher, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, China 2009/9 - 2015/9 Gunes Aluc (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Scalable, Adaptive, and Distributed RDF Data Management Present Position: SAP, Waterloo, Canada 2007/1 - 2012/6 Patrick Kling (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Distributed XML Query Evaluation Present Position: Google, Waterloo, Canada 2005/9 - 2012/6 Yingying Tao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Mining Data Streams with Distribution Changes Present Position: CI Investments, Toronto, Canada

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Dr. M. Tamer Ozsu Post-doctorate [n=4] 2017/10 - 2019/9 Guoqing Xiao (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Parallel and Distributed Processing of Very Large RDF Datasets Present Position: Post-doctoral Fellow, University of Waterloo 2015/12 - 2018/11 Xiaofei Zhang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Answering Queries over Heterogeneous Graph Data Present Position: Post-doctoral Fellow, University of Waterloo 2015/10 - 2018/9 Bojana Bislimovska (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Analysis of Social Network Data Using Graph Models Present Position: Post-doctoral Fellow, University of Waterloo 2012/11 - 2014/10 Olaf Hartig (Completed) , Univesity of Waterloo Principal Supervisor Thesis/Project Title: Querying the Web Present Position: Assistant Professor, Linkoping University, Sweden

Event Administration 2018/6 - 2019/7 Program Committee Member, ACM International Conference on Management of Data, Conference, 2019/6 - 2019/7 2017/9 - 2019/5 General Co-Chair, 35th IEEE International Conference on Management of Data, Conference, 2019/4 - 2019/4 2017/6 - 2018/6 Program Committee Member, ACM International Conference on Management of Data, Conference, 2018/6 - 2018/6 2016/7 - 2017/8 Program Co-Chair, 8th IEEE International Conference on Big Knowledge, Conference, 2017/7 - 2017/7 2017/1 - 2017/7 General Co-Chair, APWeb-WAIM Joint Conference on Web and Big Data, Conference, 2017/7 - 2017/7 2016/6 - 2017/5 Program Committee Member, ACM International Conference on Management of Data, Conference, 2017/5 - 2017/5 2016/3 - 2016/10 Program Committee Member, International Conference on Similarity Search and Applications, Conference, 2016/10 - 2016/10 2016/1 - 2016/9 General Co-Chair, 18th Asia-Pacific Web Conference, Conference, 2016/9 - 2016/9 2015/6 - 2016/6 Program Committee Member, ACM International Conference on Management of Data, Conference, 2016/6 - 2016/6 2015/7 - 2016/5 Program Committee Member, IEEE International Conference on Data Engineering, Conference, 2016/5 - 2016/5 2014/6 - 2015/4 Program Committee Member, IEEE International Conference on Data Engineering, Conference, 2015/4 - 2015/4 2014/7 - 2015/2 Program Committee Member, International Conference on Big Data and Smart Computing, Conference, 2015/2 - 2015/2 2014/7 - 2014/12 Program Committee Member, International Conference on Principles of Distributed Systems, Conference, 2014/12 - 2014/12 2014/1 - 2014/10 Program Committee Member, IEEE International Conference on Big Data, Conference, 2014/10 - 2014/10

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Dr. M. Tamer Ozsu 2013/7 - 2014/6 Program Committee Chair, ACM SIGMOD International Conference on Management of Data, Conference, 2014/6 - 2014/6 2013/1 - 2013/3 Program Committee Area Chair, ACM International Conference on Management of Data, Conference, 2013/6 - 2013/6 2010/1 - 2012/12 Honorary General Chair, 38th International Conference on Very Large Data Bases, Conference, 2012/8 - 2012/8 2012/1 - 2012/8 Program Committee Member, International Workshop on End-to-End Management of Big Data, Workshop, 2012/8 - 2012/8 2011/9 - 2012/5 Program Committee Co-Chair, ACM SIGMOD/PODS PhD Symposium, Workshop, 2012/5 - 2012/5 2011/7 - 2012/4 Program Committee Member, 28th IEEE International Conference on Data Engineering, Conference, 2012/4 - 2012/4 2010/7 - 2011/4 Program Committee Vice-Chair, IEEE International Conference on Data Engineering, Conference, 2011/4 - 2011/4

Editorial Activities 2013/1 - 2020/12 Editorial Board Member, Knowledge and Information Systems, Book 2011/1 - 2020/12 Advisory Board Member, International Journal for Next-Generation Computing, Journal 2005/1 - 2020/12 Co-Editor-in-Chief, Encyclopedia of Database Systems, Springer, Book 2005/1 - 2020/12 Editorial Board Member, Web Information Systems Engineering and Internet Technologies book series, Book 2001/1 - 2020/12 Editorial Board Member, World Wide Web Journal, Journal 2001/1 - 2020/12 Editorial Board Member, Advanced Information and Knowledge Processing book series, Book 2018/4 - 2019/9 Associate Editor, Proceedings of VLDB Endowment, Journal 2013/6 - 2019/6 Founding Editor-in-Chief, ACM Book Series, Book 2016/4 - 2017/9 Review Committee Member, Proceedings of VLDB Endowment, Journal 2011/4 - 2015/9 Review Committee Member, Proceedings of VLDB Endowment, Journal 2010/1 - 2013/12 Editorial Board Member, Journal of Information and Data Management, Journal 2007/1 - 2013/12 Senior Advisory Board Member, ACM Journal on Data and Information Quality, Journal 2009/1 - 2013/5 Founding Series Editor-in-Chief, Synthesis Lectures on Data Management, Morgan & Claypool, Book 1997/1 - 2013/1 Editorial Board Member, Information Technology & Management, Journal 1993/1 - 2012/12 Editorial Board Member, Distributed and Parallel Databases, Journal

Organizational Review Activities 2018/9 - 2018/9 Member, Hong Kong University of Science and Technology Review of School of Engineering 2015/10 - 2015/10 Member, National Institute of Informatics, Japan Review of NII activities

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Dr. M. Tamer Ozsu 2014/11 - 2014/11 Chair, Hong Kong University of Science and Technology Review of Department of Computer Science and Engineering 2013/9 - 2013/9 Committee Member, Hong Kong University of Science and Technology Review of School of Engineering

Committee Memberships 2017/9 Committee Member, Technical Advisory Board, National Engineering Laboratory for Big Data Software, Tsinghua University 2017/1 Committee Member, Advisory Board, Big Data Institute, Hong Kong University of Science and Technology 2011/1 Committee Member, International Advisory Board Member, National Institute of Informatics 2017/1 - 2020/1 Committee Member, Advisory Board, School of Engineering, Hong Kong Univ of Science & Technology 2014/1 - 2019/12 Committee Member, City University of Hong Kong Multimedia Software Engineering Research Center Technical Expert Advisory Committee, City University of Hong Kong 2002/1 - 2017/9 Committee Member, Publications Board, Association for Computing Machinery 2014/1 - 2017/1 Chair, Department of Computer Science and Engineering Advisory Board, Hong Kong University of Science and Technology 2013/7 - 2014/12 Committee Member, CRA Committee on Best Practices in Scholarship, Promotion, and Tenure, Computer Research Association This committee drafted a CRA best-practices memo that recommends guidelines for (i) scholarly practices in computing and information science and engineering and (ii) evaluating scholarship and professional service for new hires and promotions. The memo is available at https://cra.org/resources/best-practice-memos/incentivizing-quality- andimpact-evaluating-scholarship-in-hiring-tenure-and-promotion/ 2009/1 - 2013/12 Committee Member, Advisory Board, School of Engineering, Hong Kong University of Science and Technology 2009/1 - 2013/6 Committee Member, Board of Computer Research Association, Computer Research Association 2009/1 - 2012/12 Committee Member, Advisory Board, Department of Computer Science, Hong Kong University of Science and Technology Presentations 1. (2018). Web Data Management in RDF Age. IEEE International Conference on Big Data and Smart Computing, Shanghai, China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 2. (2017). Web Data Management in the RDF Age. Hefei University of Technology, Hefei, China Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2017). Approaches to RDF Data Management and SPARQL Query Processing. Inria & Laboratoire d’Informatique, de Robotique et de Microelectronique de Montpellier, Montpellier, France Main Audience: Researcher Invited?: Yes, Keynote?: No

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Dr. M. Tamer Ozsu 4. (2017). Web Data Management in RDF Age. IEEE International Conference on Distributed Computing Systems, Atlanta, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 5. (2016). Web Data Management in RDF Age. 20th International Database Engineering & Applications Symposium, Ottawa, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 6. (2016). Graph Analytics Platforms. Huawei Strategy and Technology Workshop, Shenzhen, China Main Audience: Knowledge User Invited?: Yes, Keynote?: No 7. (2016). An Introduction to Graph Analytics Platforms. Spring School on Models, Systems, and Algorithms for Role-based Business Intelligence Applications, Dagstuhl, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2015). Web Data Management in RDF Age. University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2015). An Overview of Graph Data Management and Analysis. Croucher Advanced Study Institute: Frontiers in Big Graph Research, Hong Kong, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2015). Web Data Management in RDF Age. University of Alberta, Department of Computer Science, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2015). Web Data Management in RDF Age. 1st International Forum on Big Search, Melbourne, Australia Main Audience: Researcher Invited?: Yes, Keynote?: Yes 12. (2015). An Overview of Graph Data Management and Analysis. Australian Database Conference PhD School, Melbourne, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2014). Web Data Management in RDF Age. Polytechnic University of Hong Kong, Hong Kong, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2014). Web Data Management in RDF Age. Inria Saclay, Saclay, France Invited?: Yes, Keynote?: No 15. (2014). Personal Reflections on Academic Research and Publishing. PhD Workshop, 40th Int. Conf. on Very Large Databases, Hangzhou, China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 16. (2014). Web Data Management in RDF Age. Multimedia Software Engineering Research Centre of City University of Hong Kong, Shenzhen, China Invited?: Yes, Keynote?: No 224

Dr. M. Tamer Ozsu 17. (2014). Web Data Management in RDF Age. Modern Database Systems Summit, Tsinghua University, Beijing, China Main Audience: Researcher Invited?: Yes, Keynote?: No 18. (2014). Web Data Management in RDF Age. Peking University, Institute of Computer Science & Technology, Beijing, China Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). An Experimental Comparison of Pregel-like Graph Processing Systems. OPODIS Workshop, Paris, France Main Audience: Researcher Invited?: Yes, Keynote?: No 20. (2014). Personal Reflections on Academic Research and Publishing. PhD Symposium, 40th Int. Conf. on Very Large Data Bases, Hangzhou, China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 21. (2013). Reflections on Academic Research and Publishing. 2013 ACM SIGMOD/PODS PhD Symposium, New York, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 22. (2013). gStore: A Graph-based SPARQL Query Engine. Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 23. (2013). gStore: A Graph-based SPARQL Query Engine. University of Tokyo, Tokyo, Japan Main Audience: Researcher Invited?: Yes, Keynote?: No 24. (2013). gStore: A Graph-based SPARQL Query Engine. Seoul National University, Seoul, Korea, Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2013). gStore: A Graph-based SPARQL Query Engine. SAP Labs Korea, Seoul, Korea, Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 26. (2012). RDF Data Management. University of Manitoba, Department of Computer Science, Winnipeg, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2012). RDF Data Management. Universita degli Studi dell’Insubria, Como, Italy Main Audience: Researcher Invited?: Yes, Keynote?: No 28. (2012). RDF Data Management. University of Pennsylvania, Department of Computer Science Distinguished Lecture, Philadelphia, United States Main Audience: Researcher 225

Dr. M. Tamer Ozsu Invited?: Yes, Keynote?: No 29. (2012). RDF Data Management. Technical University of Munich, Munich, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 30. (2012). RDF Data Management. Ludwig-Maximilians-Universität München, Munich, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 31. (2012). RDF Data Management. University of Zurich, Department of Computer Science, Zurich, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 32. (2012). Internet-Scale Data Distribution: Some Research Problems. University of Basel, Basel, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 33. (2012). RDF Data Management. Politecnico di Milano, Milano, Italy Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Sahu S*, Mhedhbi A*, Salihoglu S, Lin J, Özsu MT. (2018). The ubiquity of large graphs and surprising challenges of graph processing. Proc. VLDB Endowment. 11(4): 420–431. Published Refereed?: Yes, Open Access?: Yes 2. Zou L, Özsu MT. (2017). Graph-based RDF data management. Data Science and Engineering. 2(1): 56– 70. Published Refereed?: Yes, Open Access?: Yes 3. Yang Y*, Golab L, Özsu MT. (2017). ViewDF: Declarative incremental view maintenance for streaming data. Information Systems. 71: 55 – 6. Published Refereed?: Yes, Open Access?: No 4. Peng P, Zou L, Özsu MT, Chen L, Zhao DT. (2016). Processing SPARQL Queries Over Distributed RDF Graphs. VLDB Journal. 25(2): 243–268. Published Refereed?: Yes, Open Access?: No 5. Yan D, Cheng J, Özsu MT, Yang F, Lu Y, Liu JCS, Zhang Q, Ng W. (2016). A General-Purpose QueryCentric Framework for Querying Big Graphs. Proc. VLDB Endowment. 9(7): 564 – 575. Published Refereed?: Yes, Open Access?: Yes 6. Özsu MT. (2016). A survey of RDF data management systems. Frontiers of Computer Science. 10(3): 418– 432. Published

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Dr. M. Tamer Ozsu Refereed?: Yes, Open Access?: No 7. Balkesen C*, Teubner J, Alonso G, Özsu MT. (2015). Main-memory hash joins on modern processor architectures. IEEE Transactions on Knowledge and Data Engineering. 27(7): 1041-4347. Published Refereed?: Yes, Open Access?: No 8. Li F, Ooi BC, Özsu MT, Wu S. (2014). Distributed data management using MapReduce. ACM Computing Surveys. 46(3) Published Refereed?: Yes, Open Access?: No 9. Han M*, Daudjee K, Ammar K*, Özsu MT, Wang X*, Jin T*. (2014). An Experimental Comparison of Pregellike Graph Processing Systems. Prov. VLDB Endowment. 7(12): 1047-1058. Published Refereed?: Yes, Open Access?: Yes 10. Aluç G*, Özsu MT, and Daudjee K. (2014). Workload Matters: Why RDF Databases New a New Design. Proc. VLDB Endowment. 7(10): 837 - 840. Published Refereed?: Yes, Open Access?: Yes 11. Chairunnanda P*, Daudjee K, and Özsu MT. (2014). ConfluxDB: Multi-Master Replication for Partitioned Snapshot Isolation Databases. Proc. VLDB Endowment. 7(11): 947-958. Published Refereed?: Yes, Open Access?: Yes 12. Zou L, Özsu MT, Chen L, Sheng X, Huang R, and Zhao D. (2014). gStore: A Graph-based SPARQL Query Engine. VLDB Journal. 23(4): 565–590. Accepted Refereed?: Yes, Open Access?: No 13. Balkesen C*, Teubner J*, Alonso G, Özsu MT. (2013). Multi-Core, Main-Memory Joins: Sort vs. Hash Revisited. Proc. VLDB Endowment. 7(1): 85–96. Published Refereed?: Yes, Open Access?: Yes 14. Chen T*, Chen L, Özsu MT, Xiao N. (2012). Optimizing multi-top-k queries over uncertain data streams. IEEE Trans. Knowl. and Data Eng.25(8): 1814-1829. Published Refereed?: Yes, Open Access?: No 15. Zou L*, Chen L, Özsu MT, Zhao D. (2012). Answering pattern match queries in large graph databases via graph embedding. VLDB J.21(1): 97-120. Published Refereed?: Yes, Open Access?: No

Books

1. Özsu MT and Valduriez P. (2018). Principles of Distributed Database Systems. 4: 550. In Press, Springer Refereed?: No 2. No authors. (2018). Encyclopedia of Database Systems, 2nd edition. 1: 4100. Liu L, Özsu MT. In Press, Springer Refereed?: No 227

Dr. M. Tamer Ozsu Book Chapters

1. Özsu MT, Valduriez P. (2013). Distributed and parallel database systems. Tucker AB, Topi H. Computing Handbook Set – Information Systems and Information Technology. 3(2): to appear. In Press, CRC Press Refereed?: Yes

Conference Publications

1. Pacaci A*, Zhou A*, Lin J, and Özsu MT. (2017). Do we need specialized graph databases?: Benchmarking real-time social networking applications. 5th International Workshop on Graph Data Management Experiences and Systems, Chicago, United States (12:1–12:7) Conference Date: 2017/5 Paper Published Refereed?: Yes, Invited?: No 2. Hartig O* and Özsu MT. (2016). Walking without a map :Ranking-based traversal forquerying linked data. 15th International Semantic Web Conference, Kobe, (305–324) Conference Date: 2016/10 Paper Published Refereed?: Yes, Invited?: No 3. Bislimovska B*, Aluc G*, Ozsu MT, Fraternali P. (2015). Graph search of software models using multidimensional scaling. EDBT Workshops, Paper Published Refereed?: Yes, Invited?: No 4. Yang Y*, Golab L, and Özsu MT. (2015). ViewDF: declarative incremental viewmaintenance for streaming data. Enabling Real-Time Business Intelligence, Kohala, Hawaii, United States Conference Date: 2015/8 Paper Published Refereed?: Yes, Invited?: No 5. Aluç G*, Özsu MT, Daudjee K, and Hartig O*. (2015). Executing Queries over Schemaless RDF Databases. 31st International Conference on Data Engineering, Conference Date: 2015/4 Paper Published Refereed?: Yes, Invited?: No 6. Aluç G*, Hartig O*, Özsu MT, and Daudjee K. (2014). Diversified Stress Testing of RDF Data Management Systems. 13th International Semantic Web Conference, Conference Date: 2014/10 Paper Published Refereed?: Yes, Invited?: No 7. Hartig O* and Özsu MT. (2014). Reachable Subwebs for Traversal-Based Query Execution. 23rd International World Wide Web Conference, Conference Date: 2014/4 Paper 228

Dr. M. Tamer Ozsu Published Refereed?: Yes, Invited?: No 8. Li F, Özsu MT, Chen G, and Ooi BC. (2014). R-Store: A Scalable Distributed System for Supporting Realtime Analytics. Proc. 30th IEEE International Conference on Data Engineering, (40-51) Conference Date: 2014/3 Paper Published Refereed?: Yes, Invited?: No 9. Ammar K* and Özsu MT. (2013). WGB: Towards a Universal Graph Benchmark. 4th Workshop on Big Data Benchmarking, Conference Date: 2013/10 Paper Published Refereed?: Yes, Invited?: No 10. Balkesen C*, Tatbul N, Özsu MT. (2013). Adaptive Input Admission and Management for Parallel Stream Processing. 2013. 7th ACM International Conference on Distributed Event-Based Systems, Arlington, United States (15-26) Conference Date: 2013/6 Paper Published Refereed?: Yes, Invited?: No 11. Balkesen C*, Teubner J, Alonso G, and Özsu MT. (2013). Main-Memory Hash Joins on Multi-Core CPUs: Tuning to the Underlying Hardware. 29th IEEE International Conference on Data Engineering, Conference Date: 2013/4 Paper Published Refereed?: Yes, Invited?: No 12. Balkesen C*, Teubner J, Alonso G, Özsu MT. (2013). Efficient main-memory hash joins on multi-core CPUs: Tuning to the underlying hardware. Proc. 29th Int. Conf. on Data Engineering. 29th Int. Conf. on Data Engineering, Australia (362–373) Conference Date: 2013/4 Paper Published Refereed?: Yes, Invited?: No

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Dr. Pascal Poupart Cheriton School of Computer Science

Language Skills Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes Yes Yes Yes

Degrees - 2005/6 Doctorate, Computer Science, University of Toronto Supervisors: Craig Boutilier, 2000/9 - 2005/6 - 2000/12 Master's Thesis, Computer Science, University of British Columbia Supervisors: Craig Boutilier, 1998/9 - 2000/12 - 1998/5 Bachelor's, Mathematics and Computer Science, McGill University

Recognitions 2017/8 Best student paper award runner up The International Conference on Theory and Applications of Satisfiability Testing (SAT) Prize / Award Best student paper award runner up 2017/5 Outstanding Performance Award University of Waterloo Prize / Award Top twentieth percentile of faculty members in Computer Science at U of Waterloo 2016/11 Huawei outstanding collaborator award Huawei Technology Prize / Award Huawei outstanding collaborator award 2016/7 Best main track solver and best application solver The International Conference on Theory and Applications of Satisfiability Testing (SAT) Prize / Award Best main track solver and best application solver 2016/6 Outstanding reviewer award International Conference on Machine Learning Prize / Award Outstanding reviewer award 2015/12 Outstanding reviewer award Neural Information Processing Systems Prize / Award

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Dr. Pascal Poupart Outstanding reviewer award 2015/5 David R. Cheriton Faculty Fellowship University of Waterloo Prize / Award Faculty fellowship 2013/5 Outstanding performance award University of Waterloo Prize / Award Top twentieth percentile of faculty members in Computer Science at U Waterloo

User Profile

Research Specialization Keywords: Artificial Intelligence, Assistive Technologies, Computational Statistics, Computer Science, Conversational Agents, Deep Learning, Health Informatics, Language Processing, Machine Learning, Markov Decision Process, Probabilistic Reasoning, Reinforcement Learning, Sum-Product Networks

Employment 2017/10 Scientific Advisor Huawei Technology 2017/7 Professor David R. Cheriton School of Computer Science, University of Waterloo Full-time, Professor Tenure Status: Tenure 2017/7 Scientific Advisor ElementAI 2017/4 Scientific Advisor ProNavigator 2017/1 Scientific Advisor TalkIQ 2009/8 - 2017/6 Associate Professor Computer Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2015/3 - 2015/4 Visiting Professor Hong Kong University of Science and Technology 2014/9 - 2015/4 Visiting Scholar Research, Huawei Noah's Ark Lab Research in Machine Learning 2011/2 - 2011/4 Visiting Scholar Machine Learning and Optimization, NICTA 2004/8 - 2009/7 Assistant Professor Computer Science, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track

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Dr. Pascal Poupart 1998/5 - 1998/8 Programmer (internship) Research Department, Lockheed Martin 1997/5 - 1997/8 Programmer (internship) Research & Development, Cogni-CASE 1996/5 - 1996/8 Programmer (internship) Research & Development, Cogni-CASE 1995/5 - 1995/8 Computing Support (internship) Teleglobe Canada

Leaves of Absence and Impact on Research 2014/9 - 2015/2 Sabbatical, Huawei Noah's Ark Lab Visiting professor at Huawei Noah's Ark in Hong Kong. I conducted industrial research that has lead to an important research collaboration. 2011/2 - 2011/7 Sabbatical, NICTA, Australia Visiting professor at NICTA (Australia's governmental research institute for information technology).

Research Funding History

Awarded [n=3] 2013/5 - 2019/4 Lifelong Machine Learning and Sequential Decision Making for Natural Language Principal Investigator Interfaces, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery grant Total Funding - 264,000 Portion of Funding Received - 264,000 Funding Competitive?: Yes 2017/5 - 2019/4 Machine Learning for Telecomunication Networks and Natural Language Understanding, Principal Investigator Grant Funding Sources: Huawei Technologies Total Funding - 526,534 Portion of Funding Received - 526,534 Funding Competitive?: Yes 2018/1 - 2018/12 Deep Reinforcement Learning for Semi-Autonomous & Autonomous Vehicle Applications, Principal Investigator Grant Completed [n=18] Funding Sources: Ford Total Funding - 63,657 Portion of Funding Received - 63,657 Funding Competitive?: Yes

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Dr. Pascal Poupart 2016/1 - 2017/12 Hockey Game Event Recognition and Data Analytics, Grant Principal Investigator Funding Sources: HockeyTech Total Funding - 191,700 Portion of Funding Received - 95,850 Funding Competitive?: Yes Ontario Centres of Excellence VIP-II Total Funding - 150,000 Portion of Funding Received - 75,000 Funding Competitive?: Yes 2016/9 - 2017/8 Sustainable Behaviour Change to Promote Physical Activity, Grant Principal Investigator Funding Sources: Propel Center for Population Health Impact Catalyst grant Total Funding - 10,000 Portion of Funding Received - 10,000 Funding Competitive?: Yes 2016/9 - 2017/8 Harnessing Psychological Insights and Mobile Technologies to Detect Stress-Related Co-investigator Risk Factors for Mental Health, Grant Funding Sources: Propel Centre for Population Health Impact, Catalyst grant Total Funding - 10,000 Portion of Funding Received - 3,000 Funding Competitive?: Yes 2016/1 - 2016/12 Adaptive recognition and promotion of physical activity for older adults, including stroke Principal Investigator survivors, Grant Funding Sources: UW Network for Aging Research Catalyst grant Total Funding - 10,000 Portion of Funding Received - 5,000 Funding Competitive?: Yes 2015/12 - 2016/12 Machine Learning Theory and Applications in Communication Networks and Natural Principal Investigator Language Processing, Grant Funding Sources: Huawei Technologies Total Funding - 257,800 Portion of Funding Received - 257,800 Funding Competitive?: Yes

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Dr. Pascal Poupart 2012/9 - 2016/8 Computational Health Informatics Laboratory, Grant Co-investigator Funding Sources: Canada Foundation for Innovation (CFI) Leaders Opportunity Fund Total Funding - 442,330 Portion of Funding Received - 147,443 Funding Competitive?: Yes Co-investigator : Daniel Lizotte; Principal Investigator : Hoey, Jesse 2014/8 - 2015/9 Adaptive and Emotionally Aware Chatbots, Grant Principal Investigator Funding Sources: Kik Interactive Total Funding - 67,500 Portion of Funding Received - 33,750 Funding Competitive?: Yes Mathematics of Information Technology and Complex Systems (MITACS) Accelerate grant Total Funding - 67,500 Portion of Funding Received - 33,750 Funding Competitive?: Yes 2014/6 - 2015/2 Machine Learning Techniques for Visual Product Search, Grant Principal Investigator Funding Sources: Slyce Total Funding - 29,000 Portion of Funding Received - 29,000 Funding Competitive?: Yes Natural Sciences and Engineering Research Council of Canada (NSERC) Engage grant Total Funding - 25,000 Portion of Funding Received - 25,000 Funding Competitive?: Yes 2014/1 - 2014/6 Feature Extraction and Event/Trend Detection in Social Media Messages, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Engage grant Total Funding - 25,000 Portion of Funding Received - 25,000 Funding Competitive?: Yes In The Chat Total Funding - 16,640 Portion of Funding Received - 16,640 Funding Competitive?: Yes

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Dr. Pascal Poupart 2013/10 - 2014/3 Adaptive Prompting to Promote Activity for Residents of Retirement Living, Grant Principal Investigator Funding Sources: NexJ Systems Total Funding - 19,200 Portion of Funding Received - 19,200 Funding Competitive?: Yes Natural Sciences and Engineering Research Council of Canada (NSERC) Engage grant Total Funding - 25,000 Portion of Funding Received - 25,000 Funding Competitive?: Yes 2013/1 - 2013/12 Prompting activity for dementia prevention in retirement living: a technological approach, Co-investigator Grant Funding Sources: PROPEL Center for Population Health Impact seed grant Total Funding - 10,000 Portion of Funding Received - 2,000 Funding Competitive?: Yes 2013/1 - 2013/12 Adaptive Dialogue Techniques for Chatbots, Grant Principal Investigator Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Accelerate Total Funding - 67,500 Portion of Funding Received - 33,750 Funding Competitive?: Yes Kik Interactive Total Funding - 51,334 Portion of Funding Received - 25,667 Funding Competitive?: Yes 2012/4 - 2013/7 Development of a smartphone-based sensor system to assess everyday movement, Principal Investigator speech, and sleep for stroke recovery, Grant Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Elevate Total Funding - 70,000 Portion of Funding Received - 70,000 Funding Competitive?: Yes 2008/5 - 2013/4 Prior Knowledge Elicitation and Policy Explanation for Decision-Theoretic Planning and Principal Investigator Learning, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 125,000 Portion of Funding Received - 125,000 Funding Competitive?: Yes

235 Dr. Pascal Poupart 2008/5 - 2013/4 Planning and Feature Extraction in Partially Observable Domains with Rich Sensors, Principal Investigator Grant Funding Sources: Ontario Ministry of Research and Innovation (ON) Early researcher award Total Funding - 190,000 Portion of Funding Received - 190,000 Funding Competitive?: Yes 2011/1 - 2011/12 Decision-theoretic models for corrective maintenance learned from user experience, Grant Principal Investigator Funding Sources: Intel (USA) Total Funding - 22,500 Portion of Funding Received - 22,500 Funding Competitive?: No 2010/12 - 2011/11 Labeling web documents using statistical topic models based on priors extracted from Principal Investigator Wikipedia, Grant Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) Elevate Total Funding - 70,000 Portion of Funding Received - 70,000 Funding Competitive?: Yes 2008/9 - 2011/8 Composite Behavioural Markers to Assess and Monitor Alzheimer’s Disease, Grant Principal Investigator Funding Sources: Alzheimer's Association (The) Every day technologies in Alzheimer care (ETAC) Total Funding - 200,000 Portion of Funding Received - 50,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Master’s non-Thesis [n=4] 2017/9 - 2018/8 Kira Selby (In Progress) , Univeristy of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: Master's student, University of Waterloo 2013/5 - 2014/12 Pei Pei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximate Linear Programming for ConstrainedPartially Observable Markov Decision Processes Present Position: Software Engineer, Desire2Learn 2012/9 - 2013/12 Adam Hartfiel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Vision-based gait monitoring with a smart walker Present Position: Software Engineer, In The Chat

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Dr. Pascal Poupart 2011/1 - 2012/12 Wei-Shou Hsu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Online Bayesian Moment Matching for TopicModeling with Unknown Number of Topics Present Position: Software Engineer Master’s Thesis [n=7] 2016/9 - 2018/8 Timmy Tse (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: Master's student, University of Waterloo 2016/5 - 2018/4 Brandon Alcox (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: Master's student, University of Waterloo 2015/9 - 2017/8 Alexandra Wytsma (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Naïve Bayes Data Complexity and Characterizationof Optima of the Unsupervised Expected Likelihood Present Position: Data Scientist, Shopify 2015/1 - 2018/8 Pan Pan Cheng (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: Master's student, University of Waterloo 2013/9 - 2015/6 Han Zhao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On the Relationship Between Sum-Product Networks andBayesian Networks Present Position: PhD student, Carnegie Mellon University 2009/9 - 2011/8 Richard Hu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Vision-based 3D Observation Models for Lower Limb 3DTracking with a Moving Platform Present Position: Software Engineer, Microsoft 2009/1 - 2011/8 Ting Liu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Bayesian Unsupervised Labeling of Web DocumentClusters Present Position: Software Engineer, Google

Doctorate [n=12] 2017/9 - 2021/8 Guojun Zhang (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: PhD student, University of Waterloo 2017/9 - 2021/8 Paulo Pacheco (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Thesis title undecided Present Position: PhD student, University of Waterloo 2017/9 - 2021/8 Joseph Scott (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Thesis title undecided Present Position: PhD Student, University of Waterloo 2017/9 - 2021/8 Mike Rudd (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Thesis title undecided Present Position: PhD student 2016/5 - 2020/4 Nabiha Asghar (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: thesis title undecided Present Position: PhD student, University of Waterloo

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Dr. Pascal Poupart 2015/9 - 2019/8 Priyank Jaini (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: thesis title undecided Present Position: PhD student, University of Waterloo 2014/1 - 2018/12 Abdullah Rashwan (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: thesis title undecided Present Position: PhD student, University of Waterloo 2009/9 - 2016/6 Mazen Melibari (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Directly Learning Tractable Models for SequentialInference and Decision Making Present Position: Assistant Professor, Umm Al-Qura University, Saudi Arabia 2009/9 - 2018/8 Ricardo Salmon (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: thesis title undecided Present Position: PhD student, University of Waterloo 2008/9 - 2018/12 Igor Kiselev (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: thesis title undecided Present Position: PhD student, University of Waterloo 2007/5 - 2016/4 Farheen Omar, (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Online Bayesian Learning in Probabilistic GraphicalModels using Moment Matching with Applications Present Position: Software Engineer, Microsoft 2007/1 - 2013/8 Omar Zia Khan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Policy Explanation and Model Refinement inDecision-Theoretic Planning Present Position: Software Engineer, Microsoft Post-doctorate [n=5] 2017/8 - 2019/7 Lili Mou (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Conversational agents Present Position: Postdoctoral fellow, University of Waterloo 2013/3 - 2015/1 Marek Grzes (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Energy Efficient Execution of POMDP Policies Present Position: Lecturer (equivalent to assistant professor), Kent University, UK 2011/9 - 2012/8 Robby Goetschalckx (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Continuous Correlated Beta Processes Present Position: Postdoctoral Fellow, Oregon State University 2009/10 - 2014/8 James Tung (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Measuring life space in older adults withmild-to-moderate Alzheimer’s disease using mobile phone GPS Present Position: Assistant Professor, University of Waterloo 2009/9 - 2011/11 Mathieu Sinn (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Asymptotic Theory for Linear-Chain ConditionalRandom Fields Present Position: Research Scientist, IBM Dublin

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Dr. Pascal Poupart Event Administration 2016/1 - 2016/12 Conference Area Chair, National Conference on Artificial Intelligence, Conference, 2016/1 - 2016/12 2016/1 - 2016/12 Conference Program Committee Member, International Conference on Machine Learning, Conference, 2016/1 - 2016/12 2016/1 - 2016/12 Conference Program Committee Member, International Conference on Learning Representations, Conference, 2016/1 - 2016/12 2012/1 - 2016/12 Conference Program Committee Member, Neural Information Processing Systems, Conference, 2012/1 - 2016/12 2015/1 - 2015/12 Conference Program Committee Member, International Joint Conferences on Artificial Intelligence, Conference, 2015/1 - 2015/12 2015/1 - 2015/12 Symposium Organizer, AAAI Fall Symposium on Sequential Decision Making for Intelligent Agents, Conference, 2015/1 - 2015/12 2015/1 - 2015/12 Conference Tutorial Chair, International Joint Conferences on Artificial Intelligence, Conference, 2015/1 - 2015/12 2013/1 - 2015/12 Conference Area Chair, International Conference on Machine Learning, Conference, 2013/1 - 2015/12 2012/1 - 2015/12 Conference Program Committee Member, International Conference on Artificial Intelligence and Statistics, Conference, 2012/1 - 2015/12 2012/1 - 2014/12 Conference Program Committee Members, International Conference on Uncertainty in Artificial Intelligence, Conference, 2012/1 - 2014/12 2013/1 - 2013/12 Conference Program Committee Member, National Conference on Artificial Intelligence, Conference, 2013/1 - 2013/12 2012/1 - 2013/12 Conference Program Committee Member, International Conference on Automated Planning and Scheduling, Conference, 2012/1 - 2013/12 2011/1 - 2011/12 Conference Program Committee Member, International Conference on Machine Learning and Applications, Conference, 2011/1 - 2011/12 2011/1 - 2011/12 Conference Area Chair, International Joint Conferences on Artificial Intelligence, Conference, 2011/1 - 2011/12 2011/1 - 2011/12 Conference Area Chair, International Conference on Automated Planning and Scheduling, Conference, 2011/1 - 2011/12

Editorial Activities 2017/10 - 2018/12 Associate editor, Journal of Artificial Intelligence Research, Journal 2012/1 - 2018/12 Guest editor, Machine Learning Journal, Journal 2009/1 - 2018/12 Member of editorial board, Journal of Machine Learning Research, Journal 2008/1 - 2011/12 Member of editorial board, Journal of Artificial Intelligence Research, Journal

Organizational Review Activities 2015/7 - 2018/6 Member of the school advisory committee on appointments, University of Waterloo Duties: interview and evaluate faculty candidates

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Dr. Pascal Poupart 2017/1 - 2018/2 Member of the Waterloo AI Institute steering committee, University of Waterloo Member of the steering committee for the creation of the Waterloo AI Institute 2016/1 - 2016/12 Member of the Data Science ad hoc committee, University of Waterloo Member of the ad hoc committee for the creation of a new Master’s degree in Data Science. Duties: curriculum development. 2015/8 - 2016/7 Member of Computer Science evaluation group, Natural Sciences and Engineering Research Council of Canada (NSERC) Duties: evaluate 51 grants NSERC discovery grants 2014/8 - 2015/7 Chair of the Methodology Section in the Computer Science evaluation group, Natural Sciences and Engineering Research Council of Canada (NSERC) Duties: chair the assignment of reviewers and the discussion of 150 NSERC discovery grants, evaluate 50 NSERC discovery grants. 2011/8 - 2014/8 Member of the graduate committee, University of Waterloo Member of the graduate committee, David R. Cheriton School of Computer Science, University of Waterloo. Duties: evaluation of scholarship applications, proposal for the creation of a new Master’s degree in Machine Learning and Data Analytics, planning of online courses. 2013/8 - 2014/7 Member of Computer Science evaluation group, Natural Sciences and Engineering Research Council of Canada (NSERC) Duties: evaluate 51 NSERC discovery grants 2011/8 - 2012/6 Chair of the Master of Health Informatics ad hoc committee, University of Waterloo Chair of the ad hoc committee for an online offering of the Master of Health Informatics, David R. Cheriton School of Computer Science, University of Waterloo. Duties: consultation, proposal and planning to offer the Master of Health Informatics online. 2011/9 - 2011/12 Member of the UW task force for massive online open courses, University of Waterloo Member of the UW task force for massive online open courses (MOOCs), chaired by the Provost, University of Waterloo. Duties: provide advice for a strategy at the university level to offer MOOCs. 2009/7 - 2011/1 Chair of the graduate recruiting committee, University of Waterloo Chair of the graduate recruiting committee, David R. Cheriton School of Computer Science, University of Waterloo. Duties: committee budget and planning, email campaign, grad visit day, video contest, info session for undergrads, analysis of grad webpage click statistics, collection of alumni testimonies for recruitment material, grad brochure update.

Presentations 1. (2018). Explaining Markov Decision Processes. University of Toronto, Industrial Engineering Colloquium, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2017). Structure Learning in Deep Learning. Hong Kong University of Science and Technology Seminar, Hong Kong, China Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2017). Structure Learning in Deep Learning. ByteDance Seminar, Beijing, China 240

Dr. Pascal Poupart Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2017). Structure Learning in Deep Learning. Tsinghua University Seminar, Beijing, China Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2017). Structure Learning in Deep Learning. Beijing Institute of Technology Colloquium, Beijing, China Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2017). Structure Learning in Deep Learning. Taiwan AI Conference, Taipei, Taiwan, Province of China Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2017). Advances in Deep Learning and Learning Theory for Adaptive Network Control and Conversational Agents. Huawei Technologies Hong Kong Seminar, Hong Kong, China Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2017). Structure Learning in Deep Learning. Huawei Technologies Seminar, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2017). Advances in Deep Learning and Learning Theory for Adaptive Network Control and Conversational Agents. Huawei Technologies Shenzhen Seminar, Shenzhen, China Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2017). Personalized Transfer Learning. National Chiao Tung University University, Hsinchu, Taiwan, Province of China Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2016). Deep Learning with Clear Semantics. University of Georgia Colloquium, Athens, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2015). Activity Recognition with an Instrumented Walker. IJCAI Workshop on Artificial Intelligence Techniques for Ambient Intelligence, Buenos Aires, Argentina Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2015). Think Fast – Resource Constrained Reasoning and Planning under Uncertainty. International Conference on Technologies and Applications of Artificial Intelligence, Taiwan, Province of China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 14. (2015). Leveraging Expert Feedback in Recommender Systems. AAAI Workshop on Multiagent Interaction without Prior Coordination, Austin, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2014). Planning for Energy Constrained Applications. Pacific Rim International Conference on Artificial Intelligence, Gold coast, Australia Main Audience: Researcher 241

Dr. Pascal Poupart Invited?: Yes, Keynote?: Yes 16. (2013). Constrained POMDPs. Bellairs Institute Workshop on Reinforcement Learning, Holetown, Barbados Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Marek Grzes, Pascal Poupart, Xiao Yang and Jesse Hoey. (2015). Energy Efficient Execution of POMDP Policies. IEEE Transactions on Systems, Man and Cybernetics. 45(11): 2484-2497. Published Refereed?: Yes 2. James Y Tung, William H Gage, Pascal Poupart, William E McIlroy. (2014). Upper Limb Contributions to Frontal Plane Balance Control in Rollator-Assisted Walking. Assistive Technology. 26(1): 15-21. Published Refereed?: Yes 3. James Yungjen Tung, Rhiannon Victoria Rose, Emnet Gammada, Isabel Lam, Eric Alexander Roy, Sandra E Black, Pascal Poupart. (2014). Measuring life space in older adults with mild-to-moderate Alzheimer’s disease using mobile phone GPS. Gerontology. 60(2): 154-162. Published Refereed?: Yes 4. Meena Abdel Maseeh, Webber Chen, Pascal Poupart, Benn Smith and Daniel Stashuk. (2014). Transparent Muscle Characterization using Quantitative Electromyography: Different Binarization Mappings. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 22(3): 511-521. Published Refereed?: Yes 5. Jesse Hoey, Craig Boutilier, Pascal Poupart, Patrick Olivier, Andrew Monk and Alex Mihailidis. (2012). People, Sensors, Decisions: Customizable and Adaptive Technologies for Assistance in Healthcare. Special Issue on Highlights of the Decade, ACM Transactions on Interactive Intelligent Systems. 2(4): 36. Published Refereed?: Yes Book Chapters

1. Nikos Vlassis, Mohammad Ghavamzadeh, Shie Mannor and Pascal Poupart. (2012). Bayesian Reinforcement Learning. Marco Wiering and Martijn van Otterlo. Reinforcement Learning: State-of-the-Art. : 359-386. Published, Springer Verlag Refereed?: Yes

Conference Publications

1. Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou,. (2018). Affective Neural Response Generation. European Conference in Information Retrieval, Grenoble, France Paper Published Refereed?: Yes, Invited?: No 2. Zhuoshu Li, Zhitang Chen, Pascal Poupart, Sanmay Das, Yanhui Geng. (2018). Faster Policy Adaptation in

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Dr. Pascal Poupart Environments with Exogeneity: A State Augmentation Approach. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), stockholm, Sweden Paper Published Refereed?: Yes, Invited?: No 3. Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui. (2018). OrderPlanning Neural Text Generation from Structured Data. International Conference of the Association for the Advancement of Artificial Intelligence (AAAI), New Orleans, United States Paper Published Refereed?: Yes, Invited?: No 4. Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim. (2017). Constrained Bayesian Reinforcement Learning via Approximate Linear Programming. International Joint Conferences on Artificial Intelligence (IJCAI), Sydney, Australia Paper Published Refereed?: Yes, Invited?: No 5. Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura Middleton, Kayla Regan, Mike Schaekermann, George Trimponias, James Tung, Pascal Poupart. (2017). Online Bayesian Transfer Learning for Sequential Data modeling. International Conference on Learning Representations (ICLR), Toulon, France Paper Published Refereed?: Yes, Invited?: No 6. Jia Hui Liang, Hari Govind, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki. (2017). An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate. International Conference on Theory and Applications of Satisfiability Testing (SAT), Melbourne, Australia Paper Published Refereed?: Yes, Invited?: No 7. Saeed Nejati, Zack Newsham, Joseph Scott, Jia Hui Liang, Catherine Gebotys, Pascal Poupart and Vijay Ganesh. (2017). A Propagation Rate based Splitting Heuristic for Divide-and-Conquer Solvers. International Conference on Theory and Applications of Satisfiability Testing (SAT), Melbourne, Australia Paper Published Refereed?: Yes, Invited?: No 8. Wei-Shou Hsu and Pascal Poupart. (2016). Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics. Advances in Neural Information Processing Systems (NIPS), Barcelona, Spain Paper Published Refereed?: Yes, Invited?: No

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Dr. Pascal Poupart 9. Jia Hui Liang, Vijay Ganesh, Pascal Poupart and Krzysztof Czarnecki. (2016). Learning Rate Based Branching Heuristic for SAT Solvers. International Conference on Theory and Applications of Satisfiability Testing (SAT), Bordeaux, France Paper Published Refereed?: Yes, Invited?: No 10. Jia Hui Liang, Vijay Ganesh, Pascal Poupart and Krzysztof Czarnecki. (2016). Exponential Recency Weighted Average Branching Heuristic for SAT Solvers. International Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Pheonix, United States Paper Published Refereed?: Yes, Invited?: No 11. Han Zhao and Pascal Poupart. (2016). A Unified Approach for Learning the Parameters of Sum-Product Networks. Advances in Neural Information Processing Systems (NIPS), Barcelona, Spain Paper Published Refereed?: Yes, Invited?: No 12. Abdullah Rashwan, Han Zhao and Pascal Poupart. (2016). Online and Distributed Bayesian Moment Matching for SPNs. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain Paper Published Refereed?: Yes, Invited?: No 13. Mazen Melibari, Pascal Poupart and Prashant Doshi. (2016). Sum-Product-Max Networks for Tractable Decision Making. International Joint Conference on Artificial Intelligence (IJCAI), New York, United States Paper Published Refereed?: Yes, Invited?: No 14. Zhitang Chen, Pascal Poupart and Yanhui Geng. (2016). Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain Paper Published Refereed?: Yes, Invited?: No 15. Han Zhao, Zhengdong Lu and Pascal Poupart. (2015). Self-Adaptive Hierarchical Sentence Model. International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina Paper Published Refereed?: Yes, Invited?: No 16. Marek Grzes and Pascal Poupart. (2015). Incremental Policy Iteration with Guaranteed Escape from Local Optima in POMDP Planning. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Istanbul, Turkey Paper Published Refereed?: Yes, Invited?: No 17. Han Zhao, Pascal Poupart, Yongfeng Zhang and Martin Lysy. (2015). SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering. International Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Austin, United States 244

Dr. Pascal Poupart Paper Published Refereed?: Yes, Invited?: No 18. Pascal Poupart, Aarti Malhotra, Pei Pei, Kee-Eung Kim, Bongseok Goh and Michael Bowling. (2015). Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes. International Conference of the Association for the Advancement of Artificial Intelligence (AAAI), Austin, United States Paper Published Refereed?: Yes, Invited?: No 19. Han Zhao, Mazen Melibari and Pascal Poupart. (2015). On the Relationship Between Sum-Product Networks and Bayesian Networks. International Conference on Machine Learning (ICML), Lille, France Paper Published Refereed?: Yes, Invited?: No 20. Marek Grzes and Pascal Poupart. (2014). POMDP Planning and Execution in an Augmented Space. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Paris, France Paper Published Refereed?: Yes, Invited?: No 21. Ehsan Abbasnejad, Scott Sanner, Edwin V Bonilla, Pascal Poupart. (2013). Learning Community-based Preferences via Dirichlet Process Mixtures of Gaussian Processes. International Joint Conferences on Artificial Intelligence (IJCAI), Beijing, China Paper Published Refereed?: Yes, Invited?: No 22. Marek Grzes, Pascal Poupart, Jesse Hoey. (2013). Isomorph-free Branch and Bound Search for Finite State Controllers. International Joint Conferences on Artificial Intelligence (IJCAI), Beijing, China Paper Published Refereed?: Yes, Invited?: No 23. Marek Grzes, Pascal Poupart and Jesse Hoey. (2013). Controller Compilation and Compression for Resource Constrained Applications. Algorithmic Decision Theory (ADT), Brussels, Belgium Paper Published Refereed?: Yes, Invited?: No 24. Omar Zia Khan, Pascal Poupart and John Mark Agosta. (2013). Iterative Model Refinement of Recommender MDPs based on Expert Feedback. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Prague, Czech Republic Paper Published Refereed?: Yes, Invited?: No 25. Zahra Zamani, Scott Sanner, Pascal Poupart and Kristian Kersting. (2012). Symbolic Dynamic Programming for Continuous State and Observation POMDPs. Neural Information Processing Systems (NIPS), Lake Tahoe, United States Paper Published Refereed?: Yes, Invited?: No

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Dr. Pascal Poupart 26. Dongho Kim, Kee-Eung Kim and Pascal Poupart. (2012). Cost-Sensitive Exploration in Bayesian Reinforcement Learning. Neural Information Processing Systems (NIPS), Lake Tahoe, United States Paper Published Refereed?: Yes, Invited?: No 27. Adita Tayal, Pascal Poupart and Yuying Li. (2012). Hierarchical Double Dirichlet Process Mixture of Gaussian Processes. National Conference on Artificial Intelligence (AAAI), Toronto, Canada Paper Published Refereed?: Yes, Invited?: No

Intellectual Property

Patents

1. Method and Apparatus for Detecting Type of Network Data Flow. United States. 20170195240A1. Patent Status: Granted/Issued Year Issued: 2017 Inventors: Zhitang Chen, Yanhui Geng, Pascal Poupart 2. Method, System and Apparatus for Autonomous Message Generation. United States. 15/337,464. Patent Status: Granted/Issued Year Issued: 2016 Inventors: Pascal Poupart, Pan Pan Cheng and Jesse Hoey 3. Method, System and Apparatus for Configuring a Chatbot. United States. WO/2015/085404. Patent Status: Granted/Issued Year Issued: 2015 Inventors: Pan Pan Cheng, Marek Grzes, Jesse Hoey, Pascal Poupart, Ricardo Salmon, Yuriy Blokhin, Aly Vellani

246

This is a draft version only. Do not submit to any funding organization. Only the final version from the History page can be submitted.

Protected when completed

Professor Laura Sanità Correspondence language: English Sex: Female Date of Birth: 6/24

Contact Information The primary information is denoted by (*)

Address Primary Affiliation (*) 200 University Avenue west Waterloo Ontario N2L 3G1 Canada

Telephone Work (*) 1-519-888-4567 extension: 31395

Email Work (*) [email protected]

247 Professor Laura Sanità This is a draft version only. Do not submit to any funding organization. Only the final version from the History page can be submitted.

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Professor Laura Sanità

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes Italian Yes Yes Yes Yes Yes

Degrees

- 2009/1 Doctorate, PhD, Mathematics (Operations Research), Sapienza University of Rome Degree Status: Completed Thesis Title: Robust Network Design - 2005/10 Master's Thesis, Masters, Management Engineering, University of Rome Tor Vergata Degree Status: Completed Thesis Title: Protection strategies for new generation optical networks - 2003/7 Bachelor's, Bachlelor's, Management Engineering, University of Rome Tor Vergata Degree Status: Completed Thesis Title: Coloring algorithms for some circulant graphs

Recognitions

2015/4 Early Researcher Award - 150,000 (Canadian dollar) Government of Ontario Prize / Award Recipient of 2015 Early Researcher Award administered by the Province of Ontario. 2010/6 Best Paper Award at the conference STOC 2010 ACM Symposium on Theory of Computing Prize / Award Co-recipient of the Best Paper Award at the conference STOC 2010 (42th ACM Symposium on Theory of Computing).

User Profile

Research Specialization Keywords: Combinatorial Optimization, Approximation algorithms, Network design, Algorithmic game theory, Polyhedral combinatorics

Employment

2017/7 Associate Professor Combinatorics & Optimization, University of Waterloo Full-time, Sessional, Associate Professor Tenure Status: Tenure 248 Professor Laura Sanità 2017/10 - 2017/10 Visiting position Simons Institute for the Theory of Computing, University of California, Berkeley Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track Visiting position at the Simons Institute for the Theory of Computing at UC Berkeley, (1-31 October 2017). 2012/1 - 2017/6 Assistant Professor Combinatorics & Optimization, University of Waterloo Full-time, Sessional, Assistant Professor Tenure Status: Tenure Track 2014/6 - 2014/6 Visiting Researcher Department of Mathematics, University of Washington Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track Visiting Researcher at the department of mathematics of the University of Washington, Seattle, USA, (10-18 June 2014). 2014/4 - 2014/4 Visiting Researcher Institute of Mathematics, Ecole Polytechnique Federale de Lausanne Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track Visiting Researcher at the Institute of Mathematics, Ècole Polytechnique Fèdèrale de Lausanne, Switzerland, (8-19 April 2014). 2012/8 - 2012/8 Visiting Researcher Department of Mathematics, Technische Universitat Berlin Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track Visiting Researcher at the Technische Universität (TU) Berlin, Berlin, Germany, (13-30 August 2012). 2012/3 - 2012/3 Visiting Assistant Professor Department of Mathematics, Massachusetts Institute of Technology Full-time, Visiting Professorship, Assistant Professor Tenure Status: Non Tenure Track Visiting Assistant Professor at the Department of Mathematics of the Massachusetts Institute of Technology (MIT), Boston, USA, (4-17 March 2012). 2009/2 - 2011/8 Post Doctoral Fellow Institute of Mathematics, Ecole Polytechnique Federale de Lausanne Full-time, Term Tenure Status: Non Tenure Track Post-Doc position at Discrete Optimization Group (head: Prof. Friedrich Eisenbrand), Institute of Mathematics, Ecole Polytechnique Federale de Lausanne, Switzerland. 2007/5 - 2007/8 Early-Stage Researcher Department of computer science, University of Cologne Full-time, Term Tenure Status: Non Tenure Track Early-Stage Researcher (Adonet short-term position for PhD students) at Institut für Informatik - Universität zu Köln, Germany, (2nd May 2007 - 2nd August 2007).

249 Professor Laura Sanità Leaves of Absence and Impact on Research

2015/11 - 2016/8 Parental, University of Waterloo 10 months of parental leave.

Research Funding History

Awarded [n=1] 2015/4 - 2020/3 Early Researcher Award, Grant, Operating Principal Investigator Clinical Research Project?: No Project Description: Early Researcher Award program administered by the Province of Ontario. The project aimed at designing new algorithms for network connectivity problems, investigate new models for technology diffusion problems and influence propagation processes though social networks, and develop efficient solvers for network routing problems. Funding Sources: Province of Ontario Early Research Award Total Funding - 150,000 Portion of Funding Received - 150,000 Funding Competitive?: Yes

Completed [n=2] 2012/4 - 2019/4 NSERC discovery grant, Grant, Operating Principal Investigator Clinical Research Project?: No Project Description: The granted proposal aimed at developing novel algorithmic theory to provide effective and reliable routing of traffic in current and future telecommunications networks, both from a theoretical and from an applied point of view. On the theoretical side, the goal was to develop new complexity and approximation results for hot research topics such as routing problems under traffic demand uncertainty, or single-source unsplittable flow problems. On the applied side, the goal was to efficiently implement routing strategies in networks ruled by fixed routing protocols of high relevance in the telecommunication industry. Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC DIscovery grant Total Funding - 154,000 Portion of Funding Received - 154,000 Funding Competitive?: Yes

2012/1 - 2013/12 Start-up funds, Grant, Establishment Principal Investigator Clinical Research Project?: No Project Description: Start-up funds from the Faculty of Mathematics, University of Waterloo.

250 Professor Laura Sanità Funding Sources: University of Waterloo Start up grant Total Funding - 30,000 Portion of Funding Received - 30,000 Funding Competitive?: No

Courses Taught

2018/01/03 - Lecturer, University of Waterloo 2018/04/04 Course Title: Introduction to optimization Course Code: CO250 Course Topic: Optimization Course Level: Undergraduate 2018/01/03 - Lecturer, University of Waterloo 2018/04/04 Course Title: Topics in Combinatorial Optimization Course Code: CO750 Course Topic: Approximation algorithms Course Level: Graduate 2017/01/03 - Lecturer, University of Waterloo 2017/04/03 Course Title: Deterministic Operations Research Models Course Code: CO370 Course Topic: OR models Course Level: Undergraduate 2017/01/03 - Lecturer, University of Waterloo 2017/04/03 Course Title: Topics in Combinatorial Optimization Course Code: CO750 Course Topic: Approximation algorithms Course Level: Graduate 2015/01/05 - Lecturer, University of Waterloo 2015/04/06 Course Title: Deterministic Operations Research Models Course Code: CO370 Course Topic: OR models Course Level: Undergraduate 2015/01/05 - Lecturer, University of Waterloo 2015/04/06 Course Title: Introduction to optimization Course Code: CO250 Course Topic: Optimization Course Level: Undergraduate 2014/09/04 - Lecturer, University of Waterloo 2014/12/01 Course Title: Deterministic Operations Research Models Course Code: CO370 Course Topic: OR models Course Level: Undergraduate

251 Professor Laura Sanità Lecturer, University of Waterloo 2014/01/06 - Course Title: Approximation algorithms 2014/04/04 Course Code: CO754 Course Topic: Approximation algorithms Course Level: Graduate Lecturer, University of Waterloo 2013/09/09 - Course Title: Combinatorial Optimization 2013/12/02 Course Code: CO450/650 Course Topic: Combinatorial optimization Course Level: Graduate Lecturer, University of Waterloo 2013/05/06 - Course Title: Introduction to optimization 2013/07/29 Course Code: CO250 Course Topic: Optimization Course Level: Undergraduate Lecturer, University of Waterloo 2012/09/10 - Course Title: Combinatorial Optimization 2012/12/03 Course Code: CO450/650 Course Topic: Combinatorial optimization Course Level: Graduate Lecturer, University of Waterloo 2012/05/07 - Course Title: Introduction to optimization 2012/07/30 Course Code: CO250 Course Topic: Optimization Course Level: Undergraduate Academic Session: Spring

Student/Postdoctoral Supervision

Bachelor’s Honours [n=6] 2018/5 - 2018/8 Simon Yuxuan Huang (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Algorithms for the Tree augmentation problem -- URA project Present Position: Bachelor's student, University of Waterloo 2018/5 - 2018/8 Erlang Wiratama Surya (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: Algorithms for the tree augmentation problem -- URA project Present Position: Bachelor's student, University of Waterloo 2017/5 - 2017/8 XXX (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On the stable marriage problem -- URA project Present Position: Bachelor's student 2015/5 - 2015/8 XXX (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On the Bin Packing Problem -- URA project Present Position: RBC Capital Markets 2013/5 - 2013/8 Miaolan Xie (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Linear programming formulations for the Steiner Forest problem -- URA project Present Position: Alibaba (China)

252 Professor Laura Sanità Guru Guruganesh (Completed) , University of Waterloo 2012/5 - 2012/12 Thesis/Project Title: 1) Complexity and approximations for non-simultaneous flow Principal Supervisor problems -- URA project 2) Algorithms for k-route cut problems -- URA project Present Position: PhD student, CMU

Master’s Thesis [n=7] 2016/9 - 2017/8 Zhuan Khye Koh (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stabilizing weighted graphs Present Position: Research assistant, University of Waterloo 2016/9 - 2018/1 Matthew Buckley (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Primal Dual Algorithm On 2-Steiner Graphs Present Position: Capital One 2015/9 - 2017/9 Sean Kafer (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On the circuit diameters of some combinatorial polytopes Present Position: PhD student, University of Waterloo 2015/9 - 2017/8 Charupriya Sharma (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Technology diffusion on spiders Present Position: PhD student, University of Waterloo 2014/1 - 2015/8 Arash Hadadan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Finding a Second Hamiltonian Cycle in Barnette Graphs Present Position: PhD student, CMU 2012/9 - 2014/8 Jiaxin Liu (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: An Optimization Problem of Internet Routing Present Position: Unknown 2012/5 - 2013/5 Sina Sadeghian (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Node-Weighted Prize Collecting Steiner Tree and Applications Present Position: Senior Software Development Consultant and Co-Founder, NuBinary

Doctorate [n=1] 2017/9 - 2021/8 Sean Kafer (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2021/8 Thesis/Project Title: On circuit diameters of polytopes Present Position: PhD student, University of Waterloo

Post-doctorate [n=4] 2016/12 - 2017/12 XXX (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: On the Tree Augmentation problem Present Position: Postdoctoral fellow 2015/1 - 2017/8 Kanstantsin Pashkovich (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Approximation algorithms for network design problems and algorithmic game theory problems Present Position: Assistant Professor, University of Waterloo 2014/9 - 2015/4 Umang Bhaskar (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Algorithms for inverse optimization problems Present Position: Faculty member, Tata Institute of Fundamental Research 2014/1 - 2015/4 Andreas Feldmann (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Approximation algorithms for network design problems Present Position: Assistant Professor, Charles University, Prague

253 Professor Laura Sanità Research Associate [n=3] 2017/9 - 2018/8 Zhuan Khye Koh (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: On submodularity of spanning tree games Present Position: Research assistant, University of Waterloo 2014/1 - 2014/4 Hamideh Hosseinzadeh (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation algorithms for vertex-stabilization of graphs Present Position: Postdoctoral fellow 2012/4 - 2012/5 Adrian Bock (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation algorithms for network optimization problems Present Position: INFORM GmbH

Event Administration

2017/4 - 2017/6 Member of the Local Committee, Integer Programming and Combinatorial Optimization (IPCO), Conference, 2017/6 - 2017/6 2016/7 - 2016/12 Co-organizer, Session on Combinatorial, Geometric, and Computational Aspects of Optimization at the CMS Winter Meeting, Conference, 2016/12 - 2016/12 2013/4 - 2013/8 Co-organizer, Workshop on Flexible Network Design, Workshop, 2013/7 - 2013/8

Editorial Activities

2017/6 - 2027/6 Associate editor, Discrete Optimization, Journal 2015/11 - 2019/12 Associate editor, Operations Research Letters, Journal 2015/9 - 2017/12 Guest Editor, WAOA 2015 Special Issue on TOCS, Journal

Committee Memberships

2018/2 Committee Member, ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics (SIAM) 2017/10 - 2018/6 Committee Member, Scientific committee of 23rd International Symposium of Mathematical Programming (ISMP), Université de Bordeaux I 2017/10 - 2018/4 Committee Member, The 9th International conference on fun with algorithms (FUN), Universita Degli Studi di Roma 'La Sapienza' 2016/9 - 2017/9 Committee Member, The 28th International Symposium on Algorithms and Computation (ISAAC), University of Electro-Communications 2016/12 - 2017/6 Committee Member, The 20th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), University of California, Berkeley 2016/10 - 2017/4 Committee Member, The 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), George Washington University 2016/4 - 2017/1 Committee Member, The 19th Conference on Integer Programming and Combinatorial Optimization (IPCO), University of Waterloo 2015/1 - 2015/11 Co-chair, The 13th Workshop on Approximation and Online Algorithms (WAOA), University of Patras

254 Professor Laura Sanità 2014/2 - 2014/7 Committee Member, The 12th Workshop on Approximation and Online Algorithms (WAOA), University of Wroclaw 2013/8 - 2014/6 Committee Member, The 22nd European Symposium on Algorithms (ESA), University of Wroclaw

Other Memberships

2013/6 - 2015/6 Chair of WIM, University of Waterloo Chair of the "Women in Math (WIM)" committee at the University of Waterloo

Presentations

1. (2018). On the diameter of the fractional matching polytope. Conference ISMP 2018, Bordeaux, France Invited?: Yes, Keynote?: No 2. (2018). Introduction to optimization. Outreach activity -- Lecture delivered to roughly 40 High school students, for the event "TORCH" organized by the University of Waterloo, Waterloo, Canada Invited?: No, Keynote?: No 3. (2018). Introduction to Optimization. Outreach activity -- Lecture delivered to roughly 40 High school students, for the event "Think about math" organized by the University of Waterloo, Waterloo, Canada Invited?: No, Keynote?: No 4. (2018). On stabilization of matching games. Seminar at Columbia University (New York), New York, United States Invited?: Yes, Keynote?: No 5. (2017). Approximating Tree Augmentation via Chvatal-Gomory cuts. BIRS workshop on Approximation Algorithms and the Hardness of Approximation, Banff, Canada Invited?: Yes, Keynote?: No 6. (2017). Matchings, covers, and network games. 29th Cumberland Conference on Combinatorics, Graph Theory and Computing, Nashville, United States Invited?: Yes, Keynote?: No 7. (2016). On the circuit diameter of some polytopes in combinatorial optimization. Canadian Mathematical Society winter meeting, Niagara Falls, Canada Invited?: Yes, Keynote?: No 8. (2016). Stabilizing network bargaining games by blocking players. Conference IPCO 2016, Liegi, Belgium Invited?: No, Keynote?: No 9. (2015). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Conference SODA 2015, San Diego, United States Invited?: No, Keynote?: No 10. (2015). LP-based methods for approximation algorithms. PoCo summer school on polyhedral combinatorics, Pittsburgh, United States Invited?: Yes, Keynote?: No 11. (2015). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Conference ISMP 2015, Pittsburgh, United States Invited?: Yes, Keynote?: No 12. (2015). On the existence of compact epsilon-approximated formulations for Knapsack in the original space. Seminar at UW-Madison, Madison, United States Invited?: Yes, Keynote?: No

255 Professor Laura Sanità 13. (2015). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Conference CanaDAM, Saskatchewan, Canada Invited?: Yes, Keynote?: No 14. (2015). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Bellairs Workshop on Combinatorial Optimization, Barbados Invited?: Yes, Keynote?: No 15. (2014). On the Equivalence of the Bidirected and Hypergraphic Relaxations for Steiner Tree. Seminar at EPFL (Lausanne, Switzerland), Lausanne, Switzerland Invited?: Yes, Keynote?: No 16. (2014). Finding small stabilizers for unstable graphs. 5th Cargese workshop of combinatorial optimization, Cargese, France Invited?: Yes, Keynote?: No 17. (2014). Finding small stabilizers for unstable graphs. Conference IPCO 2014, Bonn, Germany Invited?: No, Keynote?: No 18. (2013). Finding small stabilizers for unstable graphs. Seminar at the University of Rome Tor Vergata, Rome, Italy Invited?: Yes, Keynote?: No 19. (2013). 0/1 Polytopes with quadratic Chvatal rank. Conference IPCO 2013, Vina del Mar, Chile Invited?: No, Keynote?: No 20. (2013). 0/1 Polytopes with quadratic Chvatal rank. Seminar at EPFL University (Lausanne, Switzerland), Lausanne, Switzerland Invited?: Yes, Keynote?: No 21. (2013). 0/1 Polytopes with quadratic Chvatal rank. Aussois Workshop on Combinatorial Optimization 2013, Aussois, France Invited?: Yes, Keynote?: No 22. (2013). Exponentiality of the exchange algorithm for finding another room-partitioning. Seminar at McMaster University (Hamilton, Canada), Hamilton, Canada Invited?: Yes, Keynote?: No 23. (2013). Finding small stabilizers for unstable graphs. Industrial Optimization seminar series, Fields Institute, Toronto, Canada Invited?: Yes, Keynote?: No 24. (2013). 0/1 Polytopes with quadratic Chvatal rank. Bellairs Workshop on Combinatorial Optimization 2013, Barbados Invited?: Yes, Keynote?: No 25. (2012). 0/1 Polytopes with quadratic Chvatal rank. Eastern Great Lakes (EaGL) Theory of Computing Workshop 2012, Buffalo, United States Invited?: Yes, Keynote?: No 26. (2012). Steiner Tree approximation via iterative randomized rounding. Conference ISMP 2012, Berlin, Germany Invited?: Yes, Keynote?: No

Text Interviews

2015/12/04 Gender and diversity in STEM education, University of Waterloo Magazine

256 Professor Laura Sanità Publications

Journal Articles 1. Bauckholt F*, Pashkovich K, Sanità L. (2018). On the approximability of the stable marriage problem with one-sided ties. ACM Transactions on Algorithms. Submitted, Refereed?: Yes 2. Abdi A*, Fukasawa R, Sanità L. (2018). Opposite elements in clutters. Mathematics of Operations Research. 43(2): 428-459. Published, Refereed?: Yes 3. Ahmadian S*, Hosseinzadeh H*, Sanità L. (2017). Stabilizing network bargaining games by blocking players. Mathematical Programming. Accepted, Refereed?: Yes 4. Kafer S*, Pashkovich K, Sanità L. (2017). On the circuit diameter of some combinatorial polytopes. Siam Journal on Discrete Mathematics. Revision Requested, Refereed?: Yes 5. Feldman A, Könemann J, Olver N, Sanità L. (2016). On the equivalence of the bidirected and hypergraphic relaxations for Steiner tree. Mathematical Programming. 160: 379-406. Published, Refereed?: Yes 6. Abdi A*, Feldmann A, Guenin B, Könemann J, Sanità L. (2016). Lehman’s Theorem and the Directed Steiner Tree Problem. SIAM Journal on Discrete Mathematics. 30(1): 141-153. Published, Refereed?: Yes 7. Rothvoss T, Sanità L. (2016). 0/1 Polytopes with quadratic Chvatal rank. Operations Research. 65(1): 212-220. Published, Refereed?: Yes 8. Bock A*, Sanità L. (2015). The capacitated orienteering problem. Discrete Applied Mathematics. 195: 31-42. Published, Refereed?: Yes 9. Di Summa M, Pritchard D, Sanità L. (2015). Finding the closest ultrametric. Discrete Applied Mathematics. 180: 70-80. Published, Refereed?: Yes 10. Faenza Y, Sanità L. (2015). On the existence of compact epsilon-approximated formulations for Knapsack in the original space. Operations Research Letters. 43(3): 339-342. Published, Refereed?: Yes 11. Byrka J, Karrenbauer A, Sanità L. (2015). The interval constrained 3-coloring problem. Theoretical Computer Science. 593(C): 42-50. Published, Refereed?: Yes

257 Professor Laura Sanità 12. Bock A*, Chandrasekaran K, Könemann J, Peis B, Sanità L. (2015). Finding small stabilizers for unstable graphs. Mathematical Programming. 154: 173-196. Published, Refereed?: Yes 13. Edmonds J, Sanità L. (2014). Exponentiality of the exchange algorithm for finding another room- partitioning. Discrete Applied Mathematics. 164: 86-91. Published, Refereed?: Yes 14. Bock A*, Grant E*, Könemann J, Sanità L. (2013). The School Bus Problem on Trees. Algorithmica. 67(1): 49-64. Published, Refereed?: Yes 15. Hähnle N, Sanità L, Zenklusen R. (2013). Stable routing and unique-max coloring on trees. Siam Journal on Discrete Mathematics. 27(1): 109-125. Published, Refereed?: Yes 16. Oriolo G, Sanità L, Zenklusen R. (2013). Network design with a discrete set of traffic matrices. Operations Research Letters. 41(4): 390-396. Published, Refereed?: Yes 17. Byrka J, Grandoni F, Rothvoss T, Sanità L. (2013). Steiner Tree approximation via iterative randomized rounding. Journal of the ACM. 60(1) Published, Refereed?: Yes 18. Grandoni F, Rothvoss T, Sanità L. (2011). From Uncertainty to Non-Linearity: Solving Virtual Private Network via Single-Sink Buy-at-Bulk. Mathematics of Operations Research. 36(2): 185-204. Published, Refereed?: Yes 19. Grandoni F, Nicosia G, Oriolo G, Sanità L. (2010). Stable Routing under the Spanning Tree Protocol. Operations Research Letters. 38(5): 399-404. Published, Refereed?: Yes 20. Fiorini S, Oriolo G, Sanità L, Theis D.O. (2010). The VPN problem with concave costs. Siam Journal on Discrete Mathematics. 24(3): 1080-1090. Published, Refereed?: Yes 21. Sabella R, Iovanna P, Oriolo G, Sanità L. (2008). Fine protection of data paths in multi-layer network based on the GMPLS paradigm. Optical Switching and Networking. : 159-169. Published, Refereed?: Yes

Conference Publications 1. Koh Z K*, Sanità L. (2018). Stabilizing weighted graphs. 45th International Colloquium on Automata, Languages, and Programming (ICALP), (83:1-83:13), Paper Published Refereed?: Yes, Invited?: Yes

258 Professor Laura Sanità 2. Ahmadian S, Bhaskar U, Sanità L, Swamy C. (2018). Algorithms for Inverse Optimization Problems. 26th Annual European Symposium on Algorithms (ESA), , Paper Published Refereed?: Yes, Invited?: Yes 3. Fiorini S, Gross M, Könemann J, Sanità L. (2018). Approximating Weighted Tree Augmentation via Chvatal-Gomory cuts. 29th ACM-SIAM Symposium on Discrete Algorithms (SODA), (817-831), Paper Published Refereed?: Yes, Invited?: Yes 4. Sanità L. (2018). The diameter of the fractional matching polytope and its hardness implications. 59th Annual IEEE Symposium on Foundations of Computer Science (FOCS), , Paper Accepted Refereed?: Yes, Invited?: Yes 5. Guruganesh G*, Iglesias J*, Ravi R, Sanità L. (2017). Single-sink Fractionally Subadditive Network Design. 25th European Symposium on Algorithms (ESA), (46:1-46:13), Paper Published Refereed?: Yes, Invited?: Yes 6. Feldmann A, Könemann J, Pashkovich K, Sanità L. (2016). Fast Approximation Algorithms for the Generalized Survivable Network Design Problem. International symposium on algorithms and computation (ISAAC), (33:1-33:12), Paper Published Refereed?: Yes, Invited?: Yes 7. Ahmadian S*, Hosseinzadeh H*, Sanità L. (2016). Stabilizing network bargaining games by blocking players. 18th conference on Integer Programming and Combinatorial Optimization (IPCO), (164-177), Paper Published Refereed?: Yes, Invited?: Yes 8. Guruganesh G*, Sanità L, Swamy C. (2015). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. ACM-SIAM Symposium on Discrete Algorithms (SODA), (676-695), Paper Published Refereed?: Yes, Invited?: Yes 9. Efsandiari H, Hajiaghayi M, Könemann J, Mahini H, Malec D L, Sanità L. (2015). Approximate Deadline- Scheduling with Precedence Constraints. 23rd European Symposium on Algorithms (ESA), (483-495), Paper Published Refereed?: Yes, Invited?: Yes 10. Bock A*, Chandrasekaran K, Könemann J, Peis B, Sanità L. (2014). Finding small stabilizers for unstable graphs. 17th Conference on Integer Programming and Combinatorial Optimization (IPCO), (150-161), Paper Published Refereed?: Yes, Invited?: Yes

259 Professor Laura Sanità 11. Feldmann A, Könemann J, Olver N, Sanità L. (2014). On the equivalence of the bidirected and hypergraphic relaxations for Steiner tree. APPROX and RANDOM 2014, (176-191), Paper Published Refereed?: Yes, Invited?: Yes 12. Bock A*, Sanità L. (2013). On the approximability of two capacitated vehicle routing problems. International Network Optimization Conference (INOC), (519-526), Paper Published Refereed?: Yes, Invited?: Yes 13. Könemann J, Sadeghian S*, Sanità L. (2013). An LMP O(log n)-Approximation Algorithm for Node Weighted Prize Collecting Steiner Tree. 54th Annual IEEE Symposium on Foundations of Computer Science (FOCS), , Paper Published Refereed?: Yes, Invited?: Yes 14. Rothvoss T, Sanità L. (2013). 0/1 Polytopes with quadratic Chvatal rank. 16th Conference on Integer Programming and Combinatorial Optimization (IPCO), (349-361), Paper Published Refereed?: Yes, Invited?: Yes 15. Könemann J, Sadeghian S*, Sanità L. (2013). Better Approximation Algorithms for Technology Diffusion. 21st European Symposium on Algorithms (ESA), , Paper Published Refereed?: Yes, Invited?: Yes 16. Eisenbrand F, Kakimura N, Rothvoss T, Sanità L. (2011). Set covering with ordered replacement -- Additive and multiplicative gaps. 15th Conference on Integer Programming and Combinatorial Optimization (IPCO), , Paper Published Refereed?: Yes, Invited?: Yes 17. Buchheim C, Liers F, Sanità L. (2011). An exact algorithm for robust network design. International Network Optimization Conference (INOC), , Paper Published Refereed?: Yes, Invited?: Yes 18. Bock A*, Grant E*, Könemann J, Sanità L. (2011). The School Bus Problem on Trees. 22nd International Symposium on Algorithms and Computation (ISAAC), , Paper Published Refereed?: Yes, Invited?: Yes 19. Byrka J, Grandoni F, Rothvoss T, Sanità L. (2010). An improved LP-based approximation for Steiner Tree. Proceedings of the 42th ACM Symposium on Theory of Computing (STOC), , Paper Published Refereed?: Yes, Invited?: Yes

260 Professor Laura Sanità 20. Byrka J, Karrenbauer A, Sanità L. (2010). The interval constrained 3-coloring problem. 9th Latin American Theoretical Informatics Symposium (LATIN), , Paper Published Refereed?: Yes, Invited?: Yes 21. Edmonds J, Sanità L. (2010). On finding another room-partitioning of the vertices. International Symposium on Combinatorial Optimization (ISCO), , Paper Published Refereed?: Yes, Invited?: Yes 22. (2009). On the complexity of the asymmetric VPN problem. APPROX and RANDOM 2009, , Paper Published Refereed?: Yes, Invited?: Yes Editors: Rothvoss T, Sanità L 23. Iovanna P, Nicosia G, Oriolo G, Sanità L, Sperduto E. (2008). Local restoration for trees and arborescences. FITraMEn 2008, , Paper Published Refereed?: Yes, Invited?: Yes

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Dr. Matthias Schonlau Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes Yes Yes No No German Yes Yes Yes Yes Yes Spanish; Castilian Yes Yes Yes No No

Degrees - 1997/9 Doctorate, Statistics, University of Waterloo Supervisors: Dr. Welch, 1993/9 -1997/9 - 1993/9 Master's Thesis, Statistics, Queen's University at Kingston Supervisors: Dr. Stroud, 1992/4 -1993/9 - 1991/5 Bachelor's Equivalent, Mathematics, Economics and Computer Science, Universitat Ulm

User Profile

Research Specialization Keywords: machine learning, open ended questions, panel surveys, survey methodology, text mining

Employment 2011/7 Professor of Statistics Statistics and Actuarial Science, Faculty of Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2012/2 - 2016/6 Co-Director, Survey Research Centre Statistics and Actuarial Sciences, University of Waterloo, University of Waterloo Part-time Tenure Status: Non Tenure Track 2010/8 - 2011/6 Statistician Statistics and Economics Group, Rand Corporation 2007/1 - 2011/6 Adjunct Assistant Professor of Psychiatry Psychiatry, School of Medicine, University of Pittsburgh Part-time, Adjunct, Assistant Professor Tenure Status: Non Tenure Track

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Dr. Matthias Schonlau 2009/3 - 2011/5 Sessional Lecturer Engineering and Public Policy, Pittsburgh, Carnegie-Mellon University Part-time, Sessional, Lecturer Tenure Status: Non Tenure Track 2010/2 - 2010/8 Senior Scholar SOEP, German Institute for Economic Research 2009/8 - 2010/2 Senior Researcher Scholarship Max Planck Institute for Human Development, Max Planck Institute for Human Development 2005/3 - 2009/7 Head, Statistical Consulting Service Statistics and Economics Group, Rand Corporation 2000/10 - 2005/2 Head Statistical Consulting Service Statistics and Economics Group, Rand Corporation 1999/10 - 2000/10 Associate Statistician Statistics and Economics Group, Rand Corporation 1997/9 - 1999/8 Postdoctoral Fellow (on location at AT&T Labs) Statistics, National Institute of Statistical Sciences 1998/1 - 1998/6 Sessional Lecturer Statistics and Biostatistics, School of Arts and Sciences, Rutgers, The State University of New Jersey Part-time, Sessional, Lecturer Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=3] 2013/4 - 2019/3 Semi-automatic analysis of open-ended questions in surveys, Grant Principal Investigator Funding Sources: Social Sciences and Humanities Research Council of Canada (SSHRC) Insight Grant Total Funding - 191,135 Portion of Funding Received - 162,465 Funding Competitive?: Yes 2013/6 - 2016/5 Final respondent comments as a diagnostic tool in web surveys, Grant Principal Investigator Funding Sources: Social Sciences and Humanities Research Council of Canada (SSHRC) Insight Development Grant Total Funding - 50,155 Portion of Funding Received - 100

263 Dr. Matthias Schonlau Funding Competitive?: Yes 2011/7 - 2014/4 Start-up Grant, Grant Principal Applicant Funding Sources: University of Waterloo Start-up Grant Total Funding - 40,000 Portion of Funding Received - 100 Funding Competitive?: No

Student/Postdoctoral Supervision

Bachelor’s [n=1] 2017/5 - 2017/8 Ilia Sucholutsky (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Efficient implementation of Neural Networks Present Position: Graduate student, Unversity of Waterloo

Bachelor’s Honours [n=5] 2017/9 - 2018/4 Maya Bayati (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Efficient implementation of Neural Networks using plugins Present Position: in progress 2017/5 - 2018/8 Yuyan Zou (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Random forests and their implementation Present Position: in progress 2015/5 - 2016/4 Nick Guenther (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Exploring the use of Support vector machines in the social sciences. Present Position: Undergraduate Student 2014/1 - 2014/4 Joey Zhao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Developing Coding infrastructure for Textmining Present Position: Undergraduate Student 2013/9 - 2014/4 Cynthia McLauchlan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Does taking a statistics course improve statistical literacy? Present Position: Statistician, Statistics Canada, Ottawa Master’s non-Thesis [n=7] 2015/9 - 2016/8 Yilun Zhang (Completed) , University of Waterloo Academic Advisor Thesis/Project Title: Sentiment Analysis of Final Comments in the LISS Panel Present Position: unknown 2014/5 - 2015/4 Cynthia McLauchlan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Are Final Comments in Web Survey Panels Associated with NextWave Attrition? Present Position: Statistician, Statistics Canada, Ottawa 2014/5 - 2014/8 Yu Luo (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Evaluation questions as predictors of attrition in the LISS survey panel Present Position: Doctoral Student, University of Montreal

264 Dr. Matthias Schonlau 2014/5 - 2014/8 Daniel Rodriguez Duque (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A new approach for selecting training data for the classification of text data Present Position: Analyst, Ottawa Hospital Research Institute 2012/5 - 2013/4 Zhoushanyue (Sophie) He (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: An exploration of final comments in the American Life Internet survey panel Present Position: Doctoral Student 2012/5 - 2012/12 Maoji Li (Completed) , University of Waterloo Academic Advisor Thesis/Project Title: Respondent driven sampling Present Position: Analyst, University Fred Hutchinson Cancer research Center , Seattle 2012/5 - 2012/8 Yanyang Zhao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: An Overview of the Sample Design in the International Tobacco Control (ITC) Project Present Position: Analyst in the Financial Sector, Montreal

Doctorate [n=2] 2016/1 - 2019/12 Z. "Sophie" He (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Semi-automatic categorization of open-ended questions Present Position: ongoing 2013/9 - 2017/8 H. "Jay" Gweon (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Statistical Learning Approaches to Some Classification Problems Present Position: Visiting Assistant Professor, University of Illionois at Urbana-Champaign

Editorial Activities 2014/7 - 2019/6 Editorial Board Member, Survey Methods: Insights from the Field, Journal 2015/8 - 2018/12 Associate Editor, Survey Research Methods, Journal 2015/8 - 2017/7 Guest Editor, Special Issue on Nonresponse in Math, Population Studies, Journal

Knowledge and Technology Translation 2017/1 - 2017/7 Collaborator, R&D Collaboration with Industry Group/Organization/Business Serviced: Bank of Canada Target Stakeholder: Policy Maker/Regulator Outcome / Deliverable: Collaborated with the Bank of Canada on a survey project on cash and Bitcoin usage. Establishing details o on cash/Bitcoin usage in Canada is very important to the Bank of Canada as national Banks in many countries are struggling to come to terms with digital currencies and a possible move to a cashless society. 2016/7 - 2016/7 Expert Witness in Federal U.S. Court, Consultation Service Group/Organization/Business Serviced: Department of Justice, United States Target Stakeholder: Policy Maker/Regulator Outcome / Deliverable: Expert Witness on the Federal Death penalty in "United States vs Fell". Expertise was based on earlier research on arbitrariness and capriciousness of the death penalty under Attorney General Janet Reno.

Committee Memberships 2018/7 - 2018/7 Committee Member, Program Committee, Stata Canada Conference

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Dr. Matthias Schonlau 2015/7 - 2018/7 Committee Member, President Elect, President, and Past President, Statistical Society of Canada, Survey Methods Section 2017/11 - 2017/11 Committee Member, Program Committee, General Online Research Conference 2017/7 - 2017/7 Committee Member, Program Committee, Stata Canada Conference 2011/7 - 2017/7 Committee Member, Board, European Survey Research Association 2011/7 - 2017/6 Committee Member, Board member, European Survey Research Organization 2009/8 - 2015/8 Committee Member, Committee on Scientific Freedom and Human Rights, American Statistical Association

Presentations 1. (2017). Improving the Accuracy of Automated Occupation Coding. Joint Meetings of the American Statistical Association, Baltimore, United States Main Audience: Researcher Invited?: No, Keynote?: No 2. (2017). Recruiting an Internet Panel Using Respondent Driven Sampling. Bank of Canada, Ottawa, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2017). Improving the Accuracy of Automated Occupation Coding. European Survey Research Conference, Lisbon, Portugal Main Audience: Researcher Invited?: No, Keynote?: No 4. (2016). Improving the Accuracy of Automated Occupation Coding. Statistics New Zealand, Teleconference to Christchurch and Wellington, Christchurch, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2016). Improving the Accuracy of Automated Occupation Coding. Statistics New Zealand, Teleconference to Wellington, Wellington, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2016). Improving the Accuracy of Automated Occupation Coding. Department of Computer Science, University of Waikato, Hamilton, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2016). Text Mining for Medical Adverse Events. University of Auckland, COMPASS Social Science Centre, Auckland, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2016). Semi-automated categorization of open-ended questions. Monash University, Department of Econometrics and Business Statistics, Melbourne, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 266

Dr. Matthias Schonlau 9. (2016). Improving the Accuracy of Automated Occupation Coding. Department of Statistics, University of Auckland, Auckland, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2015). Semi-automated categorization of open-ended questions. Bank of Canada, Ottawa, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2015). Statistical Learning with Boosting. Stata Conference, Nuremberg, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes 12. (2015). Semi-automated categorization of open-ended questions. University of Auckland, Department of Statistics, Auckland, New Zealand Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2015). How to field and analyze Web surveys. New Zealand Statistical Association Conference, Christchurch, New Zealand Main Audience: Researcher Invited?: No, Keynote?: No 14. (2014). Face-to-Face Sampling in Africa. Joint Statistical Meetings, Boston, United States Main Audience: Researcher Invited?: No, Keynote?: No 15. (2014). Semi-automated categorization of open-ended questions. GESIS, Mannheim, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2014). Semi-automated categorization of open-ended questions. University of British Columbia, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2014). Final comments in the LISS web survey panel. International Panel Survey Methods Workshop, Ann Arbor, United States Invited?: Yes, Keynote?: No 18. (2014). Semi-automated categorization of open-ended questions. Simon Fraser University, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). Final comments in the LISS web survey panel. International Panel Survey Methods Workshop, Ann Arbor, United States Main Audience: Researcher Invited?: No, Keynote?: No 20. (2013). Semi-automated categorization of open-ended questions. Australian Bureau of Statistics, Canberra, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 267

Dr. Matthias Schonlau 21. (2013). Semi-automated categorization of open-ended questions. University of Wollongong, Wollongong, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 22. (2013). Semi-automated categorization of open-ended questions. European Survey Research Association, Ljubljana, Slovenia Main Audience: Researcher Invited?: No, Keynote?: No 23. (2013). Semi-automated categorization of open-ended questions. MESS Workshop, Den Haag, Netherlands Main Audience: Researcher Invited?: No, Keynote?: No 24. (2013). Thoughts on a career in industry and switching to academia. SSC Student Conference, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2012). Respondent Driven sampling. Hard to Reach Conference, New Orleans, United States Main Audience: Knowledge User Invited?: Yes, Keynote?: No 26. (2012). Conducting Respondent Driven Sampling on the Web: An Experimental Approach to Recruiting Challenges. MESS Workshop, Oysterwijk, Netherlands Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2012). An overview over following rules in household panels and their effect on sample size. Joint Statistical Meetings, Miami, United States Main Audience: Researcher Invited?: No, Keynote?: No

Publications

Journal Articles

1. Schonlau M Cooper M. (2017). Options for Conducting Web Surveys. Statistical Science. 32(2): 279-292. Published Refereed?: Yes, Open Access?: Yes 2. Schonlau M Guenther N Sucholutsky I. (2017). Text Mining Using ngram Variables. The Stata Journal. 17(4): 866-881. Published Refereed?: Yes, Open Access?: Yes 3. Gwen, H Schonlau M Kaczmiegk L Blohm M Steiner S. (2017). Three Methods for Occupation Coding Based on Statistical Learning. Journal of Official Statistics. 33(1): 101-122. Published Refereed?: Yes, Open Access?: Yes 4. McLauchlan C Schonlau M. (2016). Are Final Comments in Web Survey Panels Associated with NextWave Attrition?. Survey Research Methods. 10(3): 211-224. Published 268

Dr. Matthias Schonlau Refereed?: Yes, Open Access?: Yes 5. Gattiker J R Hamada M S Hidden D M Schonlau M Welch W J. (2016). Using a Gaussian Process as a Nonparametric Regression Model. Quality and Reliability Engineering International. 32(2): 673-680. Published Refereed?: Yes, Open Access?: Yes 6. McLaughlin C Schonlau M. (2016). Statistical Literacy in the classroom: should introductory statistics courses rethink their goals. Statistics, Politics and Policy. 7(1-2): 99-115. Published Refereed?: Yes, Open Access?: Yes 7. Schonlau M Couper M. (2016). Semi-automated categorization of open-ended questions. Survey Research Methods. 20(2): 143-152. Published Refereed?: Yes, Open Access?: Yes 8. Guenther N Schonlau M. (2016). Support vector machines. The Stata Journal. 16(4): 917-937. Published Refereed?: Yes, Open Access?: No 9. Schonlau M. (2015). What do web survey panel respondents answer when asked “Do you have any other comment?”. Survey Methods: Insights from the Field. 6899 Published Refereed?: Yes, Open Access?: Yes 10. Schonlau M Toepoel V. (2015). Straightlining in Web survey panels over time. Survey Research Methods. 9(2): 125-137. Published Refereed?: Yes, Open Access?: Yes 11. Schonlau M Weidmer B Kapteyn A. (2014). Recruiting an Internet Panel Using Respondent Driven Sampling. Journal of Official Statistics. 30(2): 277-289. Published Refereed?: Yes, Open Access?: Yes 12. Wong J Schonlau M. (2013). Does bully victimization predict future delinquency? A propensity score matching approach. Criminal Justice and Behavior. 40(11): 1184-1208. Published Refereed?: Yes, Open Access?: No 13. Langley A K Cohen J A Jaycee L H Mannarino A P Walker D W Gegenheimes K L Schonlau M Scott M. (2013). Trauma exposure and mental health problems among school children 15-months post-Hurricane Katrina. Journal of Child and Adolescent Trauma. 6(3): 143-156. Published Refereed?: Yes 14. Schonlau M Watson N Kroh M. (2013). Cross-sectional weights in household survey panels. Statistics Surveys. 7: 37-57. Published Refereed?: Yes, Open Access?: Yes 15. Schonlau M Liebau E. (2012). Respondent-driven sampling. The Stata Journal. 12(1): 72-93. Published Refereed?: Yes, Open Access?: No 269

Dr. Matthias Schonlau 16. Schonlau M Peters E. (2012). Comprehension of Graphs and Tables Depends on the Task: Empirical Evidence from two web-based studies.Statistics, Politics and Policy. 3(2): Article 5. Published Refereed?: Yes 17. Martin L Haas A Schonlau M, Pitkin Derose K Rosenfeld L Rudd R Buka S. (2012). Which Literacy Skills are Associated with Smoking?. Journal of Epidemiology and Community Health. 66: 189-192. Published Refereed?: Yes

270

Dr. Stefan Steiner Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 1994/6 Doctorate, Business Administration, McMaster University - 1989/8 Master's Thesis, Applied Mathematics, University of British Columbia - 1987/5 Bachelor's, Applied Mathematics with Computer Science Minor, University of Waterloo

Recognitions 2015/1 Lloyd Nelson Award Statistics Division of the American Society for Quality Prize / Award This award recognizes the Journal of Quality Technology article from the previous year of “greatest immediate impact to practitioners”. 2014/11 Fellow of the American Statistical Association American Statistical Association Honor Nominated by their peers, ASA Fellows are members of established reputation who have made outstanding contributions in some aspect of statistical work. Given annually, this is a great honor, as the number of recipients is limited to no more than one-third of 1% of the ASA membership. My citation reads: For substantial research contributions in process monitoring, measurement system assessment and Statistical Engineering, highly productive collaborative consulting, and service to the profession. 2012/11 Fellow of the American Society for Quality American Society for Quality Honor Fellow Membership is an honor bestowed by other ASQ Members. A Fellow represents the upper echelon of the quality profession and serves as the backbone of the Society. My citation reads: For substantial research contributions in process monitoring, measurement system assessment and Statistical Engineering, highly productive collaborative consulting, and service to the profession.

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Dr. Stefan Steiner 2011/1 W.J. Youden Award American Statistical Association Prize / Award To recognize the authors of publications that make outstanding contributions to the design and/or analysis of interlaboratory tests or describe ingenious approaches to the planning and evaluation of data from such tests.

Employment

2014/7 Department Chair Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2010/1 Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2005/1 Director, Business and Industrial Statistics Research Group Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2012/9 - 2013/7 Professor Institute for Business and Industrial Statistics, Business, University of Amsterdam (Universiteit van Amsterdam) Part-time, Visiting Professorship, Lecturer Tenure Status: Non Tenure Track 2009/7 - 2012/6 Associate Chair, Undergraduate Studies Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2001/1 - 2010/1 Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure Track 2008/9 - 2009/7 Professor School of Mathematical Sciences, Queensland University of Technology Part-time, Visiting Professorship, Lecturer Tenure Status: Non Tenure Track 2005/9 - 2008/8 Associate Chair, Undergraduate Studies Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure

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Dr. Stefan Steiner 2003/5 - 2004/12 Director, Institute for Improvement in Quality and Productivity Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Non Tenure Track 2002/5 - 2003/4 Professor Statistics and Actuarial Science, University of Auckland Part-time, Visiting Professorship, Lecturer Tenure Status: Non Tenure Track 1995/1 - 2000/12 Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track

Research Funding History Awarded [n=2] 2016/2 - 2020/10 Risk Management, Economic Sustainability and Actuarial Science Development in Principal Applicant Indonesia (READI) Project, Grant Funding Sources: 2016/2 - 2020/10 Government of Canada Global Affairs Canada Total Funding - 15,100,000 Portion of Funding Received - 700,000 Funding Competitive?: Yes 2012/4 - 2017/3 Individual Discovery Grant, Grant Principal Applicant Funding Sources: 2012/4 - 2017/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Individual Discovery Grant Total Funding - 144,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes

Completed [n=1] 2006/4 - 2012/3 Individual Discovery Grant, Grant Principal Applicant Funding Sources: 2006/4 - 2012/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 100,000 Portion of Funding Received - 100,000 Funding Competitive?: Yes

Under Review [n=2] 2017/4 - 2022/3 Individual Discovery Grant, Grant Principal Applicant Funding Sources:

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Dr. Stefan Steiner 2017/4 - 2022/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Total Funding - 326,000 Portion of Funding Received - 0 Funding Competitive?: Yes 2017/1 - 2018/12 Building Risk Models and Feedback Systems Using Large Volumes of Automobile Principal Investigator Telematics Data, Fellowship Funding Sources: 2017/1 - 2018/12 Mathematics of Information Technology and Complex Systems (MITACS) Accelerate Total Funding - 90,000 Portion of Funding Received - 0 Funding Competitive?: Yes Collaborator : Inez Zweetslot

Student/Postdoctoral Supervision

Bachelor’s [n=1] 2013/9 - 2013/12 Liu, Xien, University of Waterloo Principal Supervisor Thesis/Project Title: Hypothesis Tests for the Weighted Estimating Equation Approach

Master’s non-Thesis [n=4] 2015/9 - 2016/8 Fan, Kevin (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2016/8 Thesis/Project Title: Nonparametric Model for Assessing a Binary Diagnostic Test 2011/9 - 2012/8 Lai, Chunwei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Estimating the Error Rates of a Binary Inspection System Using Conditional Sampling Plans and a Reference System 2010/9 - 2011/8 Stevens, Nathaniel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Statistical Process Control: A View on the Fundamental Definitions and Terminology 2010/9 - 2011/8 Voisin, Jenna (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Assessment of a Binary Measurement System using an Anchored Reference System

Doctorate [n=7] 2015/1 - 2020/6 Gweon, Hyukjun (Jay) (In Progress) , University of Waterloo Co-Supervisor Thesis/Project Title: To be determined 2014/5 - 2014/8 Lu, Yi (Withdrawn) , University of Waterloo

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Dr. Stefan Steiner Principal Supervisor Thesis/Project Title: Assessing Binary Measurement Systems and Inspection Protocols Utilizing Follow-Up Data 2013/1 - 2016/12 Severn, Daniel (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/4 Thesis/Project Title: Assessing Binary Measurement Systems: Partial Verification & Multiple RandomEffects 2011/9 - 2012/4 [Name Withheld] - student withdrew, University of Waterloo Principal Supervisor Thesis/Project Title: Monitoring Medical Processes 2011/9 - 2014/12 Stevens, Nathaniel (Completed) , University of Waterloo

Principal Supervisor Thesis/Project Title: Assessment and Comparison of Continuous Measurement Systems 2008/9 - 2016/12 Cooper Barfoot, Patricia (part-time student) (In Progress) , University of Waterloo

Principal Supervisor Student Degree Expected Date: 2016/12 Thesis/Project Title: A Weighted Estimating Equation Approach to Model a Risk-Adjusted Parameter with a Bias/Variance Trade-off 2006/9 - 2012/4 Danila, Oana (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Assessing Binary Measurement Systems

Post-doctorate [n=2] 2015/1 - 2015/7 Stevens, Nathaniel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Applications of the Probability of Agreement 2013/5 - 2013/12 Danila, Oana (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Assessing a Binary Measurement System with Varying Misclassification Rates

Event Administration 2015/4 - 2016/3 Chair, Program Committee and Local Organizer, 4th Annual Hunter Conference, Conference, 2016/3 - 2016/3 2012/7 - 2013/6 Member, Program Committee, Quality and Productivity Conference, Conference, 2013/6 2013/6 2012/4 - 2013/3 Co-conference Program Chair, Stu Hunter Research Conference, Conference, 2013/3 2013/3 2009/6 - 2010/7 Scientific Program Chair, International Society for Business and Industrial Statistics (ISBIS), Conference, 2010/7 - 2010/7

Editorial Activities 2012/7 - 2018/6 Case Studies Editor, Journal of Quality Technology, Journal 2011/1 - 2018/6 Associate Editor, Journal of Quality Technology, Journal 2016/3 - 2017/1 Guest Editor, Quality Engineering, Journal 2010/1 - 2013/7 Associate Editor, Technometrics, Journal 2012/5 - 2013/1 Guest Editor, Quality Engineering, Journal

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Dr. Stefan Steiner 2009/7 - 2012/7 Associate Editor, Quality Technology and Quality Management, Journal

Presentations 1. (2016). Monitoring and Improving Surgical Outcome Quality. European Network for Business and Industrial Statistics, Annual Conference, Shiffield, United Kingdom Invited?: Yes, Keynote?: No 2. (2015). Watfactory: a Virtual Manufacturing Processes for Teaching Process Improvement and Engineering Statistics More Generally. Hong Kong University of Science and Technology, Hong Kong, Hong Kong Invited?: Yes, Keynote?: No 3. (2015). Discussion of "Modern Measurement, Probability and Statistics...". Hunter Conference, Leuven, Belgium Invited?: Yes, Keynote?: No 4. (2015). Academic Job Interviews. Statistical Society of Canada Annual Conference, Halifax, Canada Invited?: Yes, Keynote?: No 5. (2014). Play the Game: Reduce Variation in a Virtual Process. American Society for Quality (ASQ), Hamilton, Canada Invited?: Yes, Keynote?: No 6. (2014). Discussion of "Statistics: A Life Cycle View". Hunter Conference, Phoenix, United States Invited?: Yes, Keynote?: No 7. (2013). Statistical Engineering in Variation Reduction. Hunter Conference, Amsterdam, Netherlands Invited?: Yes, Keynote?: Yes 8. (2013). Playing the Game: Reducing Variation in a Virtual Process. Quality and Productivity Research Conference, GE Global Research, Niskayuna, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2013). Monitoring Medical Outcomes with Weighted Estimating Equation Charts. Imperial College, London, United Kingdom Invited?: Yes, Keynote?: No 10. (2013). Monitoring Medical Outcomes with Weighted Estimating Equation Charts. DAGStat Conference, Freiburg, Germany Invited?: Yes, Keynote?: No 11. (2013). Monitoring Medical Outcomes with Weighted Estimating Equation Charts. University of Guelph, Guelph, Canada Invited?: Yes, Keynote?: No 12. (2013). Monitoring Medical Outcomes with Weighted Estimating Equation Charts. McMaster University, Hamilton, Canada Invited?: Yes, Keynote?: No 13. (2013). Watfactory: A Virtual Manufacturing Environment for Teaching Process Improvement (and Statistics More Generally). Grand Valley Math Association Conference, Waterloo, Canada Invited?: Yes, Keynote?: No 14. (2013). Watfactory: A Virtual Manufacturing Environment for Teaching Process Improvement. Bahcesehir University, Istanbul, Turkey Invited?: Yes, Keynote?: No

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Dr. Stefan Steiner 15. (2012). Assessing A Binary Measurement System with Varying Misclassification Rates. Quality and Productivity Research Conference (QPRC), Miami Beach, United States Invited?: No, Keynote?: No 16. (2012). Monitoring Survival Time Data. Quality and Productivity Research Conference (QPRC), Miami, United States Invited?: Yes, Keynote?: No 17. (2011). ASA Quality and Productivity Process Improvement Contest. Joint Statistical Meetings, Miami Beach, United States Invited?: Yes, Keynote?: No 18. (2011). Assessing a Binary Measurement System with Varying Misclassification Rates and a Random Effects Model. Quality and Productivity Research Conference (QPRC), Roanoke, United States Invited?: Yes, Keynote?: No 19. (2011). New Approaches to Measurement System Assessment. Lunch Roundtable, Joint Statistical Meetings, Miami Beach, United States Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Steiner S, Danila O, Cotton C, *Severn D, MacKay R. (2016). Comparing Two Binary Diagnostic Tests with Repeated Measurements. JRSS-C Applied Statistics. 65: 315-329. Published Refereed?: Yes, Open Access?: Yes 2. *Gweon H, Schonlau M, Kaczmirek L, Blohm M, Steiner SH. (2016). Improving the Accuracy of Automated Occupation Coding at any Production Rate. Journal of Official Statistics. Accepted Refereed?: Yes, Open Access?: Yes 3. Hamada M, Steiner S, MacKay R, Reese C. (2016). Planning and Analyzing Experiments with Models that Distinguish Between Replicates and Repeats. Quality and Reliability Engineering International. Accepted Refereed?: Yes, Open Access?: Yes 4. Steiner S, *Lu Y, MacKay R. (2016). Assessing Binary Measurement Systems and Inspection Protocols Utilizing Follow-up Data. Quality Engineering. 28: 329-336. Published Refereed?: Yes, Open Access?: Yes 5. *Severn D, Steiner S, MacKay R. (2016). Assessing Binary Measurement Systems: A Cost Effective Alternative to Complete Verification. Journal of Quality Technology. 48: 128-138. Published Refereed?: Yes, Open Access?: Yes 6. Steiner S, Woodall W. (2016). Debate: What is the best method to monitor performance in general surgery?. BMC Surgery. 16(15): 1-4. Published Refereed?: Yes, Open Access?: Yes

277

Dr. Stefan Steiner 7. Erdmann T, *Akkerhuis T, deMast J, Steiner S. (2016). The Statistical Evaluation of a Binary Test based on Combined Samples. Journal of Quality Technology. 48: 54-67. Published Refereed?: Yes, Open Access?: Yes 8. Steiner S. (2016). Discussion of "Modern measurement, probability, and Statistics: Some generalities and multivariate illustrations". Quality Engineering. 28: 17-18. Published Refereed?: Yes, Open Access?: No 9. Cotton C, Danila O, Steiner S, *Severn D, MacKay R. (2015). Using Available Information in the Assessment of Diagnostic Protocols. Journal of Biometrics & Biostatistics. 6: 1-8. Published Refereed?: Yes, Open Access?: Yes 10. Steiner S, MacKay R. (2015). Discussion of "Statistics: A Life Cycle View". Quality Engineering. 27: 126- 127. Published Refereed?: Yes, Open Access?: No 11. Woodall W, Fogel S, Steiner S. (2015). The Monitoring and Improvement of Surgical Outcome Quality. Journal of Quality Technology. 47: 383-399. Published Refereed?: Yes, Open Access?: Yes 12. *Stevens N, Steiner S, MacKay R. (2015). Assessing Agreement Between two Measurement Systems: An Alternative to the Limits of Agreement Approach (online now, but print version is still to follow). Statistical Methods in Medical Research. : 1-22. Published Refereed?: Yes, Open Access?: Yes 13. *Stevens N, Steiner S, MacKay R. (2015). Being Smart About Parts. Quality Progress. (March): 32-37. Published Refereed?: No, Open Access?: Yes 14. Gombay E, Hussein A, Steiner S. (2015). Flexible Risk-adjusted Surveillance Procedures for Autocorrelated Binary Series. Canadian Journal of Statistics. 43: 403-419. Published Refereed?: Yes, Open Access?: Yes 15. Steiner S. MacKay R. (2014). Monitoring Risk-adjusted Medical Outcomes Allowing for Changes Over Time. Biostatistics. 16: 665-676. Published Refereed?: Yes, Open Access?: Yes 16. Steiner S, MacKay R. (2014). Statistical Engineering in Variation Reduction. Quality Engineering. 26: 44-60. Published Refereed?: Yes, Open Access?: Yes 17. Jones-Farmer A, Woodall W, Steiner S, Champ C. (2014). An Overview of Phase I Analysis for Process Improvement and Monitoring. Journal of Quality Technology. 46: 265-280. Published Refereed?: Yes, Open Access?: Yes 18. Viveros-Aguilerla R, Steiner S, MacKay R. (2014). Monitoring Product Size and Edging from Bivariate Profile Data. Journal of Quality Technology. 46: 199-215. 278

Dr. Stefan Steiner Published Refereed?: Yes, Open Access?: Yes 19. Steiner S, MacKay R. (2014). Rejoinder for article Statistical Engineering in Variation Reduction. Quality Engineering. 26: 70-71. Published Refereed?: Yes, Open Access?: Yes 20. *Danila O, MacKay R, Steiner S. (2014). Discussion of "The Statistical Evaluation of Categorical Measurements: Simple Scales, but Treacherous Complexity Underneath". Quality Engineering. 26: 33-39. Published Refereed?: Yes, Open Access?: No 21. *Danila O, Steiner S, MacKay R. (2013). Assessing a Binary Measurement System with Varying Misclassification Rates when a Gold Standard is Available. Technometrics. 55: 335-345. Published Refereed?: Yes, Open Access?: Yes 22. *Stevens N, Steiner S, MacKay R. (2013). Gauge R&R Studies that Incorporate Baseline Information. IIE Transactions. 45: 1166-1175. Published Refereed?: Yes, Open Access?: Yes 23. *Danila O, Steiner S, MacKay R. (2012). Assessing a Binary Measurement System with Varying Misclassification Rates Using a Latent Class Random Effects Model. Journal of Quality Technology. 44: 179-191. Published Refereed?: Yes, Open Access?: Yes 24. MacKay R, Steiner S. (2012). Panel discussants for "Statistical Engineering - Forming the Foundations". Quality Engineering. 24: 110-132. Published Refereed?: Yes, Open Access?: No 25. Jones M, Steiner S. (2012). Assessing the Effect of Estimation Error on Risk Adjusted CUSUM Chart Performance. International Journal of Quality in Health Care. 24(2): 176-181. Published Refereed?: Yes, Open Access?: Yes 26. MacKay R, Steiner S. (2012). Panel discussants for "Statistical Engineering - Roles for Statisticians and the Path Forward". Quality Engineering. 24: 133-152. Published Refereed?: Yes, Open Access?: No 27. Steiner S, *Stevens N, Browne R, MacKay R. (2011). Planning and Analysis of Measurement Reliability Studies. Canadian Journal of Statistics. 39: 344-355. Published Refereed?: Yes, Open Access?: Yes 28. *Stevens N. Steiner S, MacKay R, Smith I. (2011). Monitoring Radiation in Cardiology Imaging Equipment. Medical Physics. 38: 317-326. Published Refereed?: Yes, Open Access?: Yes

279

Dr. Stefan Steiner 29. Hussein A, Steiner S, Gombay E. (2011). Monitoring Binary Outcomes Using Risk-adjusted Charts: A Comparative Study. Statistics in Medicine. 30: 2815-2826. Published Refereed?: Yes, Open Access?: Yes 30. *Browne R, Steiner S, MacKay R. (2010). Optimal Two-Stage Reliability Studies. Statistics in Medicine. 29: 229-235. Published Refereed?: Yes, Open Access?: Yes Book Chapters

1. Steiner S. (2014). Risk-adjusted Monitoring of Outcomes in Health Care. Lawless J. Statistics in Action: A Canadian Outlook. : 245-264. Published, Chapman and Hall/CRC Refereed?: Yes

280

Dr. Chaitanya Swamy Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 2006/8 Post-doctorate, Computer Science, California Institute of Technology Supervisors: Prof. Leonard Schulman, 2004/9 - 2006/7 - 2004/5 Doctorate, Computer Science, Cornell University Supervisors: Prof. David Shmoys, 2001/1 - 2004/5 - 2003/5 Master's Thesis, Computer Science, Cornell University Supervisors: Prof. David Shmoys, 2001/1 - - 1999/8 Bachelor's, Computer Science and Engineering, Indian Institute of Technology Supervisors: Prof. Naveen Garg, 1998/3 - 1999/8 Recognitions 2016/4 - 2019/3 Discovery Accelerator Supplement (DAS) Award - 120,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award Awarded to the top 125 applicants selected from the pool of NSERC Discovery Grant applicants in recognition of their "superior research program that is highly rated in terms of originality and innovation" and "strong potential to become international leaders within their field." 2012/1 - 2012/12 Notable Paper Award 2012, ACM Computing Reviews Association for Computing Machinery (ACM) Citation A list of notable computing items published in 2012 according to ACM Computing Reviews. 2010/4 - 2013/3 Discovery Accelerator Supplement (DAS) Award - 120,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award Awarded to the top 125 applicants selected from the pool of NSERC Discovery Grant applicants in recognition of their "superior research program that is highly rated in terms of originality and innovation" and "strong potential to become international leaders within their field." 2009/4 - 2013/3 Early Researcher Award (ERA) - 140,000 Government of Ontario Prize / Award

281

Dr. Chaitanya Swamy Awarded by the Ontario Ministry of Research and Innovation (MRI) to a select group of young researchers "who are making important scientific breakthroughs and creating the jobs of the future."

User Profile

Research Specialization Keywords: Approximation Algorithms, Algorithmic Game Theory

Employment 2016/7 Professor Combinatorics & Optimization, University of Waterloo Full-time, Professor Tenure Status: Tenure 2011/7 - 2016/6 Associate Professor Combinatorics & Optimization, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2006/9 - 2011/6 Assistant Professor Combinatorics & Optimization, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2004/9 - 2006/8 Postdoctoral Scholar Center for the Mathematics of Information, California Institute of Technology Full-time Tenure Status: Non Tenure Track 2004/10 - 2004/11 Visiting Researcher Computer Engineering, Universita Degli Studi di Roma 'La Sapienza' Part- time Tenure Status: Non Tenure Track 1999/8 - 2004/5 Ph.D. student on a Research/Teaching Assistantship Computer Science, Cornell University Full-time Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=2] 2016/4 - 2021/3 Algorithm Design in Strategic and Uncertain Environments, Principal Applicant Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants - Individual Total Funding - 270,000 Portion of Funding Received - 270,000 Funding Competitive?: Yes 2016/4 - 2019/3 Algorithm Design in Strategic and Uncertain Environments, Grant 282 Dr. Chaitanya Swamy Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Accelerator Supplement (DAS) Award Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes

Completed [n=3] 2009/4 - 2016/3 Algorithm Design in Game-theoretic Environments and Settings with Principal Investigator Uncertainty, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants - Individual Total Funding - 150,000 Portion of Funding Received - 150,000 Funding Competitive?: Yes 2010/4 - 2013/3 Algorithm Design in Game-theoretic Environments and Settings with Principal Investigator Uncertainty, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Accelerator Supplement (DAS) Award Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes 2009/4 - 2013/3 Algorithm Design in Game-theoretic Environments and Settings with Principal Investigator Uncertainty, Grant Funding Sources: Ministry of Research and Innovation (MRI) (Ontario) Early Researcher Awards Total Funding - 140,000 Portion of Funding Received - 140,000 Funding Competitive?: Yes Student/Postdoctoral Supervision

Master’s non-Thesis [n=1] 2008/9 - 2009/12 Aaron Dos Remedios (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for Multi-unit Online Auctions with Unknown Supply Present Position: Assortment Analyst, Canadian Tire, Toronto

Master’s Thesis [n=7] 2018/1 - 2019/4 Thomas Baxter (In Progress) Principal Supervisor Thesis/Project Title: In Progress 2017/9 - 2018/12 Alexander Stoll (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: In Progress 2016/9 - 2018/4 Sanchit Kalhan (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for Capacitated Matroid Median

283 Dr. Chaitanya Swamy 2015/9 - 2016/8 Sharat Ibrahimpur (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Packing and Covering Odd (u,v)-Trails in a Graph Present Position: Ph.D. student, Dept. of Combinatorics & Optimization, University of Waterloo 2013/9 - 2015/5 Alexander Lange (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for Graph Protection Problems Present Position: Software Engineer, Square, San Francisco, California, USA 2009/9 - 2011/8 Shubham Gupta (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Building Networks in Uncertainty Present Position: Software Engineer, Snapchat Inc., Mountain View, California, USA 2008/9 - 2010/8 Sara Ahmadian (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Improved Approximation Guarantees for Lower-Bounded Facility Location

Doctorate [n=4] 2016/9 - 2021/8 Sharat Ibrahimpur (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: In Progress 2013/9 - 2018/12 Andre Linhares (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for Optimization Under Uncertainty 2012/1 - 2017/3 Sara Ahmadian (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for Clustering and Facility Location Problems 2008/9 - 2014/1 Hadi Minooei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Mechanism Design for Covering Problems Present Position: Data Scientist, Snapchat Inc., Mountain View, California, USA Post-doctorate [n=5] 2014/10 - 2015/3 Umang Bhaskar (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Postdoctoral Research; resulted in 2 joint publications, one in FOCS 2014, and one submitted to SODA 2015, and various ongoing research projects Present Position: Reader (Assistant Professor), STCS, Tata Institute of Fundamental Research (TIFR), Mumbai, INDIA 2012/11 - 2014/12 Ian Post (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Postdoctoral Research; resulted in 1 joint publication in SODA 2015 Present Position: Software Developer, Google Inc., Mountain View, California, USA 2011/9 - 2013/12 Zachary Friggstad (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Postdoctoral Research; resulted in 3 joint publications in STOC 2014, SODA 2013, APPROX 2015, and various ongoing research projects Present Position: Assistant Professor, Dept. of Computing Science, University of Alberta 2010/8 - 2012/8 Konstantinos Georgiou (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Postdoctoral Research; resulted in 1 joint publication in SODA 2012, whose final version will appear in Games and Economic Behavior 2015 as part of an invited article in a special issue devoted to the best papers in Algorithmic Game Theory from STOC, FOCS, SODA 2012. Present Position: Assistant Professor, Ryerson University

284 Dr. Chaitanya Swamy 2008/7 - 2010/4 Deeparnab Chakrabarty (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Postdoctoral Research; resulted in 2 joint publications in IPCO 2011 and ISAAC 2009, and various ongoing projects. The final version of the IPCO 2011 paper will appear in Mathematics of Operations Research. Present Position: Assistant Professor, Dept. of Computer Science, Dartmouth College, Hanover, USA Research Associate [n=3] 2016/5 - 2016/8 Ting Han Hu (Completed) Principal Supervisor Thesis/Project Title: Approximation Algorithms for k-Anonymity with Suppression Present Position: Undergraduate student in Computer Science, University of Waterloo 2011/5 - 2011/8 Tyler Johnson (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Approximation Algorithms for the Matroid Steiner Tree Problem 2009/5 - 2009/8 Ming Ben Feng (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stackelberg Pricing Games Present Position: Assistant Professor, Statistics and Actuarial Science, University of Waterloo

Event Administration 2018/7 - 2018/7 Organizer and Chair, Session on "Approximation Algorithms for Clustering", 23rd International Symposium on Mathematical Programming (ISMP), Bordeaux, Conference, 2018/7 - 2018/7 2017/6 - 2017/6 Co-organizer, 19th conference on Integer Programming and Combinatorial Optimization (IPCO), Waterloo, Conference, 2017/6 - 2017/6 2014/5 - 2014/5 Organizer and Chair, Session on "Algorithmic Game Theory", 56th CORS-INFORMS International Meeting, Ottawa, Conference, 2014/5 - 2014/5 2013/7 - 2013/8 Co-organizer, Fields Workshop on "Flexible Network Design", Workshop, 2013/7 - 2013/8 2012/8 - 2012/8 Organizer and Chair, Session on "Approximation Algorithms for Stochastic Combinatorial Optimization", 21st International Symposium on Mathematical Programming (ISMP), Berlin, Conference, 2012/8 - 2012/8 2012/8 - 2012/8 Organizer and Chair, Session on "Approximation in Algorithmic Game Theory", 21st International Symposium on Mathematical Programming (ISMP), Berlin, Conference, 2012/8 - 2012/8 2009/6 - 2009/6 Organizer and Chair, Session on "Algorithmic Game Theory", CORS-INFORMS International Meeting, Toronto, Conference, 2009/6 - 2009/6

Editorial Activities 2014/10 - 2017/12 Associate Editor, SIAM Journal on Computing (SICOMP). (SICOMP and JACM are widely considered to be the premier journals in Theoretical CS), Journal 2013/8 - 2016/8 Associate Editor, Discrete Optimization, Journal

Committee Memberships 2017/4 - 2017/10 Committee Member, Program Committee, 58th Annual IEEE Symposium on Foundations of Computer Science (FOCS), Institute of Electrical and Electronics Engineers (IEEE) 2017/5 - 2017/9 Committee Member, Program Committee, 10th International Symposium on Algorithmic Game Theory (SAGT), Gran Sasso Science Institute (GSSI)

285 Dr. Chaitanya Swamy 2017/2 - 2017/6 Committee Member, Program Committee, 18th ACM conference on Economics and Computation (EC), Association for Computing Machinery (ACM) 2016/7 - 2016/12 Committee Member, Program Committee, 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS), Indian Association for Research in Computing Science (IARCS) 2015/6 - 2015/12 Committee Member, Program Committee, 26th International Symposium on Algorithms and Computation (ISAAC), Nagoya University 2015/4 - 2015/8 Committee Member, Program Committee, 18th International Workshop on Approximation Algorithms for Combinatorial Optimization (APPROX), Princeton University 2014/12 - 2015/5 Committee Member, Program Committee, 12th Theory and Applications of Models of Computation (TAMC), National University of Singapore 2014/5 - 2014/10 Committee Member, Program Committee, 7th International Symposium on Algorithmic Game Theory (SAGT), University of Patras 2013/11 - 2014/6 Committee Member, Program Committee, 17th Conference on Integer Programming and Combinatorial Optimization (IPCO), Mathematical Optimization Society (MOS) 2013/7 - 2014/1 Committee Member, Program Committee, 25th ACM-SIAM Symposium on Discrete Algorithms (SODA), Society for Industrial and Applied Mathematics (SIAM) 2012/4 - 2012/6 Committee Member, Program Committee, Workshop on Risk Aversion in Algorithmic Game Theory and Mechanism Design, 13th ACM Conference on Electronic Commerce (EC) 2011/4 - 2011/8 Committee Member, Program Committee, 14th International Workshop on Approximation Algorithms for Combinatorial Optimization (APPROX), Princeton University 2010/2 - 2010/7 Committee Member, Program Committee, 16th International Computing and Combinatorics Conference (COCOON), Nha Trang University 2010/2 - 2010/6 Committee Member, Program Committee, 12th Scandinavian Symposium and Workshop on Algorithm Theory (SWAT), University of Bergen 2009/2 - 2009/7 Committee Member, Program Committee, 15th International Computing and Combinatorics Conference (COCOON), SUNY at Buffalo

Other Memberships 2015/4 - 2016/4 Society Member, Mathematical Optimization Society (MOS) 2014/5 - 2016/4 Society Member, Association for Computing Machinery (ACM) 2014/5 - 2016/4 Society Member, Special Interest Group on Algorithms and Computation (SIGACT), ACM 2014/11 - 2015/11 Society Member, Soicety for Industrial and Applied Mathematics (SIAM)

Presentations 1. (2017). Signaling in Bayesian Games. 6th Canadian Discrete and Algorithmic Mathematics Conference (CanaDAM), Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2017). Compact, Provably-Good LPs for Orienteering and Regret-Bounded Vehicle Routing. 19th International Conference on Integer Programming and Combinatorial Optimization (IPCO), Waterloo, Canada

286 Dr. Chaitanya Swamy Main Audience: Researcher Invited?: No, Keynote?: No 3. (2017). New Perspectives and Challenges in Routing Games: Query models & Signaling (Tutorial). 13th Conference on Web and Internet Economics (WINE), Bangalore, India Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2017). Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Bridging Continuous and Discrete Optimization Seminar, Simons Institute for the Theory of Computing, UC Berkeley, Berkeley, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2017). Compact, Provably-Good LPs for Orienteering and Regret-Bounded Vehicle Routing. Discrete Optimization via Continuous Relaxation, Workshop at the Simons Institute for the Theory of Computing, UC Berkeley, Berkeley, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2016). Approximation Algorithms for Min-Cost Chain-Constrained Spanning Trees. INFORMS Annual Meeting, Nashville, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2016). Approximation Algorithms for Regret-Bounded Vehicle Routing and Related Problems via LPs. Google, Mountain View, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2016). Compact, Provably-Good LPs for Orienteering and Regret-Bounded Vehicle Routing. Algorithms and Uncertainty Seminar, Simons Institute for the Theory of Computing, UC Berkeley, Berkeley, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2016). Approximation Algorithms for Min-Cost Chain-Constrained Spanning Trees. 2016 CMS Winter Meeting, Niagara Falls, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2015). Signaling in Bayesian Games. Game Theory Workshop, Hausdorff Institute of Mathematics (HIM) Trimester on Combinatorial Optimization, Bonn, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes 11. (2015). LP-based Techniques for Minimum-Latency Problems. Hausdorff Institute of Mathematics (HIM) Trimester on Combinatorial Optimization, Bonn, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2015). Linear-Programming based Approximation Algorithms for Multi-Vehicle Minimum Latency Problems. 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), San Diego, United States Main Audience: Researcher Invited?: No, Keynote?: No

287 Dr. Chaitanya Swamy 13. (2015). Approximation Algorithms for Min-Cost Chain-Constrained Spanning Trees. 6th Cargese Workshop on Combinatorial Optimization, Cargese, France Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2015). Approximation Algorithms for Regret-Bounded Vehicle Routing and Applications. 21st International Symposium on Mathematical Programming (ISMP), Pittsburgh, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2014). Learning Mixtures of Arbitrary Distributions over Large Discrete Domains. 5th Innovations in Theoretical Computer Science (ITCS) Conference, Princeton, United States Main Audience: Researcher Invited?: No, Keynote?: No 16. (2014). Linear-Programming based Approximation Algorithms for Multi-Vehicle Minimum Latency Problems. 7th Workshop on Flexible Network Design, IDSIA, Lugano, Switzerland Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2014). Welfare Maximization and Truthfulness in Mechanism Design with Ordinal Preferences. 5th Innovations in Theoretical Computer Science (ITCS) Conference, Princeton, United States Main Audience: Researcher Invited?: No, Keynote?: No 18. (2014). Improved Region-Growing and Combinatorial Algorithms for k-Route Cut Problems. Banff Workshop on Approximation Algorithms and Hardness of Approximation, Banff, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2014). Welfare Maximization and Truthfulness in Mechanism Design with Ordinal Preferences. Bellairs Workshop on Algorithmic Game Theory, Holetown, Barbados Main Audience: Researcher Invited?: Yes, Keynote?: No 20. (2014). Mechanism Design for Covering Problems. Greece Economic and Algorithmic Theory (GREAT) Week, Paros, Greece Main Audience: Researcher Invited?: Yes, Keynote?: No 21. (2014). Approximation Algorithms for Regret-Bounded Vehicle Routing and Applications to DistanceConstrained Vehicle Routing. 46th Annual ACM Symposium on Theory of Computing (STOC), New York, United States Main Audience: Researcher Invited?: No, Keynote?: No 22. (2014). Welfare Maximization and Truthfulness in Mechanism Design with Ordinal Preferences. 56th CORS-INFORMS International Meeting, Ottawa, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 23. (2012). Black-Box Reductions for Cost-Sharing Mechanism Design. IST Lunch Bunch Seminar, CALTECH, Pasadena, United States Main Audience: Researcher Invited?: Yes, Keynote?: No

288 Dr. Chaitanya Swamy 24. (2012). LP-Based Techniques for Minimum Latency Problems. 5th Workshop on Flexible Network Design, University of Warsaw, Warsaw, Poland Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2012). Black-Box Reductions for Cost-Sharing Mechanism Design. Bellairs Workshop on Algorithmic Game Theory, Holetown, Barbados Main Audience: Researcher Invited?: Yes, Keynote?: No 26. (2012). LP-Based Techniques for Minimum Latency Problems. Theory Seminar, RWTH Aachen University, Aachen, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2012). Black-Box Reductions for Cost-Sharing Mechanism Design. Dept. of Computing and Software Seminar, McMaster University, Hamilton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 28. (2012). Risk-averse Stochastic Optimization: Models and Algorithms. 20th International Symposium on Mathematical Programming (ISMP), Berlin, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 29. (2012). Black-Box Reductions for Cost-Sharing Mechanism Design. 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Kyoto, Japan Main Audience: Researcher Invited?: No, Keynote?: No 30. (2011). Risk-averse Stochastic Optimization: Probabistically-Constrained Models and Algorithms for BlackBox Disributions. 22nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), San Francisco, United States Main Audience: Researcher Invited?: No, Keynote?: No 31. (2011). Facility Location with Client Latencies: LP-Based Techniques for Minimum Latency Problems. 15th International Conference on Integer Programming and Combinatorial Optimization (IPCO), Armonk, United States Main Audience: Researcher Invited?: No, Keynote?: No 32. (2011). LP-Based Techniques for Minimum Latency Problems. Banff Workshop on Approximation Algorithms and Hardness of Approximation, Banff, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No Publications

Journal Articles

1. U. Bhaskar, K. Ligett, L. Schulman, and C. Swamy. (2017). Achieving target equilibria in network routing games without knowing the latency functions. Games and Economic Behavior. Special issue devoted to selected papers from FOCS, STOC, SODA 2014, 2015. Revision Requested 289 Dr. Chaitanya Swamy Refereed?: Yes 2. S. Ahmadian*, B. Behsaz, Z. Friggstad, A. Jorati, M. Salavatipour, and C. Swamy. (2017). Approximation algorithms for minimum-load k-facility location. ACM Transactions on Algorithms. Accepted Refereed?: Yes 3. A. Linhares* and C. Swamy. (2017). Approximating min-cost chain-constrained spanning trees: a reduction from weighted to unweighted problems. Mathematical Programming. Special issue devoted to papers from IPCO 2016. In Press Refereed?: Yes 4. D. Chakrabarty and C. Swamy. (2016). Facility location with client latencies: linear-programming based techniques for minimum-latency problems. Mathematics of Operations Research. 41(3): 865-883. Published Refereed?: Yes 5. C. Swamy. (2016). Improved approximation algorithms for matroid and knapsack median problems and applications. ACM Transactions on Algorithms. 12(4): Article 49 (23 pgs.). Published Refereed?: Yes 6. K. Georgiou and C. Swamy. (2015). Black-box reductions for cost-sharing mechanism design. Games and Economic Behavior. Special issue devoted to selected papers from SODA, FOCS, STOC, 2012. In Press Refereed?: Yes 7. H. Minooei* and C. Swamy. (2015). Near-optimal and robust mechanism design for covering problems with correlated players. ACM Transactions on Economics and Computation. Special issue devoted to selected papers from the 9th Conference on Web and Internet Economics (WINE), 2013. 3(4): Article 19 (24 pgs.). Published Refereed?: Yes 8. R. Levi, D. B. Shmoys, and C. Swamy. (2012). LP-based approximation algorithms for capacitated facility location. Mathematical Programming. 131(1-2): 365-379. Published Refereed?: Yes 9. C. Swamy. (2012). The effectiveness of Stackelberg strategies and tolls for network congestion games. ACM Transactions on Algorithms. 8(4): Article 36 (19 pgs.). Published Refereed?: Yes 10. R. Ostrovsky, Y. Rabani, L. Schulman, and C. Swamy. (2012). The effectiveness of Lloyd-type methods for the k-means problem. Journal of the ACM. 59(6): Article 28 (22 pgs.). Published Refereed?: Yes 11. C. Swamy and D. B. Shmoys. (2012). Sampling-based approximation algorithms for multi-stage stochastic optimization. SIAM Journal on Computing. 41(4): 975-1004. Published Refereed?: Yes 12. E. Anshelevich, D. Chakrabarty*, A. Hate, and C. Swamy.(2012). Approximation algorithms for the firefighter problem: computing cuts over time. Algorithmica. 62(1-2): 520-536. Published

290 Dr. Chaitanya Swamy Refereed?: Yes 13. R. Lavi and C. Swamy. (2011). Truthful and near-optimal mechanism design via linear programming. Journal of the ACM. 58(6): Article 25 (24 pgs.). Published Refereed?: Yes Conference Publications

1. U. Bhaskar, S. Ahmadian*, L. Sanita, and C. Swamy. (2018). Algorithms for inverse optimization problems. 45th International Colloquium on Automata, Languages and Programming (ICALP), Prague, Czech Republic Conference Date: 2018/7 Paper Submitted Refereed?: Yes, Invited?: No 2. D. Chakrabarty and C. Swamy. (2018). Interpolating between k-median and k-center: approximation algorithms for ordered k-median. 45th International Colloquium on Automata, Languages and Programming (ICALP), Prague, Czech Republic Conference Date: 2018/7 Paper Submitted Refereed?: Yes, Invited?: No 3. A. Das, S. Gollapudi, A. Kim, D. Panigrahi, and C. Swamy. (2018). Minimizing latency in online ride and delivery services. Proceedings. The Web Conference (WWW), Lyon, France Conference Date: 2018/4 Paper In Press Refereed?: Yes, Invited?: No 4. Z. Friggstad, S. Gollapudi, K. Kollias, C. Swamy, T. Sarlos, and A. Tomkins. (2018). Orienteering algorithms for generating travel itineraries. Proceedings. 11th ACM International Conference on Web Search and Data Mining (WSDM), Los Angeles, United States (180-188) Conference Date: 2018/2 Paper Published Refereed?: Yes, Invited?: No 5. J. Konemann, N. Olver, K. Pashkovich, R. Ravi, C. Swamy, and J. Vygen. (2017). On the integrality gap of the prize-collecting Steiner forest LP. Proceedings. 20th International Workshop on Algorithms for Combinatorial Optimization (APPROX), Berkeley, United States (17:1-17:13) Conference Date: 2017/8 Paper Published Refereed?: Yes, Invited?: No 6. A. Linhares* and C. Swamy. (2017). Improved algorithms for minimum-spanning-tree and metric-TSP interdiction. Proceedings. 44th International Colloquium on Automata, Languages and Programming (ICALP), Warsaw, Poland (32:1-32:14) Conference Date: 2017/7 Paper Published Refereed?: Yes, Invited?: No

291 Dr. Chaitanya Swamy 7. S. Ibrahimpur* and C. Swamy. (2017). Min-max theorems for packing and covering odd (u,v)-trails. Proceedings. 19th International Conference on Integer Programming and Combinatorial Optimization (IPCO), Waterloo, Canada (279-291) Conference Date: 2017/6 Paper Published Refereed?: Yes, Invited?: No 8. Z. Friggstad and C. Swamy. (2017). Compact, provably-good LPs for orienteering and regret-bounded vehicle routing. Proceedings. 19th International Conference on Integer Programming and Combinatorial Optimization (IPCO), Waterloo, Canada (199-211) Conference Date: 2017/6 Paper Published Refereed?: Yes, Invited?: No 9. S. Ahmadian* and C. Swamy. (2016). Approximation algorithms for clustering problems with lower bounds and outliers. Proceedings. 43rd International Colloquium on Automata, Languages and Programming (ICALP), Rome, Italy (69:1-69:15) Conference Date: 2016/7 Paper Published Refereed?: Yes, Invited?: No 10. U. Bhaskar, Y. Cheng, Y. K. Ko, and C. Swamy. (2016). Hardness results for signaling in Bayesian zerosum and network-routing games. Proceedings. 17th ACM Conference on Economics and Computation (EC), Maastricht, Netherlands (479-496) Conference Date: 2016/7 Paper Published Refereed?: Yes, Invited?: No 11. A. Linhares* and C. Swamy. (2016). Approximating min-cost chain-constrained spanning trees: a reduction from weighted to unweighted problems. Proceedings. 18th International Conference on Integer Programming and Combinatorial Optimization (IPCO), Liege, Belgium (38-49) Conference Date: 2016/6 Paper Published Refereed?: Yes, Invited?: No 12. J. Li, Y. Rabani, L. Schulman, and C. Swamy. (2015). Learning arbitrary statistical mixtures of discrete distributions. Proceedings. 47th Annual ACM Symposium on Theory of Computing (STOC), Portland, United States (743-752) Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: No 13. G. Guruganesh*, L. Sanita, and C. Swamy. (2015). Improved region-growing and combinatorial algorithms for k-route cut problems. Proceedings. 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), San Diego, United States (676-695) Conference Date: 2015/1 Paper

292 Dr. Chaitanya Swamy Published Refereed?: Yes, Invited?: No 14. I. Post* and C. Swamy.(2015). Linear-programming based approximation algorithms for multi-vehicle minimum latency problems. Proceedings. 26th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), San Diego, United States (512-531) Conference Date: 2015/1 Paper Published Refereed?: Yes, Invited?: No 15. Y. Rabani, L. Schulman, and C. Swamy. (2014). Learning mixtures of arbitrary distributions over large discrete domains. Proceedings. 5th Innovations in Theoretical Computer Science (ITCS) Conference, Princeton, United States (207-224) Conference Date: 2014/12 Paper Published Refereed?: Yes, Invited?: No 16. D. Chakrabarty and C. Swamy. (2014). Welfare maximization and truthfulness in mechanism design with ordinal preferences. Proceedings. 5th Innovations in Theoretical Computer Science (ITCS) Conference, Princeton, United States (105-120) Conference Date: 2014/12 Paper Published Refereed?: Yes, Invited?: No 17. U. Bhaskar*, K. Ligett, L. Schulman, and C. Swamy.(2014). Achieving target equilibria in network routing games without knowing the latency functions. Proceedings. 55th Annual IEEE Symposium on Foundations of Computer Science (FOCS), Philadelphia, United States (31-40) Conference Date: 2014/10 Paper Published Refereed?: Yes, Invited?: No 18. C. Swamy. (2014). Improved approximation algorithms for matroid and knapsack median problems and applications. Proceedings. 17th International Workshop on Algorithms for Combinatorial Optimization (APPROX), Barcelona, Spain (403-418) Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: No 19. S. Ahmadian*, B. Behsaz, Z. Friggstad, A. Jorati, M. Salavatipour, and C. Swamy. (2014). Approximation algorithms for minimum-load k-facility location. Proceedings. 17th International Workshop on Algorithms for Combinatorial Optimization (APPROX), Barcelona, Spain (17-33) Conference Date: 2014/9 Paper Published Refereed?: Yes, Invited?: No 20. Z. Friggstad* and C. Swamy.(2014). Approximation algorithms for regret-bounded vehicle routing and applications to distance-constrained vehicle routing. Proceedings. 46th Annual ACM Symposium on Theory of Computing (STOC), New York, United States (744-753) 293 Dr. Chaitanya Swamy Conference Date: 2014/5 Paper Published Refereed?: Yes, Invited?: No 21. H.Minooei* and C. Swamy. (2013). Near-optimal and robust mechanism design for covering problems with correlated players. Proceedings. 9th Conference on Web and Internet Economics (WINE), Cambridge, United States (377-390) Conference Date: 2013/12 Paper Published Refereed?: Yes, Invited?: No 22. S. Leonardi, N. Megow, R. Rischke, L. Stougie, C. Swamy, and J. Verschae. (2013). Scheduling with timevarying cost: deterministic and stochastic models. Conference booklet. 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont-à-Mousson, France Conference Date: 2013/6 Abstract Published Refereed?: No, Invited?: No 23. S. Ahmadian*, Z. Friggstad*, and C. Swamy.(2013). Local-search based approximation algorithms for mobile facility location problems. Proceedings. 24th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), New Orleans, United States (1607-1621) Conference Date: 2013/1 Paper Published Refereed?: Yes, Invited?: No 24. H.Minooei* and C. Swamy. (2012). Truthful mechanism design for multidimensional covering problems. Proceedings. 8th Workshop on Internet and Network Economics (WINE), Liverpool, United Kingdom (448- 461) Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 25. S. Ahmadian* and C. Swamy. (2012). Improved approximation guarantees for lower-bounded facility location. Proceedings. 10th Workshop on Approximation and Online Algorithms (WAOA), Ljubljana, Slovenia (252-271) Conference Date: 2012/9 Paper Published Refereed?: Yes, Invited?: No 26. K. Georgiou* and C. Swamy.(2012). Black-box reductions for cost-sharing mechanism design. Proceedings. 23rd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Kyoto, Japan (896-913) Conference Date: 2012/1 Paper Published Refereed?: Yes, Invited?: No 27. D. Chakrabarty* and C. Swamy.(2011). Facility location with client latencies: linear-programming based techniques for minimum-latency problems. Proceedings. 15th International Conference on Integer 294 Dr. Chaitanya Swamy Programming and Combinatorial Optimization (IPCO), Armonk, United States (92-103) Conference Date: 2011/6 Paper Published Refereed?: Yes, Invited?: No 28. C. Swamy. (2011). Risk-averse stochastic optimization: probabilistically-constrained models and algorithms for black-box distributions.Proceedings. 22nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), San Francisco, United States (1627-1646) Conference Date: 2011/1 Paper Published Refereed?: Yes, Invited?: No

295 Professor Levent Tuncel Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 1992/8 Doctorate, Operations Research, Cornell University Supervisors: Michael J. Todd, 1988/8 - 1992/8 - 1990/8 Master's non-Thesis, Operations Research, Cornell University Supervisors: Michael J. Todd, 1988/8 - 1990/8 - 1988/2 Master's Thesis, Industrial Engineering, Middle East Technical University Supervisors: Murat Koksalan, 1986/2 - 1988/2 - 1986/2 Bachelor's, Industrial Engineering, Dokuz Eylül Üniversitesi (Ninth September University) S Supervisors: Cevdet Ogut, 1981/9 - 1986/2

Recognitions 2014/5 Outstanding Performance Award University of Waterloo Prize / Award For outstanding performance in scholarship and teaching, each faculty member is eligible once every three years. 2014/3 Distinguished Teacher Award University of Waterloo Prize / Award University of Waterloo's highest honour for teaching. 2012/6 Faculty of Mathematics Award for Distinction in Teaching University of Waterloo Prize / Award Faculty of Mathematics' highest honour for teaching. 2011/5 Outstanding Performance Award University of Waterloo Prize / Award For outstanding performance in scholarship and teaching, each faculty member is eligible once every three years. User Profile

Research Specialization Keywords: optimization, operations research 296

Professor Levent Tuncel Employment 1992/9 Tenured Full Professor Combinatorics and Optimization, University of Waterloo Full-time, Professor Tenure Status: Tenure 2017/8 - 2017/12 Long-term Visiting Scientist Simons Institute for the Theory of Computing, University of California, Berkeley Full-time, Visiting Professorship, Professor Tenure Status: Non Tenure Track 2002/3 - 2004/12 Consultant Scheduling Algorithms, Alcan Inc. Part-time, Consultation Tenure Status: Non Tenure Track 2002/1 - 2002/5 Senior Long-Term Visitor Fields Institute, Fields Inst. for Res. in Mathematical Sc. Part-time, Visiting Professorship Tenure Status: Non Tenure Track 1999/9 - 1999/12 Institute Member Fields Institute, Fields Inst. for Res. in Mathematical Sc. Part-time, Visiting Professorship Tenure Status: Non Tenure Track 1999/6 - 1999/7 Visiting Scientist Operations Research Center, Massachusetts Institute of Technology Full-time, Visiting Professorship Tenure Status: Non Tenure Track 1998/8 - 1998/9 General Member MSRI, University of California, Berkeley Full-time, Visiting Professorship Tenure Status: Non Tenure Track 1997/10 - 1998/3 Invited Visiting Associate Professor Mathematical and Computing Sciences, Tokyo Institute of Technology Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track 1992/9 - 1993/3 Visiting Scientist Operations Research and Information Engineering, Cornell University Part-time, Visiting Professorship Tenure Status: Non Tenure Track 1990/5 - 1990/8 Lecturer Operations Research and Information Engineering, Cornell University Full-time, Sessional, Lecturer Tenure Status: Non Tenure Track

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Professor Levent Tuncel Research Funding History Awarded [n=3] 2018/1 - 2020/12 Mathematics of primal-dual algorithms for large-scale optimization, combinatorial and Principal Applicant geometric structures, min-max theorems, Grant Funding Sources: Office of Naval Research Mathematical Optimization and Operations Research Total Funding - 201,927 Portion of Funding Received - 5,000 Funding Competitive?: Yes Co-investigator : Bertrand Guenin 2015/4 - 2020/3 Design, analysis and implementation of algorithms utilizing convex optimization, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants Total Funding - 145,000 Portion of Funding Received - 87,000 Funding Competitive?: Yes 2015/3 - 2018/2 Combinatorial and Geometric Structures, Convex Optimization leading to Matrix Principal Applicant Recovery, Efficient Combinatorial Algorithms and Min-Max Theorems., Grant Funding Sources: Office of Naval Research Mathematical Optimization and Operations Research Total Funding - 152,667 Portion of Funding Received - 152,667 Funding Competitive?: Yes Co-investigator : Bertrand Guenin

Completed [n=2] 2010/4 - 2015/3 Mathematical Optimization and Operations Research, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grants Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes 2011/11 - 2014/10 Combinatorial and Geometric Structures, Convex Optimization Leading to Low Rank Principal Applicant Matrix Recovery, Robust Optimization and Efficient Combinatorial Algorithms, Grant Funding Sources: Office of Naval Research Mathematical Optimization and Operations Research Total Funding - 150,252 Portion of Funding Received - 150,252 Funding Competitive?: Yes Co-investigator : Bertrand Guenin

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Professor Levent Tuncel Student/Postdoctoral Supervision

Bachelor’s Honours [n=4] 2017/5 - 2017/8 Sabrina Chen Wen Zhai (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2020/4 Thesis/Project Title: Maximum volume, centre-specified ellipsoids inscribed in convex cones Present Position: Student, University of Waterloo 2016/5 - 2016/8 Billy Zhangxu Jin (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/4 Thesis/Project Title: Structured bilinear mixed integer programming problems: theory and algorithms Present Position: Student, University of Waterloo 2015/5 - 2015/8 Jackie Baek (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Simple and efficient algorithms for multi-processor scheduling Present Position: PhD student, Operations Research Center, M.I.T. 2012/5 - 2012/8 Hanson Wang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Classification of Maximal Lattice-Free Convex Bodies in Small Dimensional Euclidean Spaces Present Position: Software Engineer, Facebook, CA, USA Master’s Thesis [n=4] 2014/9 - 2016/8 Julian Ariel Romero Barbosa (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Applied Hilbert Nullstellensatz for combinatorial optimization Present Position: PhD student, University of Waterloo 2014/9 - 2016/8 Shuxin Zhang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On polynomial-time path-following interior-point methods with local superlinear convergence Present Position: Mathematics teacher 2014/5 - 2016/4 Miaolan Xie (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Inner approximation of convex cones via primal-dual ellipsoidal norms Present Position: Data Scientist, Scotiabank 2011/5 - 2012/12 Mehdi Karimi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Quick-and-Dirty Approach to Robustness in Linear Optimization Present Position: PhD student, University of Waterloo

Doctorate [n=8] 2016/9 - 2020/9 Julian Ariel Romero Barbosa (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2020/8 Thesis/Project Title: TBA Present Position: PhD student, University of Waterloo 2015/9 - 2019/8 Leanne Stuive (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2019/8 Thesis/Project Title: TBA Present Position: PhD student

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Professor Levent Tuncel 2013/1 - 2018/8 Nargiz Kalantarova (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: TBA Present Position: PhD student 2013/1 - 2017/8 Mehdi Karimi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Convex Optimization via domain-driven barriers and primal-dual interior-point methods Present Position: Postdoctoral researcher, University of Waterloo 2011/5 - 2015/8 Tor Myklebust (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: On primal-dual interior-point algorithms for convex optimisation Present Position: System Analyst, A Financial Investment Management Company 2009/5 - 2013/8 Marcel Kenji de Carli Silva (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Geometric Ramifications of Lovasz Theta Function and their Interplay with Duality Present Position: Assistant Professor, Dept. of Computer Science, University of Sao Paulo 2008/1 - 2014/8 Yu Hin Au (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Comprehensive Analysis of Lift-and-Poject Methods for Combinatorial Optimization Present Position: Assistant Professor, Milwaukee School of Engineering, USA 2007/5 - 2012/4 Jamie Sikora (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Analyzing Quantum Cryptographic Protocols Using Optimization Techniques Present Position: Postdoctoral Researcher, National University of Singapore, Singapore

Post-doctorate [n=3] 2017/9 - 2018/8 Mehdi Karimi (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Domain Driven Formulations, Algorithms, Analysis and Software for convex optimization Present Position: Postdoctoral Researcher, University of Waterloo 2013/9 - 2013/12 Marcel Kenji de Carli Silva (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Min-Max Theorems via Semidefinite Optimization Present Position: Assistant Professor, Dept. of Computer Science, University of Sao Paulo 2011/8 - 2013/8 Yingnan Wang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Convex Optimization with applications to sparse vector recovery, lowrank matrix recovery Present Position: Unknown

Event Administration 2014/7 - 2015/7 Co-organizer of Conic Programming Cluster, 22nd International Symposium on Mathematical Programming, Conference, 2015/7 - 2015/7 2011/7 - 2012/7 Member of the Organizing Committee, Matchings, Matroids and Extensions Conference, Conference, 2012/6 - 2012/6

Editorial Activities 2018/1 - 2020/12 Co-Editor, Mathematical Programming, Journal

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Professor Levent Tuncel 2014/1 - 2020/12 Associate Editor, Journal of Optimization Theory and Applications, Journal 2009/1 - 2018/12 Associate Editor, Mathematics of Operations Research, Journal 2007/1 - 2018/12 Associate Editor, SIAM Journal on Optimization, Journal 2015/2 - 2017/12 Associate Editor, Mathematical Programming, Journal 2011/1 - 2012/12 Guest Editor, Pacific Journal of Optimization, Journal

Presentations 1. (2018). Primal-dual algorithms for convex optimization: Hyperbolic polynomials and beyond Part II (for domain driven formulations). Workshop on Algebraic Geometry, Approximation and Optimization, MATRIX Mathematical Research Institute, University of Melbourne Creswick Campus, Creswick, Australia Main Audience: Researcher Invited?: Yes, Keynote?: Yes 2. (2018). A notion of total dual integrality for convex, semidefinite and extended formulations. Workshop on Algebraic Geometry, Approximation and Optimization, MATRIX Mathematical Research Institute, University of Melbourne Creswick Campus, Creswick, Australia Main Audience: Researcher Invited?: Yes, Keynote?: Yes 3. (2018). Primal-dual algorithms for convex optimization: Hyperbolic polynomials and beyond. Workshop on Algebraic Geometry, Approximation and Optimization, MATRIX Mathematical Research Institute, University of Melbourne Creswick Campus, Creswick, Australia Main Audience: Researcher Invited?: Yes, Keynote?: Yes 4. (2017). Hyperbolic polynomials, homogeneous cones and primal-dual interior-point methods. Simons Institute for the Theory of Computing, University of California at Berkeley, Seminar, Berkeley, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2017). Polynomial optimization with a focus on hyperbolic polynomials. Real Algebraic Geometry with a view toward Moment Problems and Optimization Workshop, Oberwolfach, Germany Main Audience: Researcher Invited?: Yes, Keynote?: Yes 6. (2017). Some bridges from self-concordance to applications in convex optimization. Workshop on Modern Convex Optimization and Applications, Fields Institute, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2017). Convex optimization: A hierarchy of convex cones and new developments in primal-dual algorithms. University of California at San Diego, Department of Mathematics Seminar, San Diego, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2017). New developments in primal-dual interior-point algorithms for convex optimization. SIAM Conference on Optimization, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2016). Geometric and analytic properties of MaxCut SDP. Winter Meeting of the Canadian Mathematical Society, Niagara Falls, Canada 301

Professor Levent Tuncel Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2016). Semidefinite Programming Techniques in Combinatorial Optimization (I-IV) (four lectures). Sao Paulo School of Advanced Science on Algorithms, Combinatorics and Optimization, University of Sao Paulo, Sao Paulo, Brazil Main Audience: Researcher Invited?: Yes, Keynote?: Yes 11. (2016). Elementary polytopes and their lift-and-project ranks. Mixed Integer Programming Workshop (MIP 2016), University of Miami, Miami, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2016). Variable Hessian metrics and primal-dual algorithms for convex optimization. Informal Workshop on Nonlinear Optimization, University of Western Ontario, London, Ontario, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2015). Elementary polytopes, their lift-and-project ranks and integrality gaps. Workshop on ``Modern techniques in discrete optimization: mathematics, algorithms and applications, Banff International Research Station (BIRS)-Oaxaca, Oaxaca, Mexico Main Audience: Researcher Invited?: Yes, Keynote?: No 14. (2015). Superlinear convergence of polynomial-time interior-point methods for convex optimization. CARMA Seminar, The University of Newcastle, Newcastle, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2015). Primal-dual symmetric interior-point methods: From SDP to hyperbolicity cone programming and beyond. 22nd International Symposium on Mathematical Programming (ISMP 2015), Pittsburgh, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2015). Superlinear convergence in modern convex optimization. Department of Mathematics Seminar, Koc University, Istanbul, Turkey Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2015). ift-and-project methods: A meeting place for combinatorial optimization, semidefinite programming, and convex algebraic geometry. Optimization Seminar, RMIT University, Melbourne, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 18. (2015). Primal-dual symmetric interior-point methods for convex optimization. CORE Seminar, Universite Catholique de Louvain, Louvain Le Neuve, Belgium Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2015). Coffman-Sethi conjecture in multi-processor scheduling. Discrete Math. Seminar, Monash University, Clayton, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No

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Professor Levent Tuncel 20. (2014). Combinatorial and Geometric Structures, min-max Theorems, Convex Optimization. Office of Naval Research Review Workshop, M.I.T., Cambridge, United States Main Audience: Decision Maker Invited?: Yes, Keynote?: No 21. (2014). Foundations of primal-dual interior-point methods for convex optimization. Tutte Colloquium, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 22. (2014). Elements of primal-dual interior-point methods for hyperbolic cone programming and beyond. AMS 2014 Spring Eastern Sectional Meeting, Baltimore, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 23. (2014). Primal-Dual Symmetric Interior-Point Methods from SDP to Hyperbolic Cone Programming and Beyond. Simons Institute for the Theory of Computing, UC Berkeley, Workshop: Semidefinite Optimization, Approximation and Applications, Berkeley, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 24. (2013). Hyperbolic cone programming: structure and interior-point algorithms. SIAM Applied Algebraic Geometry Conference, Fort Collins, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 25. (2013). An Improvised Approach to Robustness in Linear and Semidefinite Optimization. University of Toronto, Operations Research Group Seminar, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 26. (2013). Jordan Algebraic undertones in optimization: from self-concordant barriers to sums-of-squares relaxations in convex algebraic geometry. Jordan Theory, Analysis and Optimization Conference, Daejeon, Korea, Republic of Main Audience: Researcher Invited?: Yes, Keynote?: No 27. (2013). Lift-and-project methods: a meeting place for combinatorial optimization, semidefinite programming and convex algebraic geometry. Algorithms Combinatorics and Optimization Research Seminar, Carnegie Mellon University, Pittsburgh, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 28. (2012). An Improvised Approach to Robustness in Linear and Semidefinite Optimization. Workshop on Robust Optimization, Banff, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles 1. Au Y H, Tuncel L. (2018). Elementary polytopes with high lift-and-project ranks for strong positive semidefinite operators. Discrete Optimization. : 29 pages.

303

Professor Levent Tuncel In Press Refereed?: Yes 2. *Karimi M, *Moazeni S, Tuncel L. (2018). A utility theory based interactive approach to robustness in linear optimization. Journal of Global Optimization. : 32 pages. In Press Refereed?: Yes 3. de Carli Silva M K, Tuncel L. (2017). An axiomatic duality framework for the theta body and related convex corners. Mathematical Programming. 162: 283-322. Published Refereed?: Yes 4. Bianchi S M, Escalante S, G, Nasini L, Tuncel L. (2017). Lovasz-Schrijver SDP-operator, near-perfect graphs and near-bipartite graphs. Mathematical Programming. 162: 201-223. Published Refereed?: Yes, Open Access?: No 5. *Karimi M, *Luo S, Tuncel L. (2017). Primal-dual entropy based interior-point algorithms for linear optimization. RAIRO Operations Research. 51: 299-328. Published Refereed?: Yes 6. Nayak A, *Sikora J, Tuncel L. (2016). A search for quantum coin-flipping protocols using optimization techniques. Mathematical Programming A. 156: 581-613. Published Refereed?: Yes 7. Muramatsu M, Waki H, Tuncel L. (2016). A perturbed sums of squares theorem for polynomial optimization and its applications. Optimization Methods and Software. 31: 134-156. Published Refereed?: Yes 8. *Au Y, Tuncel L. (2016). A comprehensive analysis of polyhedral lift-and-project methods. SIAM Journal on Discrete Mathematics. 30: 411-451. Published Refereed?: Yes 9. Nesterov Y, Tuncel L. (2016). Local superlinear convergence of polynomial-time interior-point methods for hyperbolic cone optimization problems. SIAM Journal on Optimization. 26: 139-170. Published Refereed?: Yes 10. *Myklebust T, *Sharpe M, Tuncel L. (2016). Efficient heuristic algorithms for maximum utility product pricing problems. Computers and Operations Research. 69: 25-39. Published Refereed?: Yes 11. Roshchina V, Tuncel L. (2016). Facially dual complete (nice) cones and lexicographic tangents. SIAM Journal on Optimization. : 30 pages. Revision Requested Refereed?: Yes 12. *Ravi P, Tuncel L, *Huang M. (2016). Worst-case performance analysis of some approximation algorithms for minimizing makespan and flow-time. Journal of Scheduling. 19: 547-561. Published Refereed?: Yes

304

Professor Levent Tuncel 13. *Awate Y, Cornuejols G, Guenin B, Tuncel L. (2015). On the relative strength of families of intersection cuts arising from pairs of tableau constraints in mixed integer programs. Mathematical Programming A. 150: 459-489. Published Refereed?: Yes 14. *de Carli Silva M, Tuncel L. (2015). Vertices of spectrahedra arising from the elliptope, the theta body, and their relatives. SIAM Journal on Optimization. 25: 295-316. Published Refereed?: Yes 15. Bianchi S, Escalante M, Nasini G, Tuncel L. (2014). Some advances on Lovasz-Schrijver semidefinite programming relaxations for the fractional stable set polytope. Discrete Appl. Math.164: 460-469. Published Refereed?: Yes, Open Access?: No 16. Shioda R, Tuncel L, *Hui B. (2014). Applications of deterministic optimization techniques to some probabilistic choice models for product pricing using reservation prices. Pacific Journal of Optimization. 10: 767-808. Published Refereed?: Yes, Open Access?: No 17. *de Carli Silva M, Tuncel L. (2013). Optimization problems over unit distance representations of graphs. Electronic Journal of Combinatorics. 20 Published Refereed?: Yes, Open Access?: Yes 18. Kong L, Tuncel L, Xiu N. (2013). S-goodness for low-rank matrix recovery. Abstract and Applied Analysis. : 1-9. Published Refereed?: Yes, Open Access?: Yes 19. Kong L, Tuncel L, Xiu N. (2012). Existence and uniqueness of solutions for homogeneous cone complementarity problems. Journal of Optimization Theory and Applications. 153: 357-376. Published Refereed?: Yes 20. Tuncel L, Wolkowicz H. (2012). Strong duality and minimal representations for cone optimization. Computational Optimization and Applications. 53: 619-648. Published Refereed?: Yes 21. Kong L, Tuncel L, Xiu N. (2012). Monotonicity of Lowner operators and its applications to symmetric cone complementarity problems. Mathematical Programming A. 133: 327-336. Published Refereed?: Yes

Books 1. Guenin B, Konemann J, Tuncel L. (2014). A Gentle Introduction to Optimization. : 279. Published, Cambridge University Press Refereed?: Yes

Conference Publications 1. Bianchi S, Escalante M, Nasini G, Tuncel L. (2013). Lovasz-Schrijver SDP-operator and a superclass of near-perfect graphs. Electronic Notes on Discrete Mathematics. LAGOS'13—VII Latin-

305

Professor Levent Tuncel American Algorithms, Graphs and Optimization Symposium, Playa del Carmen, Mexico (339-344) Conference Date: 2013/4 Abstract Published Refereed?: Yes, Invited?: Yes

306

Professor Peter van Beek Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 1990/6 Doctorate, Computer Science, University of Waterloo - 1986/6 Master's Thesis, Computer Science, University of Waterloo - 1984/6 Bachelor's Honours, Computer Science, University of British Columbia

Recognitions 2011/5 Best Paper Award CAIAC Prize / Award Best Paper Award, Canadian Conference on AI

User Profile

Research Specialization Keywords: Artificial intelligence, constraint programming

Employment 2000/9 - 2016/12 Professor Computer Science, University of Waterloo Full-time, Professor Tenure Status: Tenure 2007/7 - 2009/6 Director of Infrastructure Computer Science, University of Waterloo Full-time, Term Tenure Status: Tenure 2002/7 - 2004/6 Director of Graduate Studies Computer Science, University of Waterloo Full-time, Term Tenure Status: Tenure 1999/7 - 2000/6 Professor Computer Science, Science, University of Alberta Full-time, Professor Tenure Status: Tenure

307

Professor Peter van Beek 1999/7 - 2000/6 Associate Chair (Undergraduate) Computer Science, University of Alberta Full-time Tenure Status: Tenure 1995/7 - 1999/6 Associate Professor Computer Science, University of Alberta Full-time, Associate Professor Tenure Status: Tenure 1996/9 - 1996/12 Visiting Professor, EPFL Computer Science, Université de Lausanne Full-time, Visiting Professorship, Professor Tenure Status: Non Tenure Track 1990/7 - 1995/6 Assistant Professor Computer Science, University of Alberta Full-time, Assistant Professor Tenure Status: Tenure Track 1986/5 - 1986/8 Instructor Computer Science, Redeemer University College Full-time, Sessional, Lecturer Tenure Status: Non Tenure Track

Research Funding History Awarded [n=2] 2016/10 - 2018/2 Accelerating multi-objective combinatorial optimization via GPUs for cyber-physical Co-applicant systems design, Grant Funding Sources: 2016/10 - 2018/2 Natural Sciences and Engineering Research Council of Canada (NSERC) Collaborative Research and Development Grant Total Funding - 151,750 Portion of Funding Received - 0 Funding Competitive?: Yes Co-applicant : Ganesh, Vijay; Rayside, Derek; Principal Investigator : Czarnecki, Krzysztof 2012/4 - 2017/3 Constraint programming for probabilistic reasoning and compiler optimization, Grant Principal Investigator Funding Sources: 2012/4 - 2017/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 140,000 Portion of Funding Received - 140,000 Funding Competitive?: Yes Completed [n=2]

308 Professor Peter van Beek 2011/5 - 2012/8 Constraint programming in the aerospace industry, Fellowship Co-applicant Funding Sources: 2011/5 - 2012/8 Mathematics of Information Technology and Complex Systems (MITACS) Elevate Strategic Fellowship (for Matthew Kitching) Total Funding - 35,000 Portion of Funding Received - 35,000 Funding Competitive?: Yes Co-applicant : Kitching, Matthew 2007/4 - 2011/3 Constraint programming: Models and algorithms, Grant Principal Investigator Funding Sources: 2007/4 - 2011/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 180,000 Portion of Funding Received - 180,000 Funding Competitive?: Yes

Under Review [n=1] 2017/4 - 2022/3 Combinatorial optimization in machine learning using constraint programming, Grant Principal Investigator Funding Sources: 2017/4 - 2022/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 360,000 Portion of Funding Received - 0 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s Honours [n=14] 2016/9 - 2016/12 Lee, Colin, University of Waterloo Principal Supervisor Thesis/Project Title: MAXSAT lower bounds for learning Bayesian networks Present Position: Undergraduate student, University of Waterloo 2016/5 - 2016/8 Senthil, Akshaya, University of Waterloo Principal Supervisor Thesis/Project Title: Machine learning for choosing the best algorithm for white balancing Present Position: Undergraduate student, University of Waterloo 2016/5 - 2016/8 Wang, Weijie, University of Waterloo Principal Supervisor Thesis/Project Title: Machine learning for choosing the best algorithm for white balancing Present Position: Undergraduate student, University of Waterloo 2016/1 - 2016/4 Pokrass, Michelle, University of Waterloo Principal Supervisor Thesis/Project Title: Rating images using machine learning Present Position: Undergraduate student, University of Waterloo 2016/1 - 2016/4 Chen, Felix, University of Waterloo Principal Supervisor Thesis/Project Title: White balancing in computational photography Present Position: Undergraduate student, University of Waterloo

309 Professor Peter van Beek 2016/1 - 2016/4 Cai, Tengyu, University of Waterloo Principal Supervisor Thesis/Project Title: White balancing in computational photography Present Position: Undergraduate student, University of Waterloo 2015/9 - 2015/12 Zhou, Wuhan, University of Waterloo Principal Supervisor Thesis/Project Title: Focus stacking in computational photography Present Position: Undergraduate student, University of Waterloo 2014/5 - 2014/8 Choudhry, Khalid, University of Waterloo Principal Supervisor Thesis/Project Title: Focus stacking in computational photography Present Position: Undergraduate student, University of Western Ontario 2014/1 - 2014/4 Choi, David, University of Waterloo Principal Supervisor Thesis/Project Title: Focus stacking in computational photography Present Position: Master's student, University of Waterloo 2013/9 - 2014/8 Pazylbekova, Aliya, University of Waterloo Principal Supervisor Thesis/Project Title: Water data analytics and focus stacking Present Position: Software Engineer, Dropbox (last sighting) 2013/9 - 2013/12 Li, Max, University of Waterloo Principal Supervisor Thesis/Project Title: Algorithms in computational photography Present Position: Software Engineer, Snapchat 2013/9 - 2014/4 Chen, Rudi, University of Waterloo Principal Supervisor Thesis/Project Title: Machine learning for focusing in computational photography Present Position: Undergraduate student, University of Waterloo 2013/1 - 2013/8 Xu, Peter, University of Waterloo Principal Supervisor Thesis/Project Title: Focus measures and algorithms in computational photography Present Position: Software Engineer, IBM (last sighting) 2013/1 - 2013/8 Mir, Hashim, University of Waterloo Principal Supervisor Thesis/Project Title: Focus measures and algorithms in computational photography Present Position: Software Engineer, Google Master’s Thesis [n=7] 2016/9 - 2018/8 Perrie, Jonathan (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Machine learning for time series data 2015/9 - 2017/8 Medina, Irish (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/8 Thesis/Project Title: Machine learning and data analytics for smart water meter data 2015/9 - 2017/8 Platsko, Valerie (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/8 Thesis/Project Title: Machine learning and data analytics for smart water meter data 2013/9 - 2017/8 Wang, Steven (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/8 Thesis/Project Title: Machine learning and data analytics for smart water meter data 2011/9 - 2014/8 Dufour, David (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Finding cost-efficient decision trees Present Position: Software Developer, Unitron Hearing

310 Professor Peter van Beek 2010/5 - 2012/8 Pisanov, Vladimir (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Novel value ordering heuristics using non-linear optimization in Boolean satisfiability Present Position: CTO, Linkett 2009/9 - 2013/4 Ruvinskiy, Ray (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Using decision tree voting to select a polyhedral model loop transformation Present Position: Software Developer, Arctic Wolf Networks

Doctorate [n=6] 2017/1 - 2021/8 Liao, Alistair (In Progress) , University of Waterloo Principal Supervisor Thesis/Project Title: Constraint programming for machine learning 2013/5 - 2014/12 Hoffmann, Hella-Franziska (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Machine learning of Bayesian networks using constraint programming Present Position: Data Scientist, Thomson Reuters 2011/9 - 2015/8 Khaki, Milad (Withdrawn) , University of Waterloo Co-Supervisor Thesis/Project Title: Machine learning and data analytics for smart water meter data Present Position: PhD student (new supervisor), University of Waterloo 2007/9 - 2013/4 Omer Beg, Mirza (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Combinatorial problems in compiler optimization Present Position: Assistant Professor, National University of Computer & Emerging Sciences 2006/9 - 2010/6 Russell, Tyrel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A computational study of problems in sports Present Position: Engineering Manager, Intel Corporation 2001/9 - 2010/4 Li, Wei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Exploiting structure in backtracking algorithms for propositional and probabilistic reasoning Present Position: Principal Research Scientist, Autodesk

Post-doctorate [n=2] 2011/5 - 2012/8 Kitching, Matthew (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Constraint programming in the aerospace industry Present Position: Data Scientist, Bell Canada 2011/1 - 2011/8 Russell, Tyrel (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Constraint propagation in constraint programming Present Position: Engineering Manager, Intel Corporation

Editorial Activities 2015/1 - 2018/12 Associate Editor, Computational Intelligence, Journal 2009/1 - 2016/12 Associate Editor, Artificial Intelligence, Journal 2010/5 - 2016/4 Associated Editor, ACM Trans. on Intelligent Systems and Technology (ACM TIST), Journal 2010/9 - 2015/8 Advisory Board Member, Constraints, Journal

311 Professor Peter van Beek Committee Memberships 2010/1 - 2016/12 Committee Member, International Symposium on Artificial Intelligence and Mathematics, International conference series Program committee member in ISAIM-2010. 2010/1 - 2016/12 Committee Member, European Conference on Artificial Intelligence (ECAI), International conference series Program committee member for ECAI-2010 and ECAI 2012. 2010/1 - 2016/12 Committee Member, Conference of the Association for the Advancement of Artificial Intelligence (AAAI), International conference series Senior program committee member for AAAI-2010, AAAI-2012, AAAI-2013, and AAAI- 2015. 2010/1 - 2016/12 Committee Member, International Joint Conference on Artificial Intelligence (IJCAI), International conference series Area chair for IJCAI-2015, senior program committee member for IJCAI-2011 and IJCAI- 2013. 2010/1 - 2016/12 Committee Member, International Conference on Principles and Practice of Constraint Programming (CP), International conference series Program committee member for CP-2010, CP-2011, CP-2013, and CP-2015. 2010/1 - 2016/12 Committee Member, Canadian Conference on Artificial Intelligence (AI), Canadian conference series Program co-chair for AI-2014, program committee member for AI-2010, AI-2011, AI- 2012, AI-2013, AI-2015, and AI-2016. 2012/1 - 2013/12 Committee Member, Artificial Intelligence Awards Committee, Selection of classic and prominent paper awards Committee member for 2012 and 2013. 2010/1 - 2013/12 Committee Member, CAIAC Dissertation Award Committee, Selection of best AI PhD thesis Committee member for 2010, 2012, and 2013

Other Memberships 2012/9 - 2014/8 Chair, Academic Freedom and Tenure Committee, University of Waterloo 2008/5 - 2011/4 Member of the Senate, University of Waterloo 2007/5 - 2010/4 Member of the Senate, Redeemer University College

Presentations 1. (2015). Machine learning of Bayesian networks using constraint programming. 21st International Conference on Principles and Practice of Constraint Programming (CP), Cork, Ireland Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2014). Constraint programming in compiler optimization: Lessons learned. Uppsala University, Uppsala, Sweden Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2014). An extensive empirical evaluation of focus measures for digital photography. IS&T/SPIE Electronic Imaging: Digital Photography X, San Francisco, United States Main Audience: Researcher 312 Professor Peter van Beek Invited?: Yes, Keynote?: No 4. (2014). Constraint programming in compiler optimization: Lessons learned. KTH Royal Institute of Technology, Stockholm, Sweden Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2013). Constraint programming in compiler optimization: Lessons learned. 25th International Conference on Tools with Artificial Intelligence, Special Track on SAT and CSP Technologies, Washington, D.C, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 6. (2013). Constraint programming in compiler optimization: Lessons learned. Tenth International Conference on Integration of Artificial Intelligence and Operations Research techniques in Constraint Programming (CP-AI-OR), Yorktown, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 7. (2012). Detecting manipulation in cup and round robin sports competitions. 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2012), Athens, Greece Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2011). A constraint programming approach for instruction assignment. 15th Workshop on Interaction between Compilers and Computer Architectures (INTERACT-15), San Antonio, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2011). Exploiting structure in backtracking algorithms: A tribute to Eugene C. Freuder. FreuderfestCP2011: A Celebration of Gene Freuder’s Retirement, Perugia, Italy Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Samaneh Hosseini Semnani*, Otman A. Basir, and Peter van Beek. (2016). Constrained clustering for flocking-based tracking in maneuvering target environment. Robotics and Autonomous Systems. 83: 243- 250. Published Refereed?: Yes, Open Access?: No 2. Rudi Chen* and Peter van Beek. (2015). Improving the accuracy and low-light performance of contrastbased autofocus using supervised machine learning. Pattern Recognition Letters. 56: 30-37. Published Refereed?: Yes, Open Access?: No 3. Hashim Mir*, Peter Xu*, Rudi Chen*, and Peter van Beek. (2015). An autofocus heuristic for digital cameras based on supervised machine learning. J. of Heuristics. 21(5): 599-616. Published Refereed?: Yes, Open Access?: No

313 Professor Peter van Beek 4. Mirza Omer Beg* and Peter van Beek. (2013). A constraint programming approach for integrated spatial and temporal scheduling for clustered architectures. ACM Transactions on Embedded Computing Systems. 13(1): 14-23. Published Refereed?: Yes, Open Access?: No 5. Michael Chase*, Abid M. Malik*, Tyrel Russell*, R. Wayne Oldford, and Peter van Beek. (2012). A computational study of heuristic and exact techniques for superblock instruction scheduling. Journal of Scheduling. 15(6): 743-756. Published Refereed?: Yes, Open Access?: No 6. Wei Li*, Pascal Poupart, and Peter van Beek. (2011). Exploiting structure in weighted model counting approaches to probabilistic inference. Journal of Artificial Intelligence Research. 40: 729-765. Published Refereed?: Yes, Open Access?: Yes 7. Tyrel Russell* and Peter van Beek. (2011). A hybrid constraint programming and enumeration approach for solving NHL playoff qualification and elimination problems. European Journal of Operational Research. 218(3): 819-828. Published Refereed?: Yes, Open Access?: No

Books

1. Various. (2014). Proceedings of the 27th Canadian Conference on Artificial Intelligence. Lecture Notes in Artificial Intelligence 8346,Marina Sokolova and Peter van Beek (editors). Published, Springer Refereed?: Yes

Reports

1. David Choi*, Aliya Pazylbekova*, Wuhan Zhou*, and Peter van Beek. (2016). Adaptive Selection of Images for Focus Stacking in Digital Photography. 17. University of Waterloo

Conference Publications

1. Peter van Beek and Hella-Franziska Hoffmann*. (2015). Machine learning of Bayesian networks using constraint programming. Lecture Notes in Computer Science 9255. 21st International Conference on Principles and Practice of Constraint Programming (CP-2015), Cork, Ireland (428-444) Conference Date: 2015/9 Paper Published Refereed?: Yes, Invited?: No 2. Ray Ruvinskiy* and Peter van Beek. (2015). An improved machine learning approach for selecting a polyhedral model transformation. Lecture Notes in Artificial Intelligence 9091. 28th Canadian Conference on Artificial Intelligence (AI-2015), Halifax, Canada (100-113) Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: No 314 Professor Peter van Beek 3. Hashim Mir*, Peter Xu*, and Peter van Beek. (2014). An extensive empirical evaluation of focus measures for digital photography. Volume 9023. Proceedings of IS&T/SPIE Electronic Imaging: Digital Photography X, San Francisco, United States Conference Date: 2014/2 Paper Published Refereed?: Yes, Invited?: No 4. Tyrel Russell* and Peter van Beek. (2012). Detecting manipulation in cup and round robin sports competitions. 24th IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2012), Athens, Greece (285-290) Conference Date: 2012/11 Paper Published Refereed?: Yes, Invited?: No 5. Tyrel Russell* and Peter van Beek. (2011). An empirical study of seeding manipulations and their prevention. 22nd International Joint Conference on Artificial Intelligence (IJCAI-2011), Barcelona, Spain (350-356) Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: No 6. Zijie Li* and Peter van Beek. (2011). Finding small backdoors in SAT instances. Lecture Notes in Artificial Intelligence 6657. 24th Canadian Conference on Artificial Intelligence (AI-2011), St. John's, Canada (269- 280) Conference Date: 2011/5 Paper Published Refereed?: Yes, Invited?: No 7. Mirza Omer Beg* and Peter van Beek. (2011). A constraint programming approach for instruction assignment. Workshop on Interaction between Compilers and Computer Architectures (INTERACT-2011), San Antonio, United States Conference Date: 2011/2 Paper Published Refereed?: Yes, Invited?: No 8. Mirza Omer Beg* and Peter van Beek. (2010). A graph theoretic approach to cache-conscious placement of data for direct mapped caches. Proceedings of the ACM SIGPLAN International Symposium on Memory Management (ISMM 2010), Toronto, Canada (113-120) Conference Date: 2010/6 Paper Published Refereed?: Yes, Invited?: No

315 Dr. Stephen Andrew Vavasis Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 1989/4 Doctorate, Computer Science, Stanford University Supervisors: Christos Papadimitriou, 1985/1 - 1989/4 - 1985/6 Master's non-Thesis, Mathematics, University of Cambridge - 1984/6 Bachelor's, Mathematics, Princeton University

User Profile

Research Specialization Keywords: Optimization, Data science, Scientific computing

Employment 2006/9 Professor Combinatorics and Optimization, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure University Research Chair: 2006-2013 Associate Dean: 2017- 2001/7 - 2007/9 Professor Computer Science, Computing and Information Science, Cornell University Full-time, Professor Tenure Status: Tenure On leave, September 2006 to September 2007 1995/7 - 2001/7 Associate Professor Computer Science, Computing and Information Science, Cornell University Full-time, Associate Professor Tenure Status: Tenure 1989/1 - 1995/7 Assistant Professor Computer Science, Computing and Information Science, Cornell University Full-time, Assistant Professor Tenure Status: Tenure Track

Research Funding History

Awarded [n=1] 2013/9 - 2018/8 Theory and Applications of Nonnegative Matrix Factorization, Grant Principal Investigator 316

Dr. Stephen Vavasis Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 150,000 Portion of Funding Received - 100 Funding Competitive?: Yes

Completed [n=1] 2012/9 - 2015/8 Convex Relaxation for Hard Problems in Data Mining and Sensor Localization, Grant Principal Investigator Funding Sources: Air Force Office of Scientific Research (Washington, DC) Total Funding - 480,000 Portion of Funding Received - 50 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s Honours [n=6] 2017/9 - 2018/5 Name withheld (no consent form on file for provincial government use) (In Progress) , Principal Supervisor University of Waterloo Student Degree Expected Date: 2018/5 Thesis/Project Title: Optimization models for influential nodes in networks Present Position: undergraduate student, University of Waterloo 2017/5 - 2018/5 Name withheld (no consent form on file for provincial government use) (In Progress) , Principal Supervisor University of Waterloo Student Degree Expected Date: 2018/5 Thesis/Project Title: Analysis of an optimization method for missing data in support vector machine training Present Position: undergraduate student, University of Waterloo 2016/9 - 2017/6 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: Convex models for word vector representation Present Position: Masters student, Carnegie Mellon University 2015/9 - 2016/1 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: Readings in convex optimization Present Position: PhD student, Carnegie Mellon University 2015/7 - 2016/5 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: Analysis of alternating methods for nonnegative matrix factorization Present Position: PhD student, Cornell University 2012/5 - 2012/9 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: Analysis of influence in social networks Present Position: Masters student, University of Waterloo

317

Dr. Stephen Vavasis Master’s non-Thesis [n=1] 2016/9 - 2017/8 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: Experiments with scalable gradient-based hyperparameter optimization for deep neural networks Present Position: Research Staff, DarwinAI

Master’s Thesis [n=2] 2017/9 - 2019/1 Name withheld (no consent form on file for provincial government use) (In Progress) , Principal Supervisor University of Waterloo Student Degree Expected Date: 2019/1 Thesis/Project Title: Stochastic gradient descent for nonnegative matrix factorization Present Position: Masters student, University of Waterloo 2016/8 - 2017/9 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: A quadratic programming approach to find faces in robust nonnegative matrix factorization Present Position: PhD student, Columbia University

Doctorate [n=2] 2016/9 - 2020/6 Name withheld (no consent form on file for provincial government use) (In Progress) , Principal Supervisor University of Waterloo Student Degree Expected Date: 2020/6 Thesis/Project Title: Sparse matrix methods for convex optimization with applications to machine learning Present Position: PhD student, University of Waterloo 2008/9 - 2014/1 Name withheld (no consent form on file for provincial government use) (Completed) , Principal Supervisor University of Waterloo Thesis/Project Title: On the Relationship between Conjugate Gradient and Optimal FirstOrder Methods for Convex Optimization Present Position: Research Staff, Amazon

Post-doctorate [n=4] 2014/7 - 2015/7 Name withheld (no consent form on file for provincial government use) (Completed) , Co- Supervisor University of Waterloo Thesis/Project Title: Convex relaxation for hard problems in data mining and sensor network localization Present Position: Assistant Professor, Rensselaer Polytechnic Institute 2013/7 - 2014/7 Name withheld (no consent form on file for provincial government use) (Completed) , Co- Supervisor University of Waterloo Thesis/Project Title: Convex relaxation for hard problems in data mining and sensor localization Present Position: Assistant Professor, University of Washington

318

Dr. Stephen Vavasis 2011/9 - 2012/8 Name withheld (no consent form on file for provincial government use) (Completed) Co-Supervisor , University of Waterloo Thesis/Project Title: Convex relaxation for hard problems in data mining and sensor localization Present Position: Associate Professor, University of Mons 2011/7 - 2013/7 Name withheld (no consent form on file for provincial government use) (Completed) Co-Supervisor , University of Waterloo Thesis/Project Title: Convex relaxation for hard problems in data mining and sensor localization Present Position: Assistant Professor, Hong Kong Polytechnic University

Event Administration 2017/9 - 2018/9 Organizing committee, Fields Workshop on Statistical Inference, Learning and Models for Data Science, Workshop, 2018/9 - 2018/9 2017/10 - 2018/7 Organizer, minisymposium, International Symposium on Mathematical Programming, Conference, 2018/7 - 2018/7 2016/9 - 2017/5 Organizer, minisymposium, SIAM Conference on Optimization, Conference, 2017/5 2017/5 2015/1 - 2015/7 Co-organizer, 2 sessions, International Symposium on Mathematical Programming, Conference, 2015/7 - 2015/7 2014/9 - 2015/2 Program committee chair, Fields Workshop on Optimization and Matrix Methods for Big Data, Workshop, 2015/2 - 2015/2 2014/1 - 2014/5 Organizer, minisymposium, SIAM Conference on Optimization, Conference, 2014/5 2014/5 2012/1 - 2012/7 Organizer, 2 minisymposia, International Symposium on Mathematical Programming, Conference, 2012/7 - 2012/7 2010/9 - 2011/5 Conference Co-organizer, SIAM Conference on Optimization, Conference, 2011/5 2011/5

Committee Memberships 2011/1 - 2020/7 Committee Member, Householder Prize Selection Committee, Householder Committee Read approx 20 PhD theses per prize 2014/1 - 2017/12 Committee Member, Gene Golub SIAM Summer School Selection Committee, SIAM

Publications

Journal Articles

1. Gillis N*, Vavasis S. (2018). On the complexity of robust PCA and l1-norm low-rank matrix approximation. Mathematics of Operations Research. Accepted Refereed?: Yes 2. Karimi S*, Vavasis S. (2017). A single potential governing convergence of conjugate gradient, accelerated gradient and geometric descent. SIAM J. Optim. Submitted Refereed?: Yes

319

Dr. Stephen Vavasis 3. Karimi S*, Vavasis S. (2017). IMRO: A Proximal Quasi-Newton Method for Solving l1-Regularized Least Squares Problems. SIAM J. Optimization. 27(2): 585-615. Published Refereed?: Yes, Open Access?: No 4. Doan XV*, Vavasis S. (2016). Finding the Largest Low-Rank Clusters With Ky Fan 2-k-Norm and l1-Norm. SIAM J. Optim.26(1): 274-312. Published Refereed?: Yes, Open Access?: No 5. Gillis N*,Vavasis S. (2015). Semidefinite programming based preconditioning for more robust nearseparable nonnegative matrix factorization. SIAM J. Optimiz.25: 677-698. Published Refereed?: Yes, Open Access?: No 6. Drusvyatskiy D*, Vavasis S, Wolkowicz H. (2015). Extreme point inequalities and geometry of the rank sparsity ball. Math. Progr.152: 521-544. Published Refereed?: Yes, Open Access?: No 7. Ames BP*, Vavasis S. (2014). Convex optimization for the planted k-disjoint-clique problem. Math. Progr.143(1-2): 299-337. Published Refereed?: Yes, Open Access?: No 8. Sastry SP*,Shontz S,Vavasis S. (2014). A log-barrier method for mesh quality improvement and untangling. Engineering with Computers. 30(3): 315-329. Published Refereed?: Yes, Open Access?: No 9. Gillis N*,Vavasis S. (2014). Fast and Robust Recursive Algorithms for Separable Nonnegative Matrix Factorization. IEEE Trans. Pattern Match. Mach. Intell.36(4): 698-714. Published Refereed?: Yes, Open Access?: No 10. Doan XV*,Toh KC,Vavasis S. (2013). A Proximal Point Algorithm for Sequential Feature Extraction Applications. SIAM J. Sci. Comput.35(1): A517-A540. Published Refereed?: Yes, Open Access?: No 11. Doan XV*,Vavasis S. (2013). Finding Approximately Rank-One Submatrices with the Nuclear Norm and l1Norm. SIAM J. Optim.23(4): 2502-2540. Published Refereed?: Yes, Open Access?: No

320 Professor Justin Wan

Professor Justin Wan Cheriton School of Computer Science

Language Skills Language Read Write Speak Understand Peer Review Cantonese Yes Yes Yes Yes Yes English Yes Yes Yes Yes Yes French No No No No No

Degrees - 1998/6 Doctorate, Applied Mathematics, University of California, Los Angeles Supervisors: Tony F. Chan, 1993/9 - 1998/6 - 1995/3 Master's non-Thesis, Applied Mathematics, University of California, Los Angeles Supervisors: Tony F. Chan, 1993/9 - 1993/3 - 1992/6 Bachelor's, Mathematics, Chinese University, Hong Kong

Recognitions 2008/1 - 2016/2 Canada Research Chair in Scientific Computing - 1,000,000 Natural Sciences and Engineering Research Council of Canada (NSERC) Honor The Canada Research Chairs program is a federal strategy to make Canada one of the world's leading countries in research and development. It aims to attract and retain some of the world's most accomplished and promising minds. Chairholders are recognized of their research excellence in engineering and the natural sciences, health sciences, humanities, and social sciences. Their research work will advance knowledge and ultimately the quality of life, strengthen Canada's international competitiveness, and help train the next generation of highly skilled people through student supervision, teaching, and the coordination of other researchers' work.

User Profile

Research Specialization Keywords: computational finance, medical image processing, multigrid methods, numerical linear algebra, numerical PDEs, parallel computing, physics-based animation Research Disciplines: Computer Science Areas of Research: Modelization and Simulation, Numerical Analysis Fields of Application: Biomedical Aspects of Human Health, Economic Policies

Employment 2006/4 Associate Professor Computer Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure

321 Professor Justin Wan 2001/1 - 2006/3 Assistant Professor Computer Science, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 1998/9 - 2000/12 Forsythe Fellow Computer Science, Stanford University Full-time Tenure Status: Non Tenure Track 1993/9 - 1998/8 Research Assistant Mathematics, University of California, Los Angeles Full-time Tenure Status: Non Tenure Track 1995/6 - 1995/8 Givens Research Associates Math and Computer Science, Argonne National Laboratory Research Funding History

Awarded [n=4] 2011/3 - 2016/2 Canada Research Chair in Scientific Computing, Research Chair Principal Investigator Funding Sources: 2011/3 - 2016/2 Natural Sciences and Engineering Research Council of Canada (NSERC) Canada Research Chair Total Funding - 500,000 Portion of Funding Received - 400,000 Funding Competitive?: Yes

2010/4 - 2015/3 Numerical Models and Methods for Cell Image Analysis, Grant Principal Investigator Funding Sources: 2010/4 - 2015/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant Total Funding - 125,000 Portion of Funding Received - 125,000 Funding Competitive?: Yes

2010/4 - 2014/12 Research Infrastructure for Scientific Computing and Visualization, Grant Principal Investigator Funding Sources: 2010/4 - 2014/12 Canada Foundation for Innovation (CFI) CRC-CFI Total Funding - 94,295 Portion of Funding Received - 94,295 Funding Competitive?: Yes

2010/4 - 2014/12 Research Infrastructure for Scientific Computing and Visualization, Grant Principal Investigator Funding Sources: 2010/4 - 2014/12 Ontario Ministry of Research and Innovation (ON) Total Funding - 94,295

322 Professor Justin Wan Portion of Funding Received - 94,295 Funding Competitive?: Yes

Completed [n=4] 2006/3 - 2011/2 Canada Research Chair in Scientific Computing, Research Chair Principal Investigator Funding Sources: 2006/3 - 2011/2 Natural Sciences and Engineering Research Council of Canada (NSERC) Canada Research Chair Total Funding - 500,000 Portion of Funding Received - 500,000 Funding Competitive?: Yes

2005/4 - 2010/3 Numerical Framework for Simulating Biological Tissue Growth, Grant Principal Investigator Funding Sources: 2005/4 - 2010/3 Natural Sciences and Engineering Research Council of Canada (NSERC) Individual grant Total Funding - 115,000 Portion of Funding Received - 115,000 Funding Competitive?: Yes Principal Investigator : 2007/3 - 2008/2 Resources for Scientific Computing and Visualization, Grant Principal Investigator Funding Sources: 2007/3 - 2008/2 Ontario Research Fund (ORF) Total Funding - 132,274 Portion of Funding Received - 132,274 Funding Competitive?: Yes Principal Investigator : 2007/3 - 2008/2 Resources for Scientific Computing and Visualization, Grant Principal Investigator Funding Sources: 2007/3 - 2008/2 Canada Foundation for Innovation (CFI) Total Funding - 132,274 Portion of Funding Received - 132,274 Funding Competitive?: Yes Principal Investigator :

Student/Postdoctoral Supervision 2014/9 - 2018/8 Wang, Luyu, Doctorate (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Numerical Algorithms for Big Data 2014/9 - 2015/8 AbdolahNezhad, Hojat, Master's Thesis (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2015/8 Thesis/Project Title: Efficient Algorithms for Unsupervised Data Mining

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Professor Justin Wan 2014/5 - 2015/8 Dimock, Ian, Master's Thesis (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2015/8 Thesis/Project Title: Scalable Solvers for Image Denoising and Deblurring Problems 2013/9 - 2014/8 Fattori, Michael, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Level Set and Sharp Interface Approach for Simulating Incompressible Two-Phase Flow 2013/9 - 2014/9 Lin, Jessey, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Wide Stencil Numerical Method for Monge-Ampere Equation

2013/9 - 2014/8 Chen, Yuehuan, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Unsupervised Brightfield Image Segmentation with robust PCA and Spectral Clustering 2013/9 - 2014/8 Tan, Peipei, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multigrid Method for Bertrand Oligopoly Problems Modelled by Mean Field Games 2013/1 - 2013/4 Yu, Yi, Bachelor's Honours (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Numerical Solution of the Benard Instability Problem arising from Atmospheric Modelling 2012/9 - 2013/8 Wu, Chunxiao, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multigrid Methods for Obstacle Problems 2011/9 - 2012/8 Zhao, Yuwei, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Numerical Study of Instability arising from the Benard Problem 2011/9 - 2013/1 Hang, Su, Master's Thesis (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Fourier Time-stepping Method in Various Exponential Levy Models 2011/9 - 2012/8 Leung, Nat, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Minimal Curvature Variation Flow in Image Inpainting 2011/9 - 2012/8 Kang, Soo Min, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Automated Segmentation of Brightfield Images using the Bhattacharyya Measure 2010/9 - 2011/8 Hariri, Maia, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Reconstruction of Incomplete Cell Paths through 3-Dimensional Segmentation 2010/9 - 2011/8 Soin, Ashmeen, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multigrid Method for Elliptic Monge-Ampere Equations 2010/9 - 2012/12 Schmieder, Anthony, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Image Inpainting based on Gaussian Curvature 2010/5 - 2010/8 Eastwood, Shawn, Bachelor's Honours (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Finding Off-Diagonal Entries of the Inverse of a Large Sparse Matrix 2010/5 - 2015/4 Amarala, Swathi, Doctorate (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2015/4 Thesis/Project Title: Multigrid Methods for Systems of Nonlinear PDEs with Applications in Finance 2009/9 - 2010/6 Sun, Xiaolu, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multimodal Image Registration Using GPU Parallel Computing Technology

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Professor Justin Wan 2009/9 - 2011/8 Han, Dong, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multigrid Methods for Hamilton-Jacobi-Bellman Equations 2008/9 - 2012/9 Tse, Shu-Tong, Doctorate (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Numerical Methods for Optimal Trade Execution 2008/9 - 2009/8 Bradbury, Laura, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Segmentation of Bright-Field Cell Images 2008/5 - 2010/4 Bian, Tiantian, Doctorate (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Continuous Models for Image Registration 2008/1 - 2008/4 Bradbury, Laura, Bachelor's Honours (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: A Combined Watershed and Level Set Method for Segmentation of Brightfield Cell Images 2008/1 - 2010/2 Safri, Murtaza, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Multiple Object Tracking with Occlusion Handling 2006/9 - 2008/8 Xu, Lin, Master's Thesis (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Numerical Study of Intensity-Based Rigid Image Registration

Event Administration 2014-09-01 - Co-organizer, 2nd Canadian Symposium in Numerical Analysis and Scientific 2015-06-12 Computing, Conference, 2015-06-07 - 2015-06-12 2014-02-13 - Program Committee Member, Second International Conference on Physiological 2015-02-13 Computing Systems, Conference, 2015-02-11 - 2015-02-13 2014-01-15 - Program Committee Member, Eighth International Conference on Health Informatics, 2015-01- 1 15 Conference, 2015-01-12 - 2015-01-15 2013-03-06 - Program Committee Member, Seventh International Conference on Health Informatics, 2014- 03-06 03-06 Conference, 2014-03-03 - 2014-03-06 2013-01-09 - Program Committee Member, First International Conference on Physiological 2014-01-09 Computing Systems, Conference, 2014-01-07 - 2014-01-09 2012-05-01 - Co-organizer, Workshop Celebrating 40 Years of Nested Dissection, Workshop, 2013-07-23 2013-07-22 - 2013-07-23 2012-02-14 - Program Committee Member, Sixth International Conference on Health Informatics, 2013-02- 14 14 Conference, 2013-02-11 - 2013-02-14 2009-05-14 - Co-organizer, Southern Ontario Numerical Analysis Day (SONAD), Workshop, 2010-05-14

Editorial Activities 2009/1 - 2019/12 Associate Editor, Journal of Numerical Linear Algebra with Applications, Journal 2012/1 - 2013/12 Guest Associate Editor, SIAM Computational Science and Engineering, Journal

Knowledge and Technology Translation 2013/11 - 2014/12 Consultant, Consulting for Industry Group/Organization/Business Serviced: Aquanty Target Stakeholder: Industry/Business-Small (<100 employees) Outcome / Deliverable: The consulting activities are to develop efficient parallel algorithms for large scale subsurface flow simulations. The algorithms will be implemented on multi-core computing platforms that will be used by Aquanty, one of a few Canadian companies in this area, to produce fast and accurate simulation results. 325

Professor Justin Wan Committee Memberships 2007/1 - 2015/12 Committee Member, Liaison Committee, Canadian Applied and Industrial Mathematics Society

Presentations 1. (2014). Multigrid Method for Solving Systems of HJB Equations Arising from Option Pricing and Dynamic Bertrand Oligopolies. Annual Meeting of the Canadian Applied and Industrial Mathematics Society (CAIMS), Saskatoon, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2014). As-Killing-as-possible Image Registration for Tracking of Living Cells from Fluorescent Microscopy. SIAM Conference on Imaging Science, Hong Kong, Hong Kong Main Audience: Researcher Invited?: No, Keynote?: No 3. (2014). Multigrid Method for Nonrigid Image Registration Based on the Optimal Mass Transport. Workshop on Structured Preconditioning and Iterative Methods with Applications, Sanya, China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 4. (2013). Multigrid Methods for Solving HJB/HJBI Equations Arising from Pricing American Option Under Regime Switching. 19th IMACS World Congress, San Lorenzo de El Escorial, Spain Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2013). Reconstruction of Missing Cells by a Killing Energy Minimizing Nonrigid Image Registration. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Osaka, Japan Main Audience: Researcher Invited?: No, Keynote?: No 6. (2013). Multigrid Methods for Systems of Hamilton-Jacobi-Bellman and Isaacs Equations Arising from Nonlinear Option Pricing Problems. International Conference on Preconditioning Techniques for Scientific and Industrial Applications, Oxford, United Kingdom Main Audience: Researcher Invited?: No, Keynote?: No 7. (2013). Multigrid Method for Solving Elliptic Monge-Ampere Equations Arising from Image Registration. Annual Meeting of the Canadian Applied and Industrial Mathematics Society (CAIMS), Quebec City, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2013). Multigrid Methods for Solving Linear and Nonlinear Problems in Finance. Multilevel Computational Methods and Optimization, Tel Aviv, Israel Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2012). Multigrid Methods for Solving Hamilton-Jacobi-Bellman and Isaacs Equations Arising from Stochastic Optimal Control Problems. European Multigrid Conference, Schwetzingen, Germany Main Audience: Researcher Invited?: No, Keynote?: No

326 Professor Justin Wan 10. (2012). Reconstruction of Incomplete Cell Paths through a 3D-2D Level Set Segmentation. SPIE Symposium on Medical Imaging, San Diego, United States Main Audience: Researcher Invited?: No, Keynote?: No 11. (2012). Numerical PDE Models and Methods with Applications in Finance and Image Processing. International Conference on Scientific Computing, Hong Kong, Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2011). Multigrid Methods for Solving Hamilton-Jacobi-Bellman and Issacs Equations Arising from Nonlinear Option Pricing Problems. The 15th Copper Mountain Conference on Multigrid Methods, Copper Mountain, United States Main Audience: Researcher Invited?: No, Keynote?: No 13. (2011). Multigrid Time Stepping Method for Systems of PDEs. The 20th International Conference on Domain Decomposition Conference, San Diego, United States Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. D'Alessio S.J.D., Leung N.*, Wan J.. (2014). Steady, Unsteady and Linear Stability of Differentially Heated Flow from a Rotating Sphere. Journal of Computational and Applied Mathematics. Submitted Refereed?: Yes, Open Access?: No 2. Leung N.*, Wan J.. (2014). Minimal Curvature Variation Flow in Image Inpainting. Inverse Problems and Imaging. Revision Requested Refereed?: Yes, Open Access?: No 3. Amarala S., Wan J.. (2014). Numerical Methods for Dynamic Bertrand Oligopoly and American Options under Regime Switching. Applied Mathematical Finance. Submitted Refereed?: Yes, Open Access?: No 4. Wu C.*, Wan J.. (2014). Multigrid Methods with Newton-Gauss-Seidel Smoothing and Constraint Preserving Interpolation for Solving Obstacle Problems Formulated as HJB Equations. Numerical Mathematics: Theory, Methods and Applications. Accepted Refereed?: Yes, Open Access?: No 5. Wan J.. (2014). Multigrid Method for Pricing European Option under the CGMY Process. Journal of Computational Finance. Revision Requested Refereed?: Yes, Open Access?: No 6. Han D.*, Wan J.. (2013). Multigrid Methods for Second Order Hamilton-Jacobi-Bellman and HamiltonJacobi-Bellman-Isaacs Equations. SIAM J. Sci. Comput.. 35(5): 323-344. Published Refereed?: Yes, Open Access?: No

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Professor Justin Wan 7. Xu L.*, Wan J., Bian T.*. (2013). A Continuous Method for Reducing Interpolation Artifacts in Mutual Information based Rigid Image Registration. IEEE Transactions on Image Processing. 22(8): 2995- 3007. Published Refereed?: Yes, Open Access?: No 8. Amarala S.*, Wan J.. (2013). Multigrid Methods for Systems of Hyperbolic Conservation Laws. SIAM Journal on Multiscale Modeling and Simulation. 11(2): 586-614. Published Refereed?: Yes, Open Access?: No 9. Tse S.*, Wan J.. (2013). Low-bias Simulation Scheme for the Heston Model by Inverse Gaussian Approximation. Quantitative Finance. 13(6): 919-937. Published Refereed?: Yes, Open Access?: No 10. Eastwood S.*, Wan J.. (2013). Finding Off-diagonal Entries of the Inverse of a Large Sparse Matrix. Numerical Linear Algebra with Applications. 20(1): 74-92. Published Refereed?: Yes, Open Access?: No 11. Yi Z.*, Wan J.. (2011). An Inviscid Model For Nonrigid Image Registration. Journal of Inverse Problems and Imaging. 5(1): 263-284. Published Refereed?: Yes, Open Access?: No Book Chapters

1. Wan J.. (2010). Conjugate Gradient Methods in Option Pricing. Cont R.. The Encyclopedia of Quantitative Finance. 1(1): 324-327. Published, John Wiley Refereed?: Yes

Conference Publications

1. Chen Y.*, Wan J.. (2014). Unsupervised Brightfield Image Segmentation with robust PCA and Spectral Clustering. Proceedings of SPIE Symposium on Medical Imaging: Image Processing. SPIE Symposium on Medical Imaging: Image Processing, Orlando, United States, 2015-02-21 Paper Submitted Refereed?: Yes, Invited?: No 2. Leung N.*, D'Alessio S., Wan J.. (2014). Differentially Heated Flow from a Rotating Sphere. Advances in Fluid Mechanics X. Tenth International Conference on Advances in Fluid Mechanics, A Coruna, Spain, 2014-07-01 Paper Published Refereed?: Yes, Invited?: No 3. Chan K.*, Wan J.. (2013). Reconstruction of Missing Cells by a Killing Energy Minimizing Nonrigid Image Registration. Proceedings of the 35th Annual International Conference of the IEEE EMBS. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC13), Osaka, Japan, 2013-07-03 Paper Published Refereed?: Yes, Invited?: No

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Professor Justin Wan 4. Leung N.*, D'Alessio S., Wan J.. (2013). Stress Free Flow over a Differentially Heated Rotating Sphere. Proceedings of the 24th Canadian Congress of Applied Mechanics. 24th Canadian Congress of Applied Mechanics (CANCAM), Saskatoon, Saskatoon, Canada, 2013-06-02 Paper Published Refereed?: Yes, Invited?: No 5. Kang S.*, Wan J.. (2013). A Multiscale Graph Cut Approach to Bright-field Multiple Cell Image Segmentation using a Bhattacharya Measure. Proceedings of SPIE Symposium on Medical Imaging: Image Processing. SPIE Symposium on Medical Imaging: Image Processing, Orlando, United States, 2013-02-09 Paper Published Refereed?: Yes, Invited?: No 6. Leung N.*, Wan J.. (2012). Reconstruction of Missing Cells in Fluorescent Microscopy. Proceedings of the 34th Annual International Conference of the IEEE EMBS. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC12), San Diego, United States, 2012-08- 28 Paper Published Refereed?: Yes, Invited?: No 7. Hariri M.*, Wan J.. (2012). Reconstruction of Incomplete Cell Paths through a 3D-2D Level Set Segmentation. Proceedings of SPIE Symposium on Medical Imaging: Image Processing. SPIE Symposium on Medical Imaging: Image Processing, San Diego, United States, 2012-02-04 Paper Published Refereed?: Yes, Invited?: No

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Dr. Henry Wolkowicz Department of Combinatorics and Optimization

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes No Yes Yes No

Degrees - 1978/6 Doctorate, Mathematics, McGill University Supervisors: Sanjo Zlobec, 1972/9 - 1978/6 - 1975/6 Master's Thesis, Mathematics, McGill University - 1972/6 Bachelor's, Science, McGill University

Recognitions 2018/1 SIAM (Society for Industrial and Applied Mathematics) nomination to board SIAM Distinction board nomination 2015/3 SIAM (Society for Industrial and Applied Mathematics) Fellow SIAM Honor "SIAM designates as Fellows of the Society certain members who have made outstanding contributions to fields served by SIAM and the communities we represent." 2015/1 - 2018/1 ILAS (International Linear Algebra Society) elected to board ILAS Distinction Elected Board member

User Profile

Research Specialization Keywords: continuous optimization, hard numerical problems, semidefinite and cone optimization, numerical linear algebra, low rank matrix completions, Euclidean distance matrices, sensor network localization, trust region subproblems, SDP relaxations of QAP, GP, QKP (hard discrete), quadratic-quadratic programming, SDP relaxations for molecular conformation

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Dr. Henry Wolkowicz Employment 1986/7 Professor of Mathematics Combinatorics and Optimization, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure Research/Teaching/Service 1980/7 - 2016/7 Consultant various private sector companies for consulting Five different consultant jobs involving various firms from private industry: financial firm; bus company; pharmaceutical; other transit companies 1999/5 - 1999/8 summer research visitor Laboratoire Approximation & Optimization, Universite Paul Sabatier, Toulouse Full-time, Visiting Professorship, Professor Tenure Status: Non Tenure Track summer research visitor 1992/7 - 1993/7 sabbatical visitor Civil Engineering, Princeton University Full-time, Visiting Professorship, Professor Tenure Status: Non Tenure Track visiting research professor during sabbatical leave 1985/7 - 1986/7 Associate Professor Mathematical Sciences, University of Delaware Full-time, Associate Professor Tenure Status: Tenure Track Tenure track position while on leave from University of Alberta 1980/7 - 1986/7 Associate Professor Mathematics, University of Alberta Full-time, Associate Professor Tenure Status: Tenure Research/Teaching/Service 1984/7 - 1985/7 visiting Professor Mathematics and Computer Science, Emory University Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track visiting research position 1982/9 - 1982/12 visiting research position Mathematics, University of Maryland Full-time, Visiting Professorship, Associate Professor Tenure Status: Non Tenure Track short 3 month visiting research position 1970/1 - 1971/1 computer graphics designer Aquila BST, graphics design Designing and coding an RCA graphics design computer for advertisements. This was one of the first computer graphics design machines in Canada.

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Dr. Henry Wolkowicz Research Funding History

Awarded [n=1] 2015/5 - 2015/5 USRA, undergraduate research award Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) USRA, Undergraduate Research Assistant Total Funding - 4,500 Portion of Funding Received - 4,500 Funding Competitive?: Yes Co-investigator : Ian Davidson

Completed [n=9] 2016/6 - 2016/6 Fields Nonlinear Programming workshop; for Andy Conn's 70th, Grant Principal Applicant Funding Sources: University Waterloo, Dept. Comb. & Opt. Workshop Funding Total Funding - 5,000 Portion of Funding Received - 5,000 Funding Competitive?: Yes 2016/6 - 2016/6 NFS and Fields Workshop Funding On Nonliear Optimization; for Andy Conn's 70th, Grant Co-applicant Funding Sources: National Science Foundation (USA) Workshop Funding Total Funding - 40,000 Portion of Funding Received - 40,000 Funding Competitive?: Yes Co-applicant : Michael Overton; Oleksandr Romanko; Tamas Terlaky 2012/5 - 2015/5 AFOSR with Steve Vavasis, Grant Co-applicant Funding Sources: AFOSR, Air Force office of scientific research Total Funding - 507,087 Portion of Funding Received - 507,087 Funding Competitive?: Yes Co-applicant : Steve Vavasis 2014/5 - 2014/8 USRA, undergraduate research funding scholarship, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) USRA, Undergraduate Research Assistant Total Funding - 4,500 Portion of Funding Received - 4,500 Funding Competitive?: Yes Co-investigator : Bo Liu

332 Dr. Henry Wolkowicz 2013/5 - 2013/8 USRA, undergraduate research scholarship, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) USRA, Undergraduate Research Assistant Total Funding - 4,500 Portion of Funding Received - 4,500 Funding Competitive?: Yes Co-investigator : Hao Sun 2013/5 - 2013/8 USRA, undergraduate research scholarship, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) USRA, Undergraduate Research Assistant Total Funding - 4,500 Portion of Funding Received - 4,500 Funding Competitive?: Yes Co-investigator : Bo Liu 2012/5 - 2012/8 USRA, undergraduate research scholarship, Grant Principal Applicant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) USRA, Undergraduate Research Assistant Total Funding - 4,500 Portion of Funding Received - 4,500 Funding Competitive?: Yes Co-investigator : Hao Sun 2008/5 - 2011/5 MITACS matching grant, Grant Co-applicant Funding Sources: Mathematics of Information Technology and Complex Systems (MITACS) matching grant Total Funding - 146,875 Portion of Funding Received - 146,875 Funding Competitive?: Yes Principal Investigator : Tamas Terlaky 2009/5 - 2011/5 AFOSR with Steve Vavasis, Grant Co-applicant Funding Sources: Air Forse Office of Scientific Research AFOSR Total Funding - 536,597 Portion of Funding Received - 536,597 Funding Competitive?: Yes Co-applicant : Steve Vavasis

333 Dr. Henry Wolkowicz Student/Postdoctoral Supervision

Master’s Thesis [n=7] 2016/9 - 2018/8 Im, Jiyoung (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Various aspects of robust optimization versus sensitivity analysis Present Position: Master's student, University of Waterloo 2015/9 - 2016/9 Liao, Zhenyu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: ranch and Bound via ADMM for the Quadratic Assignment Problem Present Position: PhD student in Computer Science, Computer Science, University of Waterloo

2015/9 - 2016/9 Sun, Hao (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: ADMM for SDP Relaxation of GP Present Position: PhD student, University of Waterloo 2015/9 - 2016/9 Ye, Xinghang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Low Rank Matrix Completion through Semi-definite Programmingwith Facial Reduction Present Position: Returned to China to work, Banking in China 2013/9 - 2015/7 Sumbler, Thomas (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Game Theory Present Position: Master's student, University of Western Ontario 2012/9 - 2014/5 Wang, Ningchuan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Eigenvalue, Quadratic Programming, and Semidefinite Programming Boundsfor a Cut Minimization Problem Present Position: Banking sector, unknown (in Toronto) 2009/9 - 2011/9 Heng, Jerry (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Efficient Trust Region Subproblem Algorithms Present Position: Financial industry, finance in Toronto

Doctorate [n=6] 2017/3 - 2017/8 Lubke, Daniela (In Progress) , Universidade Federal do Rio de Janeiro Co-Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Quadratic knapsack problem using ADMM and semidefinite programming Present Position: visiting PhD scholar, University of Waterloo 2015/9 - 2018/8 Sremac, Stefan (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Proposed project: Stable solutions of matrix completion problem using semidefinite programming Present Position: PhD student, University of Waterloo 2014/9 - 2015/1 Hirpa, Dessalegn (Withdrawn) , University of Waterloo Principal Supervisor Thesis/Project Title: Quadratic-quadratic programming Present Position: Returned to Ethiopia, unknown

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Dr. Henry Wolkowicz 2014/9 - 2018/8 Bo, Xiao (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Molecular conformation (this student has stopped working with me but continuing with Forbes Burkowski in Computer Science). Present Position: PhD student in Computer Science, Computer Science, University of Waterloo 2011/9 - 2014/9 Cheung, Yuen-Lam (Vris) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Sensitivity analysis of semidefinite programswithout strong duality, Present Position: Financial industry, Financial institution in Boston area 2011/9 - 2013/9 Lin, Minghua (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Angles, Majorization, Wielandt Inequality and Applications, Present Position: Assistant Professor, Dept. Math., Shanghai University Post-doctorate [n=11] 2017/3 - 2017/12 Wang, Fei (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/12 Thesis/Project Title: Robust EDM Completions Present Position: Post-doctorate, University of Waterloo 2016/1 - 2016/1 Oliveira, Danilo Elias (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Alternate direction methods for quadratic assignment problem Present Position: Professor, Faculty of Mathematics, Federal University of Uberlandia - UFU 2015/9 - 2016/7 Karimi, Sahar (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: First order methods for unconstrained minimization Present Position: private sector, Amazon, Vancouver 2014/9 - 2015/9 Xu, Yangyang (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: ADMM with facial reduction for the quadratic assignment problem Present Position: Assistant Professor, The University of Alabama 2014/1 - 2014/7 Cheung, Yuen-Lam (Vris) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stability of semidefinite programming Present Position: Consultant financial institution, Financial institution in Boston area 2013/9 - 2014/8 Drusvyatskiy, Dmitriy (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Theory and practice of optimization in matrix completion problems Present Position: Assistant Professor, University of Washington, Seattle 2013/5 - 2013/9 Lin, Minghua (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: angles between subspaces Present Position: Assistant Professor, Dept. Math., Shanghai University 2011/5 - 2013/9 Pong, Ting Kei (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: generalized trust region problems; eigenvalue bounds for graph partitioning Present Position: Assistant Professor, The Hong Kong Polytechnic Unviversity 2011/5 - 2012/5 Gillis, Nicolas (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: nonnegative matrix factorization Present Position: Associate Professor, Dept. Math, Universite de Mons, Belgium 2010/9 - 2012/1 Hinek, Jason (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Stable Linear programming codes for MAPLE Present Position: unknown, unknown

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Dr. Henry Wolkowicz 2010/7 - 2011/7 Doan, Xuan Vinh (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: A stable Gauss-Newton method for semidefinite programming Present Position: Associate Professor, Warwick Business School Research Associate [n=7] 2017/5 - 2017/8 Wei, Linchuan (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/8 Thesis/Project Title: Robust principal component analysis using low rank matrix completion with facial reduction Present Position: USRA, undergraduate research associate, University of Waterloo 2016/5 - 2016/8 Davidson, Ian (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2018/6 Thesis/Project Title: Low Rank Matrix Completion through Semi-definite Programmingwith Facial Reduction Present Position: undergraduate student, University of Waterloo 2016/5 - 2016/8 Huang, Shimeng (All But Degree) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2017/7 Thesis/Project Title: USRA: Low-rank matrix completion using nuclear norm with facial reduction Present Position: Starting Master's Degree in Fall, 2017, University of Waterloo 2014/5 - 2014/8 Liu, Bo (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Geometry of low rank matrix space Present Position: unknown, unknown 2013/5 - 2013/8 Sun, Hao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Branch and bound methods for graph partitioning Present Position: PhD student, University of Waterloo 2012/5 - 2012/8 Sun, Hao (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Eigenvalue bounds for special graph partitioning problems Present Position: PhD student, University of Waterloo 2011/5 - 2011/8 Qian, Jiawei (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Sensor network localization, Euclidean distance matrix completions, andgraph realization Present Position: graduate student, Cornell University

Event Administration 2016/9 - 2017/7 Program Committee, EUROPT 2017 program committee, Conference, 2017/7 - 2017/7 2016/9 - 2017/7 session organizer, EUROPT 2017, Conference, 2017/7 - 2017/7 2016/1 - 2017/6 organizer, Fields workshop on convex optimization, Workshop, 2017/6 - 2017/6 2016/8 - 2016/12 session organizer, CMS winter meeting, Niagara Fall, Dec. 2016., Conference, 2016/12 2016/12 2016/1 - 2016/7 workshop organizer and Tutorial speaker, DIMACS workshop on distance geometry, July, 2016., Workshop, 2016/7 - 2016/7 2014/9 - 2016/6 organizer, Fields workshop on nonlinear programming (for Andy Conn's 70th), Workshop, 2016/6 - 2016/6

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Dr. Henry Wolkowicz 2015/1 - 2016/3 Program Committee, Optimization and Learning: New Problems, New Challenges, INFORMS, IOS, at Princeton Univ., Thursday - Saturday, March 17-19, 2016., Conference, 2016/3 - 2016/3 2011/1 - 2011/9 organizer, Midwest Optimization Conference, Fields, Toronto, Oct 14-15, 2011, Conference, 2011/10 - 2011/10 2010/5 - 2011/4 organizer, Computational and Analytical Mathematics, in honour of Jonathan Borwein's 60th Birthday, May 16--20, 2011, Conference, 2011/5 - 2011/5

Editorial Activities 2015/1 - 2025/1 Associate Editor, Mathematics of Operations Research, Journal 2014/1 - 2025/1 Editorial Board, Mathematical Programming Glossary, Book 2008/1 - 2025/1 Associate Editor, SIAM Journal of Optimization, Journal 2005/1 - 2025/1 Associate Editor, Journal of Global Optimization, Journal 2005/1 - 2025/1 Associate Editor, Journal of Computational Optimization and Applications, Journal 2005/1 - 2025/1 Associate Editor, Optimization and Engineering, Journal 2000/1 - 2025/1 Associate Editor, Canadian Applied Mathematics Quarterly, CAMQ, Journal 2000/1 - 2025/1 Associate Editor, Journal of Combinatorial Optimization, Journal 2000/1 - 2025/1 Advisory Board, Encyclopedia of Optimization II, Springer, Book 1990/1 - 2025/1 Associate Editor, American Journal of Mathematical and Management Sciences, Journal 2011/1 - 2017/9 Reviewer, I am consulted on average once per year to review outlines of books and to recommend publication of books. This is for major publication names, e.g. Elsevier, Springer, CMS., Book

Expert Witness Activities 2012/3 - 2012/3 Reviewer NSF grants, review of approximately 30 NSF grants, United States, Arlington, VA several day meeting to read/review/decide on grants for NSF

Organizational Review Activities 2017/1 - 2017/1 reviewer, Natural Sciences and Engineering Research Council of Canada (NSERC) reviewing NSERC grant applications - I regularly do this each year. 2015/9 - 2015/9 reviewer, University of San Diego review of promotion/tenure - I regularly do these about once a year but of course to other Universities.

Committee Memberships 2015/1 - 2025/1 Committee Member, ILAS Board, International Linear Algebra Society ILAS board members discuss decisions on conferences and lectureships by email and meet at the annual meetings. 2002/1 - 2011/1 Committee Member, SIAM Council, Society for Industrial and Applied Mathematics SIAM council meets at the annual meetings to make decisions on e.g. journals and conference activities.

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Dr. Henry Wolkowicz Other Memberships 2014/1 member, INFORMS I have been a member (on and off) for many years. I was also on the editorial board of the flagship journal for INFORMS.

Presentations 1. (2017). Overview of facial reduction and its applications. Invited colloquium, Hong Kong (Chinese University of HK), Hong Kong Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2017). Low-Rank Matrix Completion with Facial Reduction. The third international conference on engineering and computational mathematics (ECM2017) at HKPU, Hong Kong, China Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2017). ADMM for the SDP Relaxation of the QAP. 2017 HKBU Workshop on Optimization, Hong Kong, China Main Audience: Researcher Invited?: Yes, Keynote?: No 4. (2017). Low Rank Matrix Completions with the Nuclear Norm and Facial Reduction and memorial with Overview of career of Jon Borwein. Europt 2017 Workshop on Advances in Continuous Optimization, Polytechnique, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 5. (2017). Matrices, Eigenvalues, Traces, Optimization. The Second International Minisymposium on Magic Squares, Prime Numbers and Postage Stamps, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 6. Tamas Terlaky chair of 5 member panel.(2017). Panel Discussion Member and presenter on Advances in Convex Optimization: Frontiers and Challenges. Fields Workshop on Modern Convex Optimization, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 7. (2017). On low rank matrix completion using facial reduction. SIAM conference on optimization, Vancouver, Canada, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2017). Low-Rank Matrix Completion and Facial Reduction. Invited colloquium, Hong Kong, China Main Audience: Researcher Invited?: Yes, Keynote?: Yes 9. Daniela Lubka* and Fei Wang*. (2017). ADMM for the SDP Relaxation for the Quadratic Assignment and Quadratic Knapsack Problems, Poster Session. Integer Programming and Combinatorial Optimization, IPCO, Waterloo, Canada Main Audience: Researcher Invited?: No, Keynote?: No

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Dr. Henry Wolkowicz 10. (2016). Low-Rank Matrix Completion (LRMC) using Nuclear Norm (NN) with Facial Reduction (FR). Canadian Math. Society, CMS, Winter meeting, McMaster University, Hamilton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2016). SDP, nuclear norm, and low rank matrix completions, AND overview of Franz Rendl career.4th Alpen-Adria-Workshop on Optimization, 2016 workshop, University of Klagenfurt, Klagenfurt, Austria Main Audience: Researcher Invited?: Yes, Keynote?: Yes 12. (2016). Tutorial on Facial Reduction and its Applications to Distance Geometry Problems (90 minutes). DIMACS, DGTA15, Workshop on Distance Geometry: Theory and Applications, Rutgers University, Piscataway, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 13. (2016). Applications of Facial Reduction to Euclidean Distance Matrix Completion Problems. Applied Mathematics Spring Lecture Series- University of Western OntarioTheory and Applications of Convex and Non-Convex Feasibility Problems - Part 1 Apr 29 and Part 2 May 9. (Two plenary talks), London, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 14. (2016). Degeneracy for Cone Optimization. Continuous Optimization: Challenges and Applications, Technion University, Haifa, Israel Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2016). Facial Reduction with Applications to Sensor Network Localization. Optimization and Learning: New Problems, New Challenges, INFORMS, IOS, Princeton, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2015). Degeneracy in Cone Optimization. 2015 Joint Mathematics Meeting, MAA, AMS, SIAM, San Antonio, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2015). Handling Noisy Sensor Network Localization Using SDP and Facial Reduction. Canadian Math. Society, CMS, Summer meeting, Charlottetown, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 18. (2015). Facial Reduction for Cone Optimization with Applications to Systems of Polynomial Equations, Sensor Network Localization, and Molecular Conformation. Joint AM/DSAS colloquium at Univ. of Western Ontario, London, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 19. (2015). Matrix manifold problems subject to noisy data. The 2015 AMMCS-CAIMS Congress Interdisciplinary AMMCS Conference Series,, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

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Dr. Henry Wolkowicz 20. (2015). Efficient Semidefinite Programming (SDP) Relaxations for Quadratic Integer Programming (QIP) with Applications to Selection of Rotamers in Protein Conformations. colloquium at the Tutte seminar, Dept. Comb. and Opt., University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 21. (2015). Facial Reduction for Cone Optimization. 22nd International Syposium on Mathematical Programming, ISMP., Pittsburgh, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 22. (2015). Efficient Semidefinite Programming (SDP) Relaxations for Quadratic Integer Programming (QIP) with Applications to Selection of Rotamers in Protein Conformations. colloquium at GERAD, University of Montreal, Montreal, Canada Invited?: Yes, Keynote?: Yes 23. (2015). Facial reduction and application to side chain positioning. colloquium at Dept. of Appl. Math. at Princeton University, Princeton, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 24. (2015). Facial Reduction in Cone Optimization. colloquium in Operations Research Dept. at Princeton University, Princeton, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 25. (2015). Facial Reduction for Cone Optimization. Paths, Pivots, and Practice: The Power of Optimization, in honour of Tamas Terlaky, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 26. (2014). Coordinate Shadows of Semi-definite and Euclidean Distance Matrix Completions. The Canadian Mathematical Society (CMS), Winnipeg, Canada Main Audience: Researcher Invited?: No, Keynote?: No 27. (2014). Projection methods for quantum channel construction. Quantum Optimization Workshop,, Paris, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 28. (2014). Efficient use of semidefinite programming for selection of rotamers in protein conformations. SIAM Conference on Optimization, (OP14),, San Diego, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 29. (2014). Coordinate shadows of semi-definite and Euclidean distance matrices. CMS Winter meeting, Hamilton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 30. (2014). Coordinate Shadows of Semi-definite and Euclidean Distance Matrix Completions. Recent Advances in Linear Optimization, Paris, France Main Audience: Researcher Invited?: Yes, Keynote?: No 340

Dr. Henry Wolkowicz 31. (2014). Coordinate Shadows of Semi-definite and Euclidean Distance Matrix Completions. URSA Research Seminar, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 32. (2014). Relaxations of Graph Partitioning and Vertex Separator Problems using Continuous Optimization. Southern California Optimization Day, SCOD14, San Diego, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 33. (2014). Degeneracy in Cone Optimization. colloquium Dept of Math, University of Washingtonq, Seattle, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 34. (2014). Relaxations of Graph Partitioning and a Minimum Cut Problem using Continuous. INFORMS annual meeting, San Francisco, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 35. (2013). Taking advantage of Degeneracy and Special Structure in Linear Cone Optimization. URSA seminar, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 36. (2013). Degeneracy and regularization in convex programming. Linear algebra and optimization, in celebration of Michael Overton's 60th, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 37. (2013). Taking advantage of Degeneracy and Special Structure in Linear Cone Optimization. Canadian Operations Research Society, CORS, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 38. (2013). Taking Advantage of Degeneracy in Cone Optimization: with Applications to Sensor Network Localization. MOPTA, Lehigh, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes 39. Ting Kei Pong. (2013). Generalized Trust Region Problems. Optimization Days, Montreal, Canada Main Audience: Researcher Invited?: No, Keynote?: No 40. (2013). Taking advantage of Degeneracy and Special Structure in Linear Cone Optimization. CanaDAM 2013, St John's, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 41. Yuen-Lam (Vris) Cheung. (2013). Efficient Semidefinite Programming (SDP) Relaxations for Quadratic Integer Programming (QIP) with Applications to Selection of Rotamers in Protein Conformations. Optimization Days, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

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Dr. Henry Wolkowicz 42. Babak Alipanahi. (2012). Protein Structure by Semidefinite Facial Reduction. RECOMB 2012, Conference on Research in Computational Molecular Biology, Barcelona, Spain Main Audience: Researcher Invited?: No, Keynote?: No 43. (2012). Generating Eigenvalue Bounds. USRA research seminar, Dept. Comb & Opt., University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 44. (2012). Tutorial on Semidefinite Programming. Canadian Ooperations Research Society, CORS/MPTGP, Niagara Falls, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 45. (2012). Taking advantage of Degeneracy in Cone Optimization; Applications to Euclidean Distance Completion Problems including: Sensor Network Localization and Molecular Conformation. Colloquium Dept Math & Stats, York University, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 46. (2012). Taking advantage of Degeneracy in Cone Optimization with Applications to Sensor Network Localization and Molecular Conformation. ISMP 21, Berlin, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 47. (2012). Generating Eigenvalue Bounds. Graduate student seminar, Unviersity of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 48. (2012). Taking advantage of Degeneracy in Cone Optimization; Applications to Euclidean Distance Completion Problems including: Sensor Network Localization and Molecular Conformation. Colloquium, McMaster University, Dept. of Computing and Software, Hamilton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 49. (2011). Strong Duality and Facial Reduction in SDP: with Applications to Sensor Network Localization and Molecular Conformation. 2nd Alpen-Adria Workshop on Optimization, University of Klagenfurt, Klagenfurt, Austria Main Audience: Researcher Invited?: Yes, Keynote?: Yes 50. Yuen-Lam (Vris) Cheung*. (2011). Strong Duality and Facial Reduction in SDP: with Applications to Sensor Network Localization and Molecular Conformation. Computational and Applied Mathematics, conference in honour of Jon Borwein's 60th, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 51. (2011). Theory and Applications of Degeneracy in Cone Optimization. WCOM, West Coast Optimization Meeting, UBC Okanagan, Kelona, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes

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Dr. Henry Wolkowicz 52. (2011). A Robust Algorithm for Semidefinite Programming. SIAM Conference on Optimization, Darmstadt, Germany Main Audience: Researcher Invited?: Yes, Keynote?: No 53. (2011). Robust Algorithms for Linear and Semidefinite Programming. colloquium at GERAD, Polytechnique, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 54. (2011). Efficient Solutions for the Large Scale Trust Region Subproblem. Fields Thematic Program on Discrete Geometry and Applications, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 55. (2011). Efficient solutions of large scale trust region subproblems. Student graduate seminar, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 56. (2011). Strong Duality and Facial Reduction in SDP: with Applications to Sensor Network Localization and Molecular Conformation. Tutte seminar, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: Yes 57. (2011). Taking advantage of Degeneracy in Cone Optimization with Applications to Sensor Network Localization and Molecular Conformation. ICIAM, Vancouver, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 58. (2011). Taking advantage of Degeneracy in Cone Optimization with Applications to Sensor Network Localization and Molecular Conformation. Colloquium, Dept. of Stat & Oper. Res., The University of North Carolina, Chapel Hill., Chapel Hill, United States Main Audience: Researcher Invited?: Yes, Keynote?: Yes

Publications

Journal Articles

1. D. Drusvyatskiy* and G. Li and H. Wolkowicz. (2017). Alternating projections for ill-posed semidefinite feasibility problems. Mathematical Programming. 162(1-2): 537-548. Published Refereed?: Yes, Open Access?: Yes 2. Shimeng Huang* and Henry Wolkowicz. (2017). Low rank matrix completion using nuclear norm with facial reduction. Journal of Global Optimization. to appear: 1-23. Revision Requested Refereed?: Yes, Open Access?: No 3. D. Drusvyatskiy* and N. Krislock and Y-L Cheung Voronin and H. Wolkowicz. (2017). Noisy Euclidean distance realization: robust facial reduction and the Pareto frontier. SIAM J. Optimization. : 1-30. In Press

343 Dr. Henry Wolkowicz Refereed?: Yes, Open Access?: Yes 4. Dmitriy Drusvyatskiy* and Henry Wolkowicz. (2017). The many faces of degeneracy in conic optimization. Foundations and Trends in Optimization (invited paper). to appear: 1-97. Accepted Refereed?: No 5. Maziar Salahi and Akram Taati and Henry Wolkowicz. (2017). Local nonglobal minima for solving largescale extended trust-region subproblems. Computational Optimization and Applications. 66(2): 223- 244. Published Refereed?: Yes, Open Access?: Yes 6. G. Reid and F. Wang* and H. Wolkowicz. (2017). Finding maximum rank moment matrices by facial reduction on primal form and Douglas-Rachford iteration. Newsletter ACM Communications in Computer Algebra. 51(1): 35-37. Published Refereed?: Yes, Open Access?: Yes 7. T.K. Pong* and H. Sun* and N. Wang* and H. Wolkowicz. (2016). Eigenvalue, quadratic programming, and semidefinite programming relaxations for a cut minimization problem. Computational optimization and Applications. 63(2): 333-364. Published Refereed?: Yes, Open Access?: Yes 8. D. Drusvyatskiy* and G. Pataki and H. Wolkowicz. (2015). Coordinate shadows of semidefinite and Euclidean distance matrices. SIAM J. of Optimization. 25(2): 1160-1178. Published Refereed?: Yes, Open Access?: Yes 9. Danilo Oliveira* and Henry Wolkowicz and Yangyang Xu*. (2015). ADMM for the SDP relaxation of the QAP. Mathematical Programming Computation. : 1-12. Revision Requested Refereed?: Yes 10. M-H. Lin* and H. Wolkowicz. (2015). Hiroshima's theorem and matrix norm inequalities. Acta Sci. Math. (Szeged). 81(1-2): 45-53. Published Refereed?: Yes, Open Access?: Yes 11. D. Drusvyatskiy and S.A. Vavasis and H. Wolkowicz. (2015). Extreme point inequalities and geometry of the rank sparsity ball. Mathematical Programming. 152(1-2): 521-544. Published Refereed?: Yes, Open Access?: Yes 12. D. Drusvyatskiy* and C.-K. Li and Y.-L. Cheung Voronin* and D.C. Pelejo and H. Wolkowicz. (2015). Projection methods for quantum channel construction. Quantum Information Processing. 14(8): 3075-3096. Published Refereed?: Yes, Open Access?: Yes 13. T.K. Pong* and H. Wolkowicz. (2014). The generalized trust region subproblem. Computational Optimization and Applications. 58(2): 273-322. Published Refereed?: Yes, Open Access?: Yes

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Dr. Henry Wolkowicz 14. Yuen-Lam (Vris) Cheung* and Henry Wolkowicz. (2014). Sensitivity analysis of semidefinite programs without strong duality. submitted. : 1-37. Submitted Refereed?: Yes 15. Greg Reid and Fei Wang* and Henry Wolkowicz. (2014). Facial reduction and SDP methods for systems of polynomial equations. submitted. : 1-38. Revision Requested Refereed?: Yes 16. F. Burkowski and Y-L. Cheung* and H. Wolkowicz. (2014). Efficient use of semidefinite programming for selection of rotamers in protein conformations. INFORMS J. Computing. 26(4): 748-766. Published Refereed?: Yes, Open Access?: Yes 17. M-H. Lin* and H. Wolkowicz. (2013). A general Hua-type matrix equality and its applications. submitted. : 1- 7. Submitted Refereed?: Yes, Open Access?: Yes 18. B. Alipanahi and N. Krislock* and A. Ghodsi and H. Wolkowicz and L. Donaldson and M. Li. (2013). Determining protein structures from NOESY distance constraints by semidefinite programming. Journal of Computational Biology. 20(4): 296-310. Published Refereed?: Yes, Open Access?: Yes 19. M-H. Lin* and H. Wolkowicz. (2012). An eigenvalue majorization inequality for positive semidefinite block matrices. Linear and Multilinear Algebra. 60(11-12): 1365-1368. Published Refereed?: Yes, Open Access?: Yes 20. X.V. Doan* and S. Kruk* and H. Wolkowicz. (2012). A robust algorith for semidefinite programming. Optimization Methods & Software. 27(4-5): 667-693. Published Refereed?: Yes, Open Access?: Yes 21. B. Alipanahi and N. Krislock* and A. Ghodsi and H. Wolkowicz. (2012). Large-scale manifold learning by semidefinite facial reduction. in progress. : 1-19. Submitted Refereed?: Yes, Open Access?: Yes 22. L. Tuncel and H. Wolkowicz. (2012). Strong duality and minimal representations for cone optimization. Computational Optimization and Applications. 53(2): 619-648. Published Refereed?: Yes, Open Access?: Yes 23. B. Alipanahi and N. Krislock* and A. Ghodsi and H. Wolkowicz and L. Donaldson and M. Li. (2012). Protein structure by semidefinite facial reduction. RECOMB2012, conference proceedings. Published Refereed?: Yes, Open Access?: Yes 24. A. Alfakih* and M.F. Anjos* and V. Piccialli* and H. wolkowicz. (2011). Euclidean distance matrices, semidefinite programming, and sensor network localization. Portug. Math.68(1): 53-102. Published Refereed?: Yes, Open Access?: Yes 345

Dr. Henry Wolkowicz 25. Y. Ding* and D. Ge and H. Wolkowicz. (2011). On equivalence of semidefinite relaxations for quadratic matrix programming. Mathematics of Operations Research. 36(1): 88-104. Published Refereed?: Yes, Open Access?: Yes

Journal Issues

1. H.H. Bauschke; A. Belshaw; Henri Bonnel; J.M. Borwein;. (2013). Computational and Analytical Mathematics. Mathematical Programming. 139(1-2): 103. Published Refereed?: Yes Editors: H.H. Bauschke and M. Thera and H. Wolkowicz

Book Chapters

1. Yuen-Lam Cheung and Simon Schurr and Henry Wolkowicz. (2013). Preprocessing and Regularization for Degenerate Semidefinite Programs. Computational and Analytical Mathematics. In Honor of Jonathan Borwein's 60th Birthday. Springer Proceedings in Mathematics & Statistics(50): 251-303. Published, Springer Refereed?: Yes

Reports

1. Stefan Sremac* and Hugo Woerdeman and Henry Wolkowicz. (2017). Complete Stable Facial Reduction in One Step for Spectrahedra. 34. University of Waterloo 2. Fei Wang and Greg Reid and Henry Wolkowicz. (2017). Computing generators of the truncated real radical ideal by moment matrices and SDP facial reduction. 20. University of Waterloo 3. Greg Reid and Fei Wang and Henry Wolkowicz. (2017). An SDP-based method for the real radical ideal membership test (to appear). 8. International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. 4. D. Drusvyatskiy* and S. Sremac* and H. Wolkowicz. (2017). Three views of facial reduction in cone optimization. 15. University of Waterloo 5. Xiao-Bo Li* and Forbes Burkowski and Henry Wolkowicz. (2016). Protein structure elastic network models and the positive semidefinite matrix manifold, presented at IEEE BIBM 2016. 10. University of Waterloo 6. Ian Davidson* and Henry Wolkowicz. (2016). Rank restricted semidefinite matrices and image closedness. 12. University of Waterloo 7. Marcia Fampa and Daniela Lubke and Fei Wang and Henry Wolkowicz. (2011). Parametric Semidefinite Relaxations of the Quadratic Knapsack Problem. 34. University of Waterloo

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Dr. Yaoliang Yu Cheriton School of Computer Science

Language Skills

Language Read Write Speak Understand Peer Review

English Yes Yes Yes Yes Yes

Degrees - 2013/11 Doctorate, Computing Science, University of Alberta Supervisors: Csaba Szepesvari, 2009/4 - 2013/11; Dale Schuurmans, 2009/4 - 2013/11 - 2008/6 Master's Thesis, Electronic Engineering, Fudan University Supervisors: Liming Zhang, 2005/7 - 2008/6 - 2005/6 Bachelor's, Electronic Engineering, Fudan University

Recognitions 2015/6 AI Doctoral Dissertation Award - 500 The Canadian Artificial Intelligence Association Prize / Award This award concerns outstanding dissertations completed in a Canadian University during 2014 in the field of Artificial Intelligence. The winner was announced at the 2015 Canadian Conference on Artificial Intelligence held in Halifax from June 2nd to June 5th, 2015 and was invited to give a talk at the conference (conference registration were covered as well as travel expenses of up to $1,000). The winner also received a monetary prize of $500 and a certificate from CAIAC. Every Academic Unit within a Canadian University is invited to submit one nomination to CAIAC’s Doctoral Dissertation Award Committee, as long as the thesis is in the area of Artificial Intelligence. 2014/6 PhD Outstanding Thesis Award University of Alberta Prize / Award There is no time limit for the PhD outstanding thesis award, but the student must already have defended his/her thesis. Based on achievements during the program and letter from thesis examiners, which must include supervisor, external examiner, and at least another member of the examining committee. At most one PhD student will be selected for this award each year.

User Profile

Research Specialization Keywords: machine learning, artificial intelligence, optimization

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Dr. Yaoliang Yu Employment 2016/9 Assistant Professor School of Computer Science, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 2015/8 - 2016/8 Research Scientist Machine Learning, Computer Science, Carnegie-Mellon University Full- time Tenure Status: Non Tenure Track Under the supervision of Prof Eric P. Xing at Carnegie Mellon, I performed research on large-scale optimization for big data and prepared funding applications on computational biology. 2014/2 - 2015/7 Postdoctoral Fellow Machine Learning, Computer Science, Carnegie-Mellon University Full- time Tenure Status: Non Tenure Track Work on machine learning projects under the supervision of Prof Eric P. Xing at Carnegie Mellon. Research Funding History

Awarded [n=2] 2016/9 - 2021/8 University of Waterloo Startup Grant, Grant Principal Investigator Funding Sources: 2016/9 - 2021/8 University of Waterloo Startup Grant Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: No 2015/8 - 2019/6 Toward PanOmic and Personalized Association Study of Complex Disease Co-applicant Statistical and Computational Paradigm for Personalized Medicine, Grant Funding Sources: 2015/8 - 2019/6 National Institutes of Health (NIH) (USA) Biodata Management and Analysis Study Section (BDMA) Total Funding - 571,578 Portion of Funding Received - 0 Funding Competitive?: Yes Principal Investigator : Eric P. Xing Under Review [n=1] 2017/4 - 2022/3 Computational Foundations of Machine Learning in the Era of Big Data, Grant Principal Investigator Funding Sources: 2017/4 - 2022/3 Natural Sciences and Engineering Research Council of Canada (NSERC) 348

Dr. Yaoliang Yu Discovery Grant Total Funding - 317,000 Portion of Funding Received - 0 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Master’s Thesis [n=1] 2014/5 - 2016/6 Xun Zheng (Completed) , Carnegie Mellon University Academic Advisor Thesis/Project Title: Linear Time Samplers for Supervised Topic Models using Compositional Proposals Present Position: PhD student, Carnegie Mellon University, Pittsburgh, USA

Doctorate [n=1] 2014/2 - 2016/8 Xiaojun Chang (Completed) , University of Technology Sydney Academic Advisor Thesis/Project Title: Exploring Semantic Concepts for Complex Event Analysis in Unconstrained Videos Present Position: Postdoctoral Fellow, Carnegie Mellon University, Pittsburgh, USA

Presentations 1. Xiaojun Chang. (2016). Not Equally Reliable: Semantic Event Search using Differentiated Concept Classiffiers. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, United States Main Audience: Researcher Invited?: No, Keynote?: No 2. (2016). Scalable and Sound Low-Rank Tensor Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain Main Audience: Researcher Invited?: No, Keynote?: No 3. (2016). Closed-Form Training of Mahalanobis Distance for Supervised Clustering. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, United States Main Audience: Researcher Invited?: No, Keynote?: No 4. (2016). The computational, Statistical, and Practical Aspects of Embracing Big Data. University of Toronto, Department of Computer Science and Department of Statistical Science, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2015). Minimizing Nonconvex Non-Separable Functions. International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, United States Main Audience: Researcher Invited?: No, Keynote?: No 6. (2015). Fast Gradient Algorithms for Structured Sparsity. 28th Canadian Artificial Intelligence Conference, Halifax, Canada Main Audience: Researcher 349

Dr. Yaoliang Yu Invited?: Yes, Keynote?: No 7. (2013). Fast gradient algorithms for structured sparsity. Carnegie Mellon University, Machine Learning Department, Pittsburgh, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2013). Fast gradient algorithms for structured sparsity. Google at mountain view, Mountain View, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2013). Better Approximation and Faster Algorithm Using the Proximal Average. Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, United States Main Audience: Researcher Invited?: No, Keynote?: No 10. (2013). Generalized Conditional Gradient and Its Applications. University of British Columbia at Okanagan, Kelowna, Canada Invited?: Yes, Keynote?: No 11. (2013). Robust Regression and Efficient Optimization. National ICT Australia (NICTA) at Canberra, Canberra, Australia Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2013). Characterizing the Representer Theorem. International Conference on Machine Learning (ICML), Atlanta, United States Main Audience: Researcher Invited?: No, Keynote?: No 13. (2013). On Decomposing the Proximal Map. Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, United States Main Audience: Researcher Invited?: No, Keynote?: No 14. (2013). Generalized Conditional Gradient and Its Applications. French Institute for Research in Computer Science and Automation (INRIA) at Paris, Paris, France Invited?: Yes, Keynote?: No 15. (2012). Analysis of Kernel Mean Matching under Covariate Shift. International Conference on Machine Learning (ICML), Edingburgh, United Kingdom Main Audience: Researcher Invited?: No, Keynote?: No 16. Zhang X. (2012). Accelerated Training for Matrix-Norm Regularization: A Boosting Approach. Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, United States Main Audience: Researcher Invited?: No, Keynote?: No 17. (2012). A Polynomial-time Form of Robust Regression. Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, United States Main Audience: Researcher Invited?: No, Keynote?: No 18. (2012). Regularizers versus Losses for Nonlinear Dimensionality Reduction. International Conference on Machine Learning (ICML), Edingburgh, United Kingdom 350

Dr. Yaoliang Yu Main Audience: Researcher Invited?: No, Keynote?: No 19. Schuurmans D. (2011). Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering. Conference on Uncertainty in Artificial Intelligence (UAI), Bacelona, Spain Main Audience: Researcher Invited?: No, Keynote?: No Publications

Journal Articles

1. Xiaojun Chang, Yao-Liang Yu, Yi Yang, and Eric P. Xing. (2016). Semantic Pooling for Complex Event Analysis in Untrimmed Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. Accepted Refereed?: Yes 2. Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, and Yaoliang Yu. (2015). Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Transactions on Big Data. 1(2): 49-67. Published Refereed?: Yes 3. Yaoliang Yu, Xinhua Zhang, and Dale Schuurmans. (2014). Generalized Conditional Gradient for Sparse Estimation. Journal of Machine Learning Research. Revision Requested Refereed?: Yes, Open Access?: Yes 4. Yao-Liang Yu, Jiayan Jiang, and Liming Zhang. (2011). Distance metric learning by minimal distance maximization. Pattern Recognition. 44: 639-649. Published Refereed?: Yes

Book Chapters

1. Yao-Liang Yu. (2015). Online Learning and Optimization. Ming-Yang Kao. Encyclopedia of Algorithms. : 1-8. Published, Springer Refereed?: Yes

Conference Publications

1. Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, and Junfeng Wen. (2016). Convex Two-Layer Modeling with Latent Structure. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2016/12 Paper Accepted Refereed?: Yes, Invited?: No 2. Xiaojun Chang, Yao-Liang Yu, Yi Yang, and Eric P. Xing. (2016). Not Equally Reliable: Semantic Event Search using Differentiated Concept Classifiers. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Conference Date: 2016/6 Paper Published 351

Dr. Yaoliang Yu Refereed?: Yes, Invited?: No 3. Kirthevasan Kandasamy and Yaoliang Yu. (2016). Additive Approximations in High Dimensional Nonparametric Regression via the SALSA. International Conference on Machine Learning (ICML), Conference Date: 2016/6 Paper Published Refereed?: Yes, Invited?: No 4. Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, and Eric Xing. (2016). Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. Conference on Uncertainty in Artificial Intelligence (UAI), Conference Date: 2016/6 Paper Published Refereed?: Yes, Invited?: No 5. Marc T. Law, Yaoliang Yu, Matthieu Cord, and Eric P. Xing. (2016). Closed-Form Training of Mahalanobis Distance for Supervised Clustering. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Conference Date: 2016/6 Paper Published Refereed?: Yes, Invited?: No 6. Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, and Eric P. Xing. (2016). On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. International Conference on Artificial Intelligence and Statistics (AISTATS), Conference Date: 2016/5 Paper Published Refereed?: Yes, Invited?: No 7. Hao Cheng, Yao-Liang Yu, Xinhua Zhang, Eric P. Xing, and Dale Schuurmans. (2016). Scalable and Sound Low-Rank Tensor Learning. International Conference on Artificial Intelligence and Statistics (AISTATS), Conference Date: 2016/5 Paper Published Refereed?: Yes, Invited?: No 8. Yao-Liang Yu and Eric P. Xing. (2015). Exact Algorithms for Isotonic Regression and Related. Journal of Physics: Conference Series, Conference Date: 2015/12 Paper Published Refereed?: Yes, Invited?: Yes 9. Xiaojun Chang, Yao-Liang Yu, Yi Yang, and Alexander G. Hauptmann. (2015). Searching Persuasively: Joint Event Detection and Evidence Recounting with Limited Supervision. ACM Conference on Multimedia (MM), Conference Date: 2015/10 Paper 352

Dr. Yaoliang Yu Published Refereed?: Yes, Invited?: No 10. Xun Zheng, Yao-Liang Yu, and Eric P. Xing. (2015). Linear Time Samplers for Supervised Topic Models using Compositional Proposals. ACM Conference on Knowledge Discovery and Data Mining (KDD), Conference Date: 2015/8 Paper Published Refereed?: Yes, Invited?: No 11. Xiaojun Chang, Yi Yang, Alexander G. Hauptmann, Eric P. Xing, and Yao-Liang Yu. (2015). Semantic Concept Discovery for Large-Scale Zero-Shot Event Detection. International Joint Conference on Artificial Intelligence (IJCAI), Conference Date: 2015/7 Paper Published Refereed?: Yes, Invited?: No 12. Xiaojun Chang, Yi Yang, Eric P. Xing, and Yao-Liang Yu. (2015). Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM. International Conference on Machine Learning (ICML), Conference Date: 2015/6 Paper Published Refereed?: Yes, Invited?: No 13. Yao-Liang Yu, Xun Zheng, Micol Marchetti-Bowick, and Eric P. Xing. (2015). Minimizing Nonconvex NonSeparable Functions. International Conference on Artificial Intelligence and Statistics (AISTATS), Conference Date: 2015/5 Paper Published Refereed?: Yes, Invited?: No 14. Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime G. Carbonell, and Suvrit Sra. (2014). Efficient Structured Matrix Rank Minimization. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2014/12 Paper Published Refereed?: Yes, Invited?: No 15. Yao-Liang Yu. (2013). Better Approximation and Faster Algorithm Using the Proximal Average. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2013/12 Paper Published Refereed?: Yes, Invited?: No 16. Xinhua Zhang, Yaoliang Yu, and Dale Schuurmans. (2013). Polar Operators for Structured Sparse Estimation. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2013/12 Paper Published Refereed?: Yes, Invited?: No

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Dr. Yaoliang Yu 17. Yao-Liang Yu. (2013). On Decomposing the Proximal Map. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2013/12 Paper Published Refereed?: Yes, Invited?: No 18. Yao-Liang Yu, Hao Cheng, Dale Schuurmans, and Csaba Szepesvari. (2013). Characterizing the Representer Theorem. International Conference on Machine Learning (ICML), Conference Date: 2013/6 Paper Published Refereed?: Yes, Invited?: No 19. Martha White, Yaoliang Yu, Xinhua Zhang, and Dale Schuurmans. (2012). Convex Multi-view Subspace Learning. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 20. Yaoliang Yu, Ozlem Aslan, and Dale Schuurmans. (2012). A Polynomial-time Form of Robust Regression. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 21. Xinhua Zhang, Yaoliang Yu, and Dale Schuurmans. (2012). Accelerated Training for Matrix-Norm Regularization: A Boosting Approach. Advances in Neural Information Processing Systems (NIPS), Conference Date: 2012/12 Paper Published Refereed?: Yes, Invited?: No 22. Yao-Liang Yu and Csaba Szepesvari. (2012). Analysis of Kernel Mean Matching under Covariate Shift. International Conference on Machine Learning (ICML), Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: No 23. Yaoliang Yu, James Neufeld, Ryan Kiros, Xinhua Zhang, and Dale Schuurmans. (2012). Regularizers versus Losses for Nonlinear Dimensionality Reduction. International Conference on Machine Learning (ICML), Conference Date: 2012/6 Paper Published Refereed?: Yes, Invited?: No 24. Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, and Dale Schuurmans. (2011). Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. Association for the Advancement of Artificial Intelligence (AAAI), Conference Date: 2011/8 354

Dr. Yaoliang Yu Paper Published Refereed?: Yes, Invited?: No 25. Yao-Liang Yu and Dale Schuurmans. (2011). Rank/Norm Regularization with Closed-Form Solutions: Application to Subspace Clustering. Conference on Uncertainty in Artificial Intelligence (UAI), Conference Date: 2011/7 Paper Published Refereed?: Yes, Invited?: No

355

Dr. Mu Zhu Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes French Yes No No No No

Degrees - 2001/6 Doctorate, Statistics, Stanford University Supervisors: Trevor J. Hastie, 1996/9 - 2001/6 - 1995/6 Bachelor's, Applied Mathematics, Harvard University Supervisors: David Laibson and Gary Chamberlain, 1991/9 - 1995/6

Recognitions 2011/4 - 2014/3 Discovery Accelerator Supplement Award Natural Sciences and Engineering Research Council of Canada (NSERC) Prize / Award Given to "top-ranked researchers judged by their peers to show strong potential for becoming international leaders in their area". User Profile

Research Specialization Keywords: classification, data mining, dimension reduction, ensemble methods, kernel methods, machine learning, multivariate analysis, nonparametric methods, predictive analytics, variable selection

Employment 2014/7 Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Professor Tenure Status: Tenure 2017/7 - 2018/6 Director of Data Science Statistics and Actuarial Science, Mathematics, University of Waterloo Part-time, Term, Professor Tenure Status: Tenure 2014/9 - 2015/12 Associate Chair, Graduate Studies Statistics and Actuarial Science, Mathematics, University of Waterloo Part-time, Term, Professor Tenure Status: Tenure

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Dr. Mu Zhu 2007/7 - 2014/6 Associate Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Associate Professor Tenure Status: Tenure 2001/8 - 2007/6 Assistant Professor Statistics and Actuarial Science, Mathematics, University of Waterloo Full-time, Assistant Professor Tenure Status: Tenure Track 1995/7 - 1996/7 Research Assistant Financial Securities Group, National Economic Research Associates, Inc. Research Funding History

Awarded [n=1] 2016/4 - 2021/3 Networks: Estimation in Protein Molecules, Modeling of Transactional Data, and Principal Applicant Application to Ensemble Learning, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant - Individual Total Funding - 165,000 Portion of Funding Received - 165,000 Funding Competitive?: Yes

Completed [n=4] 2011/4 - 2016/3 Kernels and ensembles for horizontal and vertical information selection, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant - Individual Total Funding - 140,000 Portion of Funding Received - 140,000 Funding Competitive?: Yes 2011/4 - 2014/3 Kernels and ensembles for horizontal and vertical information selection, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Accelerator Supplement Total Funding - 120,000 Portion of Funding Received - 120,000 Funding Competitive?: Yes 2008/4 - 2013/3 InfoRehab: Enhancing MSK rehabilitation through better use of health information, Grant Co-investigator Funding Sources: Canadian Institutes of Health Research (CIHR) Emerging team grant Total Funding - 1,500,000 Portion of Funding Received - 75,000 Funding Competitive?: Yes Principal Investigator : Stolee, Paul and 16 co-investigators

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Dr. Mu Zhu 2006/4 - 2011/3 Rare target detection with statistical learning methods: Drug discovery, Principal Investigator functional genomics and proteomics, Grant Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant - Individual Total Funding - 80,000 Portion of Funding Received - 80,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision Bachelor’s [n=7] 2014/5 - 2014/8 Murdoch, William James (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Expanded alternating optimization of nonconvex functions with applications to matrix factorization and penalized regression (NSERC-USRA) Present Position: PhD Student, UC Berkeley 2013/1 - 2013/4 Kwon, Soon (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Prediction contest on Kaggle Present Position: N/A 2011/5 - 2011/8 Wan, Yali (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Determining the rank of non-negative matrix factorization Present Position: PhD Student, University of Washington 2011/5 - 2011/8 Wang, Shangsi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Individual neutrality and collective decision making Present Position: PhD Student, Johns Hopkins University 2011/1 - 2011/8 Ni, Pinghan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Programming for Analytics and Informatics Laboratory Present Position: N/A 2011/1 - 2012/4 Nguyen, Jennifer (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Content-boosted matrix factorization Present Position: Obtained Master's from University College London 2010/5 - 2011/4 Liu, Kai (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Programming for Analytics and Informatics Laboratory Present Position: PhD Student, University of Waterloo Master’s non-Thesis [n=9] 2016/9 - 2017/8 Rudd, Jeffrey Michael (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Effect of neural network depth on the response to signal noise Present Position: PhD Student, University of Waterloo 2013/9 - 2014/8 Del Bel, Ryan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Using the SVM to increase the power of genetic studies Present Position: N/A 2013/9 - 2014/8 Shen, Mi (Sammy) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Determining the rank of non-negative matrix factorization Present Position: Biostatistician, a start-up company in biomedical technology 2013/9 - 2014/8 Zhao, Yan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Content-boosted matrix completion Present Position: PhD Student, University of British Columbia (CS)

358 Dr. Mu Zhu 2012/9 - 2013/8 Cheng, Huan (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Single-index response surface models Present Position: Biostatistician, a company specializing in clinical trials 2012/9 - 2013/8 Tian, Zi (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Graphical models for currency exchange data Present Position: N/A 2011/1 - 2011/8 Chen, Qiaoling (Joyce) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Impact of FOMC meetings on trading Present Position: N/A 2010/9 - 2011/8 Wang, Xiaohui (Shirly) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Deep kernel machines Present Position: Statistician, Scotia Bank 2009/9 - 2011/4 Ye, Zhou (Laura) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Anchor selection for recommender systems Present Position: N/A Master’s Thesis [n=5] 2013/9 - 2015/5 Huang, Xingliang (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Fixed point iteration algorithms for low-rank matrix completion Present Position: N/A 2013/9 - 2015/5 Chang, Ya-Ting (Sabrina) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: L1-penalized ordinal regression and Bayesian variable selection for linear models with multiple responses Present Position: PhD Student, University of Edinburgh 2012/9 - 2014/12 Lin, Wu (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Nested Chinese restaurant process for information retrieval Present Position: N/A 2011/9 - 2013/4 Zhang, Xueshan (Ellie) (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Novelty detection by latent semantic indexing Present Position: Obtained (another) Master's from Harvard University 2010/9 - 2011/12 Wang, Bo (Completed) , University of Waterloo Principal Supervisor Thesis/Project Title: Variable ranking by solution-path algorithms Present Position: N/A

Doctorate [n=7] 2017/9 - 2021/12 Rudd, Jeffrey Michael (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2021/12 Thesis/Project Title: Gibbs sampler for dialogue generation Present Position: PhD Student, University of Waterloo 2016/5 - 2020/8 Prasad, Avinash (In Progress) , University of Waterloo Co-Supervisor Student Degree Expected Date: 2020/8 Thesis/Project Title: Measuring dependence between random vectors Present Position: PhD Student, University of Waterloo 2013/9 - 2017/12 Wu, Yilei (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: High-dimensional discriminant analysis and covariance matrix estimation Present Position: N/A

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Dr. Mu Zhu 2011/9 - 2016/12 Xin, Lu (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Generalizations and applications of stochastic block model to basketball games and variable selection problems Present Position: Data Scientist, Royal Bank of Canada 2011/9 - 2019/12 Cheng, Lu (In Progress) , University of Waterloo Principal Supervisor Student Degree Expected Date: 2019/12 Thesis/Project Title: Compositional epistasis detection Present Position: PhD Student, University of Waterloo 2010/1 - 2015/8 Soltan Ghoraie, Laleh (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Predicting conformational polymorphisms and inferring direct couplings for side chains of proteins Present Position: Postdoc, University of Toronto 2010/1 - 2012/12 Armstrong, Joshua (Completed) , University of Waterloo Co-Supervisor Thesis/Project Title: Rehabilitation in home care Present Position: Postdoc, Dalhousie University

Event Administration 2016/1 - 2018/6 Co-organizer, BIRS-CMO Workshop: Statistics and Distributed Computing (Oaxaca, Mexico), Conference, 2018/5 - 2018/5 2014/1 - 2014/6 Organizer, ASA-SLDM Conference on Statistical Learning and Data Mining (Durham, USA) - Invited Session on "deep learning"., Conference, 2014/6 - 2014/6 2009/7 - 2012/6 Co-organizer, BIRS Workshop: Current Challenges in Statistical Learning (Banff, Canada), Conference, 2011/12 - 2011/12 2010/9 - 2011/6 Co-organizer, Fields Workshop: Perspectives on High-dimensional Data Analysis (Toronto, Canada), Conference, 2011/6 - 2011/6

Editorial Activities 2013/1 - 2018/12 Associate Editor, Statistical Analysis and Data Mining, Journal 2008/1 - 2016/12 Associate Editor, The American Statistician, Journal 2010/1 - 2013/12 Associate Editor, The Canadian Journal of Statistics, Journal

Organizational Review Activities 2017/7 - 2017/11 External Examiner of PhD Dissertation, University of Turku Dissertation by Ilmari Ahonen, Department of Mathematics and Statistics 2016/3 - 2016/5 External Examiner of PhD Dissertation, University of Toronto Dissertation by Cody Severinski, Department of Statistics 2014/4 - 2014/6 External Examiner of PhD Dissertation, University of Toronto Dissertation by Billy Heung Wing Chang, School of Public Health 2014/1 - 2014/3 External Examiner of PhD Dissertation, McGill University Dissertation by Fatemeh Shohoudi Mojdehi, Department of Mathematics and Statistics 2011/6 - 2011/9 External Examiner of PhD Dissertation, University of Toronto Dissertation by Li Li, Department of Statistics

360 Dr. Mu Zhu Committee Memberships 2015/7 - 2018/6 Committee Member, Canadian Journal of Statistics Award Committee, Statistical Society of Canada 2014/7 - 2016/6 Committee Member, Council of Sections, American Statistical Association Representing the Section on Statistical Learning and Data Mining (SLDM). 2011/7 - 2014/6 Chair, Business and Industrial Statistics Section (BISS), Statistical Society of Canada President-elect (2011-2012). President (2012-2013). Past-president (2013-2014). 2012/9 - 2013/8 Chair, Student Paper Competition Committee, Section on Statistical Learning and Data Mining (SLDM), American Statistical Association 2012/7 - 2013/6 Committee Member, Program Committee, SSC Annual Meetings, Statistical Society of Canada (SSC)

Other Memberships 2003/1 - 2038/12 Member, American Statistical Association 2000/1 - 2038/12 Member, Statistical Society of Canada 1998/1 - 2038/12 Member, Institute of Mathematical Statistics

Presentations 1. (2016). Kernelized partial canonical correlation analysis and allostery in small G proteins. Seminar, University of Guelph, Guelph, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 2. (2016). Networks, small G proteins and basketball games. ASA-SLDS Conference on Statistical Learning and Data Science, Chapel Hill, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 3. (2016). Making personalized recommendations. Prof Talk, Statistics Club, University of Waterloo, Waterloo, Canada Main Audience: General Public Invited?: Yes, Keynote?: No 4. (2016). Continuous-time stochastic block models and basketball games. 8th International Workshop on Applied Probability, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 5. (2015). Continuous-time stochastic block models for transactional networks. Workshop on Statistical & Computational Challenges in Networks & Cybersecurity, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 6. (2015). Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins. 23rd International Conference on Intelligent Systems for Molecular Biology, Dublin, Ireland Main Audience: Researcher Invited?: Yes, Keynote?: No

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Dr. Mu Zhu 7. (2014). Continuous-time stochastic block models for transactional networks. 3rd IMS-ASIA Pacific Rim Meeting, Taipei, Taiwan, Province of China Main Audience: Researcher Invited?: Yes, Keynote?: No 8. (2013). Kernels and ensembles for vertical and horizontal information selection. Seminar, Amazon.com, Inc., Seattle, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 9. (2013). When is the majority-vote classifier beneficial?. Joint Statistical Meetings, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 10. (2013). Content-boosted matrix factorization for recommender systems. Statistical Society of Canada, Annual Meeting, Edmonton, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 11. (2013). Momentum-stamina trade-off. Modern Large Scale Statistical Learning Workshop, Manhattan Beach, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 12. (2013). Statistical learning: An introductory overview. 10th International Conference on Computational Management Science, Montreal, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 13. (2012). A heuristic algorithm for determining the rank of nonnegative matrix factorization. 5th International Conference of the ERCIM Workgroup on Computing & Statistics, Oviedo, Spain Main Audience: Researcher Invited?: No, Keynote?: No 14. (2012). Content-boosted matrix factorization for recommender systems. ASA-SLDM Conference on Statistical Learning and Data Mining, Ann Arbor, United States Main Audience: Researcher Invited?: Yes, Keynote?: No 15. (2012). Content-boosted matrix factorization for recommender systems. Seminar, Vision and Image Processing Group, University of Waterloo, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 16. (2012). Ensemble learning: Classification, variable selection, and collective decision making. Seminar, University of Toronto, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 17. (2012). Content-boosted matrix factorization for recommender systems. Seminar, York University, Toronto, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No

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Dr. Mu Zhu 18. (2012). Content-boosted matrix factorization for recommender systems. 2nd Canadian Symposium on Teaching and Research Excellence, Waterloo, Canada Main Audience: Researcher Invited?: Yes, Keynote?: No 19. (2012). Ensemble learning: Classification, variable selection, and collective decision making. Joint Statistical Meetings, San Diego, United States Main Audience: Researcher Invited?: Yes, Keynote?: No

Publications

Journal Articles

1. Zhang C, *Wu Y, Zhu M. (2018). Pruning variable selection ensembles. Statistics and Computing. Revision Requested Refereed?: Yes, Open Access?: No 2. *Wu Y, Qin Y, Zhu M. (2018). High-dimensional covariance matrix estimation using a low-rank and diagonal decomposition. The Canadian Journal of Statistics. Submitted Refereed?: Yes, Open Access?: No 3. Hofert M, Oldford W, *Prasad A, Zhu M. (2018). A framework for measuring dependence between random vectors. Journal of Multivariate Analysis. Submitted Refereed?: Yes, Open Access?: No 4. *Wu Y, Qin Y, Zhu M. (2018). Quadratic discriminant analysis for high-dimensional data. Statistica Sinica. In Press Refereed?: Yes, Open Access?: No 5. *Cheng L, Zhu, M. (2018). Compositional epistasis detection using a few prototype disease models. PLoS One. Revision Requested Refereed?: Yes, Open Access?: Yes 6. *Xin L, Zhu M, Chipman HA. (2017). A continuous-time stochastic block model for basketball networks. The Annals of Applied Statistics. 11(2): 553-597. Published Refereed?: Yes 7. *Soltan-Ghoraie L, Burkowski F, Zhu M. (2015). Sparse networks of directly coupled, polymorphic and functional side chains in allosteric proteins. Proteins: Structure, Function, and Bioinformatics. 83(3): 497- 516. Published Refereed?: Yes, Open Access?: No 8. *Armstrong JJ, Hirdes JP, Zhu M, Stolee P. (2015). Rehabilitation therapies for older clients of the Ontario home care system: Regional variation and client-level predictors of service provision. Disability and Rehabilitation. 37(7): 625-631. Published Refereed?: Yes, Open Access?: No 363

Dr. Mu Zhu 9. *Cheng L, Zhu M, Poss JW, Hirdes JP, Glenny C, Stolee P. (2015). Opinion versus practice regarding the use of rehabilitation services in home care: An investigation using machine learning algorithms. BMC Medical Informatics and Decision Making. 15(80) Published Refereed?: Yes, Open Access?: Yes 10. Parissenti AM, Guo B, Pritzker LB, Pritzker KPH, *Wang X, Zhu M, Shepherd LE, Trudeau ME. (2015). Tumor RNA disruption predicts survival benefit from breast cancer chemotherapy. Breast Cancer Research and Treatment. 153: 135-144. Published Refereed?: Yes, Open Access?: No 11. Zhu M. (2015). Use of majority votes in statistical learning (invited manuscript). Wiley Interdisciplinary Reviews: Computational Statistics. 7(6): 357-371. Published Refereed?: Yes, Open Access?: No 12. Zhu M. (2015). A network generating an infinite amount of data with an effective sample size of one. Mathematics Magazine. Submitted Refereed?: Yes 13. *Soltan-Ghoraie L, Burkoswki F, Zhu M. (2015). Using kernelized partial canonical correlation analysis to study directly coupled side chains and allostery in small G proteins. Bioinformatics. 31(12): i124-i132. Published Refereed?: Yes, Open Access?: Yes 14. Yuan Y, *Su W, Zhu M. (2015). Threshold-free measures for assessing the performance of medical screening tests. Frontiers in Public Health. 3(57) Published Refereed?: Yes, Open Access?: Yes 15. *Soltan-Ghoraie L, Burkowski F, Li S, Zhu M. (2014). Residue-specific side-chain polymorphisms via particle belief propagation. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 11(1): 33-41. Published Refereed?: Yes, Open Access?: No 16. *Nguyen J, Zhu M. (2013). Content-boosted matrix factorization techniques for recommender systems. Statistical Analysis and Data Mining. 6(4): 286-301. Published Refereed?: Yes, Open Access?: No 17. *Xin L, Zhu M. (2012). Stochastic stepwise ensembles for variable selection. Journal of Computational and Graphical Statistics. 21(2): 275-294. Published Refereed?: Yes, Open Access?: No 18. Zhu M, *Wang S, *Xin L. (2012). On individual neutrality and collective decision making. The Mathematical Scientist. 37: 141-146. Published Refereed?: Yes, Open Access?: No 19. Young S, *Yuan F, Zhu M. (2012). Chemical descriptors are more important than learning algorithms for modelling. Molecular Informatics. 31(10): 707-710.

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Dr. Mu Zhu Published Refereed?: Yes, Open Access?: No 20. *Armstrong JJ, Zhu M, Hirdes JP, Stolee P. (2012). K-means cluster analysis of rehabilitation service users in the home health care system of Ontario: Examining the heterogeneity of a complex geriatric population. Archives of Physical Medicine and Rehabilitation. 93(12): 2198-2205. Published Refereed?: Yes, Open Access?: No

Book Chapters

1. Zhu M. (2014). Making personalized recommendations in e-commerce. Lawless J. Statistics in Action: A Canadian Outlook. : 259-268. Published, Chapman & Hall Refereed?: Yes 2. Zhu M, *Cheng L, *Armstrong JJ, Poss JW, Hirdes JP, Stolee P. (2014). Using machine learning to plan rehabilitation for home care clients: Beyond ‘black-box’ predictions. Dua S, Acharya UR, Dua P. Machine Learning in Healthcare Informatics. : 181-207. Published, Springer Refereed?: Yes

Reports

1. *Cheng H, Zhu M. (2014). siRSM: Single-index response surface models [R package]. 11. The R Foundation.

Conference Publications

1. *Murdoch, WJ, Zhu, M. (2016). Expanded alternating optimization for matrix factorization and penalized regression. Proceedings of the 22nd International Conference on Computational Statistics. The 22nd International Conference on Computational Statistics, Oviedo, Spain (217-229) Conference Date: 2016/8 Paper Published Refereed?: Yes, Invited?: No 2. *Su W, Yuan Y, Zhu M. (2015). A relationship between the average precision and the area under the ROC curve. Proceedings of the ACM SIGIR 2015 International Conference on the Theory of Information Retrieval. ACM SIGIR 2015 International Conference on the Theory of Information Retrieval, Northampton, United States (349-352) Conference Date: 2015/9 Paper Published Refereed?: Yes, Invited?: No

365

Ms. YEYING ZHU Department of Statistics and Actuarial Science

Language Skills

Language Read Write Speak Understand Peer Review English Yes Yes Yes Yes Yes Mandarin Chinese Yes Yes Yes Yes Yes

Degrees - 2013/8 Doctorate, Statistics, Pennsylvania State University Supervisors: Ghosh, Debashis, 2010/1 - 2013/5 - 2009/2 Master's Thesis, Statistics, National University of Singapore Supervisors: Zhang, Jin-Ting, 2007/1 - 2008/7 - 2006/7 Diploma, International Economics & Trade, East China Normal University - 2006/7 Bachelor's, Statistics, East China Normal University

Recognitions 2012/4 William Harkness Graduate Student Travel Award - 900 Pennsylvania State University Prize / Award Travel fund to attend academic conferences provided by Professor William Harkness 2011/8 William Harkness Graduate Student Travel Award - 900 Pennsylvania State University Prize / Award Travel fund to attend academic conferences provided by Professor William Harkness

User Profile

Research Specialization Keywords: Causal Inference, High-Dimensional Data, Machine Learning, Mediation Analysis

Employment 2013/7 Assistant Professor Statistics and Actuarial Science, University of Waterloo Full-time Tenure Status: Tenure Track

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Ms. YEYING ZHU 2011/8 - 2013/5 Research Assistant The Methodology Center, Pennsylvania State University Full-time Tenure Status: Non Tenure Track 2011/6 - 2011/8 Graduate Associate Merck Conducting statistical analysis in SAS using large medical data sets. 2010/8 - 2011/5 Pre-doctoral Fellow Quantitative Social Science Initiative, Pennsylvania State University Full-time Tenure Status: Non Tenure Track

Research Funding History

Awarded [n=3] 2017/4 - 2022/3 Causal Inference in High-Dimensional Settings, Grant Principal Investigator Funding Sources: Natural Sciences and Engineering Research Council of Canada (NSERC) Total Funding - 105,000 Portion of Funding Received - 10,500 Funding Competitive?: Yes 2013/7 - 2018/6 Start-Up Fund, Grant Principal Applicant

Funding Sources: University of Waterloo Total Funding - 35,000 Portion of Funding Received - 35,000 Funding Competitive?: Yes 2016/6 - 2018/5 SSHRC Insight Development Grants, Grant Principal Applicant Funding Sources: Social Sciences and Humanities Research Council of Canada (SSHRC) Total Funding - 51,145 Portion of Funding Received - 51,145 Funding Competitive?: Yes

Completed [n=3] 2014/9 - 2014/12 University Research Internship, Grant Principal Applicant Funding Sources: University of Waterloo Total Funding - 1,600 Portion of Funding Received - 1,600 Funding Competitive?: Yes

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Ms. YEYING ZHU 2014/1 - 2014/4 University Research Internship, Grant Principal Applicant Funding Sources: University of Waterloo Total Funding - 1,600 Portion of Funding Received - 1,600 Funding Competitive?: Yes 2010/8 - 2011/5 Pre-Doctoral Fellowship, Fellowship Principal Applicant Funding Sources: Quantitative Social Science Initiative Total Funding - 15,000 Portion of Funding Received - 15,000 Funding Competitive?: Yes

Student/Postdoctoral Supervision

Bachelor’s [n=6] 2017/9 - 2017/12 Hanson Li, University of Waterloo Principal Supervisor Thesis/Project Title: Subgroup Analysis Using Random Forest Present Position: Bachelor's student 2016/9 - 2016/12 Haodi Liang (In Progress) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Causal Inference for Survival Analysis Present Position: Master's student 2015/9 - 2016/5 Yao Li (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Matching Using Machine Learning Techniques Present Position: Master's student 2014/9 - 2014/12 Amil Khemrajsingh (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Mediation Analysis Based on Semi-Parametric Structural Equation Models Present Position: NA 2014/5 - 2014/8 Maya Schonbach (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Variable Selection for Propensity Score Estimation via Balancing Covariates Present Position: Master's student 2014/1 - 2014/4 Amil Khemrajsingh (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Data-Adaptive Approaches for Combining Regression Models Present Position: NA Master’s non-Thesis [n=4] 2017/1 - 2017/12 Yurun Chen, University of Waterloo Principal Supervisor Thesis/Project Title: Methods of Improving Random Forest withan Application in E- Commerce Present Position: Intern 2016/9 - 2017/5 Yao Li (In Progress) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Genetic Matching Using Different Stopping Criteria Present Position: Master's student

368

Ms. YEYING ZHU 2015/1 - 2015/8 Lin (Laura) Lin (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Multi-level Treatment Causal Inference Using Machine Learned Propensity Scores Present Position: Data Analyst 2015/1 - 2015/8 Danny Lu (Completed) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Multivariate Regression Procedure Based on Potential Outcomes Framework Present Position: Data Analyst Doctorate [n=1] 2014/9 - 2018/8 Yuying Xie (In Progress) , Faculty of Mathematics, University of Waterloo Principal Supervisor Thesis/Project Title: Machine Learning Methods in Causal Inference Present Position: PhD student

Event Administration 2016/5 - 2016/5 Organizer and Chair, SSC session: New Perspectives in Causal Inference, Conference, 2016/5 - 2016/6 2014/8 - 2014/8 Organizing Committee, Two Weeks at Waterloo-A Summer School for Women in Math, Workshop, 2014/8 - 2014/8 2014/5 - 2014/5 Chair, SSC session: Biostatistics-Application 3, Conference, 2014/5 - 2014/5 2012/4 - 2012/4 Chair, ENAR session: The Analysis of Social Network Data in Public Health, Conference, 2012/4 - 2012/4

Committee Memberships 2015/9 - 2016/8 Committee Member, Comprehensive Exam Committee, University of Waterloo 2013/9 - 2015/8 Committee Member, Graduate Operations Committee, University of Waterloo

Other Memberships 2014/1 - 2015/1 Membership, Statistical Society of Canada 2012/9 - 2014/12 Membership, International Biometric Society 2012/5 - 2014/4 Membership, American Statistical Association

Presentations 1. (2016). Matching Using Dimension Reduction for Causal Inference. CMStatistics, Seville, Spain Invited?: Yes, Keynote?: No 2. (2016). A Kernel-based Approach to Covariate Adjustment for Causal Inference. Statistical Society of Canada Annual Meeting, Brock, Canada Invited?: No, Keynote?: No 3. (2016). A Kernel-Based Approach to Covariate Adjustment for Causal Inference. International Chinese Statistical Association Applied Statistics Symposium, Georgia Invited?: Yes, Keynote?: No 4. (2016). Variable Selection in Causal Inference. Atlantic Causal Inference Conference, New York, United States Invited?: Yes, Keynote?: No

369

Ms. YEYING ZHU 5. (2016). Penalized Regression Procedures for Variable Selection in the Potential Outcomes Framework. Research Seminar at East China Normal University, Shanghai, China Invited?: Yes, Keynote?: Yes 6. (2016). A kernel-based approach to covariate adjustment for causal inference. Research seminar at University of Calgary, Calgary, Canada Invited?: Yes, Keynote?: Yes 7. (2015). Variable Selection in Potential Outcomes Framework. Statistical Society of Canada, Halifax, Canada Invited?: No, Keynote?: No 8. (2015). Penalized regression for variable selection in causal inference. ICSA, Canada Chapter, Calgary, Canada Invited?: Yes, Keynote?: No 9. (2015). Penalized Regression for Variable Selection in Causal Inference. International Chinese Statistical Association-Canada Chapter Symposium, Calgary, Canada Invited?: Yes, Keynote?: No 10. (2014). Causal Inference with Continuous Treatments. ENAR, Baltimore, United States Invited?: Yes, Keynote?: No 11. (2014). A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments. Seminar at University of Guelph, Guelph, Canada Invited?: Yes, Keynote?: No 12. (2014). A Boosting Algorithm for Estimating Generalized Propensity Scores. Statistical Society of Canada, Toronto, Canada Invited?: No, Keynote?: No 13. (2013). Improving Mediation Analysis Based on Propensity Scores. ENAR, Orlando, United States Invited?: No, Keynote?: No 14. (2013). A Data-Adaptive Approach to Modeling Propensity Scores for Inverse Weighted Estimation of Causal Effects. Joint Statistical Meetings, Montreal, Canada Invited?: Yes, Keynote?: No 15. (2012). Mediation Analysis Based on Propensity Scores. Joint Statistical Meetings, San Diego, United States Invited?: No, Keynote?: No 16. (2012). A Comparison of Approaches for Assessing Causal Mediation (Poster). Atlantic Causal Inference Conference, Baltimore, United States Invited?: No, Keynote?: No 17. (2012). A Data-Adaptive Approach for Modeling Propensity Scores. ENAR, Washington DC, United States Invited?: No, Keynote?: No

Publications

Journal Articles

1. Xie, Y.*, Zhu, Y., Cotton, C., Wu, P.(2017). A Model Averaging Approach for Estimating Propensity Scores by Optimizing Balance. Statistical Methods in Medical Research. Accepted Refereed?: Yes 2. Luo, W., Wu, W. and Zhu, Y.(2017). Learning Heterogeneity in Causal Inference Using Sufficient Dimension Reduction. Biometrika. 370 Ms. YEYING ZHU Submitted Refereed?: Yes 3. Luo, W. and Zhu, Y.(2017). Matching Using Sufficient Dimension Reduction for Causal Inference. Journal of Business and Economic Statistics. Revision Requested Refereed?: Yes 4. Xie, Y., Zhu, Y. and Cotton, C.A.(2017). Covariate Balancing by Optimizing Kernel Distance. Biometrics. Submitted Refereed?: Yes 5. Zhu, Y., Savage, J.S., and Ghosh, D.(2017). A Kernel-Based Balance Metric for Causal Inference. Journal of Causal Inference. Revision Requested Refereed?: Yes 6. Luo, W., Zhu, Y. and Ghosh, D.(2017). On Estimating Regression-based Causal Effects Using Sufficient Dimension Reduction. Biometrika. 104(1): 51-65. Published Refereed?: Yes 7. Zhu, Y., Ghosh, D., Coffman, D.L. and Savage, J.S.(2016). Estimating Controlled Direct Effects of Restrictive Feeding Practices: An Application to Early Dieting in Girls Study. Journal of Royal Statistical Society, Series C. 65(1): 115-130. Published Refereed?: Yes 8. Lin, L.* & Zhu, Y.(2016). Causal inference for multi-level treatments with machine-learned propensity scores. Health Service and Outcome Research Methodology. Revision Requested Refereed?: Yes 9. Zhu, Y., Coffman, D. L. and Ghosh, D.(2015). A Boosting Algorithm for Estimating Generalized Propensity Scores with Continuous Treatments. Journal of Causal Inference. 3(1): 25-40. Published Refereed?: Yes 10. Ghosh, D., Zhu, Y. and Coffman, D.L.(2015). Penalized Regression Procedures for Variable Selection in the Potential Outcomes framework. Statistics in Medicine. 34(10): 1645-1658. Published Refereed?: Yes 11. Zhu, Y., Schonbach, M.*, Coffman, D.L. and Williams, J.S.(2015). Variable Selection for Propensity Score Estimation via Balancing Covariates. Epidemiology. 26(2) Published Refereed?: Yes 12. Zhu, Y., Ghosh, D., Mitra, N. and Mukherjee, B.(2014). A Data-Adaptive Strategy for Inverse Weighted Estimation of Causal Effects. Health Services and Outcomes Research Methodology. 14(3): 69-91. Published Refereed?: Yes

371 Ms. YEYING ZHU Book Chapters

1. Coffman, D. L., MacKinnon, D. P., Zhu, Y., & Ghosh, D.(2016). A comparison of potential outcomes approaches for assessing causal mediation. Statistical Causal Inferences and Their Applications in Public Health Research. : 263-294. In Press, Springer Refereed?: Yes 2. Zhu, Y. & Lin, L.*. (2016). Propensity score modeling and evaluation. Statistical Causal Inferences and Their Applications in Public Health Research. : 111-124. In Press, Springer Refereed?: Yes

372 Curriculum Vitae – M. Data Science and Artificial Intelligence and M.Math in Data Science

Appendix A: Graduate Courses Taught by Faculty Members Table 1: A summary of graduate courses (includes course number and course name) taught by faculty members within Data Science and the term in which the course was taught since 2011. The term can be interpreted as follows: X-YY-Z, where X=the 21st century and YY=year. Z can equal 1, 5, or 9, which signify the term in which the course was taught (Winter, Spring, and Fall, respectively). For example, 1179=Fall 2017, 1181=Winter 2018.

First Last Name Course name Course Term Name Machine Learning: Statistical and 1131, 1141, 1151, 1159, CS 685 Computational Foundations 1175, 1181 Introductory Research Topics CS 698 1111 Advanced Research Topics CS 798 1111, 1179 Shai Ben-David 1129, 1139, 1151, 1165, Advanced Topics in Artificial Intelligence CS 886 1181 Advanced Special Topics in Computer CS 898 1175 Science Computational Inference CM 761 1111, 1121, 1151 Statistical Learning - Classification CM 763 1169 Statistical Learning - Function Estimation CM 764 1121, 1131, 1141, 1151 Generalized Linear Models and Applications STAT 831 1169 Computational Inference STAT 840 1111, 1121, 1151 Shoja Chenouri Statistical Learning - Classification STAT 841 1169 Statistical Learning - Function Estimation STAT 844 1121, 1131, 1141, 1151 Sampling Theory and Practice STAT 854 1181 Topics in Statistics STAT 890 1151, 1169 Statistical Inference STAT 908 1121, 1131, 1141 Topics in Probability and Statistics STAT 946 1139, 1171 Thomas Coleman Continuous Optimization CO 666 Gordon Cormack Advanced Topics in Data Bases CS 848 1111, 1169 Computational Inference CM 761 1161 Combinatorial Optimization CO 650 1119, 1159 Integer Programming CO 652 1111, 1171 Ricardo Fukasawa Topics in Discrete Optimization CO 759 1161 Computational Inference STAT 840 1161, 1175 Statistical Learning - Function Estimation STAT 844 1175 Data Visualization CM 762 1149 1119, 1139, 1149, 1159, Statistical Learning - Classification CM 763 1179, 1181 Ali Ghodsi 1119, 1139, 1149, 1159, Statistical Learning - Classification STAT 841 1171, 1179, 1181 Data Visualization STAT 842 1149, 1171

373 Curriculum Vitae – M. Data Science and Artificial Intelligence and M.Math in Data Science

1119, 1135, 1159, 1179, Topics in Probability and Statistics STAT 946 1181 Advanced Research Topics: “Artificial Maura Grossman CS 798 1179 Intelligence: Law, Ethics, and Policy’’ 1111, 1131, 1135, 1159, Introduction to Artificial Intelligence CS 686 1181 Jesse Hoey Health Informatics II: Application Domains CS 793 1111, 1121, 1131 Advanced Topics in Artificial Intelligence CS 886 1141, 1161, 1171 Quantitative Risk Management ACTSC 634 1155 Quantitative Enterprise Risk Management ACTSC 845 1165 Marius Hofert Topics in Actuarial Science ACTSC 991 1155, 1165 Theory of Probability 1 STAT 901 1169 Topics in Probability and Statistics STAT 946 1155, 1165 1141, 1151, 1161, 1171, Database Systems Implementation CS 648 1181 Ihab Ilyas 1141, 1151, 1161, 1171, Advanced Topics in Data Bases CS 848 1181 Combinatorial Optimization CO 650 1179 Jochen Koenemann Topics in Discrete Optimization CO 759 1129 Numeric Computation for Financial CS 676 1131, 1171, 1181 Yuying Li Modelling Advanced Topics in Scientific Computation CS 870 1125 Data-Intensive Distributed Analytics CS 631 1181 Data-Intensive Distributed Computing CS 651 1181 Jimmy Lin Introductory Research Topics CS 698 1161, 1171 Advanced Special Topics in Computer CS 898 1169 Science Computational Inference CM 761 1141, 1171, 1181 Martin Lysy Computational Inference STAT 840 1141, 1171, 1181 Topics in Probability and Statistics STAT 946 1179 1119, 1129, 1139, 1159, Data Visualization CM 762 1169, 1179, 1181 Statistical Learning - Function Estimation CM 764 1161, 1171 Generalized Linear Models and Applications STAT 831 1159 Wayne Oldford 1119, 1129, 1139, 1159, Data Visualization STAT 842 1169, 1179, 1181 Statistical Learning - Function Estimation STAT 844 1161, 1171 Exploratory Data Analysis STAT 847 1181 Topics in Statistics STAT 890 1115, 1121, 1131 Principles of Data Management and Use CS 638 1159, 1169 System and Network Architectures and CS 655 1125, 1129 Implementation Tamer Ozsu Parallel and Distributed Database Systems CS 742 1131 System and Network Architectures and CS 755 1139 Implementation

374 Curriculum Vitae – M. Data Science and Artificial Intelligence and M.Math in Data Science

Advanced Topics in Data Bases CS 848 1151 Computational Linear Algebra CS 675 1165 Machine Learning: Statistical and CS 685 1121, 1161 Computational Foundations 1121, 1129, 1141, 1155, Introduction to Artificial Intelligence CS 686 Pascal Poupart 1175 Introductory Research Topics CS 698 1171, 1181 Probabilistic Inference and Machine CS 786 1125 Learning Advanced Topics in Artificial Intelligence CS 886 1135, 1139 Topics in Combinatorial Optimization: Laura Sanita CO 750 1171, 1181 Approximation Algorithms Approximation Algorithms CO 754 1141 Combinatorial Optimization CO 650 1129, 1139 Statistical Methods for Process 1111, 1121, 1141, 1151, Stefan Steiner STAT 835 Improvement 1161, 1171, 1181 Chaitanya Swamy Topics in Discrete Optimization CO 759 1131, 1155 Fundamentals of Optimization CM 740 1139 Fundamentals of Optimization CO 602 1139 Levent Tuncel Convex Optimization and Analysis CO 663 1139 Semidefinite Optimization CO 671 1115, 1145, 1155, 1175 Topics in Continuous Optimization CO 769 1125, 1171 Introduction to Artificial Intelligence CS 686 1125, 1145, 1165 Peter van Beek Advanced Topics in Artificial Intelligence CS 886 1129 Fundamentals of Optimization CM 740 1129, 1159, 1179 Fundamentals of Optimization CO 602 1129, 1159, 1179 Stephen Vavasis Convex Optimization and Analysis CO 663 1119, 1149 Continuous Optimization CO 666 1169 Topics in Continuous Optimization CO 769 1149 Computational Linear Algebra CS 675 1131, 1145 Justin Wan Advanced Topics in Scientific Computation CS 870 1121, 1139 Fundamentals of Optimization CM 740 1119, 1149, 1169 Fundamentals of Optimization CO 602 1119, 1149, 1169 Henry Wolkowicz Convex Optimization and Analysis CO 663 1129, 1159, 1171, 1181 Continuous Optimization CO 666 1121 Topics in Continuous Optimization CO 769 1131, 1161 Statistics for Actuarial Science ACTSC 613 1159, 1169, 1179 Mu Zhu Statistical Concepts for Data Science STAT 845 1179 Topics in Probability and Statistics STAT 946 1129, 1151 Introductory Research Topics CS 698 1179 Advanced Research Topics CS 798 1169 Yeying Zhu Statistical Methods for the Design and 1139, 1149, 1159, 1169, STAT 931 Analysis of Epidemiological Studies 1179

375 Curriculum Vitae – M. Data Science and Artificial Intelligence and M.Math in Data Science

376

GRADUATE PROGRAM PROPOSAL OF MASTER OF DATA SCIENCE AND ARTIFICIAL INTELLIGENCE AND MASTER OF MATHEMATICS IN DATA SCIENCE

Submitted to the Ontario Universities Council on Quality Assurance

VOLUME III – EXTERNAL REVIEWERS

SEPTEMBER/2018

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 2

PROPOSED REVIEWERS TABLE OF CONTENTS

ONTARIO

STAFFORD, Jamie ...... 3

REID, Nancy ...... 4

FLEET, David ...... 5

DEZA, Antoine ...... 6

GREEN, Mark ...... 7

OUTSIDE ONTARIO

MATWIN, Stan ...... 8

NASCIMENTO, Mario… ...... 9

CLEVELAND, Bill ...... 10

STUETZLE, Werner ...... 11

LODI, Andrea ...... 12

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 3

1. NAME OF PROPOSED REVIEWER:

STAFFORD, Jamie

2. RANK: Professor

3. INSTITUTION: Department of Statistical Sciences University of Toronto Sidney Smith Hall, 6th floor 100 St. George Street Toronto, Ontario M5S 3G3 Canada Phone: +1 416-978-5709 Fax: +1 416-978-5133 Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD University of Toronto Statistics 1992

5. Please attach a Biography or information from website for each reviewer.

Professor Jamie Stafford has been Chair of the Department of Statistical Sciences at the University of Toronto from 2008 to 2018. He was Director of the National Institute for Complex Data Structures (affiliated with the Fields Institute) from 2003 to 2009.

http://www.utstat.toronto.edu/stafford/ http://www.dlsph.utoronto.ca/faculty-profile/stafford-jamie/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 4

1. NAME OF PROPOSED REVIEWER:

Reid, Nancy

2. RANK: Professor

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD Stanford University Statistics 1979

5. Please attach a Biography or information from website for each reviewer.

Professor Nancy Reid has been Chair of the Department Statistical Sciences at the University of Toronto from 1997 2002, and currently serves as Director of the Canadian Statistical Sciences Institute (CANSSI). She holds a Canada Research Chair in Statistical Theory and Applications. She has received numerous awards and honors over her career, including an Honoris Causa Doctorate in Mathematics from the University of Waterloo (where she obtained a BMath in 1974 ), and she is also a Fellow of the Royal Society of Canada. http://www.utstat.utoronto.ca/reid/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 5

1. NAME OF PROPOSED REVIEWER:

FLEET, David

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Department of Computer Science University of Toronto 6 King's College Rd, Pratt Building, Rm. 391 Toronto, Canada M5S 3H5 Phone: 416 946 8485 Fax: 416 978 1455 Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD University of Toronto Computer Science 1990

5. Please attach a Biography or information from website for each reviewer.

David Fleet is a Professor of Computer Science at the University of Toronto. In addition to his appointment at the university, he is also a Senior Fellow of the Canadian Institute for Advanced Research (CIFAR) and a Faculty Member of the Vector Institute . He has served as Chair of the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough for the period 2013-2018.

http://www.cs.toronto.edu/~fleet/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 6

1. NAME OF PROPOSED REVIEWER:

DEZA, Antoine

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Department of Computing and Software Faculty of Engineering McMaster University

1280 Main Street West Hamilton, Ontario L8S 4K1, Canada Tel.: +1-905-525-9140 ext. 23750 Fax: 905-522-0935 E-mail: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD Tokyo Institute of Technology Combinatorial Optimization 1996

5. Please attach a Biography or information from website for each reviewer.

Antoine Deza is a Fellow of the Fields Institute. He was the Canada Research Chair in Combinatorial Optimization (2004-2014), and the Digiteo Chair in Combinatorics and Optimization (2013-2017). He was Associate Chair of Graduate Studies in the Department of Computing and Software at McMaster from 2009 to 2015. http://www.cas.mcmaster.ca/~deza/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 7

1. NAME OF PROPOSED REVIEWER:

GREEN, Mark

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Faculty of Science University of Ontario Institute of Technology 2000 Simcoe Street North Oshawa, Ontario, Canada L1G 0C5 Phone: 905-721-8668 ext 2655 Fax: 905-721-3304 Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD University of Toronto Computer Science 1985

5. Please attach a Biography or information from website for each reviewer.

Mark Green has been Associate Dean for the Faculty of Science (University of Ontario Institute of Technology) from 2012 to 2018. From his website: “Over my career I have worked in many different areas including aspects of computer graphics, user interfaces, sofware engineering and computer security. I established the first Virtual Reality (VR) laboratory in Canada while I was at the University of Alberta in 1986. This laboratory had the first HMD in Canada along with the first CAVE. We also developed the first open source VR package; the MR Toolkit that was distributed to several thousand researchers world wide.”

http://graphics.science.uoit.ca/mark/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 8

1. NAME OF PROPOSED REVIEWER:

MATWIN, Stan

2. RANK:

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Faculty of Computer Science Dalhousie University 6050 University Ave. P.O. Box 15000 Halifax Nova Scotia B3H 4R2, Canada. Telephone: (902) 494 4320 Fax: (902) 492 1517 E-mail: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

Ph.D. Warsaw University Computer Science 1977

5. Please attach a Biography or information from website for each reviewer.

From his website: “I am a Canada Research Chair (Tier 1) at the Faculty of Computer Science, Dalhousie University, and the Director of the Institute for Big Data Analytics. I am also Emeritus Distinguished Professor of Computer Science at the University of Ottawa, and a Professor in the Institute of Computer Science of the Polish Academy of Sciences.” https://web.cs.dal.ca/~stan/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 9

1. NAME OF PROPOSED REVIEWER:

NASCIMENTO, Mario

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Department of Computing Science 2-32 Athabasca Hall University of Alberta Edmonton, Alberta Canada T6G 2E8 Phone: (780) 492-5678 Fax: 1 (780) 492-6393 Email: [email protected]; [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD Southern Methodist University Computer Science 1996

5. Please attach a Biography or information from website for each reviewer.

From his website: “Mario A. Nascimento is a Full Professor at (and since July/2014 serves as Chair of) the University of Alberta's Department of Computing Science. (…) According to Google Scholar (as of July/2015) his publications have been cited 2,750+ times, earning him an H-index of 27. His main research interests lie in the areas of Spatio-Temporal Data Management and Data Management for Wireless Sensor Networks.” https://www.ualberta.ca/science/about-us/contact-us/faculty-directory/mario-nascimento

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 10

1. NAME OF PROPOSED REVIEWER:

CLEVELAND, Bill

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

DEPARTMENT OF STATISTICS, PURDUE 250 N. UNIVERSITY STREET WEST LAFAYETTE, IN 47907, USA Phone: 773-402-9625 Fax: Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD Yale University Statistics 1969

5. Please attach a Biography or information from website for each reviewer.

From his website: “William S. Cleveland has been the Shanti S. Gupta Distinguished Professor of Statistics and Courtesy Professor of Computer Science at Purdue University since 1/1/2014. Previous to this, he was a Distinguished Member of Technical Staff in the Statistics Research Department at Bell Labs, Murray Hill; for 12 years he was the Department Head.” He is known to have coined the term “Data Science”. Again, from his website: “In a talk at the 1999 meeting of the International Statistical Institute and in a 2001 paper, number [25] in the list of publications in the above PDF, Cleveland defined data science as it is used today. It had been used before, but with different meanings. See the Wikipedia Web page Data Science.” Among his numerous awards and recognitions, in 2016 he received the Lifetime Achievement Award for Graphics and Computing from the American Statistical Association, the first since 2010. “

http://www.stat.purdue.edu/~wsc/

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 11

1. NAME OF PROPOSED REVIEWER:

STUETZLE, Werner

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Department of Statistics Box 354322 University of Washington Seattle, WA 98195-4322 Phone: 206-543-5169 Fax: Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD ETH Zurich Mathematics 1977

5. Please attach a Biography or information from website for each reviewer.

Werner Stuetzle has been Department Chair of Statistics from 1994 to 2002 and currently serves as Divisional Dean of Natural Sciences at the University of Washington since 2006.

https://www.stat.washington.edu/person/werner-stuetzle

External Reviewers – M. Data Science and Artificial Intelligence and M.Math in Data Science 12

1. NAME OF PROPOSED REVIEWER:

LODI, Andrea

2. RANK: Professor

3. INSTITUTION: (include mailing address, telephone and fax numbers and E-mail address)

Department of Mathematical and Industrial Engineering, Polytechnique Montréal P.O. Box 6079, Station Centre-Ville Montréal (Québec) Canada, H3C 3A7 Phone: 514 340-4711 x3319 Fax: (514) 340-4086 Email: [email protected]

4. DEGREES UNIVERSITY DISCIPLINE DATE

PhD University of Bologna System Engineering 1999

5. Please attach a Biography or information from website for each reviewer.

From his website: “Dr. Andrea Lodi is a leading international researcher in mixed linear and nonlinear programming. As Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal, he holds Canada’s main chair in operations research. Lodi’s innovative work has earned him several awards, including the Google Faculty Research Award in 2010 and the IBM Faculty Award in 2011. In 2005 and 2006, he was a fellow in the prestigious Herman Goldstine program at the IBM Thomas J. Watson Research Center in New York.”

https://www.gerad.ca/en/people/andrea-lodi

http://www.cerc.gc.ca/chairholders-titulaires/lodi-eng.aspx