Ananth Grama
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Ananth Grama Samuel D. Conte Professor of Computer Sciences, Associate Director, Center for Science of Information, a Science and Technology Center of the National Sci- ence Foundation 305, N. University Street, Computer Sciences Building, Purdue University, W. Lafayette, IN 47907. http://www.cs.purdue.edu/people/ayg, [email protected] Phone: 765 494 6964, FAX: 765 494 0739. Education • Ph.D., Computer Science, University of Minnesota, Minneapolis, MN, May 1996. • M.S., Computer Engineering, Wayne State University, Detroit, MI, July 1990. • B. Engg., Computer Science, Indian Institute of Technology (IIT), Roorkee, India, July 1989. Employment History • Samuel D. Conte Professor, Department of Computer Science, Purdue University, W. Lafayette, IN, Aug. 2017 - . • Associate Director, Center for Science of Information, 2010 - , a Science and Technology Center of the National Science Foundation. • Director, Computational Science and Engineering and Computational Life Sciences Programs, Purdue University, W. Lafayette, IN, June 2012 - 16. • Associate Director, Center for Prediction of Reliability, Integrity, and Survivability of Microsystems, a National Nuclear Security Administration/ Department of Energy Center, 2009 - 2014. • Professor, Department of Computer Science, Purdue University, W. Lafayette, IN, Aug. 2006 - . • University Faculty Scholar, Purdue University, W. Lafayette, IN, Aug 2002 - July 2007. • Associate Professor, Department of Computer Science, Purdue University, W. Lafayette, IN, Aug. 2001 - July 2006. • Assistant Professor, Department of Computer Science, Purdue University, W. Lafayette, IN, Aug. 1996 - July 2001. • Assistant Professor, Department of Computer Science, University of Minnesota, Minneapolis, MN, June 1996 - Aug. 1996. • Visiting Research Scientist, Hewlett Packard Labs, Palo Alto, CA, June 1994 to Nov 1994. Awards and Honors • Distinguished Research Award, Purdue University School of Science, 2017. • Distinguished Alumnus Award, Department of Computer Science, University of Minnesota, 2015. • Fellow, American Association for Advancement of Sciences (AAAS), 2013. • Purdue University Most In¯uential Professor in Computer Science, 2010. 1 • Purdue University Scholar, 2002. • Purdue University School of Science Outstanding Teacher Award, 2002. • National Science Foundation CAREER Award, 1998±2002. • Purdue University School of Science Outstanding Assistant Professor, 1999. • Doctoral Dissertation Fellowship, Graduate School of the University of Minnesota, 1995-96. • Doctoral Dissertation Award, Department of Computer Science, University of Minnesota, 1994. • Vice-Chancellors Gold Medal for best overall grades among all engineering majors at the Indian Insti- tute of Technology, Roorkee, India, 1989. • Vice-Chancellors Gold Medal for best engineering design project titled ªLoad Balancing in LANsº, In- dian Institute of Technology, Roorkee, India, 1989. Professional/ Scholarly Service • Chair, Biodata Management and Analysis (BDMA) Study Section, National Institutes of Health. • Editorial Boards: Parallel Computing, IEEE Trans. Parallel and Distributed Computing, Journal of Par- allel and Distributed Computing, IEEE Transactions on Big Data, IEEE Trans. Molecular, Biological, and Multiscale Communications, PLoS ONE. • Member, American Association for Advancement of Sciences, Sigma Xi. • Large number of Program Committees of Premier Conferences in High Performance Computing, Com- putational Biology and Bioinformatics, Scienti®c Computing, and Data Mining. Postdoctoral Scholars and Students Current Ph.D. Students: Bing Yuan, Chih Hao Fang, Vikram Ravindra, Fatemah Rouzbeh, Ashraf Maghoub. Graduated Ph.D. Students (last-known af®liation): Sudhir Kylasa (Purdue), Xuejiao Kang (Facebook), Shahin Mohammadi (MIT), Karthik Khambatla (Cloud- era Inc.), Naresh Rapolu (Google Inc.), Anmer Daskin (Istanbul Medeniyet University), Hasan Metin Ak- tulga (Michigan State University), Murat Manguoglu (Middle-East Technical University, Ankara), Asad Awan (Google Inc.), Ramanathan Muralikrishna (Uber Inc.), Ronaldo Ferreira (Federal University of Mato Grosso do Sul, Brasil), Mehmet Koyuturk (Case Western Reserve University), Ioannis Ioannidis (Qnective Inc., Switzerland), Bogdan Carbunar (Florida International University). Past Post-Doctoral Researchers (last-known af®liation): George Kollias (IBM Research), Sagar Pandit (University of South Florida), Mehmet Koyuturk (Case West- ern Reserve University), Eric Polizzi (University of Massachussetts, Amherst), Pucha Raghuram (Georgia Tech.). 2 Publications Books 1. Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar, Introduction to Parallel Comput- ing, Addison Wesley, 2003 (ISBN: 0-201-64865-2) http://www.aw.com/catalog/academic/ product/1,4096,0201648652,00.html. (Note: Chinese translation available through the China Machine Press. Southeast Asian Edition available through Pearson Education Asia, Chinese (english) Edition available through China Machine Press.) 2. Vipin Kumar, Ananth Grama, Anshul Gupta, and George Karypis, Introduction to Parallel Computing: Design and Analysis of Algorithms. Benjamin Cummings/ Addison Wesley (ISBN 0-8053-3170-0), 600 pp, Redwod City, 1994. Edited Volumes/ Proceedings 1. Ananth Grama and Ahmed Sameh (Editors), Parallel Algorithms in Computational Science and Engi- neering, Springer Nature, (2020). 2. Mehmet Koyuturk, Shankar Subramaniam, and Ananth Grama (Editors), Functional Coherence of Molecular Networks in Bioinformatics, ISBN-13: 9781461403197 Springer, (2011). 3. Michael Berry, Kyle Gallivan, Efstratios Gallopoulos, Ananth Grama, Bernard Philippe, Yousef Saad, and Faisal Saied (Editors), High Performance Scienti®c Computing: Algorithms and Applications, DOI 10, 1007/978-1-4471-2437-5, Springer, (2012). Journal Articles 1. EM Kontopoulou, GP Dexter, W Szpankowski, A Grama, P Drineas, Randomized linear algebra ap- proaches to estimate the von neumann entropy of density matrices, IEEE Transactions on Information Theory, 2020 (to appear). 2. K Kambatla, V Yarlagadda, I Goiri, A Grama, Optimistic Scheduling with Service Guarantees, Journal of Parallel and Distributed Computing, 135, 246-258, 2020. 3. T Cowman, M Coskun, A Grama, M Koyuturk, Integrated querying and version control of context- speci®c biological networks, Database, 2020 (to appear). 4. C Fang, N Theera-Ampornpunt, M Roth, A Grama, and S Chaterji, AIKYATAN: mapping distal regula- tory elements using convolutional learning on GPU, BMC Bioinformatics, 20 (1), 488, 2019. 5. Jithin Sreetharan, Abram Magner, Wojciech Szpankowski, and Ananth Grama, Inferring Temporal In- formation from a Snapshot of a Dynamic Network, Nature Scienti®c Reports, 9 (1), 3057, 2019. 6. Asish Ghoshal, Jinyi Zhang, Michael Roth, Kevin Xia, Ananth Grama, Saurabh Bagchi, and Somali Chaterji, A Distributed Kernel SVM Algorithm for Predicting Non-Canonical MicroRNA Targets and Ver- i®ed Using TCGA-Derived Expression Data, IEEE/ACM Trans. Computational Biology and Bioinfor- matics, 15(4), 2018. 7. Shahin Mohammadi, Vikram Ravindra, David Gleich, and Ananth Grama, DECODE-ing sparsity pat- terns in single-cell RNA-seq, Nature Communications, 9,1516, 2018. 8. Wojciech Szpankowski and Ananth Grama, Frontiers of Science of Information: Shannon Meets Tur- ing, IEEE Computer, 51(1): 28-38, Cover Feature, 2018. 3 9. Naresh Rapolu, Srimat Chakradhar, Ananth Grama, VAYU: Accelerating stream processing applica- tions through dynamic network-aware topology re-optimization, J. Parallel Distrib. Comput., 111: 13- 23, 2018. 10. Shahin Mohammadi, David Gleich, Tamara Kolda, and Ananth Grama, Triangular Alignment (TAME): A Tensor-Based Approach for Higher Order Network Alignment, IEEE/ACM Trans. Computational Bi- ology and Bioinformatics, Volume: 14, Issue: 6, Nov.-Dec. 1 2017 11. Folker Meyer, Saurabh Bagchi, Somali Chaterji, Wolfgang Gerlach, Ananth Grama, Travis Harrison, Tobias Paczian, Will Trimble, Andreas Wilke, MG-RAST Version 4 ± Lessons learned from a decade of low-budget ultra-high throughput metagenome analysis, Brie®ngs in Bioinformatics, bbx105, Sept. 2017. 12. Somali Chaterji,Jinkyu Koo,Ninghui Li, Folker Meyer, Ananth Grama, and Saurabh Bagchi, Federation in Genomics Pipelines: Techniques and Challenges, Brie®ngs in Bioinformatics, bbx102, August 2017. 13. Shahin Mohammadi, Neta S. Zuckerman, Andrea Goldsmith, Ananth Grama: A Critical Survey of De- convolution Methods for Separating Cell Types in Complex Tissues. Proceedings of the IEEE 105(2): 340-366 (2017). 14. Yao Zhu, David F. Gleich, Ananth Grama: Erasure Coding for Fault-Oblivious Linear System Solvers. SIAM J. Scienti®c Computing 39(1) (2017). 15. Sudhir B. Kylasa, Hasan Metin Aktulga, Ananth Y. Grama: Reactive Molecular Dynamics on Massively Parallel Heterogeneous Architectures. IEEE Trans. Parallel Distrib. Syst. 28(1): 202-214 (2017). 16. Seong Kim, Mrudul Harwani, Ananth Grama, and Somali Chaterji, EP-DNN: A Deep Neural Network- Based Global Enhancer Prediction Algorithm, Nature Scienti®c Reports, 6, Article number: 38433 (2016). 17. Abram Magner, Jaroslaw Duda, Wojciech Szpankowski, Ananth Grama: Fundamental Bounds for Se- quence Reconstruction From Nanopore Sequencers. IEEE Trans. Molecular, Biological, and Multi- scale Communication, 2(1): 92-106 (2016). 18. Sudhir Kylasa, Giorgos Kollias, and Ananth Grama, Social ties and checkin sites: Connections and latent structures in Location Based Social Networks, Social Network Analysis and Mining, 6(1): 95:1- 95:14, 2016. 19. Seong Gon Kim, Nawanol Theera-Ampornpunt, Chih-Hao Fang, Mrudul