Annual Report of the ACM Awards Committee July 1, 2019 - June 30, 2020 List of Award Committee Members and Terms of Office
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Tarjan Transcript Final with Timestamps
A.M. Turing Award Oral History Interview with Robert (Bob) Endre Tarjan by Roy Levin San Mateo, California July 12, 2017 Levin: My name is Roy Levin. Today is July 12th, 2017, and I’m in San Mateo, California at the home of Robert Tarjan, where I’ll be interviewing him for the ACM Turing Award Winners project. Good afternoon, Bob, and thanks for spending the time to talk to me today. Tarjan: You’re welcome. Levin: I’d like to start by talking about your early technical interests and where they came from. When do you first recall being interested in what we might call technical things? Tarjan: Well, the first thing I would say in that direction is my mom took me to the public library in Pomona, where I grew up, which opened up a huge world to me. I started reading science fiction books and stories. Originally, I wanted to be the first person on Mars, that was what I was thinking, and I got interested in astronomy, started reading a lot of science stuff. I got to junior high school and I had an amazing math teacher. His name was Mr. Wall. I had him two years, in the eighth and ninth grade. He was teaching the New Math to us before there was such a thing as “New Math.” He taught us Peano’s axioms and things like that. It was a wonderful thing for a kid like me who was really excited about science and mathematics and so on. The other thing that happened was I discovered Scientific American in the public library and started reading Martin Gardner’s columns on mathematical games and was completely fascinated. -
BIOINFORMATICS Doi:10.1093/Bioinformatics/Bti144
Vol. 00 no. 0 2004, pages 1–11 BIOINFORMATICS doi:10.1093/bioinformatics/bti144 Solving and analyzing side-chain positioning problems using linear and integer programming Carleton L. Kingsford, Bernard Chazelle and Mona Singh∗ Department of Computer Science, Lewis-Sigler Institute for Integrative Genomics, Princeton University, 35, Olden Street, Princeton, NJ 08544, USA Received on August 1, 2004; revised on October 10, 2004; accepted on November 8, 2004 Advance Access publication … ABSTRACT set of possible rotamer choices (Ponder and Richards, 1987; Motivation: Side-chain positioning is a central component of Dunbrack and Karplus, 1993) for each Cα position on the homology modeling and protein design. In a common for- backbone. The goal is to choose a rotamer for each position mulation of the problem, the backbone is fixed, side-chain so that the total energy of the molecule is minimized. This conformations come from a rotamer library, and a pairwise formulation of SCP has been the basis of some of the more energy function is optimized. It is NP-complete to find even a successful methods for homology modeling (e.g. Petrey et al., reasonable approximate solution to this problem. We seek to 2003; Xiang and Honig, 2001; Jones and Kleywegt, 1999; put this hardness result into practical context. Bower et al., 1997) and protein design (e.g. Dahiyat and Mayo, Results: We present an integer linear programming (ILP) 1997; Malakauskas and Mayo, 1998; Looger et al., 2003). In formulation of side-chain positioning that allows us to tackle homology modeling, the goal is to predict the structure for a large problem sizes. -
Communications of the Acm
COMMUNICATIONS CACM.ACM.ORG OF THEACM 11/2014 VOL.57 NO.11 Scene Understanding by Labeling Pixels Evolution of the Product Manager The Data on Diversity On Facebook, Most Ties Are Weak Keeping Online Reviews Honest Association for Computing Machinery tvx-full-page.pdf-newest.pdf 1 11/10/2013 12:03 3-5 JUNE, 2015 BRUSSELS, BELGIUM Course and Workshop C proposals by M 15 November 2014 Y CM Paper Submissions by MY 12 January 2015 CY CMY K Work in Progress, Demos, DC, & Industrial Submissions by 2 March 2015 Welcoming Submissions on Content Production Systems & Infrastructures Devices & Interaction Techniques Experience Design & Evaluation Media Studies Data Science & Recommendations Business Models & Marketing Innovative Concepts & Media Art TVX2015.COM [email protected] ACM Books M MORGAN& CLAYPOOL &C PUBLISHERS Publish your next book in the ACM Digital Library ACM Books is a new series of advanced level books for the computer science community, published by ACM in collaboration with Morgan & Claypool Publishers. I’m pleased that ACM Books is directed by a volunteer organization headed by a dynamic, informed, energetic, visionary Editor-in-Chief (Tamer Özsu), working closely with a forward-looking publisher (Morgan and Claypool). —Richard Snodgrass, University of Arizona books.acm.org ACM Books ◆ will include books from across the entire spectrum of computer science subject matter and will appeal to computing practitioners, researchers, educators, and students. ◆ will publish graduate level texts; research monographs/overviews of established and emerging fields; practitioner-level professional books; and books devoted to the history and social impact of computing. ◆ will be quickly and attractively published as ebooks and print volumes at affordable prices, and widely distributed in both print and digital formats through booksellers and to libraries and individual ACM members via the ACM Digital Library platform. -
UNIVERSITY of CALIFORNIA RIVERSIDE Unsupervised And
UNIVERSITY OF CALIFORNIA RIVERSIDE Unsupervised and Zero-Shot Learning for Open-Domain Natural Language Processing A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science by Muhammad Abu Bakar Siddique June 2021 Dissertation Committee: Dr. Evangelos Christidis, Chairperson Dr. Amr Magdy Ahmed Dr. Samet Oymak Dr. Evangelos Papalexakis Copyright by Muhammad Abu Bakar Siddique 2021 The Dissertation of Muhammad Abu Bakar Siddique is approved: Committee Chairperson University of California, Riverside To my family for their unconditional love and support. i ABSTRACT OF THE DISSERTATION Unsupervised and Zero-Shot Learning for Open-Domain Natural Language Processing by Muhammad Abu Bakar Siddique Doctor of Philosophy, Graduate Program in Computer Science University of California, Riverside, June 2021 Dr. Evangelos Christidis, Chairperson Natural Language Processing (NLP) has yielded results that were unimaginable only a few years ago on a wide range of real-world tasks, thanks to deep neural networks and the availability of large-scale labeled training datasets. However, existing supervised methods assume an unscalable requirement that labeled training data is available for all classes: the acquisition of such data is prohibitively laborious and expensive. Therefore, zero-shot (or unsupervised) models that can seamlessly adapt to new unseen classes are indispensable for NLP methods to work in real-world applications effectively; such models mitigate (or eliminate) the need for collecting and annotating data for each domain. This dissertation ad- dresses three critical NLP problems in contexts where training data is scarce (or unavailable): intent detection, slot filling, and paraphrasing. Having reliable solutions for the mentioned problems in the open-domain setting pushes the frontiers of NLP a step towards practical conversational AI systems. -
Here I Led Subcommittee Reports Related to Data-Intensive Science and Post-Moore Computing) and in CRA’S Board of Directors Since 2015
Vivek Sarkar Curriculum Vitae Contents 1 Summary 2 2 Education 3 3 Professional Experience 3 3.1 2017-present: College of Computing, Georgia Institute of Technology . 3 3.2 2007-present: Department of Computer Science, Rice University . 5 3.3 1987-2007: International Business Machines Corporation . 7 4 Professional Awards 11 5 Research Awards 12 6 Industry Gifts 15 7 Graduate Student and Other Mentoring 17 8 Professional Service 19 8.1 Conference Committees . 20 8.2 Advisory/Award/Review/Steering Committees . 25 9 Keynote Talks, Invited Talks, Panels (Selected) 27 10 Teaching 33 11 Publications 37 11.1 Refereed Conference and Journal Publications . 37 11.2 Refereed Workshop Publications . 51 11.3 Books, Book Chapters, and Edited Volumes . 58 12 Patents 58 13 Software Artifacts (Selected) 59 14 Personal Information 60 Page 1 of 60 01/06/2020 1 Summary Over thirty years of sustained contributions to programming models, compilers and runtime systems for high performance computing, which include: 1) Leading the development of ASTI during 1991{1996, IBM's first product compiler component for optimizing locality, parallelism, and the (then) new FORTRAN 90 high-productivity array language (ASTI has continued to ship as part of IBM's XL Fortran product compilers since 1996, and was also used as the foundation for IBM's High Performance Fortran compiler product); 2) Leading the research and development of the open source Jikes Research Virtual Machine at IBM during 1998{2001, a first-of-a-kind Java Virtual Machine (JVM) and dynamic compiler implemented -
BIOGRAPHICAL SKETCH NAME: Berger
BIOGRAPHICAL SKETCH NAME: Berger, Bonnie eRA COMMONS USER NAME (credential, e.g., agency login): BABERGER POSITION TITLE: Simons Professor of Mathematics and Professor of Electrical Engineering and Computer Science EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.) EDUCATION/TRAINING DEGREE Completion (if Date FIELD OF STUDY INSTITUTION AND LOCATION applicable) MM/YYYY Brandeis University, Waltham, MA AB 06/1983 Computer Science Massachusetts Institute of Technology SM 01/1986 Computer Science Massachusetts Institute of Technology Ph.D. 06/1990 Computer Science Massachusetts Institute of Technology Postdoc 06/1992 Applied Mathematics A. Personal Statement Advances in modern biology revolve around automated data collection and sharing of the large resulting datasets. I am considered a pioneer in the area of bringing computer algorithms to the study of biological data, and a founder in this community that I have witnessed grow so profoundly over the last 26 years. I have made major contributions to many areas of computational biology and biomedicine, largely, though not exclusively through algorithmic innovations, as demonstrated by nearly twenty thousand citations to my scientific papers and widely-used software. In recognition of my success, I have just been elected to the National Academy of Sciences and in 2019 received the ISCB Senior Scientist Award, the pinnacle award in computational biology. My research group works on diverse challenges, including Computational Genomics, High-throughput Technology Analysis and Design, Biological Networks, Structural Bioinformatics, Population Genetics and Biomedical Privacy. I spearheaded research on analyzing large and complex biological data sets through topological and machine learning approaches; e.g. -
Annual Report
ANNUAL REPORT 2019FISCAL YEAR ACM, the Association for Computing Machinery, is an international scientific and educational organization dedicated to advancing the arts, sciences, and applications of information technology. Letter from the President It’s been quite an eventful year and challenges posed by evolving technology. for ACM. While this annual Education has always been at the foundation of exercise allows us a moment ACM, as reflected in two recent curriculum efforts. First, “ACM’s mission to celebrate some of the many the ACM Task Force on Data Science issued “Comput- hinges on successes and achievements ing Competencies for Undergraduate Data Science Cur- creating a the Association has realized ricula.” The guidelines lay out the computing-specific over the past year, it is also an competencies that should be included when other community that opportunity to focus on new academic departments offer programs in data science encompasses and innovative ways to ensure at the undergraduate level. Second, building on the all who work in ACM remains a vibrant global success of our recent guidelines for 4-year cybersecu- the computing resource for the computing community. rity curricula, the ACM Committee for Computing Edu- ACM’s mission hinges on creating a community cation in Community Colleges created a related cur- and technology that encompasses all who work in the computing and riculum targeted at two-year programs, “Cybersecurity arena” technology arena. This year, ACM established a new Di- Curricular Guidance for Associate-Degree Programs.” versity and Inclusion Council to identify ways to create The following pages offer a sampling of the many environments that are welcoming to new perspectives ACM events and accomplishments that occurred over and will attract an even broader membership from the past fiscal year, none of which would have been around the world. -
Diffie and Hellman Receive 2015 Turing Award Rod Searcey/Stanford University
Diffie and Hellman Receive 2015 Turing Award Rod Searcey/Stanford University. Linda A. Cicero/Stanford News Service. Whitfield Diffie Martin E. Hellman ernment–private sector relations, and attracts billions of Whitfield Diffie, former chief security officer of Sun Mi- dollars in research and development,” said ACM President crosystems, and Martin E. Hellman, professor emeritus Alexander L. Wolf. “In 1976, Diffie and Hellman imagined of electrical engineering at Stanford University, have been a future where people would regularly communicate awarded the 2015 A. M. Turing Award of the Association through electronic networks and be vulnerable to having for Computing Machinery for their critical contributions their communications stolen or altered. Now, after nearly to modern cryptography. forty years, we see that their forecasts were remarkably Citation prescient.” The ability for two parties to use encryption to commu- “Public-key cryptography is fundamental for our indus- nicate privately over an otherwise insecure channel is try,” said Andrei Broder, Google Distinguished Scientist. fundamental for billions of people around the world. On “The ability to protect private data rests on protocols for a daily basis, individuals establish secure online connec- confirming an owner’s identity and for ensuring the integ- tions with banks, e-commerce sites, email servers, and the rity and confidentiality of communications. These widely cloud. Diffie and Hellman’s groundbreaking 1976 paper, used protocols were made possible through the ideas and “New Directions in Cryptography,” introduced the ideas of methods pioneered by Diffie and Hellman.” public-key cryptography and digital signatures, which are Cryptography is a practice that facilitates communi- the foundation for most regularly used security protocols cation between two parties so that the communication on the Internet today. -
Curriculum Vitae
Massachusetts Institute of Technology School of Engineering Faculty Personnel Record Date: April 1, 2020 Full Name: Charles E. Leiserson Department: Electrical Engineering and Computer Science 1. Date of Birth November 10, 1953 2. Citizenship U.S.A. 3. Education School Degree Date Yale University B. S. (cum laude) May 1975 Carnegie-Mellon University Ph.D. Dec. 1981 4. Title of Thesis for Most Advanced Degree Area-Efficient VLSI Computation 5. Principal Fields of Interest Analysis of algorithms Caching Compilers and runtime systems Computer chess Computer-aided design Computer network architecture Digital hardware and computing machinery Distance education and interaction Fast artificial intelligence Leadership skills for engineering and science faculty Multicore computing Parallel algorithms, architectures, and languages Parallel and distributed computing Performance engineering Scalable computing systems Software performance engineering Supercomputing Theoretical computer science MIT School of Engineering Faculty Personnel Record — Charles E. Leiserson 2 6. Non-MIT Experience Position Date Founder, Chairman of the Board, and Chief Technology Officer, Cilk Arts, 2006 – 2009 Burlington, Massachusetts Director of System Architecture, Akamai Technologies, Cambridge, 1999 – 2001 Massachusetts Shaw Visiting Professor, National University of Singapore, Republic of 1995 – 1996 Singapore Network Architect for Connection Machine Model CM-5 Supercomputer, 1989 – 1990 Thinking Machines Programmer, Computervision Corporation, Bedford, Massachusetts 1975 -
ABSTRACT HISTORICAL GRAPH DATA MANAGEMENT Udayan
ABSTRACT Title of dissertation: HISTORICAL GRAPH DATA MANAGEMENT Udayan Khurana, Doctor of Philosophy, 2015 Dissertation directed by: Professor Amol Deshpande Department of Computer Science Over the last decade, we have witnessed an increasing interest in temporal analysis of information networks such as social networks or citation networks. Finding temporal interaction patterns, visualizing the evolution of graph properties, or even simply com- paring them across time, has proven to add significant value in reasoning over networks. However, because of the lack of underlying data management support, much of the work on large-scale graph analytics to date has largely focused on the study of static properties of graph snapshots. Unfortunately, a static view of interactions between entities is often an oversimplification of several complex phenomena like the spread of epidemics, informa- tion diffusion, formation of online communities, and so on. In the absence of appropriate support, an analyst today has to manually navigate the added temporal complexity of large evolving graphs, making the process cumbersome and ineffective. In this dissertation, I address the key challenges in storing, retrieving, and analyzing large historical graphs. In the first part, I present DeltaGraph, a novel, extensible, highly tunable, and distributed hierarchical index structure that enables compact recording of the historical information, and that supports efficient retrieval of historical graph snapshots. I present analytical models for estimating required storage space and snapshot retrieval times which aid in choosing the right parameters for a specific scenario. I also present optimizations such as partial materialization and columnar storage to speed up snapshot retrieval. In the second part, I present Temporal Graph Index that builds upon DeltaGraph to support version-centric retrieval such as a node’s 1-hop neighborhood history, along with snapshot reconstruction. -
University of California Santa Cruz Sample
UNIVERSITY OF CALIFORNIA SANTA CRUZ SAMPLE-SPECIFIC CANCER PATHWAY ANALYSIS USING PARADIGM A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in BIOMOLECULAR ENGINEERING AND BIOINFORMATICS by Stephen C. Benz June 2012 The Dissertation of Stephen C. Benz is approved: Professor David Haussler, Chair Professor Joshua Stuart Professor Nader Pourmand Dean Tyrus Miller Vice Provost and Dean of Graduate Studies Copyright c by Stephen C. Benz 2012 Table of Contents List of Figures v List of Tables xi Abstract xii Dedication xiv Acknowledgments xv 1 Introduction 1 1.1 Identifying Genomic Alterations . 2 1.2 Pathway Analysis . 5 2 Methods to Integrate Cancer Genomics Data 10 2.1 UCSC Cancer Genomics Browser . 11 2.2 BioIntegrator . 16 3 Pathway Analysis Using PARADIGM 20 3.1 Method . 21 3.2 Comparisons . 26 3.2.1 Distinguishing True Networks From Decoys . 27 3.2.2 Tumor versus Normal - Pathways associated with Ovarian Cancer 29 3.2.3 Differentially Regulated Pathways in ER+ve vs ER-ve breast can- cers . 36 3.2.4 Therapy response prediction using pathways (Platinum Free In- terval in Ovarian Cancer) . 38 3.3 Unsupervised Stratification of Cancer Patients by Pathway Activities . 42 4 SuperPathway - A Global Pathway Model for Cancer 51 4.1 SuperPathway in Ovarian Cancer . 55 4.2 SuperPathway in Breast Cancer . 61 iii 4.2.1 Chin-Naderi Cohort . 61 4.2.2 TCGA Breast Cancer . 63 4.3 Cross-Cancer SuperPathway . 67 5 Pathway Analysis of Drug Effects 74 5.1 SuperPathway on Breast Cell Lines . -
2021 ACM Awards Call for Nominations
Turing Award The A. M. Turing Award is ACM's oldest and most prestigious award. It is presented annually to an individual or a group of individuals who have made lasting contributions of a technical nature to the computing community. The long-term influence of a candidate’s work is taken into consideration, but there should be a singular outstanding and trend-setting technical achievement that constitutes the claim of the award. The award is presented each June at the ACM Awards Banquet and is accompanied by a prize of $1,000,000 plus travel expenses to the banquet. Financial support for the award is provided by Google Inc. ACM Prize in Computing The ACM Prize in Computing recognizes an early to mid-career fundamental and innovative contribution in computing theory or practice that through, its impact, and broad implications, exemplifies the greatest achievements of the discipline. The candidate’s contribution should be relatively recent (typically within the last decade), but enough time should have passed to evaluate impact. While there are no specific requirements as to age or time since last degree requirements, the candidate typically would be approaching mid-career. The Prize carries a prize of $250,000. Financial support for the award is provided by Infosys Ltd. ACM Frances E. Allen Award for Outstanding Mentoring The Frances E. Allen Award for Outstanding Mentoring will be presented for the first time in 2021. This award will recognize individuals who have exemplified excellence and/or innovation in mentoring with particular attention to individuals who have shown outstanding leadership in promoting diversity, equity, and inclusion in computing.