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COMMITTEE ON DEPICTING INNOVATION IN INFORMATION TECHNOLOGY
ELIZABETH MYNATT, Chair, is a distinguished professor in the College of Computing and the executive director of the Georgia Institute of Technology (Georgia Tech) Institute for People and Technology. Dr. Mynatt investigates the design and evaluation of health information technologies, including creating personalized mobile technology for supporting breast cancer patients during their cancer journey, evaluating mobile sensing and mHealth engagement for pediatric epilepsy patients and their caregivers, and investigating the positive and negative influence of social media on self-harm behaviors such as eating disorders. She is also one of the principal researchers in the Aware Home Research Initiative, investigating the design of future home technologies, especially those that enable older adults to continue living independently as opposed to moving to an institutional care setting. Dr. Mynatt is an internationally recognized expert in the areas of ubiquitous computing and assistive technologies. Her research contributes to ongoing work in personal health informatics, computer-supported collaborative work and human-computer interface design. She is also past chair of the Computing Community Consortium, a National Science Foundation (NSF)-sponsored effort to engage the computing research community in envisioning more audacious research challenges. Dr. Mynatt serves as a member of the Computer Science and Telecommunications Board of the National Academies of
Sciences, Engineering, and Medicine and as an Association for Computing Machinery (ACM) council member at large. She has been recognized as an ACM fellow, a member of the SIGCHI Academy, and a Sloan and Kavli research fellow. She has published more than 100 scientific papers and chaired the CHI 2010 conference, the premier international conference in human-computer interaction. Prior to joining the Georgia Tech faculty in 1998, Dr. Mynatt was a member of the research staff at Xerox PARC. She earned her bachelor’s of science summa cum laude in computer science from North Carolina State University and her master’s of science and Ph.D. in computer science from Georgia Tech.
DAVID CULLER is Friesen Professor of Engineering at the University of California, Berkeley. Dr. Culler joined the Electrical Engineering and Computer Sciences (EECS) faculty in 1989; was the founding director of Intel Research Berkeley in 2000; was associate chair of the EECS Department from 2010 to 2012 and chair from 2012 to 2014; and was the founding interim dean of data sciences from 2017 to 2019. He won the Okawa Prize in 2013. Dr. Culler is a member of the National Academy of Engineering, an ACM fellow, and an Institute of Electrical and Electronics Engineers (IEEE) fellow. He has received 10 test-of-time awards, been named one of Scientific American’s Top 50 Researchers, and is the creator of one of the MIT Technology Review’s 10 Technologies That Will Change the World. He was awarded the NSF Presidential Young Investigator and Presidential Faculty Fellowship. Dr. Culler’s research addresses information infrastructure for built environments, networks of small embedded wireless devices, planetary-scale Internet services, parallel computer architecture, parallel programming languages, and high-performance communication. It includes the extensible Building Operating System (xBOS), TinyOS, Berkeley Motes, PlanetLab, Networks of Workstations (NOW), Internet services, Active Messages, Split-C, and the Threaded Abstract Machine (TAM). Dr. Culler received his B.A. from the University of California, Berkeley, in 1980, and an M.S. and a Ph.D. from the Massachusetts Institute of Technology (MIT) in 1985 and 1989, respectively.
ODEST CHADWICKE (CHAD) JENKINS is a professor of computer science and engineering and an associate director of the Robotics Institute at the University of Michigan. Dr. Jenkins previously served on the faculty of Brown University in computer science (2004-2015). His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. Dr. Jenkins has been recognized as a Sloan research fellow and is a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE). His work has also been supported by Young
Investigator awards from the Office of Naval Research (ONR), the Air Force Office of Scientific Research (AFOSR), and NSF. Dr. Jenkins is currently serving as editor-in-chief for ACM Transactions on Human-Robot Interaction. He is a fellow of the American Association for the Advancement of Science (AAAS) and a senior member of the ACM and the IEEE. Dr. Jenkins participated in the Defense Science Study Group (2018-2019), and he is a co-founder of BlackInComputing.org. He earned his B.S. in computer science and mathematics at Alma College (1996), M.S. in computer science at Georgia Tech (1998), and Ph.D. in computer science at the University of Southern California (2003).
TOM MITCHELL is the E. Fredkin University Professor at Carnegie Mellon University, where he founded the world’s first Machine Learning Department. Dr. Mitchell’s research lies in machine learning (ML), artificial intelligence (AI), and cognitive neuroscience. His current research includes developing ML approaches to natural language understanding by computers, as well as brain imaging studies of natural language understanding by humans. Dr. Mitchell is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and is past president of the Association for the Advancement of Artificial Intelligence (AAAI). In 2015, Dr. Mitchell was awarded an honorary doctor of laws degree from Dalhousie University for his contributions to ML and cognitive neuroscience, and in 2017, he received the 10-Year Outstanding Research Contributions Award from the Brain Informatics Conference for his research studying language processing in the human brain.
GREG MORRISETT is dean and vice provost of Cornell Tech. Previously, Dr. Morrisett was dean of computing and information sciences (CIS) at Cornell University and held the Allen B. Cutting Chair in Computer Science at Harvard University from 2004 to 2015. At Harvard, he also served as the associate dean for computer science and electrical engineering and as the director of the Center for Research on Computation and Society. Before Harvard, Dr. Morrisett spent 8 years on the faculty of the Cornell Computer Science Department. Dr. Morrisett’s research focuses on the application of programming language technology for building secure, reliable, and high-performance software systems. A common theme is the focus on systems-level languages and tools that can help detect or prevent common vulnerabilities in software. Past examples include typed assembly language, proof-carrying code, software fault isolation, and control-flow isolation. Recently, his research focuses on building provably correct and secure software, including a focus on cryptographic schemes, ML, and compilers. Dr. Morrisett is a fellow of the ACM and has received a number of awards for his research on programming languages, type systems, and
software security, including a Presidential Early Career Award for Scientists and Engineers, an IBM Faculty Fellowship, an NSF Career Award, and an Alfred P. Sloan Fellowship. He served as chief editor for the Journal of Functional Programming and as an associate editor for ACM Transactions on Programming Languages and Systems, Information Processing Letters, and the Journal of the ACM. He currently serves as co-editor-in-chief for the Research Highlights column of Communications of the ACM. In addition, Dr. Morrisett has served on the Defense Advanced Research Projects Agency (DARPA) Information Science and Technology Study Group, the NSF Computer and Information Science and Engineering Advisory Council, the Max Planck Institute for Software Systems Advisory Board, the Computing Research Association Board, Microsoft Research’s Technical Advisory Board, Microsoft’s Trustworthy Computing Academic Advisory Board, and the Fortify Technical Advisory Board. He received his bachelor’s degree from the University of Richmond and both his master’s and doctorate degrees from Carnegie Mellon University.
SHWETAK N. PATEL is the Washington Research Foundation Endowed Professor in the Paul G. Allen School of Computer Science and Engineering and the Department of Electrical and Computer Engineering at the University of Washington, where he directs the Ubicomp Lab. Concurrently, Dr. Patel is also director of health technologies at Google. His research is in the areas of human-computer interaction, ubiquitous computing, and sensor-enabled embedded systems, with a particular emphasis on the application of computing to health, sustainability, and interaction. Dr. Patel received his Ph.D. in computer science from Georgia Tech in 2008. He is a recipient of a MacArthur Genius Fellowship, Sloan Fellowship, Microsoft Research Faculty Fellowship, MIT TR-35 Award, World Economic Forum Young Global Scientist Award, NSF Career Award, Presidential PECASE award, and the ACM Prize in Computing. He is also an ACM fellow. Dr. Patel was a co-founder of a home energy monitoring company called Zensi (acquired by Belkin in 2010), a low-power home wireless sensing company called SNUPI Technologies (acquired by Sears in 2015), and a mobile health company called Senosis Health (acquired by Google in 2017).
MARGO SELTZER is the Canada 150 Research Chair in Computer Science at the University of British Columbia and was the Herchel Smith Professor of Computer Science in the Harvard John A. Paulson School of Engineering and Applied Sciences until 2018. Dr. Seltzer’s research interests are in systems, construed quite broadly: systems for capturing and accessing data provenance, file systems, databases, transaction processing systems, storage and analysis of graph-structured data, new architectures for parallelizing execution, and systems that apply technology to problems
in health care. She is the author of several widely used software packages including database and transaction libraries and the 4.4BSD log-structured file system. Dr. Seltzer was a founder and CTO of Sleepycat Software, the makers of Berkeley DB, and was an architect for Oracle Corporation until 2020. She is a member of the Computer Science and Telecommunications Board of the National Academies and a past president of the USENIX Association. Dr. Seltzer is a Sloan Foundation fellow in Computer Science, an ACM fellow, and a Bunting fellow, and was the recipient of the 1996 Radcliffe Junior Faculty Fellowship and the University of California Microelectronics Scholarship. She is recognized as an outstanding teacher and won the Phi Beta Kappa teaching award in 1996 and the Abramson Teaching Award in 1999. Dr. Seltzer received an A.B. degree in applied mathematics from Harvard/Radcliffe College and a Ph.D. in computer science from the University of California, Berkeley.
ROBERT F. SPROULL recently retired as vice president and director of Oracle Labs, an applied research group that originated at Sun Microsystems. Since undergraduate days, Dr. Sproull has been building hardware and software for computer graphics: clipping hardware, an early device-independent graphics package, page description languages, laser printing software, and window systems. He has also been involved in VLSI design, especially of asynchronous circuits and systems. Before joining Sun Microsystems in 1990 (acquired by Oracle in 2010), Dr. Sproull was a principal with Sutherland, Sproull, and Associates; an associate professor at Carnegie Mellon University; and a member of the Xerox Palo Alto Research Center. He is a coauthor with William Newman of the early text Principles of Interactive Computer Graphics. He is also an author of the book Logical Effort, which deals with designing fast CMOS circuits. Dr. Sproull is a member of the National Academy of Engineering and a fellow of the American Academy of Arts and Sciences and has served on the U.S. Air Force Scientific Advisory Board and as a technology partner of Advanced Technology Ventures. He is currently a co-chair of the National Academies Report Review Committee; a member of the National Academies Committee on Science, Engineering, Medicine, and Public Policy; and an adjunct professor of computer science at the University of Massachusetts, Amherst.
PANEL ON ARTIFICIAL INTELLIGENCE
TOM MITCHELL, Chair, is the E. Fredkin University Professor at Carnegie Mellon University, where he founded the world’s first Machine Learning Department. Dr. Mitchell’s research lies in ML, AI, and cognitive neuroscience. His current research
includes developing ML approaches to natural language understanding by computers, as well as brain imaging studies of natural language understanding by humans. Dr. Mitchell is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and is past president of the AAAI. In 2015, Dr. Mitchell was awarded an honorary doctor of laws degree from Dalhousie University for his contributions to ML and cognitive neuroscience, and in 2017, he received the 10-Year Outstanding Research Contributions Award from the Brain Informatics Conference for his research studying language processing in the human brain.
ERIC HORVITZ is a technical fellow at Microsoft, where he serves as chief scientific officer. Before taking on his current role, Dr. Horvitz served as director of Microsoft Research Labs. He has pursued principles and applications of AI with contributions in ML, perception, natural language understanding, and decision making. Dr. Horvitz’s research centers on challenges with uses of AI amid the complexities of the open world, including uses of probabilistic and decision-theoretic representations for reasoning and action, models of bounded rationality, and human-AI complementarity and coordination. His efforts and collaborations have led to fielded systems in health care, transportation, e-commerce, operating systems, and aerospace. Dr. Horvitz received the Feigenbaum Prize and the Allen Newell Prize for contributions to AI, and he received the CHI Academy honor for his work at the intersection of AI and human-computer interaction. He has been elected fellow of the National Academy of Engineering, the ACM, the AAAI, the AAAS, the American Academy of Arts and Sciences, and the American Philosophical Society. Dr. Horvitz has served as president of the AAAI, and on advisory committees for NSF, National Institutes of Health, DARPA, and the Allen Institute for AI. Beyond technical work, he has pursued efforts and studies on the influences of AI on people and society, including issues around ethics, law, and safety. He chairs Microsoft’s Aether committee on AI, effects, and ethics in engineering and research. Dr. Horvitz established the One Hundred Year Study on AI at Stanford University and co-founded the Partnership on AI. He received Ph.D. and M.D. degrees at Stanford University.
ODEST CHADWICKE (CHAD) JENKINS is a professor of computer science and engineering and an associate director of the Robotics Institute at the University of Michigan. Dr. Jenkins previously served on the faculty of Brown University in computer science (2004-2015). His research addresses problems in interactive robotics and human-robot interaction, primarily focused on mobile manipulation, robot perception, and robot learning from demonstration. Dr. Jenkins has been recognized as a Sloan research fellow and is a recipient of the PECASE. His work has also been
supported by Young Investigator awards from ONR, AFOSR, and NSF. Dr. Jenkins is currently serving as editor-in-chief for ACM Transactions on Human-Robot Interaction. He is a fellow of the AAAS and a senior member of the ACM and the IEEE. Dr. Jenkins participated in the Defense Science Study Group (2018-2019), and he is a co-founder of BlackInComputing.org. He earned his B.S. in computer science and mathematics at Alma College (1996), M.S. in computer science at Georgia Tech (1998), and Ph.D. in computer science at the University of Southern California (2003).
FEI-FEI LI is the inaugural Sequoia Professor in the Computer Science Department at Stanford University and co-director of Stanford’s Human-Centered AI Institute. Dr. Li served as director of Stanford’s AI Lab from 2013 to 2018. During her sabbatical from Stanford from January 2017 to September 2018, she was vice president at Google and served as chief scientist of AI/ML at Google Cloud. Dr. Li joined Stanford in 2009 as an assistant professor. Prior to that, she was on the faculty at Princeton University (2007-2009) and at University of Illinois, Urbana-Champaign (2005-2006). Dr. Li’s main research areas are in ML, deep learning, computer vision, and cognitive and computational neuroscience. She has published nearly 200 scientific articles in top-tier journals and conferences, including Nature, Proceedings of the National Academy of Sciences, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, RSS, IJCV, IEEE-PAMI, and the New England Journal of Medicine. Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale data set and benchmarking effort that has contributed to the latest developments in deep learning and AI. She is co-founder and chair of the national nonprofit AI4ALL, aimed at increasing inclusion and diversity in AI education. Dr. Li has been a keynote speaker at many academic and influential conferences, including the World Economic Forum, the Grace Hopper Conference 2017, and the TED2015 main conference. She is a fellow of ACM and a recipient of the 2019 IEEE PAMI Longuet-Higgins Prize, 2019 National Geographic Society Further Award, 2017 Athena Award for Academic Leadership, IAPR 2016 J.K. Aggarwal Prize, 2016 IEEE PAMI Mark Everingham Award, 2016 NVIDIA Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, and 2006 Microsoft Research New Faculty Fellowship, among others. Dr. Li obtained her B.A. degree with high honors in physics from Princeton in 1999, and her Ph.D. degree in electrical engineering from California Institute of Technology in 2005.
DANIELA RUS is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory at MIT. Her research interests are in robotics, mobile computing, and