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Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
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A

Biographical Sketches of Workshop Planning Committee

RAMA CHELLAPPA, Chair, is a distinguished university professor and professor of electrical and computer engineering and an affiliate professor of computer science with the University of Maryland, College Park. He received a B.E. (honors) degree from the University of Madras, Madras, India, in 1975, an M.E. (Distinction) degree from the Indian Institute of Science, Bangalore, India, in 1977, and M.S.E.E. and Ph.D. degrees in electrical engineering from Purdue University in 1978 and 1981, respectively. He is also affiliated with the Center for Automation Research and the Institute for Advanced Computer Studies (permanent member). In 2005, he was named a Minta Martin Professor of Engineering. Prior to joining the University of Maryland, he was an assistant (1981–1986) and associate professor (1986–1991) and director of the Signal and Image Processing Institute (1988–1990) with the University of Southern California. Over the past 37 years, he has published numerous book chapters and peer-reviewed journal and conference papers. He has coauthored and coedited books on Markov random fields and face and gait recognition as well as collected works on image processing and analysis. He has served as a co-editor-in-chief of Graphical Models and Image Processing. His current research interests are machine intelligence; face and gait analysis; markerless motion capture; 3D modeling from video, image, and video-based recognition and exploitation; compressive sensing; and hyperspectral processing. Professor Chellappa has received several awards, including a National Science Foundation (NSF) Presidential Young Investigator Award, four IBM Faculty Development Awards, an Excellence in Teaching Award from the School of Engineering at University of Southern California, and two paper awards from the International Association of Pattern Recognition. He received the K.S. Fu Prize from the International Association of Pattern Recognition and the Inaugural Leadership Award from the Institute of Electrical and Electronics Engineers (IEEE) Biometrics Council. He received the Society, Technical Achievement, and Meritorious Service Awards from the IEEE Signal Processing Society. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. At the University of Maryland, he was elected as a Distinguished Faculty Research Fellow and as a Distinguished Scholar-Teacher, and he received the Outstanding Faculty Research Award and the Poole and Kent Teaching Award for the Senior Faculty from the College of Engineering, an Outstanding Innovator Award from the Office of Technology Commercialization, and an Outstanding GEMSTONE Mentor Award. In 2010, he was recognized as an Outstanding ECE by Purdue University. In 2016, he was also recognized as a Distinguished Alumni by the

Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×

Indian Institute of Science. He is a fellow of the IEEE, the International Association for Pattern Recognition, the Optical Society of America, the Association for the Advancement of Artificial Intelligence, the Association for Computing Machinery (ACM), and the American Association for the Advancement of Science. He has served as an associate editor for four IEEE publications and as the editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. He served as a member of the IEEE Signal Processing Society Board of Governors and as its vice president of awards and membership. He has served as a general and technical program chair for several IEEE international and national conferences and workshops. He is a golden core member of the IEEE Computer Society and served a 2-year term as a distinguished lecturer of the IEEE Signal Processing Society. Recently, he completed a 2-year term as the president of IEEE Biometrics Council.

TODD BORKEY joined Alion Science and Technology as chief technology officer (CTO) in 2017. As CTO, Mr. Borkey manages the company’s technology strategy, along with its development and operations. He is chartered to expand Alion’s business by developing new technologies and solutions that meet the changing needs of our clients. Mr. Borkey came to Alion from Thales Defense and Security where he served for 5 years as both corporate CTO and vice president of the Thales System Solutions business unit. At Thales, Mr. Borkey was responsible for the roadmap and business operations to a wide range of products, which included radio frequency communications, C4ISR solutions, radars, sonars, and cyber/EW products. Prior to Thales, Mr. Borkey served for 6 years as CTO of DRS Defense Solutions, a $1.3 billion C4ISR defense enterprise. Earlier in his career, he performed a range of engineering and management assignments within Northrop Grumman and AT&T Bell Labs. As the senior technology leader at Alion, Mr. Borkey brings profit and loss (P&L) experience, program management, and business development experience into the role. He has a master of science in engineering management from Stevens Institute of Technology and holds an undergraduate degree in applied mathematics.

JULIE BRILL is the corporate vice president and deputy general counsel for Global Privacy and Regulatory Affairs at Microsoft Corporation. She is a former partner at Hogan Lovells. She was a commissioner of the Federal Trade Commission (FTC) from April 2010 to early 2016, where she worked actively on issues of critical importance to today’s consumers, including protecting consumers’ privacy, encouraging appropriate advertising substantiation, guarding consumers from financial fraud, and maintaining competition in industries involving health care and high-tech. Ms. Brill was named “the commission’s most important voice on Internet privacy and data security issues,” a “key player in U.S. and global regulations,” “one of the top minds in online privacy,” one of the top four U.S. government players “leading the data privacy debate,” “one of the top 50 influencers on big data,” a “game-changer,” and “one of the 50 most powerful people in health care.” She also focused on the need to improve consumer protection in the financial services arena. Ms. Brill has received numerous national awards for her work. In addition to the International Association of Privacy Professionals 2014 Privacy Professionals Privacy Leader of the Year Award, she also received the New York University School of Law Alumna of the Year Award, was named one of eight “Government Stars” among the “2015 Attorneys Who Matter,” and was recently elected to the American Law Institute. Prior to becoming a commissioner, Ms. Brill was the senior deputy attorney general and chief of consumer protection and antitrust for the North Carolina Department of Justice. She also served as an assistant attorney general for consumer protection and antitrust for the State of Vermont for more than 20 years and was an associate at Paul, Weiss, Rifkind, Wharton and Garrison in New York. She clerked for Vermont Federal District Court Judge Franklin S. Billings, Jr. Ms. Brill graduated, magna cum laude, from Princeton University, and from New York University School of Law, where she had a Root-Tilden Scholarship for her commitment to public service.

LISE GETOOR is a professor in the Computer Science Department at the University of California, Santa Cruz, and the director of the University of California, Santa Cruz, D3 Data Science Center. Her research areas include machine learning and reasoning under uncertainty; in addition, she works in data management, visual analytics, and social network analysis. She has over 200 publications, is a fellow of the

Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×

Association for Artificial Intelligence, and is an elected board member of the International Machine Learning Society. She serves on the board of the Computing Research Association; has served as Machine Learning Journal action editor and associate editor for the ACM Transactions of Knowledge Discovery from Data and Journal of Artificial Intelligence Research, and has served on the Association for the Advancement of Artificial Intelligence Council. She is a recipient of an NSF Career Award and 11 best paper and best student paper awards. In 2014, she was recognized as one of the top 10 emerging researchers in data mining and data science based on citation and impact according to KD Nuggets. She is on the external advisory board of the San Diego Super Computer Center and the scientific advisory board for the Max Planck Institute for Software Systems, and has served on the advisory board for companies including Sentient Technologies. She received her Ph.D. from Stanford University in 2001, her M.S. from the University of California, Berkeley, and her B.S. from the University of California, Santa Barbara, and was a professor at the University of Maryland, College Park, from 2001-2013.

ANTHONY HOOGS is the senior director of computer vision at Kitware, Inc., a small scientific computing research and development firm based on open-source software. Dr. Hoogs leads Kitware’s computer vision group, which he started in 2007 and now has 40 members. For more than two decades, he has supervised and performed research in various areas of computer vision including event, activity, and behavior recognition; motion pattern learning and anomaly detection; tracking; remote sensing imagery analytics; image segmentation; object recognition; and content-based retrieval. At Kitware, he has initiated and led more than two dozen projects in image and video analysis, involving more than 20 universities and sponsored by government institutions including the Defense Advanced Research Projects Agency (DARPA), the Air Force Research Laboratory, the Intelligence Advanced Research Projects Activity, the Office of Naval Research, the Office of the Secretary of Defense, the National Geospatial-Intelligence Agency, and others, ranging from basic academic research to developing advanced prototypes and demonstrations installed at operational facilities. Previously at GE Global Research (1998-2007), Dr. Hoogs led a team of vision researchers on projects sponsored by the U.S. government, Lockheed Martin, and NBC Universal. He has published more than 80 papers in computer vision and has served as general co-chair for the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017; general co-chair for the IEEE Winter conference on Applications of Computer Vision (WACV) 2016 and 2018; area chair for CVPR (2009, 2010, 2012, 2018); workshops co-chair for CVPR (2012); corporate relations chair for CVPR (2009, 2010) and the International Conference on Computer Vision (2013); program co-chair for WACV (2009, 2011); organizer for various CVPR and ICCV workshops; member of the Computer Vision Foundation Advisory Board and Industrial Advisory Board; member of the steering committee for WACV. He regularly serves as a reviewer for major computer vision conferences and journals including CVPR, ICCV, the European Conference on Computer Vision, and WACV. He has served on technical panels for NSF and DARPA, including DARPA Information Science and Technology (ISAT) panels in 2007, 2009, and 2013 and has started a 3-year term as an ISAT member in 2017. In 2014, he served as an organizer of the National Academies of Sciences, Engineering, and Medicine’s Workshop on Robust Methods for the Analysis of Images and Videos for Fisheries Stock Assessment, sponsored by the National Oceanic and Atmospheric Administration (NOAA), then joined the Steering Committee for the NOAA National Marine Fisheries Service Automated Imagery Analysis Strategic Initiative. In 2017, he served as an organizer of the National Academies’ In-FoRM Machine Analytics Workshop, sponsored by the Intelligence Community to examine challenges and emerging opportunities in machine learning for intelligence analytics. Dr. Hoogs received a Ph.D. in computer and information science from the University of Pennsylvania in 1998; an M.S. from the University of Illinois, Urbana-Champaign, in 1991; and a B.A., magna cum laude, from Amherst College in 1989.

ANITA JONES is a university professor emerita in the School of Engineering and Applied Science at the University of Virginia. The Honorable Anita K. Jones served as director of defense research and engineering for the U.S. Department of Defense (DoD) from 1993 to 1997, overseeing the department’s science and technology program. She has served as vice chair of the National Science Board and a member

Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×

of the Massachusetts Institute of Technology (MIT) Corporation Executive Committee. She is currently a senior fellow of the Defense Science Board, a trustee of InQTel, and a member of provost’s advisory board for MIT Lincoln Laboratories. She was awarded the Founders’ Medal by the IEEE, the Ada Lovelace Award by the Association of Women in Computing, the Arthur M. Bueche Award by the National Academy of Engineering, the Philip Abelson Award by the American Association for the Advancement of Science, and the award for Distinguished Public Service by the DoD. The U.S. Navy named a seamount in the North Pacific Ocean for her. Duke University, Carnegie Mellon University, and the University of Southern California have all awarded her honorary doctorates. She has published more than 50 technical articles and two books on computer software, cybersecurity, and science and technology policy. She is a member of the National Academy of Engineering. Dr. Jones holds an A.B. in mathematics from Rice University, an M.A. in literature from the University of Texas, Austin, and a Ph.D. in computer science from Carnegie Mellon University.

YUNYAO LI is a principal research staff member and a senior research manager member with IBM Research–Almaden, where she manages the Scalable Knowledge Intelligence group. She is a member of the New Voices program of the National Academies. She is also a master inventor and a member of IBM Academy of Technology. Her expertise is in the interdisciplinary areas of natural language processing, databases, human–computer interaction, and information retrieval. She is a widely recognized expert in these areas both within IBM and in the external research community, with more than 50 research publications and more than 20 patents granted/filed in these areas. She is a founding member of SystemT, a state-of-the-art information extraction engine currently powering 10+ IBM products, and numerous research projects and customer engagements. She is also a founding member of Gumshoe, a novel enterprise search engine that has been powering the IBM intranet and ibm.com search from 2010 to 2017. Her contribution to these projects has been recognized by multiple prestigious IBM internal awards. She received her Ph.D. degree and master’s degrees from the University of Michigan, Ann Arbor, and undergraduate degrees from Tsinghua University, Beijing, China. Dr. Li is passionate about improving the diversity for the science, technology, engineering, and medicine field. She has been actively mentoring women and underrepresented minorities for more than 10 years. She has been serving on the MentorNet Mentor-Protégé Council since 2013 and the external advisory board for the Computer Science Department of the San Jose State University since early 2016. She also has cofounded and currently leads Almaden Women’s Interest Network Group, aiming to provide a networking forum for technical women in IBM Almaden Research Center, advance women in technology, and enhance the diverse workforce.

JOYSULA RAO is an IBM fellow and the director of security research at IBM. Based in IBM’s Thomas J. Watson Research Center, the global team comprises more than 200 researchers who work in the areas of cryptography, cybersecurity, cloud, mobile security, and secure platform technologies. Dr. Rao works closely with customers, academic partners, and IBM business units to drive new and innovative technologies into IBM’s products and services and definitive industry standards. The goal of his research is to raise the bar significantly on the quality of security while simultaneously easing the overhead of developing and deploying secure solutions. Dr. Rao has published widely in premier security conferences and workshops. He holds numerous U.S. and European patents. He is a member of the prestigious IBM Academy of Technology and an emeritus member of the International Federation for Information Processing Working Group 2.3 (Programming Methodology) and the Industry Advisory Board of the Georgia Tech Information Security Center. Dr. Rao obtained his doctorate degree from the University of Texas, Austin, an M.S. in computer science from the State University of New York at Stony Brook, and an A.B.Tech. in electrical engineering from the Indian Institute of Technology, Kanpur.

SAMUEL VISNER is a senior executive at the MITRE Corporation, an adjunct professor of cybersecurity at Georgetown University, and the director of the National Cybersecurity Federally Funded Research and Development Center (NCF). MITRE manages the NCF in support of the National Institute of Standards and Technology’s National Cybersecurity Center of Excellence). In this role, he oversees efforts to bring

Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×

together experts from industry, government, and academia to demonstrate integrated cybersecurity solutions that are cost-effective, repeatable, and scalable. The NCF is the first of its kind dedicated to cybersecurity. Mr. Visner joined MITRE having served as senior vice president and general manager for cybersecurity and resilience at ICF, where he managed the company’s business unit (P&L) supporting a wide range of national and homeland security clients and programs, including cybersecurity research and development. He also held leadership positions at Computer Sciences Corporation and Science Applications International Corporation. In addition, he served as chief of signals intelligence programs at the National Security Agency, where he was awarded the agency’s Exceptional Civilian Service Award in 2003. Mr. Visner has been a leader in public–private partnerships and collaborations, including the Intelligence and National Security Alliance, the Air Force Communications and Electronics Association, the Professional Services Council, and the National Academy of Sciences. Throughout his career, he has worked across multiple federal sponsors. Mr. Visner also serves as member of the Cyber and Domestic Security Councils of the Intelligence and National Security Alliance. As an adjunct professor of science and technology in international affairs at Georgetown University, Mr. Visner teaches a course on cybersecurity policy, operations, and technology. He is also a member of the Council on Foreign Relations and an Intelligence Associate of the National Intelligence Council and is a member of the Intelligence Science and Technology Experts Group, sponsored by the National Academy of Sciences and serving the Office of the Director of National Intelligence. Mr. Visner also served as a member of the board of directors of CVG/Avtec. Mr. Visner holds a bachelor’s degree in international politics from Georgetown University and a M.S. in telecommunications from George Washington University. Mr. Visner has served twice on the Intelligence, Surveillance, and Reconnaissance Task Force of the Defense Science Board and has published articles on national and cybersecurity in World Politics Review, the Georgetown Journal of International Affairs, and the Defense Intelligence Journal.

Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×
Page 57
Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×
Page 58
Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×
Page 59
Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×
Page 60
Suggested Citation:"Appendix A: Biographical Sketches of Workshop Planning Committee." National Academies of Sciences, Engineering, and Medicine. 2019. Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop. Washington, DC: The National Academies Press. doi: 10.17226/25534.
×
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Next: Appendix B: Workshop Agenda »
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The Intelligence Community Studies Board (ICSB) of the National Academies of Sciences, Engineering, and Medicine convened a workshop on December 11–12, 2018, in Berkeley, California, to discuss robust machine learning algorithms and systems for the detection and mitigation of adversarial attacks and anomalies. This publication summarizes the presentations and discussions from the workshop.

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