Panel on Information Technology
DAVID R. FERGUSON was Boeing Phantom Works’ senior geometry technical fellow before his retirement. He has extensive expertise in computer-aided design. He had lead responsibility for geometry research and development at Boeing, where his work involved the application of mathematics to a wide variety of real-world engineering problems. He worked extensively on issues related to computer-aided geometric design and in the specific area of developing mathematical algorithms for curve and surface generation and has written and spoken widely on the issue of shape control for geometric objects. Before joining Boeing, Dr. Ferguson worked with The Aerospace Corporation and was a member of the faculty at the University of Wisconsin and the University of Southern California. Dr. Ferguson is a member of the Society for Industrial and Applied Mathematics (SIAM) and he is a SIAM Visiting Lecturer. He received his Ph.D. in mathematics from the University of Wisconsin System.
NAOMI S. ALTMAN is an associate professor in the Department of Statistics at Penn State University. Dr. Altman’s interest in statistics stems from her broad interests in the application of the mathematical sciences to problems in other disciplines—in particular, earth and environmental sciences, medical and biological sciences, and social sciences. Her statistical interests include bioinformatics, nonparametric smoothing, model selection and analysis of functional and longitudinal data. Her current research is in bioinformatics and functional data analysis. Her bioinformatics work includes the design and analysis of microarray studies, functional genomics and gene clustering (by position on the chromosome, by sequence structure, and by function). Much of this work is currently in collaboration with the Floral Genome Project and with collaborators such as Claude dePamphilis, Hong Ma, and Iliana Baums. Dr. Altman’s work in functional data analysis and nonparametric smoothing has focused on problems in which the errors are correlated, and parametric covariate effects are of interest. Current areas of interest include inference for self-modeling regression when curves are the response in a comparative experiment and fitting and inference for longitudinal and spatial data with a smooth component. Dr. Altman received her B.Sc. in mathematics and M.S. in statistics from the University of Toronto, and her Ph.D. in statistics from Stanford University.
PHILLIP COLELLA, NAS, is senior mathematician and group leader for the Applied Numerical Algorithms Group in the Computing Sciences Directorate at the E. O. Lawrence Berkeley National Laboratory. He is a leader in the development of mathematical methods and computer science tools for science and engineering. His research has been in the area of high-resolution and adaptive methods for partial differential equations. He has also applied numerical methods in a variety of scientific and engineering fields, including shock dynamics, low-Mach number and incompressible flows, combustion, porous media flows, and astrophysical flows. His honors and awards include the IEEE Sidney Fernbach Award for high-performance computing in 1998, the SIAM/ACM prize (with John Bell) for computational science and engineering in 2003, and election to the US National Academy of Sciences in 2004. Dr. Colella received his A.B., M.A. and Ph.D. from the University of California, Berkeley, all in applied mathematics.
L. PAMELA COOK is a professor of mathematics, Associate Dean of Engineering, and a professor of chemical engineering in the Department of Mathematical Sciences at the University of Delaware. Her expertise is in mathematical modeling and fluid mechanics. She is a former Associate Dean for Planning and Research in the College of Arts and Sciences and a former chair of the Department of Mathematical Sciences, both at the University of Delaware. Before coming to the University of Delaware, she served on the faculty at the University of California at Los Angeles and at Cornell University. She received her B.A. in mathematics from the University of Rochester and her M.S. and Ph.D. in applied mathematics from Cornell University. She also was a N.A.T.O. Postdoctoral Fellow at the University of Utrecht in the Netherlands.
GEORGE CYBENKO is the Dorothy and Walter Gramm Professor of Engineering and adjunct professor of computer science in the Thayer School of Engineering at Dartmouth College. Prior to joining Dartmouth in 1992, he was associate director of the Center for Supercomputing Research and Development, a professor of electrical and computer engineering, a professor of computer science, and a research professor in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign. His research interests are in distributed information systems, cyber security, and process analysis. His research activities include process query systems for cyber indicators and warnings and for homeland security, agent-based systems engineering, and an electric utility cyber log analysis project. Dr. Cybenko was the founding editor-in-chief of both the “IEEE Security and Privacy” and IEEE/AIP “Computing in Science and Engineering” publications. He is a fellow of the IEEE and he serves on the DARPA IPTO Senior Advisory Group, the IDA Center for Computing Sciences Program Review Committee, and the Board of Directors of the Computing Research Association, and he is chief scientist at-large for the AFRL Software Protection Initiative. Dr. Cybenko earned his B.Sc. in mathematics from the University of Toronto and his M.A. and Ph.D. in mathematics from Princeton University.
LUIS A. ESCOBAR is a professor in the Department of Experimental Statistics at the Louisiana State University. His research and consulting interests include statistical analysis of reliability data, accelerated testing, survival analysis, and linear and non-linear models. In addition to his service as a faculty member at LSU, he also has served as a member of the technical staff in the Quality Assurance Center of AT&T Bell Laboratories. Dr. Escobar is president of the Inter-American Statistical Institute. He is co-author of the book entitled “Statistical Methods for Reliability Data,” (John Wiley and Sons) and the author of several book chapters. Dr. Escobar is an associate editor for “Lifetime Data Analysis” and past associate editor for “Technometrics.” He is a fellow of the American Statistical Association and an elected member of the International Statistics Institute. Dr. Escobar holds a B.S. degree in administrative engineering from National University in Medellin, Colombia, an M.S. degree in statistics from the Inter-American Statistical Training Center in Santiago, Chile, and a Ph.D. in statistics from Iowa State University.
ERIC GROSSE is an engineering director at Google in Mountain View, California, working to ensure that systems and data stay safe and users' privacy remains secure. Before retiring from Alcatel-Lucent's Bell Laboratories, he was a director and fellow, where he founded an internal venture, Cloud Control, that offered enterprise security officers a unique opportunity to quickly install up to a million address filters in carrier networks. He applied encrypted key exchange to build an incrementally and quietly deployable single-sign on solution, called Factotum, that stores credentials in the network and improves the security even of legacy authentication protocols. This was part of a redesign of security in the Plan 9 operating system. In an earlier security project, he supervised the team that built the prototype Lucent Managed Firewall. He also collaborated on a VPN appliance that separates security administration from PC administration. He built a smartcard-based system for Lucent licensing applications. Dr. Grosse co-founded and continues to help run the Netlib repository of mathematical software. The systems issues involved in scaling that up led him to his current focus on security from his earlier work on numerical analysis. Algorithms for approximation and visualization, especially ones driven by problems from semiconductor design and fabrication, were the main theme of his first years at Bell Labs. He has served on the editorial boards of a wide variety of professional journals. Dr. Grosse majored in mathematics as an undergraduate and earned a Ph.D. in computer science at Stanford University.
ANIL K. JAIN is a University Distinguished Professor in the Departments of Computer Science and Engineering, and Electrical and Computer Engineering at Michigan State University. His research interests include pattern recognition, computer vision, and biometric recognition. His articles on biometrics have appeared in “Scientific American,” “Nature,” “IEEE Spectrum,” Communications of the ACM,” IEEE’s “Computer,” “Proceedings of the IEEE,” “Encarta,” “Scholarpedia,” and MIT’s “Technology Review.” He has received a number of awards, including a Guggenheim Fellowship, Humboldt Research Award, Fulbright Fellowship, IEEE Computer Society Technical Achievement Award (2003), W. Wallace McDowell Award (2007), IAPR King-Sun Fu Prize (2008), and ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received best paper awards from the “IEEE Transactions on Neural Networks” (1996) and the “Pattern Recognition” journal (1987, 1991, 2005). He served as the Editor-in-Chief of the “IEEE Transactions on Pattern Analysis and Machine Intelligence” (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE. Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books: “Handbook of Biometrics” (2007), “Handbook of Multibiometrics” (2006), “Handbook of Face Recognition” (2005), “Handbook of Fingerprint Recognition” (2003) (received the PSP award from the Association of American Publishers), “Markov Random Fields: Theory and Applications” (1993), and “Algorithms For Clustering Data” (1988). ISI has designated him as a highly cited researcher (his h-index is 86). According to CiteSeer, his book, “Algorithms for Clustering Data” is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded. He was a member of The National Academies committees on Whither Biometrics and Improvised Explosive Devices and a member of the Defense Science Board (2008-2010). He received a B.Tech. from the Indian Institute of Technology in Kanpur, India, an M.S.from the Ohio State University, and a Ph.D. in electrical engineering from Ohio State University.
BIING-HWANG (FRED) JUANG, NAE, is Motorola Foundation Chair Professor and Georgia Research Alliance Eminent Scholar in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was elected to the National Academy of Engineering for contributions to speech coding and speech recognition. His research interests are: speech processing, including recognition, synthesis, coding, and enhancement; multi-channel and array signal processing; stochastic modeling of signal and data sequence; signal processing for communications; and multimedia and multimodal communications. After receiving his Ph.D., Professor Juang worked at the Speech Communications Research Laboratory and Signal Technology, Inc. on a number of government‐sponsored research projects. Notable accomplishments during this period include development of vector quantization for voice applications, voice coders at extremely low bit rates (800 bps and around 300 bps) and robust vocoders for use in satellite communications. He subsequently joined the Acoustics Research Department of Bell Laboratories, working in the area of speech enhancement, coding, and recognition. Professor Juang became Director of Acoustics and Speech Research at Bell Labs in 1996, and Director of Multimedia Technologies Research at Avaya Labs (a spin‐off of Bell Labs) in 2001. His group continued the long heritage of Bell Labs in speech communication research, including, most notably, the invention of electret microphone, network echo canceller, a series of speech CODECs, and key algorithms for signal modeling and automatic speech recognition. He and his group developed a speech server for applications such as AT&T’s advanced 800 calls and the Moviefone, the Perceptual Audio Coder for digital audio broadcasting in North America (in both terrestrial and satellite systems), and a world‐first, real‐time, full‐duplex, hands‐free stereo teleconferencing system. Professor Juang has published extensively, including the book “Fundamentals of Speech Recognition,” co‐authored with L.R. Rabiner, and he holds about twenty patents. He joined the Georgia Institute of Technology in 2002. He received his B.Sc. in electrical engineering from National Taiwan University and his M.Sc. and Ph.D. in electrical engineering from the University of California, Santa Barbara.
JAMES F. KUROSE is a Distinguished University Professor (and past chair) in the Department of Computer Science, and Executive Associate Dean of the College of Natural Sciences, and Senior Faculty Advisor to the Vice Chancellor for Research and Engagement at the University of Massachusetts, Amherst. Professor Kurose has been a visiting scientist at IBM Research, INRIA, Institut EURECOM, the University of Paris, LIP6, and Thomson Research Labs. His research interests include network protocols and architecture, network measurement, sensor networks, multimedia communication, and modeling and performance evaluation. Dr. Kurose has served as Editor-in-Chief of the “IEEE Transactions on Communications” and was the founding Editor-in-Chief of the “IEEE/ACM Transactions on Networking.” He has been active in the program committees for IEEE Infocom, ACM SIGCOMM, and ACM SIGMETRICS conferences for a number of years, and has served as Technical Program Co-Chair for these conferences. He has won several conference best paper awards and received the ACM Sigcomm Test of Time Award. He is the recipient of the Outstanding Teacher Award from the National Technological University (8 times), the Outstanding Teacher Award from the College of Natural Science and Mathematics at the University of Massachusetts, the Outstanding Teaching Award of the Northeast Association of Graduate Schools, and the IEEE Taylor Booth Education Medal. He was one of the founders of the Commonwealth Information Technology Initiative. He has twice received an IBM Faculty Development Award, and a Lilly Teaching Fellowship. He currently serves on the Board of Directors of the Computing Research Association and is a member of the Commonwealth of Massachusetts' IT Collaborative. He is a Fellow of the IEEE and the ACM. With Keith Ross, he is the co-author of the textbook, “Computer Networking, a top down approach” (5th edition), published by Addison-Wesley Longman. He received his B.A. in physics from Wesleyan University and his M.S. and Ph.D. in computer science from Columbia University.
PATRICK LINCOLN is the director of the Computer Science Laboratory of SRI International, where he has worked since 1989. He has previously held positions at MCC, Los Alamos National Laboratory, and ETA Systems. Dr. Lincoln leads research in the fields of formal methods, computer security and privacy, computational biology, scalable distributed systems, and nano electronics. He has led multidisciplinary groups to high-impact research projects including symbolic systems biology, scalable anomaly detection, exquisitely sensitive biosensor systems, strategic reasoning and game theory, and privacy-preserving data sharing. SRI's computer science laboratory has made significant contributions to the formal analysis of systems, languages, and protocols in computer security, privacy, and fault tolerance, and to their integration into scalable and survivable systems. Dr. Lincoln has published dozens of influential papers, holds about a dozen patents, has served on scientific advisory boards for private and publicly-held companies, and has served on government-related panels, including DARPA-sponsored Information Science and Technology (ISAT), the Defense Science Research Council, and the Defense Science Board. Dr. Lincoln holds a B.Sc. in computer science from MIT and a Ph.D. in computer science from Stanford University.
STEVEN B. LIPNER is senior director of Security Engineering Strategy at Microsoft Corporation, where he is responsible for programs that provide improved product security for Microsoft customers. He leads Microsoft’s Security Development Lifecycle (SDL) team and is responsible for the definition of Microsoft’s SDL and for programs to make the SDL available to organizations beyond Microsoft. He is also responsible for Microsoft’s corporate strategies related to government security evaluation of Microsoft products. Mr. Lipner joined Microsoft in 1999 and was initially responsible for the Microsoft Security Response Center. In the aftermath of the major computer “worm” incidents of 2001, he and his team formulated and led programs that helped customers respond to the immediate challenges posed by software vulnerabilities and Internet worms. He and his team also devised the strategy of “security pushes” that, as part of the Trustworthy Computing initiative, enabled Microsoft to make rapid improvements in the security of its software products and to change the corporate development culture to emphasize product security. The SDL is the product of these improvements, and is widely viewed as the industry’s leading secure software development process. Before joining Microsoft, Mr. Lipner worked for a variety of software vendors and government contractors as a researcher, consultant, development manager, and general manager in IT security. Many of the concepts whose development he led form the basis for today’s approaches to building secure systems. Some examples of these contributions include the application of virtual machine monitors as an approach to isolating security domains, and mathematical models for multilevel security. Mr. Lipner is coauthor with Michael Howard of “The Security Development Lifecycle” (Microsoft Press, 2006) and is named as inventor on twelve U.S. patents and two pending applications in the field of computer and network security. He has authored numerous professional papers and conference presentations, and served on several National Research Council committees. He served two terms – a total of more than ten years – on the United States Information Security and Privacy Advisory Board and its predecessor. Mr. Lipner holds S.B. and S.M. degrees in civil engineering from the Massachusetts Institute of Technology and attended the Harvard Business School’s Program for Management Development.
ALEXA T. MCCRAY, IOM, is an associate professor of medicine at Harvard Medical School and the Department of Medicine, Beth Israel Deaconess Medical Center. She is the former Director of the Lister Hill National Center for Biomedical Communications, a research division of the National Library of Medicine (NLM) at the National Institutes of Health. She was elected to the Institute of Medicine of the National Academy of Sciences in 2001. Dr. McCray conducts research in biomedical informatics, including research in scientific collaboration, scholarly communication, ontologies, autism spectrum disorders phenotype-genotype correlations, and health communication/literacy. A current research focus is on methodologies designed to unlock the potential of multiple, distributed, and heterogeneous datasets by devising informatics strategies that effectively bridge the gap between molecular biology and medicine. Before joining NLM in 1986, she was on the research staff of IBM's T.J. Watson Research Center. She is a fellow of the American Association for the Advancement of Science and a fellow of the American College of Medical Informatics. She is a past member of the board of both the American Medical Informatics Association and the International Medical Informatics Association. She serves as senior consulting editor of “Methods of Information in Medicine,” and she is a past member of the editorial board of the “Journal of the American Medical Informatics Association.” She received her Ph.D. from Georgetown University, and for three years was on the faculty there. She conducted pre-doctoral research at the Massachusetts Institute of Technology.
GREGORY H. MILLER is a professor of applied science in the Department of Applied Science at the University of California, Davis. His research focus is on shock physics and numerical methods and his research interests involve the solution of physics and engineering problems through: the design of mathematical models and numerical methods; the construction of constitutive equations; the numerical solution of the resulting systems; and the analysis of experimental, theoretical, and computational results. Problems of realistic complexity and scale often involve supercomputing on massively parallel architectures. Prior to becoming a professor at UC, Davis, he served as an associate professor there, a mathematician at Lawrence Berkeley National Laboratory, an associate and assistant professor at the University of Chicago, and a research fellow at the University of California, Berkeley. Dr. Miller received his B.S. in chemical engineering from Purdue University and his Ph.D. geochemistry (with a minor in chemistry) from the California Institute of Technology.
DEBASIS MITRA, NAE, is Vice President in the Chief Scientist’s Office of Bell Labs, Alcatel-Lucent. He is responsible for global research partnerships and academic relations. From 1999-2007 as Vice President of the Mathematical and Algorithmic Sciences Research Center he directed activities in fundamental mathematics, algorithms, complex systems analysis and optimization, statistics, learning theory, information and communications sciences, and industrial mathematics. He is a Bell Labs Fellow and a Life Fellow of the IEEE. He is a recipient of the 1998 IEEE Eric E. Sumner Award, the 1993 Steven O. Rice Prize Paper Award and the 1982 Guillemin-Cauer Prize Paper Award of the IEEE. He is also the recipient of awards from the 1995 ACM Sigmetrics/Performance Conference, the Institution of Electrical Engineers (UK) and the Bell System Technical Journal. He has been a member of the editorial boards of the IEEE/ACM Transactions on Networking, the IEEE Transactions of Communications, the IEEE Transactions on Circuits and Systems, Queueing Systems (QUESTA) and Operations Research. He holds over 20 patents. He has been McKay Professor at the University of California, Berkeley, and the Albert Winsemius Professor at the Nanyang Technical University in Singapore. During 2006 Dr.Mitra chaired the Mathematics Advisory Committee of the Science Foundation of Ireland. He has served as advisor to the Hamilton Institute of the National University of Ireland, Maynooth, University of Maryland’s Computer Science Department, University of Michigan’s Electrical Engineering Department and Northwestern University’s Industrial Engineering and Management Sciences Department. He has served on the Eric E. Sumner Award Committee (as member and as Chair) and the Koji Kobayashi Computers and Communications Award Committee of the IEEE. In 2003 he served as the Chair of the Telecom review panel of the N.J. Commission on Jobs Growth and Economic Development. During 2006-2010 he served on the Air Force Studies Board of the National Academies, USA. He is serving on the IEEE COMSOC Awards Committee, the Advisory Committee to the Center for Energy Efficient Telecommunications at the University of Melbourne, and the Review Panel of the Institute on Infocomm Research in Singapore. He is serving on the ARL Technical Assessment Board.
J. MARC OVERHAGE, MD, IOM, is Director of Medical Informatics and a research scientist at the Regenstrief Institute, and a Professor of Medicine and the Regenstrief Professor of Medical Informatics at the Indiana University School of Medicine. His research has focused on the use of informational interventions to modify provider behavior including computerized provider order entry, clinical decision support systems, and other forms of feedback. These systems require clinical data to drive them and have led him to begin developing approaches to health information exchange. In order to facilitate this work, he has engaged in developing clinical information standards, advising the federal government on policy-guiding health information technology, and developing sustainable models for providing health information services. Dr. Overhage serves as president and CEO of the Indiana Health Information Exchange, a not-for-profit corporation created to sustain health information exchange. He is a member of the Institute of Medicine, the American College of Physicians and the American College of Medical Informatics. He received his B.A. in physics from Wabash College, and his M.D. in medicine and his Ph.D. in biophysics from the Indiana University School of Medicine.
W. TIMOTHY STRAYER is a principal scientist with Raytheon BBN Technologies. He joined BBN in 1997 from Sandia National Laboratories (California), where he worked on next-generation transport protocols, reliable multicast, and distributed collaboration systems. While at BBN, he has worked on several DARPA- and industry-sponsored projects in the areas of active networking, satellite packet switching, mobile IP, virtual private networks, and routing systems. Dr. Strayer is currently heading an effort to enable packet traceback in IP networks. He has written more than 25 journal and conference papers, several book chapters, and co-authored “The Xpress Transfer Protocol” (Addison-Wesley, 1992), and “Virtual Private Networks: Technologies and Solutions” (Addison-Wesley, 2001). He is a senior member of IEEE. Dr. Strayer received his Ph.D. from the University of Virginia, where he did work on next-generation network protocols, reliable multicast, and distributed object-oriented parallel processing systems.
STEPHEN B. VARDEMAN is a University Professor of Statistics and Industrial Engineering at Iowa State University. His professional interests include engineering and natural science applications of statistics, statistics and metrology, defense and Homeland Security applications of statistics, industrial applications, statistical education, and the development of new statistical theory and methods. Dr. Vardeman is the author of “Statistics for Engineering Problem Solving” (PWS Publishing, 1994, ISBN 0-534-92871-4, and also published by IEEE as ISBN 0-7803-1118-3), winner of the (biennial) 1994 ASEE Meriam-Wiley Distinguished Author Award for an outstanding new engineering textbook. He is coauthor (with J. Marcus Jobe) of “Statistical Quality Assurance Methods for Engineers” (John Wiley and Sons, 1999, ISBN 0-471-15937-3) and “Basic Engineering Data Collection and Analysis” (Duxbury/Thomson Learning, 2001, ISBN 0534-36957X). Dr. Vardeman is a fellow of the American Statistical Association, an (elected) Ordinary Member of the International Statistical Institute, and was editor of “Technometrics” from 1993 through 1995. He received his B.S. and M.S. in mathematics from Iowa State University and his Ph.D. in statistics from Michigan State University.