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Committee Membership Information




Project Title: Planning a Global Library of the Mathematical Sciences

PIN: DEPS-BMSA-11-01        

Major Unit:
Division on Engineering and Physical Sciences

Sub Unit: DEPS Board on Mathematical Sciences & Their Applications

RSO:

Weidman, Scott

Subject/Focus Area:  Math, Chemistry and Physics


Committee Membership
Date Posted:   10/25/2012


Dr. Ingrid Daubechies - (Co-Chair)
Duke University

Ingrid Daubechies is a professor of mathematics at Duke University. She completed her undergraduate studies in physics at the Vrije Universiteit Brussel in 1975. She obtained her Ph.D. in theoretical physics in 1980, and continued her research career at that institution until 1987, rising through the ranks to positions roughly equivalent with research assistant-professor in 1981 and research associate-professor 1985. Dr. Daubechies then moved to the United States, taking a position at the Murray Hill AT&T Bell Laboratories' New Jersey facility. Earlier that same year, she had made her best-known discovery: the construction of compactly supported continuous wavelets. From 1993-2011, Dr. Daubechies was a professor at Princeton University, where she is active especially within the Program in Applied and Computational Mathematics. She was the first female full professor of Mathematics at Princeton. In January 2011 she moved to Duke University to serve as a professor of Mathematics.

Dr. Clifford A. Lynch - (Co-Chair)
Coalition for Networked Information

Clifford Lynch is Executive Director of Coalition for Networked Information (CNI). He has led the Coalition for Networked Information since 1997. CNI, jointly sponsored by the Association of Research Libraries and EDUCAUSE, includes about 200 member organizations concerned with the intelligent uses of information technology and networked information to enhance scholarship and intellectual life. CNI’s wide-ranging agenda includes work in digital preservation, data intensive scholarship, teaching, learning and technology, and infrastructure and standards development. Prior to joining CNI, Lynch spent 18 years at the University of California Office of the President, the last 10 as Director of Library Automation. Lynch, who holds a Ph.D. in Computer Science from the University of California, Berkeley, is an adjunct professor at Berkeley’s School of Information. In 2011, he was appointed co-chair of the National Academies Board on Research Data and Information (BRDI); he serves on numerous advisory boards and visiting committees. His work has been recognized by the American Library Association’s Lippincott Award, the EDUCAUSE Leadership Award in Public Policy and Practice, and the American Society for Engineering Education’s Homer Bernhardt Award.

Dr. Kathleen M. Carley
Carnegie Mellon University

Kathleen M. Carley is a professor in the School of Computer Science at Carnegie Mellon University. She is the director of the Center for Computational Analysis of Social and Organizational Systems (CASOS), a university-wide interdisciplinary center that brings together network analysis, computer science and organization science and has an associated NSF-funded training program for Ph.D. students. Her research combines cognitive science, social networks and computer science, to address complex social and organizational problems. Her specific research areas are dynamic network analysis, computational social and organization theory, adaptation and evolution, text mining, and the impact of telecommunication technologies and policy on communication, information diffusion, disease contagion and response within and among groups particularly in disaster or crisis situations. She and her team have developed infrastructure tools for analyzing large-scale dynamic networks and various multi-agent simulation systems. The infrastructure tools include the ORA, a statistical toolkit for analyzing and visualizing multi-dimensional networks. Another tool is AutoMap, a text-mining system for extracting semantic networks from texts and then cross-classifying them using an organizational ontology into the underlying social, knowledge, resource and task networks. She is the founding co-editor with Al. Wallace of Computational Organization Theory and has co-edited several books in the computational organizations and dynamic network area.

Mr. Timothy W. Cole
University of Illinois at Urbana-Champaign

Timothy W. Cole is a professor of Library and Information Science and the Head of the Mathematics Library at the University of Illinois at Urbana-Champaign. He received a B.S. in Aeronautical and Astronautical Engineering and a M.S. in Library and Information Science from the University of Illinois at Urbana-Champaign. His research interests include metadata best practices, digital library system design, digital library interoperability protocols, and the use of XML for encoding metadata and digitized scholarly resources in science, mathematics and literature.

Dr. Judith L. Klavans
University of Maryland, College Park

Judith L. Klavans is the Principal Investigator on the Mellon-funded Computational Linguistics for Metadata Building (CLiMB) research project, now based at the College of Information Studies at the University of Maryland. In addition to leading the project, she is involved in developing analysis and filtering techniques for the extraction of metadata, particularly through thesaurus-driven disambiguation. She is also involved in the Defense Advanced Research Projects Agency (DARPA)-funded TIDES multilingual multimedia summarization project, in which her primary technical role is the areas of utility evaluation and in coherence for summarization. She is currently Research Professor at the College of Information Studies at UMD. Dr. Klavans holds a PhD in Linguistics from the University of London and has worked on numerous computer science, digital library and digital government projects. In particular, she has served as principal investigator on several other large research projects, including the National Science Foundation (NSF)-funded PERSIVAL medical digital library, the NSF and Bureau of Labor Statistics (BLS) supported Digital Government Research Center joint project with University of Southern California-ISI, and the Defense Advanced Research Projects Agency (DARPA)-funded TIDES multilingual summarization project. Her research interests include linguistics, digital library research, language, and natural language systems. Dr. Klavans initiated the CLiMB project at Columbia University in 2002.

Dr. Yann LeCun
New York University

Yann LeCun is a professor of Computer Science at the Courant Institute of Mathematical Sciences at NYU since 2003 and was named Silver Professor in 2008. LeCun received a PhD in Computer Science from the Université Pierre et Marie Curie, Paris in 1987. LeCun joined the Adaptive Systems Research Department at AT&T Bell Laboratories in Holmdel, NJ in 1988, where he later became head of the Image Processing Research Department, part of Larry Rabiner’s Speech and Image Processing Research Lab at AT&T Labs-Research in Red Bank, NJ. In 2002, he became a Fellow of the NEC Research Institute (now NEC Labs America) in Princeton, NJ. He then began his tenure at NYU, where he remains. Dr. LeCun’s research focuses on machine learning, computer vision, pattern recognition, neural networks, handwriting recognition, image compression, document understanding, image processing, VLSI design, and information theory. His handwriting recognition technology is used by several banks around the world, and his image compression technology is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web.



Dr. Michael Lesk
Rutgers, The State University of New Jersey, New Brunswick

Michael Lesk is a professor of library and information science at Rutgers University and past department chair (2005-2008). After receiving a Ph.D. in chemical physics, Dr. Lesk joined the computer science research group at Bell Laboratories, and from 1984 to 1995 managed computer science research at Bellcore. He was then head of the division of information and intelligent systems at the National Science Foundation (1998- 2002), and then joined Rutgers. He is best known for work in electronic libraries, and his book Practical Digital Libraries was published in 1997 by Morgan Kaufmann and the revision Understanding Digital Libraries appeared in 2004. His research has included the CORE project for chemical information, and he wrote some Unix system utilities including those for table printing (tbl), lexical analyzers (lex), and intersystem mail (uucp). His other technical interests include document production and retrieval software, computer networks, computer languages, and human–computer interfaces. He is a fellow of the Association for Computing Machinery, received the Flame award from the Usenix association, and in 2005 was elected to the National Academy of Engineering.

Dr. Peter J. Olver
University of Minnesota, Minneapolis

Peter J. Olver is the head of and a Professor in the School of Mathematics at the University of Minnesota. Before joining the University of Minnesota, he was a Dickson instructor at the University of Chicago and a postdoc at the University of Oxford. He is currently the Chair of two committees with the International Mathematical Union: the Committee on Electronic Information and Communication and the Chair of the Moderating Group of the Blog on Mathematical Journals. Dr. Olver is also a member of the American Mathematical Society (A.M.S.) and the Society for Industrial and Applied Mathematics (SIAM). His research interests revolve around the applications of symmetry and Lie groups to differential equations. He is the author of 4 books and 130 papers published in refereed journals that include applications in computer vision, fluid mechanics, elasticity, quantum mechanics, Hamiltonian systems, the calculus of variations, geometric numerical methods, differential geometry, algebra, and classical invariant theory. He received a Bachelor’s Degree in Applied Mathematics from Brown University and a Ph.D. in Mathematics from Harvard University.



Dr. Jim Pitman
University of California, Berkeley

Jim Pitman is a professor in the departments of Statistics and Mathematics at the University of California, Berkeley. Before joining the faculty at UC Berkeley, Dr. Pitman held a position in the Department of Mathematics and Mathematical Statistics at the University of Cambridge, England. Dr. Pitman has devoted much effort to promote the development of open access resources in the fields of probability and statistics. As a member of the Executive Committee of the Institute of Mathematical Statistics (IMS) from 2005 to 2008, he guided the IMS through implementation of a policy to promote open access to all of its professional journals, through systematic deposit of peer-reviewed final versions of all articles on arXiv.org and to provide technical support to other organizations willing to do the same. Since rotating off the IMS Executive in 2008, he has continued work on two open access initiatives with the support of Springer. The first of these is a Series of Selected Works in Probability and Statistics and the second is an Open Access Encyclopedia of Probability and Statistics. He has a continuing interest in the technical management of scientific information in ways that encourage individuals and small organizations to maintain high quality knowledge repositories which are openly accessible. Dr. Pitman holds a B.Sc in Statistics from the Australian National University, Canberra and a Ph.D. in Probability and Statistics from Sheffield University.

Dr. Zhihong (Jeff) Xia
Northwestern University

Zhihong (Jeff) Xia is an Arthur and Gladys Pancoe Professor of Mathematics at Northwestern University. He joined Northwestern in 1994 after serving as an Associate Professor at both Georgia Institute of Technology and Harvard University. His research interests include dynamical systems, Hamiltonian dynamics, celestial mechanics, and ergodic theory. Dr. Xia received a B.S. in Astronomy from Nanjing University in China and a Ph.D. in Mathematics from Northwestern University.