Dr. Poornima Balasubramanyam is conducting research with Professor Karl Levitt in the Computer Security Laboratory. She received a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Madras, India, and M.S. and Ph.D. degrees in Computer Science from the University of Massachusetts, Amherst. During 1994-1995, she was a researcher at the University of Texas at Austin, Center for Vision and Image Sciences. Her current research interests include network topology analysis, intrusion detection, monitoring and response in wired and mobile ad hoc wireless computer networks.
Dr. Roger Bales, Distinguished Professor of Engineering at UC Merced, is a well-regarded scholar and thought leader, who has been active in climate-related research and policy for over 25 years. He is the director of both the UC Water Security and Sustainability Research initiative, and the Southern Sierra Critical Zone Observatory
H. Glenn Ballard is co-founder and research director of the Lean Construction Institute (LCI), a non-profit organization dedicated to applying Lean theory, principles and techniques to create a new form of project management to design and build capital facilities. Dr. Ballard brings 25 years of construction industry expertise to his role and is a recognized expert in the area of project performance improvement.
I am the Interim University Librarian, a job I assumed when Bruce Miller, the Founding University Librarian, retired in May of 2011. Prior to that, I was the UCM Deputy University Librarian and have been with UCM Library since 2002, long before there was a campus, faculty, or students. In my current position I am ultimately responsible for library planning and strategy as well as the management of the library budget and staff. I am interested in a number of research areas related to libraries and information science and have published widely in these fields.
Brian A. Barsky is Professor of Computer Science and Affiliate Professor of Optometry and Vision Science at UC Berkeley. He attended McGill University, Montréal, received a D.C.S. in engineering and a B.Sc. in mathematics and computer science. He studied computer graphics and computer science at Cornell University, Ithaca, where he earned an M.S. degree. His Ph.D. degree is in computer science from the University of Utah, Salt Lake City. He is a Fellow of the American Academy of Optometry.
Peter Bartlett is a professor in the Division of Computer Science and Department of Statistics. He is the co-author of the book Learning in Neural Networks: Theoretical Foundations. He has served as associate editor of the journals Machine Learning, Mathematics of Control Signals and Systems, the Journal of Machine Learning Research, the Journal of Artificial Intelligence Research, and the IEEE Transactions on Information Theory.
Professor David Bates is currently working on two book projects. The first, States of War: Enlightenment Origins of the Political, uses close readings of Natural Law theory and Enlightenment political theory and contextual analysis of war and violence in Europe to argue for the invention of a new “concept of the political” in the Enlightenment. This autonomous idea of the political offers a new way of thinking about the perennial conflict between “constitutional” states and sovereign authority in crises.
The goal of my research program is to know how and why forests change. My efforts are guided by the conviction that our understanding must apply to specific forests with all the attendant complexities and idiosyncrasies. Thus robust, quantitative field studies form the core of my approach.
Research: Regulation of immune responses to pathogens with emphasis on influenza virus infection and HIV; mucosal immunology; respiratory tract immunology; molecular regulation of early B cell activation; and function and development of B-1 cells.
The focus of my research is algorithm design and implementation, specifically in the area of control and optimization. Since my arrival at UC Berkeley, I have been interested in the development of computationally efficient optimization-based control and estimation algorithms. I have applied them to systems modeled by partial differential equations (PDEs). My algorithms have been applied to three areas of Civil and Environmental Engineering:
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