UC Berkeley

Professor Emeritus of Political Science, UC Berkeley

Rhonda Righter is a Professor and past Chair of the Department of Industrial Engineering and Operations Research at the University of California, Berkeley. Before coming to Berkeley she taught at the Leavey School of Business at Santa Clara University. Her PhD is in Industrial Engineering and Operations Research from UC Berkeley, her BS is in applied math and business from Carnegie Mellon. Her primary research and teaching interests are in the general area of stochastic modeling and optimization, especially as applied to service, manufacturing, telecommunications, and grid computing systems. She is an associate editor for the Journal of Scheduling. She formerly served on the editiorial boards of Management Science, Operations Research, Operations Research Letters, and Queueing Systems. She is the past (founding) Chair of the Applied Probability Society of INFORMS.

Professor, School of Information, UC Berkeley

Dr. Ming Wu is Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley, and Co-Director of Berkeley Sensor and Actuator Center (BSAC). His research interests include optical MEMS (micro-electro-mechanical systems), optoelectronics, and biophotonics.

Professor of Electrical Engineering and Computer Sciences, UC Berkeley

Professor, EECS
University of California, Berkeley

Research interests:
BioMEMS, Drug Delivery Systems, Biofluid Dynamics, Mixing, Free Surface Flows/Spray, Advanced Heat Transfer

Professor of Architecture at UC Berkeley.

Associate Professor of Computer Science
University of California, Berkeley

The basic ideas underlying soft computing in current incarnation have links to many earlier influences, among them Prof. Zadeh’s 1965 paper on fuzzy sets; the 1973 paper on the analysis of complex systems and decision processes; and the 1979 report (1981 paper) on possibility theory and soft data analysis.
BISC Program is the world-leading center for basic and applied research in soft computing.

Professor Schruben is a Professor at the University of California, Berkeley and is considered one of the world’s foremost experts on simulation. His interests lie in optimization and design of experiments for complex systems, as well as optimization of hi-tech production and operations.

Phil Kaminsky is a professor in the Industrial Engineering and Operations Research Department at the University of California, Berkeley. He received his PhD in Industrial Engineering and Management Science from Northwestern University in 1997. Prior to that, he worked in production engineering and control at Merck and Co. His current research focuses on the analysis and development of robust and efficient techniques for the design and operation of logistics systems and supply chains.

Rob Leachman is a Professor of Industrial Engineering and Operations Research at the University of California, Berkeley. Dr. Leachman is the author of more than 50 technical publications and has supervised more than 30 PhD dissertations concerning production and operations management. He also is President and CEO of Leachman and Associates LLC, a firm providing consulting and software for operations management and logistics analysis to corporations and governments.

I work mainly on the design, analysis and control of stochastic systems such as communication andmanufacturing systems. However, a good part of my effort is directed towards developing methodologies tosimplify these tasks.

Jan holds the Donald O. Pederson Distinguished Professorship at the University of California at Berkeley. He is a founding director of the Berkeley Wireless Research Center (BWRC) and the Berkeley Ubiquitous SwarmLab, and has been the the Electrical Engineering Division Chair at Berkeley twice.

Edward G. Cahill and John R. Cahill Professor of Civil Engineering, UC Berkeley