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Address
Rare-event Simulation via State-dependent Importance Sampling (Tuesday 16.15 - 17.00) Click here for pdf file of the abstract Click here for pdf file of the slides Initial Transient Problem for Steady - state Output Analysis (Wednesday 17.00 - 17.45) Click here for pdf file of the abstract Click here for pdf file of the slides Short Bio Peter Glynn received his PhD from Stanford (1982). He is currently Thomas Ford Professor of Engineering at Stanford University. His research interests include discrete-event simulation, computational probability, queuing, and general theory for stochastic systems. Current applications areas include performance engineering for communications networks, control algorithms for wireless networks, and computational finance. He is in the editorial board of Mathematics of Operations Research, Journal of Applied Probability and Advances in Applied Probability. Next year his book Stochastic Simulation: Algorithms and Analysis (with Soren Asmussen), will appear. Peter Glynn was honored with the Eugene L. Grant Award for Excellence in Undergraduate Teaching.
MOR HARCHOL - BALTER Address Carnegie Mellon University Department of Computer Science Pittsburgh, PA 15213-3891 USA harchol@cs.cmu.edu http://www.cs.cmu.edu/~harchol/ Lectures Scheduling in Multiserver Systems: Approaches and Open Problems (Part I) (Tuesday 12.00 - 12.45) Click here for pdf file of the abstract Scheduling in Multiserver Systems: Approaches and Open Problems (Part II) (Wednesday 11.00 - 11.45) Click here for pdf file of the abstract Click here for the slides of both lectures Short Bio Mor Harchol-Balter is an Associate Professor of Computer Science at Carnegie Mellon University. She received her doctorate from the University of California at Berkeley. She is a recipient of the McCandless Chair, the NSF CAREER award, the NSF Postdoctoral Fellowship in the Mathematical Sciences, multiple best paper awards, and several teaching awards, including the Herbert A. Simon Award for Teaching Excellence. Professor Harchol-Balter is heavily involved in the ACM SIGMETRICS research community. Her work focuses on designing new scheduling/resource allocation policies for various distributed computer systems including Web servers, distributed supercomputing servers, networks of workstations, and database systems. Her work spans both queueing analysis and implementation and emphasizes integrating measured workload distributions into the problem solution.
TIM ROUGHGARDEN Address
Potential Functions and the Inefficiency of Equilibria I (Tuesday 11.00 - 11.45) Click here for pdf file of the abstract Potential Functions and the Inefficiency of Equilibria II (Wednesday 09.00 - 09.45) Click here for pdf file of the abstract Click here for the slides of both lectures
MOSHE TENNENHOLTZ Address
Ranking Systems (Tuesday 17.15 - 18.00) Click here for pdf file of the abstract Click here for pdf file of the slides Pre-Bayesian Games (Wednesday 12.00 - 12.45) Click here for pdf file of the abstract Click here for powerpoint file of the slides Short Bio Moshe Tennenholtz is a professor with the faculty of Industrial Engineering and Management at the Technion, where he holds the Sondheimer Technion Academic Chair. During 1999-2002 he has been visiting professor at Stanford CS department. Professor Tennenholtz received his B.Sc. in Mathematics from Tel-Aviv University (1986), and his M.Sc. and Ph.D. (1987, 1991) from the Department of Applied Mathematics and Computer Science in the Weizmann Institute. His area of research lies in the interface between Artificial Intelligence and Game Theory. Among his contributions, in joint work with colleagues and students, he introduced the theories of artificial social systems, co-learning, distributed games, and non-cooperative computing, the axiomatic approach to ranking systems, as well as the study of program equilibrium and learning equilibrium. Moshe Tennenholtz is the editor-in-chief of the Journal of Artificial Intelligence Research, as well as an associate editor of Games and Economic Behavior], the international journal of autonomous agents and multi-agent systems, and an editorial board member of the AI magazine, and of the Journal of Machine Learning Research.
SHUZHONG ZHANG Address
Optimized Randomness! Why and How? (Wednesday 10.00 - 10.45) Click here for pdf file of the abstract Click here for pdf file of the slides Ambiguity, Uncertainty, and Robust Optimization (Wednesday 16.00 - 16.45) Click here for pdf file of the abstract Click here for pdf file of the slides Short Bio Shuzhong Zhang is a full professor at Department of Systems Engineering & Engineering Management, The Chinese University of Hong Kong. Prior to this position, he served as a faculty member at Department of Econometrics, University of Groningen (1991 – 1993), and at Econometric Institute, Erasmus University Rotterdam (1993 – 1999) where he also received his Ph.D. degree in 1991. He received the Research Prize from Erasmus University in 1999, VC’s Exemplary Teaching Award from The Chinese University of Hong Kong in 2001, the SIAM Outstanding Paper Prize in 2003. He is elected Council Member-at-Large of the Mathematical Programming Society (2006 – 2009), and serves on the Editorial Board of Optimization and Engineering, SIAM Journal on Optimization, Pacific Journal on Optimization, and Operations Research. His research interests include conic optimization, robust optimization, randomization algorithms, and their applications in engineering, management, and economics.
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