of the national Statistical and Applied Mathematical Sciences Institute since 2002. He was the president of the Institute of Mathematical Statistics (1995-1996), chair of the Section on Bayesian Statistical Science of the American Statistical Association (1995), and president of the International Society for Bayesian Analysis (2004). He has been involved in numerous editorial activities, including co-editorship of the Annals of Statistics (1998-2000). He has organized or participated in the organization of more than 35 conferences. Among the awards and honors that Professor Berger has received are Guggenheim and Sloan Fellowships, the COPSS [Committee of Presidents of Statistical Societies] President’s Award (1985), the Sigma Xi Research Award at Purdue University for contribution of the year to science (1993), the Fisher Lectureship (2001), election as a foreign member of the Spanish Real Academia de Ciencias (2002), election to the U.S. National Academy of Sciences (2003), an honorary doctor of science degree from Purdue University (2004), and the Wald Lectureship (2007). Professor Berger’s research has been primarily in Bayesian statistics, foundations of statistics, statistical decision theory, simulation, model selection, and various interdisciplinary areas of science and industry, especially astronomy and the interface between computer modeling and statistics. He has supervised 31 Ph.D. dissertations, published more than 160 articles, and written or edited 14 books or special volumes.

DEREK BINGHAM is an associate professor and the Canada Research Chair in Industrial Statistics in the Department of Statistics and Actuarial Science at Simon Fraser University. He received his Ph.D. from the Department of Mathematics and Statistics at Simon Fraser University in 1999. After graduation he joined the Department of Statistics at the University of Michigan as an assistant professor, returning to Simon Fraser in 2003. In addition, he has held a faculty affiliate position at the Los Alamos National Laboratory. The main focus of Dr. Bingham’s research is the development of statistical methodology for the design and analysis of industrial and physics experiments. This work focuses on developing new methodology for (1) the design and analysis of computer experiments and (2) the design and analysis of experiments in industrial problems such as optimal screening designs, response surface optimization, and optimal robust parameter designs for product variation reduction.

WEI CHEN is the Wilson-Cook Chair and Professor in Engineering Design at Northwestern University. She is affiliated with the Segal Design Institute as a faculty fellow and is a professor in the Department of Mechanical Engineering, with a courtesy appointment in the Department of Industrial Engineering and Management. As a director of the Integrated Design Automation Laboratory, her current research involves issues such as simulation-based design under uncertainty, model validation, stochastic multiscale analysis and design, robust shape and topology optimization, multidisciplinary optimization, consumer choice modeling, and enterprise-driven decision-based design. She is the co-founder and director of the interdisciplinary doctoral cluster in predictive science and engineering design at Northwestern University, a program aiming for integrating scientific, physics-based modeling, and simulation into the design of innovative “engineered” systems. Dr. Chen is the recipient of a 1996 National Science Foundation Faculty Early Career Award and the 1998 American Society of Mechanical Engineers (ASME) Pi Tau Sigma Gold Medal achievement award. She is also a recipient of the 2005 Intelligent Optimal Design Prize and the 2006 Society of Automotive Engineering (SAE) Ralph R. Teetor Educational Award. Dr. Chen is a fellow of ASME, an associate fellow of the American Institute of Aeronautics and Astronautics, and a member of SAE. She is an elected member of the ASME Design Engineering Division Executive Committee and an elected Advisory Board member of the Design Society, an international design research community. She is an associate editor of the ASME Journal of Mechanical Design and serves as the review editor of Structural and Multidisciplinary Optimization. In the past, she served as the chair and a member of the ASME Design Automation Executive Committee (2002-2007) and was an associate editor of the Journal of Engineering Optimization.

ROGER GHANEM is the Gordon S. Marshall Professor of Engineering Technology in the Viterbi School at the University of Southern California (USC). Dr. Ghanem has a Ph.D. in civil engineering from Rice University and had served on the faculty of the Schools of Engineering at SUNY [State University of New York]-Buffalo and Johns Hopkins University before joining USC in 2005. Dr. Ghanem’s research is mainly in the area of computational science and engineering with a focus on uncertainty quantification and prediction validation in complex systems. His recent interests include the sustainability of coupled interacting systems such as the SmartGrid and the interface of

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