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Professor J. George Shanthikumar
Dr. Shanthikumar is Professor of Industrial Engineering and Operations Research in the college of Engineering at the University of California, Berkeley. His research interests are in production and service systems modeling and analysis, queueing theory, reliability, scheduling, stochastic processes, simulation and supply chain management. He has written or written jointly over 250 technical papers on these topics. He is a coauthor (with John A. Buzacott) of the book Stochastic Models of Manufacturing Systems and a coauthor (with Moshe Shaked) of the book Stochastic Orders and Their Applications.
He is (or was) a member of the editorial boards of the IIE Transactions on Design and Manufacturing, International Journal of Flexible Manufacturing Systems, Journal of Discrete Event Dynamic Systems, Journal of Production and Operations Management, Operations Research, Operations Research Letters, OPSEARCH, Probability in the Engineering and Informational Sciences, and Queueing Systems: Theory and Applications.
For the past ten year Professor Shanthikumar has consulted leading semiconductor equipment manufacturers on the economics of process control in semiconductor manufacturing.
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Dr. Dadi Gudmundsson has researched and worked in semiconductor yield management for the past fourteen years. His primary focus has been the field of semiconductor inspection capacity planning. In this new field his experience includes algorithm research, software development, and consulting service deployment. Other related experience includes test structure based yield learning systems and defect detection algorithms for scanning electron microscopes.
Dr. Mike Tao Zhang has worked in semiconductor manufacturing for the past nine years. Most recently he was a Senior Manager/Director of Automation & Industrial Engineering at Spansion's Submicron Development Center. In that function he managed a division of two departments (Automation; Automated Material Handling System) and two groups (IE/Decision Support Systems; Fab Logistics). Before his position at Spansion, Dr. Zhang served in several roles over a five year span with Intel. His positions at Intel included Senior Automation Engineer, Flash factory IE manager, systems IE manager, department manager, and staff technologist. During this time he worked in multiple Intel factories in the US and Asia. At both Spansion and Intel, Dr. Zhang and his team received several awards and recognitions for the implementations of automation and productivity systems. He is also the recipient of the IEEE RAS Early Career Award and the IIE Outstanding Young Industrial Engineer Award.
Dr. Kan Wu worked in semiconductor manufacturing for nine years before attending Georgia Tech for his Ph.D. degree. He received a B.S. degree in nuclear engineering from National Tsinghua University, Taiwan. He received a M.S. degree in Industrial Engineering and Operations Research, a M.E. degree in nuclear engineering from the University of California, Berkeley, and a Ph.D. degree in Industrial and Systems Engineering from Georgia Tech. He has been a senior engineer with Tefen, Ltd., and Taiwan Semiconductor Manufacturing Company. In 2003, he joined Inotera Memories Inc. as an IE manager. His position at Inotera included the master schedule control for constructing a new 10 billion 300mm fab, productivity improvement, layout design and simulations. Dr. Wu holds six US patents, and is a reviewer for several international journals. His current research focuses on quantifying and optimizing the performance of manufacturing systems.