BIOGRAPHICAL SKETCH

Professor Michael Fu

Michael C. Fu is a Professor in the Robert H. Smith School of Business, with a joint appointment in the Institute for Systems Research, and an affiliate faculty position in the Department of Electrical and Computer Engineering, all at the University of Maryland. He received his bachelor's degree in mathematics and bachelor's/master's degrees in EE/CS from MIT, and a master's and Ph.D. in applied mathematics from Harvard University.

His research interests include simulation and applied probability modeling, particularly with applications towards manufacturing systems and financial engineering. He teaches courses in applied probability, stochastic processes, simulation, computational finance, and supply chain/operations management and in 1995 was awarded the Maryland Business School's Allen J. Krowe Award for Teaching Excellence.  He is co-author of the book, Conditional Monte Carlo:  Gradient Estimation and Optimization Applications, which received the INFORMS College on Simulation Outstanding Publication Award in 1998. Other awards include the IIE Operations Research Division Award in 1999, an Operations Research Meritorious Service award, and an IIE Transactions Best Paper Award.

He is currently the Simulation Area Editor of Operations Research, and serves (or has recently served) on the editorial boards of Management Science, INFORMS Journal on Computing, IIE Transactions, and Production and Operations Management. He is also Guest Editor of a special issue on simulation optimization for the ACM Transactions on Modeling and Computer Simulation. The National Science Foundation, the Semiconductor Research Corporation, and the Air Force Office of Scientific Research have all sponsored his research.