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Professor Michael Fu (Robert H. Smith School of Business/ISR) has been elected as a Fellow of the IEEE effective January 1, 2008. His citation will read "for contributions to stochastic gradient estimation and simulation optimization."
Fu's research interests are in simulation modeling and analysis; production/inventory control; applied probability and queueing theory; stochastic derivative estimation, simulation optimization of discrete-event systems, Markov decision processes; with application to supply chain management and financial engineering.
He is the Ralph J. Tyser Professor of Management Science in the Decision and Information Technologies Department of the Smith School and holds a jiont appointment with the Institute for Systems Research. He is also an affiliate faculty member in the Electrical and Computer Engineering Department. He received his M.S. and PhD. degrees in applied mathematics from Harvard University in 1986 and 1989, respectively. He received S.B. and S.M. degrees in electrical engineering and a S.B. degree in mathematics from the Massachusetts Institute of Technology in 1985. He has been at the University of Maryland since 1989.
He is the co-author (with Jian-Qiang Hu) of the book, Conditional Monte Carlo: Gradient Estimation and Optimization Applications (1997), which received the 1998 INFORMS College on Simulation Outstanding Publication Award. In 2002, he received ISR's Outstanding Systems Engineering Faculty Award, and in 2004-2005 he received the University of Maryland's Distinguished Scholar-Teacher Award.
November 15, 2007
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