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Fu Elected IEEE Fellow

Fu Elected IEEE Fellow

Prof. Michael Fu
Prof. Michael Fu

Professor Michael Fu (Smith/ECE/ISR) has been elected as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the world's leading professional association for the advancement of technology. He was recognized for his contributions to stochastic gradient estimation and simulation optimization.

Fu is the Ralph J. Tyser Professor of Management Science in the Decision and Information Technologies Department of the University of Maryland's Robert Smith School of Business and holds a joint appointment with the Department of Electrical and Computer Engineering and the Institute for Systems Research. He received his M.S. and PhD. degrees in applied mathematics from Harvard University in 1986 and 1989, respectively. He received B.S. and M.S. degrees in electrical engineering and a B.S. degree in mathematics from the Massachusetts Institute of Technology in 1985. He has been at the University of Maryland since 1989.

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 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 20, 2007


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