ECE FACULTY

Michael Fu

Title: Professor
Areas/Affiliations: BUS, ISR, ECE
E-mail: mfu@umd.edu
Phone: (301)405-2241
Office: 4305 Van Munching Hall

Website:
http://www.rhsmith.umd.edu/dit/faculty/fu.html
http://www.rhsmith.umd.edu/faculty/mfu/fu.htm

Biography:

Fu has a joint appointment with the Institute for Systems Research and an affiliate appointment with the Department of Electrical and Computer Engineering, both in the Clark School of Engineering. He was named a Distinguished Scholar-Teacher at the University of Maryland for 2004-2005. His research interests include simulation modeling and analysis, production/inventory control, applied probability and queueing theory, with application to manufacturing and finance. He is co-author of the book, Conditional Monte Carlo: Gradient Estimation and Optimization Applications, which was awarded the INFORMS College on Simulation Outstanding Publication Award in 1998. Other awards include the Business School's Allen J. Krowe Award for Teaching Excellence (1995), the Institute for Systems Research Outstanding Faculty Award (2002), the IIE Operations Research Division Award (1999), an Operations Research Meritorious Service Award (1999), and an IIE Transactions Best Paper Award (1998). 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 was also Guest Editor of a special issue on simulation optimization for the ACM Transactions on Modeling and Computer Simulation. His research has been sponsored by grants from the National Science Foundation, the Semiconductor Research Corporation, International SEMATECH, and the Air Force Office of Scientific Research.

Research Interests:

Simulation modeling and analysis, production/inventory control, applied probability, and queueing theory; stochastic derivative estimation and simulation optimization of discrete-event systems; with application to supply chain management and financial engineering.

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