Fu, Michael
Smith Chair of Management Science
The Institute for Systems Research
Electrical and Computer Engineering
Michael Fu holds the Smith Chair of Management Science in the Robert H. Smith School of Business, Department of Decision, Operations & Information Technologies and 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 A. James 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, supply chain management, and financial engineering.
He is co-author of the books, Conditional Monte Carlo: Gradient Estimation and Optimization Applications (1997), which was awarded the INFORMS College on Simulation Outstanding Publication Award in 1998, and Simulation-Based Algorithms for Markov Decision Processes (2007, 2nd edition 2013). He also co-edited the books Perspectives in Operations Research, Advances in Mathematical Finance, and the Encyclopedia of Operations Research and Management Science (3rd edition, 2 volumes), and edited the Handbook of Simulation Optimization. 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), an IIE Transactions Best Paper Award (1998), two Best Theoretical Paper and one runner-up Awards from the Winter Simulation Conference (2009, 2012, 2019), and the INFORMS College on Simulation Outstanding Publication Award again in 2019.
He served as the Stochastic Models and Simulation Department Editor of Management Science from 2006-2008 and as the Simulation Area Editor of Operations Research from 2000-2005, and on the editorial boards of Mathematics of Operations Research, INFORMS Journal on Computing, IIE Transactions, and Production and Operations Management. He was also Guest co-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. He served as Operations Research Program Director at the National Science Foundation 2010-2012 and 2015. He is a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute for Electrical and Electronics Engineers (IEEE). In 2018 he received the INFORMS Simulation Society's Distinguished Service Award.
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
New features on ingestible capsule will deliver targeted drugs to better treat IBD, Crohn’s disease
Latest iteration of medical device features dissolving microneedles for drug delivery; external magnetic controlTeaching Students Specialized Skills for Success
The University of Maryland DREEM program sets students up for a career in the microelectronics industryECE Names 2023-2024 Distinguished Dissertation Fellows
Fellowship recognizes excellence in research2024 ECE Undergraduate Awards Announced
Students Recognized at 2024 Clark School Honors & Awards CeremonyDinesh Manocha Inducted into IEEE VGTC Virtual Reality Academy
Manocha has been recognized for his significant contributions to the field of virtual reality.Reinforcement learning is a game for Kaiqing Zhang
Zhang's research lies at the intersection of machine learning, reinforcement learning, game theory, and control theory.MRC Faculty, Researchers, and Students Present 24 Papers at ICRA 2023
MRC researchers have a strong showing at ICRA 2023.New ‘FRRB’ packaging technology may solve an ingestible capsule challenge
The innovation, which protects fragile components, has been published in the Nature journal Microsystems & Nanoengineering.Institute of Electrical and Electronics Engineers (IEEE)
- Fellow, 2007
- Fellow, 2007