Marcus, Steven

Research Interests
Control and systems engineering, analysis and control of stochastic systems, Markov decision processes, stochastic and adaptive control, learning, fault detection, and discrete event systems, with applications in manufacturing and communication networks
Video
Background
Steve Marcus received his Ph.D. and S.M. from the Massachusetts Institute of Technology in 1975 and 1972, respectively. He received a B.A. from Rice University in 1971. From 1975 to 1991, he was with the Department of Electrical and Computer Engineering at the University of Texas at Austin, where he was the L.B. (Preach) Meaders Professor in Engineering. He was associate chair of the Department from 1984-89.
In 1991, he joined the University of Maryland, where he was director of the Institute for Systems Research until 1996. He is currently a Professor in the Electrical and Computer Engineering Department and the Institute for Systems Research. Most recently he served as the chair of the Electrical and Computer Engineering Department.
Honors and Awards
Fellows
Institute of Electrical and Electronics Engineers, 1986
Society for Industrial and Applied Mathematics, 2009
University of Maryland awards
Poole & Kent Teaching Award, 2013
Distinguished Scholar-Teacher Award, 2000
Outstanding Systems Engineering Faculty Award, 1998
Research Awards
- Particle Filtering for Stochastic Control and Global Optimization
- Next-Generation Model Checking and Abstract Interpretation with a Focus on Embedded Control and Systems Biology
- Combining Gradient and Adaptive Search in Simulation Optimization
- NSF: A New Approach to Nonconvex Risk-Sensitive Stochastic Optimization
- NSF CPS Breakthrough: Compositional Modeling of Cyber-Physical Systems
- AFOSR: Simulation-Based and Risk-Sensitive Methodologies for Stochastic Optimization and Control
Research Posters
- Simulation-Based Methods for Control and Optimization
- The Maryland Governor’s Institute of Technology: The Electrical and Computer Engineering Technical Program
- Materials, Nano, & Bio Research for Systems
- Solving Continuous-State POMDPs via Density Projection
- Simulation-based methods for control and optimization
- Generalized synchronization trees
- Cyber-Physical Systems: Compositionality and Opacity