William S. Levine
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Research Professor, Electrical and Computer Engineering 301/405-3654 TEL |
Research Interests
Applying modern control theory to the study of the nervous system's control of movement; control theory and its applications with emphasis on computer aided control system design; application of computers and computation to network control; applications of modern control and estimation theory to biomedical and aerospace problems
Background Information
Dr. Levine is Research Professor of Electrical and Computer Engineering at the University of Maryland. He specializes in systems, control and estimation. He is engaged in research on control systems design (including specific applications to autonomous vehicles and to control over networks), and on the analysis and synthesis of biomechanical controls, and signal processing of biomechanical signals, with specific application to the biomechanics of the human tongue.
Dr. Levine received his S.B., S.M. and Ph.D. degrees from MIT in Electrical Engineering. His Ph.D. thesis was entitled "Optimal Output Feedback Controllers for Linear Systems." He is a Fellow of the IEEE, a Distinguished Member of the IEEE Control Systems Society and a recipient of the IEEE's 3rd Millenium Medal. He is a past president of the IEEE Control Systems Society.
He has been an associate editor of the IEEE Transactions on Automatic Control, an editor of Automatica for Rapid Publications, program and, later, general chairman of the IEEE Conference on Decision and Control (CDC), and a member of the board of governors of the IEEE Control Systems Society. He is currently vice president of the American Automatic Control Council (AACC).
Dr. Levine has over 100 publications dealing with control and estimation theory and their application to practical problems. He is the co-author of the book Using MATLAB to Analyze and Design Control Systems published by Benjamin/Cummings. He is the editor of The Control Handbook published by CRC Press. He is also the editor of a series of books on control engineering for Birkhauser.
One of his papers, "Discrete Time Point Processes in Urban Traffic Queue Estimation" (co-authored with J.S. Baras and T.S. Lin) received a biannual award as the best paper in the IEEE Transactions on Automatic Control.
Links
Electrical
and Computer Engineering Department
Undergraduate Controls Laboratory
Neural Systems Lab
Neuroscience and Cognitive Science Program
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