Munther A. Dahleh
Professor
Computer Science and Engineering
Massachusetts Institute of Technology (MIT)
United States of America
Biography
Professor Dahleh joined LIDS as an assistant professor of EECS in 1987 and became a full professor in 1998. He spent the spring of 1993 as a visiting professor in the Department of Electrical Engineering, California Institute of Technology and has held consulting positions with several companies in the U.S. and abroad. Dr. Dahleh is interested in problems at the interface of robust control, filtering, information theory, and computation, which include control problems with communication constraints and distributed mobile agents with local decision capabilities. His interests include problems in network science, such as distributed computation over noisy networks and information propagation over complex social networks. He also studies model reduction problems for discrete-alphabet hidden Markov models and universal learning approaches for systems with both continuous and discrete alphabets. His research includes the interface between systems theory and neurobiology, and in particular, providing an anatomically consistent model of the motor control system. Professor Dahleh joined LIDS as an assistant professor of EECS in 1987 and became a full professor in 1998. He spent the spring of 1993 as a visiting professor in the Department of Electrical Engineering, California Institute of Technology and has held consulting positions with several companies in the U.S. and abroad. Dr. Dahleh is interested in problems at the interface of robust control, filtering, information theory, and computation, which include control problems with communication constraints and distributed mobile agents with local decision capabilities. His interests include problems in network science, such as distributed computation over noisy networks and information propagation over complex social networks. He also studies model reduction problems for discrete-alphabet hidden Markov models and universal learning approaches for systems with both continuous and discrete alphabets. His research includes the interface between systems theory and neurobiology, and in particular, providing an anatomically consistent model of the motor control system.
Research Interest
RESEARCH AREAS Computer Architecture Programming Languages & Software Security & Cryptography Systems & Networking
