Prakash Narayan
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Professor 301/405-3661 TEL |
Research Interests
Multiuser information theory and coding for communications networks. He studies probabilistic models for compression of multiple signals, reliable transmission among several users and secure communication. Objectives include characterizations of the fundamental limits of performance, and analysis of coding, modulation and signal processing techniques.
Background Information
Prakash Narayan received the Bachelor of Technology degree in Electrical Engineering from the Indian Institute of Technology, Madras in 1976, and the M.S. and D.Sc. degrees in Systems Science and Mathematics, and Electrical Engineering, respectively, from Washington University, St. Louis, MO., in 1978 and 1981.
He is Professor of Electrical and Computer Engineering at the University of Maryland, College Park, with a joint appointment at the Institute for Systems Research. He is also a founding member of the Maryland Hybrid Networks Center (formerly the Center for Satellite and Hybrid Communication Networks), a NASA Commercial Space Center. He has held visiting appointments at ETH, Zurich; the Technion, Haifa; the Renyi Institute of the Hungarian Academy of Sciences, Budapest; the University of Bielefeld; the Institute of Biomedical Engineering (formerly LADSEB), Padova; and the Indian Institute of Science, Bangalore.
Dr. Narayan has served as Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory; Co-Organizer of the IEEE Workshop on Multi-User Information Theory and Systems, VA (1983); Technical Program Chair of the IEEE/IMS Workshop on Information Theory and Statistics, VA (1994); General Co-Chair of the IEEE International Symposium on Information Theory, Washington, D.C. (2001); and Technical Program Co-Chair of the IEEE Information Theory Workshop, Bangalore (2002). He is a Fellow of the IEEE.
Links
Electrical
and Computer Engineering Department
Neural
Systems Lab
Maryland Hybrid Networks Center
Systems
Engineering and Integration Lab
Communications
and Signal Processing Lab
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