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Ali H. Sayed, Professor and Chairman Terman Award, 2005 Research Group: Adaptive Systems Laboratory Office: 58-121 Engr. IV, Phone: 310.267.2142, Email Biography Ali H. Sayed was born in Brazil and educated in Lebanon and Brazil. He received the degrees of Engineer and M.S. in Electrical Engineering from the University of São Paulo, Brazil. He received his Ph.D. in Electrical Engineering from Stanford University in 1992. He has been on the faculty of the UCLA Electrical Engineering Department since 1996, where he established and directs the Adaptive Systems Laboratory. He served as Vice-Chair of Undergraduate Affairs (2002-2005) and is currently the EE Department Chair. Prof. Sayed has published widely in archival journals and conference proceedings. He is the author of the textbooks Adaptive Filters (Wiley, NJ, 2008), Fundamentals of Adaptive Filtering (Wiley, NJ 2003), and co-author of the graduate-level textbook Linear Estimation (Prentice Hall, NJ 2000) and the research monograph Indefinite Quadratic Estimation and Control (SIAM, PA 1999). He is co-editor of Fast Reliable Algorithms for Matrices with Structure (SIAM, 1999). He has also contributed several articles to engineering and mathematical encyclopedias and handbooks. Professor Sayed has served on the program committees of several international meetings. He also served on the editorial boards of several journals. He was Editor-in-Chief of the IEEE Transactions on Signal Processing (2003-2005) and the EURASIP Journal on Advances in Signal Processing (2006-2007). Professor Sayed served as a Distinguished Lecturer of the IEEE Signal Processing Society in 2005. He was also a member of the Publications (2003-2005) and Award (2005) Boards of the same Society, and sits on the the Board of Governors (2007-present) of the society. He served as General Chairman of ICASSP 2008 and is currently Vice-President-Elect (Publications) of the IEEE Signal Processing Society. Research Interests Adaptive and statistical signal processing, adaptive networks, distributed processing, filtering and estimation, signal processing for communications, wireless networks, algorithms for large-scale structured computations. Awards and Recognitions
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