Ali H. Sayed
Ali H. Sayed is Professor and Chairman of Electrical Engineering at UCLA, where he also directs the UCLA Adaptive Systems Laboratory (www.ee.ucla.edu/asl). He received the degrees of Engineer and MS in Electrical Engineering from the University of São Paulo, Brazil. He received his PhD in Electrical Engineering from Stanford University in 1992.
Dr. Sayed has published widely in archival journals and conference proceedings with over 250 articles and 4 books. In particular, he is the author of the textbook Fundamentals of Adaptive Filtering, which was published by Wiley in 2003. The book provides one of the most comprehensive and up-to-date treatments of adaptive system analysis and design. He is also the co-author of the textbook Linear Estimation (Prentice Hall 2000), which is used as a prime reference on estimation theory and filtering algorithms. He has contributed several articles to engineering and mathematical encyclopedias and handbooks, and has served on the editorial boards of several leading scientific journals. He served as the Editor-in-Chief of the IEEE Transactions on Signal Processing (2003-2005) and is currently serving as the Editor-in-Chief of the EURASIP Journal on Applied Signal Processing. During 2005, he served as a Distinguished Lecturer of the IEEE Signal Processing Society. He has consulted with industry on different aspects of adaptation, estimation, and communication system design. His research group has been awarded honors and recognitions including several IEEE Best Paper Awards (1996,2002,2005), the Terman Award (2005), and the Kuwait Prize (2003). He is a Fellow of IEEE for his contributions to adaptive algorithms and estimation theory. Dr. Sayed's research interests span several areas including adaptive and statistical signal processing, estimation and filtering theories, distributed processing, and signal processing for communications.
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