UCLA (distinguished professor and former chair of electrical engineering), IEEE (President of the IEEE Signal Processing Society), EPFL (dean of engineering)
Ali H. Sayed (born São Paulo, Brazil, to parents of Lebanese descent) is the dean of engineering at EPFL (École polytechnique fédérale de Lausanne), where he teaches and conducts research on Adaptation, Learning, Statistical Signal Processing, and Signal Processing for Communications. He is the Director of the EPFL Adaptive Systems Laboratory.[1] He has authored several books on estimation and filtering theories, including the textbook Adaptive Filters, published by Wiley & Sons in 2008.
Professor Sayed received the degrees of Engineer and Master of Science in Electrical Engineering from the University of São Paulo, Brazil, in 1987 and 1989, respectively, and the Doctor of Philosophy degree in electrical engineering from Stanford University in 1992.
Awards and honors
Sayed was elected a member of the National Academy of Engineering in 2018 for contributions to the theory and applications of adaptive signal processing.
He served as Editor-in-Chief of the IEEE Transactions on Signal Processing (2003–2005) and the EURASIP[13] Journal on Advances in Signal Processing (2006–2007).
Thomas Kailath and Ali H. Sayed, editors, Fast Reliable Algorithms for Matrices with Structure, Society for Industrial & Applied Mathematics (SIAM), PA, 1999[17] (ISBN0-89871-431-1).
Babak Hassibi, Ali H. Sayed, and Thomas Kailath, Indefinite Quadratic Estimation and Control: A Unified Approach to H2 and H∞ Theories, Society for Industrial & Applied Mathematics (SIAM), PA, 1999[18] (ISBN978-0-89871-411-1).