Ali H. Sayed served as Dean of Engineering at EPFL, Switzerland, during 2017-2025, where he also leads the Adaptive Systems Laboratory. He served before as Distinguished Professor and Chair of Electrical Engineering at UCLA
 where he was a faculty member for over two decades during the period 1996-2021. He is a member of the US National Academy of Engineering (NAE) and The World Academy of Sciences (TWAS). He served as President of the IEEE Signal Processing Society in 2018 and 2019, with close to 18,000 members worldwide.  An author of over 660 scholarly publications and 10 books, his research involves several areas including adaptation and learning theories, data and network sciences, statistical inference, and multi-agent systems. His work has been recognized with several major awards including the 2022 IEEE Fourier Technical Field Award and the 2020 IEEE Wiener Society Award, as well as the 2015 IEEE Education Award from the IEEE Signal Processing Society, the 2014 Papoulis Award from the European Association for Signal Processing, the 2013 Meritorious Service Award and the 2012 Technical Achievement Award from the IEEE Signal Processing Society, the 2005 Terman Award from the American Society for Engineering Education, the 2005 Distinguished Lecturer from the IEEE Signal Processing Society, the 2003 Kuwait Prize, and the 1996 IEEE Donald Fink Prize. He has been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015) and is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS)

Adaptation and learning theories, data and network sciences, statistical inference, adaptive networks, multi-agent systems, distribtued optimization.