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)Editorial Services Founding Editor-in-Chief, Open Access Book Series on Information and Learning Sciences, NOW, 2021-Editor-in-Chief, EURASIP Journal on Advances in Signal Processing, Jan. 2006-Dec. 2007.Editor-in-Chief, IEEE Transactions on Signal Processing, Jan. 2003-Dec. 2005.Member of several editorial boards.Co-editorship of several special issues.Honors & Recognitions IEEE Fourier Award, 2022.World Academy of Sciences, 2021.Norbert Wiener Society Award, IEEE Signal Processing Society, 2020.Fellow, European Association for Signal Processing, 2019US National Academy of Engineering, 2018.Education Award, IEEE Signal Processing Society, 2015.Leverhulme Visiting Professorship, United Kingdom, 2013-2015Papoulis Award, European Association for Signal Processing, 2014.Meritorious Service Award, IEEE Signal Processing Society, 2013.Fellow, American Association for the Advancement of Science, 2013.Technical Achievement Award, IEEE Signal Processing Society, 2012.Terman Award, American Society for Engineering Education, 2005.Distinguished Lecturer, IEEE Signal Processing Society, 2005Kuwait Prize in Basic Sciences, 2003Fellow, IEEE, 2001IEEE Donald G. Fink Prize, 1996Several Best Paper AwardsSeveral Plenary LecturesHighly Cited ResearcherResearch Adaptation and learning theories, data and network sciences, statistical inference, adaptive networks, multi-agent systems, distribtued optimization.
Teaching & PhD PhD Students Malek Khammassi, Haoyuan Cai, Yike Zhao Past EPFL PhD Students Virginia Bordignon, Elsa Rizk, Valentina Shumovskaia, Ainur Zhaikhan, Kayaalp Mert, Ying Cao, Ping Hu Courses Adaptation and learning EE-566 In this course, students learn to design and master algorithms and core concepts related to inference and learning from data and the foundations of adaptation and learning theories with applications.
Awards 2022 IEEE Fourier Award 2021
