Ali H. SayedAli H. Sayed is Dean of Engineering at EPFL, Switzerland, where he also leads the Adaptive Systems Laboratory. He has also served as Distinguished Professor and Chairman of Electrical Engineering at UCLA. He is recognized as a Highly Cited Researcher and is a member of the US National Academy of Engineering. He is also a member of the World Academy of Sciences and served as President of the IEEE Signal Processing Society during 2018 and 2019.
Dr. Sayed is an author/co-author of over 570 scholarly publications and six books. His research involves several areas
including adaptation and learning theories, data and network sciences, statistical inference, and multiagent systems.
His work has been recognized with several major awards including the 2022 IEEE Fourier Award, the 2020 Norbert Wiener Society Award and the 2015 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 G. Fink Prize. His publications have been awarded several Best Paper Awards from the IEEE (2002, 2005, 2012, 2014) and EURASIP (2015). He is a Fellow of IEEE, EURASIP, and the American Association for the Advancement of Science (AAAS); the publisher of the journal Science.
Guillermo Ortiz JimenezI received my BSc. in telecommunications engineering (Valedictorian) from Universidad Politecnica de Madrid (UPM), Spain, in June 2015, and my MSc. in electrical engineering (Best Graduate, cum laude) from Delft University of Technology (TU Delft), The Netherlands, in August 2018. During my studies, I held positions at the Microwaves and Radar Group of UPM during 2015-2016 and at Philips Healthcare Research in Hamburg (Germany) during summer 2017. I am now working towards my PhD. thesis at the Signal Processing Laboratory 4 under the supervision of Prof. Pascal Frossard. My current research focuses on understanding deep learning by studying the complex interactions between datasets, architectures and optimization. In my work, I am providing a novel framework to design better and more reliable neural networks that exploit prior knowledge about the world. I am the recipient of a National Award for Excellence in Academic Performance from the Ministry of Education of Spain, a la Caixa Postgraduate Fellowship, and the Best Graduate award both at UPM and TU Delft.
