
Mounir Ghogho
Title
Frugal and Open-Source AI for Inclusive and Transformative Impact
Abstract
This talk explores how combining frugal AI techniques with open-source development can help make AI more accessible, transparent, and equitable. It focuses on recent advances that reduce the cost of both training and inference, making it possible to develop and deploy AI systems in resource-constrained settings. These concepts will be illustrated through real-world examples.
Biography
Mounir Ghogho received his PhD in Signal Processing from the National Polytechnic Institute of Toulouse, France, in 1997. He was a Research Fellow at the University of Strathclyde (Scotland) before joining the University of Leeds (England), where he became Full Professor and Head of the Signal Processing and Communications Group in 2008. In 2010, he joined the International University of Rabat as Founding Director of TICLab and Dean of the College of Doctoral Studies, while maintaining an affiliation with the university of Leeds. In March 2025, he joined the College of Computing at UM6P. His research focuses on machine learning and statistical signal processing, with applications in wireless communications, robotics, cybersecurity, and healthcare. He has published over 400 papers, supervised more than 50 PhD students, and led over 20 research projects funded by institutions such as the US Army Research Lab, EU Commission, NATO, USAID, IBM, Google, and The Academy Hassan II for Sciences and Techniques. He received the Royal Academy of Engineering Research Fellowship in 2000 and the IBM Faculty Award in 2013. He was elevated to IEEE Fellow in 2018, AAIA Fellow in 2021, and TWAS Fellow in 2024. He has served on editorial boards of leading journals, including IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine, and is currently Subject Editor for Elsevier’s Signal Processing. He served as General Chair of IEEE SPAWC 2010 and EUSIPCO 2023, and has held visiting positions NII (Japan), TU-Darmstadt (Germany), BUPT (China), Télécom Paris-Tech (France), UC3M (Spain), University of Minnesota (USA), and the US Army Research Lab.