Mohammed El Hassouni is a full Professor of computer science at the Mohammed V University in Rabat. He received the Ph.D. degree in computer science from the University of Burgundy in 2005. His Ph.D. dissertation concerned the proposition of new method using higher order statistics for video denoising in a severely corrupted environment. He also received the Habilitation degree from Mohammed V University in 2012. He led and participated in several national and international research projects. He supervised more than 15 Ph.D. and Master Students in the area of image & video processing. His current research interests include the modelling and analysis of nD images. Especially, for visual quality assessment and medical imaging. He authored and co-authored numerous original journals and proceeding articles. He serves as a reviewer for major conferences and journals in the field of medical image analysis and pattern recognition. He is a member of IEEE, IEEE Signal Processing Society, INNS Moroccan chapter and several conferences program committee. He co-chaired the COMBI 2017, ACMMIPH 2018, COMBI 2019 and CIVIA 2020 tracks of ACM-SAC and, co-edited different Special Issues (JEI SPIE; “Perceptually Driven Visual Information Analysis”, MTAP Springer; “Advances in Computational intelligence for Multimodal Biomedical Imaging”). In 2024, he is a local co-chair of MICCAI and a general co-chair of IPTA 2024.