Keynote Speakers
Keynote Speakers
Sofia Ben Jebara
Sup’Com, Tunisia
professor
Sofia Ben Jebara is a teacher-researcher at higher school of communication (SUP’COM) from Carthage university in Tunis-Tunisia, holding the position of professor within the mathematics, signals, and communications department since 2009. She received the ‘habilitation universitaire’ (french system) from the same institution in 2004 and engineering, master and Ph.D degrees in electrical engineering from national school of engineering of Tunis (ENIT) in 1990, 1991 and 1998 respectively. Her research primarily focuses on adaptive filtering, speech denoising, pathological voice analysis and enhancement, emotion detection from speech, physiological signals processing. She has designed and delivered a wide range of courses, including signal processing, speech and audio processing, intelligent multimedia processing, data mining, machine learning and artificial intelligence. She has held responsibilities such as director of the doctoral studies in information and communication technologies, master in telecommunication coordinator and founding member/head of research unit in high-speed ccommunications techniques and audio processing (TECHTRA) at SUP COM. She has demonstrated a strong commitment by actively and regularly participating in telecommunication engineering study program reform. She has leveraged her leadership role to establish a quality approach to that aims continuous improvement, international labeling, and certification of SUP COM.
Djemel Ziou
University of Sherbrooke, Canada
professor
Djemel Ziou is received the B.Eng. degree in computer science from the University of Annaba, Algeria and the Ph.D. degree in computer science from the Institut National Polytechnique de Lorraine (INPL), Lorraine, France, in 1991. From 1987 to 1993, he served as a Lecturer at several universities in France. During the same time, he was a Researcher in the Centre de Recherche en Informatique de Nancy (CRIN), Nancy, France, and the Institut National de Recherche en Informatique et Automatique (INRIA), France. Presently, he is a Full Professor at the Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada. He has been a visiting professor at the Chinese Academy of Sciences in Shenzhen, Paris-Sorbonne, Algerian Research Center in Industrial Technologies, Monastir University, Université Lorraine, INRIA Lorraine, and Sidi Mohamed Ben Abdellah University in Fez. He has served on numerous conference committees and international/national panels as member or chair. Professor Ziou was an expert for the European Research Council (ERC) under its Horizon 2020 program from 2014 to 2020. In 2016, he chaired the ERC’s panel of assessment of research in computer science between 2009 and 2014. He heads the laboratory MOIVRE and the consortium CoRIMedia, which he founded. He was the recipient of the prestigious NSERC research chair. His research interests include image processing, information retrieval, computer vision, and pattern recognition.
El Mustapha Mouaddib
University of Picardie Jules Verne, France
professor
Professor El Mustapha Mouaddib is a Full Professor at the University of Picardie Jules Verne (France) and the Director of the Federative Research Structure “Digital and Heritage”, which he established in 2016 to promote interdisciplinary research between digital sciences and cultural heritage preservation. His research focuses on omnidirectional vision, 3D vision, visual servoing, and the application of digital technologies to the mapping and study of architectural heritage. Since 2010, he has led the E-Cathédrale program, dedicated to the digital modeling of historical monuments for conservation and restoration purposes.Professor Mouaddib serves as the Coordinator of the “Digital” Working Group of the CNRS GDR MAESTRO, and he contributed to the scientific restoration project of Notre-Dame de Paris Cathedral, where he participated in assessing the monument’s condition after the 2019 fire through advanced numerical modeling. His international academic career includes appointments as Visiting Professor at the University of Osaka (Japan) in 2004, Inria Rennes (France)in 2010–2011, and the Queensland University of Technology (QUT), Brisbane (Australia) in 2018.He has supervised or co-supervised more than thirty Ph.D. theses and authored or co-authored over 130 scientific publications, including 36 journal papers and 99 international conference communications. Beyond academia, Professor Mouaddib actively promotes scientific outreach and heritage awareness, exemplified by the production of a digital capsule dedicated to the Hassan Mosque of Rabat, showcasing his commitment to bridging science, culture, and innovation.
Mohamed Daoudi
IMT Nord Europe, France
professor
Mohamed DAOUDI is a Full Professor of Computer Science at IMT Nord Europe and the Head of Image group at CRIStAL Laboratory (UMR CNRS 9189). His research interests include computer vision and machine learning for human behavior understanding. He has published over 150 papers in some of the most distinguished scientific journals and international conferences. He is/was Associate Editor of Image and Vision Computing, IEEE Transactions on Multimedia, IEEE Trans. on Affective Computing and Computer Vision and Image Understanding, Computers & Graphics, Guest Editor for Computer Vision and Image Understanding Special Issue on “Special Issue-Eyes on People Recent Trends on Human Analysis, Perception and Generation-CVIU”, Guest Editor for Image and Vision Computing On “Learning with Manifolds in Computer Vision”, Guest Editor for Sensors “Computer Vision in Human Analysis: From Face and Body to Clothes”, and Guest Editor for IEEE Transactions on Biometrics, Behavior and Identity Science on “Selected Best Works From Automated Face and Gesture Recognition 2019”. He was General Chair of IEEE International Conference on Automatic Face and Gesture Recognition IEEE FG 2019 and IEEE FG 2025, 3D Object Retrieval Symposium (2010, 2022, 2023), Shape Modeling International Conference (2015), has organized successful workshops in Face and Gesture Analysis for Health Informatics (FGAHI at CVPR 2023, ICMI 2020, CVPR 2019, FG 2018), Learning with few or without annotated face, body and gesture data (LFA at WACV 2023, IEEE FG 2024), Generation of Human Face and Body Behavior (GHB at WACV 2021, ICIAP 2023), Towards a Complete Analysis of People: From Face and Body to Clothes (T-CAP at ICIAP 2022, ICPR 2022, ECCV 2022), Manifold Learning, From Euclid to Riemann (ManLearn at ICPR 2021, ICCV 2017), and has served as area chair at 3DV 2021, IEEE FG 2024, ACM Multimedia (2021, 2022, 2023, 2024), EUSIPCO (2013, 2015). He is IAPR Fellow, a IEEE senior member, an ACM member, and a member of the European Laboratory for Learning and Intelligent Systems (ELLIS). Professor DAOUDI has graduated 30 doctoral and served on numerous other graduate student committees. Many of his students have gone on to successful in careers in industry, academia.