Profile

Mohamed DAOUDI

Mohamed DAOUDI

IMT Nord Europe/ CRIStAL (UMR 9189)

Domain of Research: Computer Vision, Pattern Recognition, Statistical Shape Analysis, Deep Learning, Action recognition, Affective Computing, Emotion Recognition.

Mohamed Daoudi is a Full Professor of Computer Science at IMT Lille Douai and the Head of Image group at CRIStAL Laboratory (UMR CNRS 9189). He received his Ph.D. degree in Computer Engineering from the University of Lille (France) in 1993. His research interests include pattern recognition, shape analysis, computer vision and affective computing. He has published over 150 papers in some of the most distinguished scientific journals and international conferences. He is Associate Editor of Image and Vision Computing Journal, IEEE Trans. on Multimedia, Computer Vision and Image Understanding, IEEE Trans. on Affective Computing and Journal of Imaging. He has served as General Chair of IEEE International Conference on Automatic Face and Gesture Recognition, 2019. He is Fellow of IAPR and IEEE Senior member.