- Thierry Bouwmans (http://sites.google.com/site/thierrybouwmans/) is an Associate Professor at the University of La Rochelle, France. His research interests consist mainly in the detection of moving objects in challenging environments. He has recently authored more than 30 papers in the field of background modeling and foreground detection. These papers investigated particularly the use of fuzzy concepts, discriminative subspace learning models and robust PCA. They also develop surveys on mathematical tools used in the field and particularly on decomposition in low-rank plus additive matrices. He has supervised 5 Ph.D. students in the background/foreground separation. He is the creator and the administrator of the Background Subtraction Web Site. He has served as a reviewer for numerous international conferences and journals.
- Necdet Serhat Aybat (http://www.personal.psu.edu/nsa10/) received his Ph.D. degree in Operations Research from Columbia University, Industrial Engineering & Operations Research Department. Currently, he is an assistant professor in Industrial and Manufacturing Engineering Department at Pennsylvania State University, USA. His research, supported by NSF, focuses on developing fast first-order algorithms for large-scale convex optimization problems coming from diverse application areas such as compressed sensing, matrix completion, convex regression and distributed optimization. In particular, he has devised algorithms, with provable computational complexity, for robust and stable principal component pursuit problems. He is supervising PhD students in this field; and actively serving as a reviewer for numerous academic journals and a session organizer for international conferences.
- El Hadi Zahzah ( http://sites.google.com/site/ezahzah/ ) is an Associate Professor at the University of La Rochelle, France. He obtained his Ph. D thesis at IRIT Lab. Since 1993, his research interests consist mainly in the spatio-temporal relations and detection of moving objects in challenging environments. He has authored more than 60 papers in the field of fuzzy logic, expert systems, image analysis, spatio-temporal modelisation, and background modeling and foreground detection. His recent papers investigated particularly the use of fuzzy concepts, discriminative subspace learning models and robust PCA. He also develops surveys on mathematical tools and supervised 7 Ph.D. students.