Professor Habib Benali

Scientific Director, PERFORM Centre and Professor, Department of Electrical and Computer Engineering Faculty of Engineering and Computer Science Concordia University
Montreal, QC, Canada

Keynote Title: Combining neuroimaging and mathematical modeling of the kinetics and spreading of Tau aggregates in the humain brain


Professor Benali He is currently Scientific Director, PERFORM Centre and Professor, Department of Electrical and Computer Engineering Faculty of Engineering and Computer Science Concordia University Montreal, QC, Canada. His current research group interests are in human brain computational modelling and functional connectivity analysis using multimodal analysis of electromagnetic and hemodynamic processes in the brain and spinal cord. He developped mathematical models to better understand the mechanisms of brain activity and neurovascular coupling using (BOLD fMRI, MRS, EEG, optical imaging) signals.

Professor Benali was the director of the unit INSERM 678, Laboratory of Functional Imaging of the French National of Health and Medical Research (INSERM) until 2013, and deputy director of Biomedical Imaging Laboratory, INSERM - The National Center for Scientific Research (CNRS) and Paris 6 University (UPMC), France, until January 2016. He was the co-director of the International Laboratory of Neuroimaging and Modelisation of the INSERM-UPMC and Montreal University until 2015. He proposed macroscopic models of the spatial extent of the anatomical networks and their functional dynamics. The overarching goals of his research program is to address the problem of developing models for the numerical simulation of the humain brain activity and physiopathological neurodegenerative disease through an integrated biomedical approach. .

Professor Thierry Bouwmans.

Laboratory MIA

Professor of Computer Science

La Rochelle University. France

Keynote Title: Recent advances on background modeling and foreground detection for video-surveillance (Tutorial)


Professor Thierry Bouwmans 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 as it is a pre-step for behaviour detection in video surveillance. He has recently authored more than 35 papers in refereed international journals and conferences in the field of background modeling and foreground detection, and has co-edited two books in CRC Press (background/foreground separation for video surveillance, robust PCA via decomposition in low rank and sparse matrices). His research investigated particularly the use of fuzzy concepts, discriminative subspace learning models and robust PCA in video surveillance. It also concern full exhaustive surveys on mathematical tools used in foreground/background separation. He has been the lead guest editor of the special issue on “Background Modeling for Foreground Detection in Real-World Dynamic Scenes” in the journal Machine Vision and Applications.

Professor Thierry Bouwmans is the coordinator of the BGSlibrary and LRS library. He is the creator and the administrator of the Background Subtraction Web Site (33 115 visits and 17 636 visitors).

Professor Jamal Atif.

Professor of Computer Science

Paris-Dauphine University. France

Researcher at LAMSADE (CNRS mixed unit)

Keynote Title: (To be updated)


Jamal Atif is a Professor of Computer Sciences at Université Paris-Dauphine realizing his research at LAMSADE (CNRS mixed unit). From 2010 to 2014, he was an associate professor at Université Paris- Sud 11, member of the Machine Learning and Optimization Team (INRIA/CNRS/Paris-Sud) and served as its co-head from 2013 to 2014. From 2006 to 2010, he was a research scientist at IRD (Institut de Recherche pour le Développement), Unité ESPACE S140 and associate professor of computer sciences at the University of French West Indies. He received a master degree and a PhD in computer sciences and medical imaging from Université Paris-Sud in 2000 and 2004. His research interests focus on AI-based methods for image understanding, knowledge representation and reasoning, machine learning and brain imaging. He works on fields arising from mathematical morphology, graph theory, uncertainty management, logics and information theory.

Since September 2014 Jamal Atif is serving as a director of the Business Intelligence program of Paris- Dauphine University.