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 Christophe Grova

Associate Professor, Physics Dpt and PERFORM Centre, Concordia University, Montreal, Canada Adjunct Prof in Biomedical Eng., and Neurology and Neurosurgery Dpt, McGill University Member of the Montreal Neurological Institute - epilepsy group

Keynote Title: Multimodal investigation of connector hubs in brain networks: applications to epilepsy


Professor Grova is an associate Professor with tenure since July 2017, he is also adjunct Professor in both Biomedical Engineering and Neurology and Neurosurgery departments at McGill University, affiliated to the epilepsy group of the Montreal Neurological Institute, and a member of Centre de Recherches Mathématiques (CRM), Physnum team, Université de Montréal. His research involves combining different neuroimaging modalities to characterize brain activity, from a bio-electrical point of view (Electro-and Magneto-Encephalography) as well as from an hemodynamic perspective (functional Magnetic Resonance Imaging, Near Infra-red Spectroscopy), to study neurovascular coupling processes and ongoing resting state activity.

Recruited as assistant Professor in Biomedical Engineering and Neurology and Neurosurgery departments at McGill University in July 2008, he created the Multimodal Functional Imaging Lab, aiming at characterizing normal and pathological brain activity, especially epilepsy, combining bioelectrical neuronal activity using electrophysiology. In July 2014, he joined Concordia University as “tenure track” assistant Professor in the department of Physics of Concordia University, in the context of a strategic recruitment with PERFORM centre, where he chaired the PERFORM Applied Bio-Imaging Committee. PERFORM is new multimodal imaging center developed at Concordia University, dedicated to the promotion of research projects involving prevention in health and lifestyle experiences (sleep, physical exercise, nutrition).

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).

Dr. Benjamin Laugraud

Laboratory for Signal and Image Exploitation

University of Liège, Belgium

Keynote Title: Background initialization: main challenges (Tutorial)


Dr. Benjamin Laugraud is a Teaching Assistant and a PhD Student in the Laboratory for Signal and Image Exploitation (INTELSIG) of the Montefiore Institute of the University of Liège (Belgium). I received a Master Degree in Computer Science in 2012 from the University of Liège and my master thesis, supervised by Pr. Marc Van Droogenbroeck, was focused on performance evaluation of background subtraction techniques. My main reasearch areas are computer vision (with a particular interest in background subtraction and initialization) and machine learning (with a strong interest in performance evaluation).

I am currently doing a research trip at the MIA Laboratory of the University of La Rochelle (France) under the supervision of Pr. Thierry Bouwmans until July 2018. This research trip aims at exploring further new methods for background initialization.