Darine Ameyed
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Her research interests include: ubiquitous computing, context-aware systems, predictive modelling, user behavior, activity recognition, smart space, machine learning, ambient intelligence, and human centred computing.

Formal approach for context prediction based on PCTL and Model checking // Modélisation et spécification formelle de contexte et sa prédiction dans les systèmes diffus : Une approche basée sur la logique temporelle et le modèle stochastique

She obtained her Ph.D in software engineering in the École de Téchnologie Supérieure (E.T.S.) University of Quebec (Montreal, Canada) in 2016.
She received her M.Sc. in Digital Art and Technology from the university Rennes 2 (U.R.2) (University of Upper Brittany, France) in 2010.
She obtained her M.Sc. Multimedia Engineering from the university Paris Est Marne la Vallée (U.P.E.M) (University of Paris 11, France) in 2008.
She received the B.Sc. in Software and Management from the Institut Supérieur de Gestion (I.S.G) (University of Tunis, Tunisia) in 2005.
She had also several years of industry experience in Canada and Africa in the areas of software engineering, IOT, Mobile Computing, ERP system and Management.

Yaser Esmaeili Salehani
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Signal/image processing, data analysis, machine learning and remote sensing

Yaser Esmaeili Salehani received the B.Sc. degree in communications engineering with Summa Cum Laude from Electrical Engineering Department, Khaje-Nasir Toosi University of Technology, Tehran, Iran, in 2002, the M.Sc. degree in communications engineering from Electrical Engineering Department, Sharif University of Technology, Tehran, in 2004, the master of applied science (M.A.Sc.) in Electrical and Computer Engineering, Concordia University, Montreal, Canada, with the early graduate award, in 2011, and the Ph.D. degree in Communications and Signal Processing from Electrical and Computer Engineering Department, Queen’s University, Kingston, Canada, with the IEEE Research Excellence Award in 2016. He is currently a PDF with Synchromedia Laboratory at École de Technologie Supérieure, Montreal, Canada. His current research interests include signal and image processing in general, machine learning techniques and sparse problems, big data analysis such as hyperspectral images and medical imaging, manuscript dating/ageing and document analysis.

Chuan Pham
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Network Function Virtualization, Demand Response of Buildings and Datacenters, Cloud and Mobile-Edge Computing

Approximation and Matching Game Approaches for Network Service Chain Placement on Cloud Datacenters

Chuan Pham received the MS degree from Hochiminh City University of Science, Vietnam and Ph.D. degree from Kyung Hee University, Korea, in computer engineering, in 2008 and 2017, respectively. Since August, 2017, he has been a postdoc in the networking lab, Department of Computer Science and Engineering, Kyung Hee University. He is currently working as a postdoctoral fellow with Synchromedia Lab since Dec, 2017.

Athmane Bakhta
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Numerical methods for signal/image processing, Ink seepage modeling, Machine learning.

Received his Ph.D in applied mathematics from Ecole Nationale des Ponts et Chaussees (Paris, France) in 2017. His PhD work aimed to develop mathematical models and numerical methods for photovoltaic devices. He received his M.Sc. in applied mathematics and theoretical computer science from Paris-Est University (Paris, France) in 2014 with the Bezout excellence grant (international selection). His B.Sc. in computer science was done at Paris-Est University (Paris, France) in 2012 where he also received (simultaneously) a B.Sc. in mathematics in 2012. He is currently working as a Postdoctoral fellow with Synchromedia Laboratory at École de Technologie Supérieure, Montreal, Canada since April,2018.

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