Maryam KamgarpourMaryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant.
Dominique de WerraNé en1942, Dominique de Werra est ingénieur-physicien et docteur ès sciences techniques de l'EPFL. De 1969 à 1971, il a été professeur au département de sciences du management à l'Université de Waterloo (Canada); il a été professeur invité dans diverses Hautes Ecoles européennes (dont le CNAM et lENSTA) et américaines. Entre 1971 et 2007, il a été professeur de recherche opérationnelle à l'EPFL. Il a été vice-président de cette institution et directeur de la formation de 1990 à 2000. Il a ensuite été doyen des relations internationales.
Ses recherches portent sur les mathématiques discrètes (optimisation combinatoire, théorie des graphes, algorithmique, etc.) et leurs applications aux systèmes industriels et informatiques en particulier en productique, distributique, énergétique et ordonnancement.
Il a été membre du Conseil dOrientation Stratégique des Ecoles des Mines entre 2001 et 2007.Il a dautre part fait partie de divers comités dévaluation et daccréditation des universités en Europe et en Amérique.
En 1987-1988, il a présidé l'association EURO qui regroupe les sociétés nationales de recherche opérationnelle en Europe et de 2010 à 2012 la Fédération IFORS qui est lorganisme faîtier au niveau mondial. Il est docteur h.c. de l'Université de Paris, de l'Ecole polytechnique de Poznan (Pologne), de lUniversité de Fribourg et lauréat de la médaille d'or européenne (EURO) de recherche opérationnelle en 1995 ainsi que de la EURO Distinguished Service Medal en 2012.
Il est éditeur associé de divers journaux dont en particulier Discrete Applied Mathematics, Discrete Optimization.
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Pierre VandergheynstPierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education. His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing. He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference. Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.