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.
Florence Graezer BideauMaître d’enseignement et de recherche au Collège des Humanités et à la Section d'Architecture, EPFLProfesseure invitée au Département d’Architecture et de Design, Politecnico di Torino Docteure en histoire et civilisation (EHESS, Paris)Directrice du Minor in Area and Cultural Studies (MACS) entre 2012 et 2016Membre du Groupe de recherche Patrimoine, culture et villeChercheuse associée au China Room Research Group et South China-Torino Collaboration Lab, Politecnico di Torino Membre associée au Laboratoire d’anthropologie culturelle et sociale (LACS) de l’Université de LausanneMembre de la Commission de l’Ecole doctorale d’architecture et science de la ville (EDAR) de l’EPFL Florence Graezer Bideau est anthropologue, sinologue et docteur en histoire et civilisation depuis 2005. Avant de rejoindre le Centre for Area and Cultural Studies (CACS) de l’EPFL en 2010, elle a été maître assistante en anthropologie à l’Université de Lausanne où elle a enseigné dans les domaines de la théorie culturelle et de la méthodologie d’enquête de terrain. Directrice adjointe, puis Directrice du CACS entre 2012 et 2014, elle est maître d’enseignement et de recherche au sein du Collège des Humanités de l’EPFL et enseigne dans le domaine des area studies, de l’anthropologie de la Chine, des critical heritage studies et des études urbaines. Entre 2012 et 2016, elle a été directrice du Minor in Area and Cultural Studies. Depuis 2015, elle est membre de la commission de Ecole doctorale d’architecture et science de la ville (EDAR) de la Faculté de l’environnement naturel, architectural et construit (ENAC) de l’EPFL. Professeure invitée au Département d’architecture et de Design, Politecnico di Torino, Italie, depuis 2015, ses domaines d’expertise comprennent l’anthropologie de la Chine, la sociologie urbaine, les modes de sociabilité et la gouvernementalité Ses intérêts de recherche portent sur les liens entre la culture et le pouvoir (construction de la politique culturelle en Chine ; émergence des communautés de makers (makerspaces) et politique d’innovation en Chine), sur les questions patrimoniales (processus de patrimonialisation et du multiculturalisme en Malaisie et à Singapour ; mise en œuvre de la Convention de l’UNESCO pour la sauvegarde du patrimoine culturel immatériel en Suisse), ainsi que sur la fabrication de la ville (notion de paysage historique urbain dans les politiques patrimoniales à Pékin, Rome et Mexico City ; résistances informelles face à la violence de l’urbanisme à Caracas, Chennai et Guangzhou ; construction d’habitats autonomes à la suite de situations catastrophiques en Inde, au Liban et en Malaisie ; usages des espaces publics dans les nouvelles villes chinoises).
Emmanuel AbbéMission
Chair of Mathematical Data Science (SB/IC)The research in the chair of Mathematical Data Science (MDS) focuses on the mathematical principles that underpin the analysis and design of information and data science technologies. As branches of mathematics, this involves probability, statistics, and discrete mathematics, and as specific fields, machine learning and information theory. Please consult http://deepfoundations.ai/ for postdoc applications.
Emmanuel Abbe received his Ph.D. degree from the EEC 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.
Pascal FrossardTeaching & PhD PhD Students Yiming Qin, Alba Carballo Castro, Elisa Messori, Ke Wang, Sevda Ögüt, Tuna Alikasifoglu, William Cappelletti, Manuel Madeira, Mahdi Amiri, Ortal Yona Senouf, Vasiliki Rizou, Cem Bilaloglu, Abdellah Rahmani, Amel Abdelraheem, Jérémy Jean Philippe Baffou, Adam Hazimeh, Vincent Jung, Yike Zhao Past EPFL PhD Students Dan Jurca, Jean-Paul Wagner, Ivana Radulovic, Ivana Tosic, Effrosyni Kokiopoulou, Zafer Arican, Vijayaraghavan Thirumalai, Tamara Tosic, Eirina Bourtsoulatze, Elif Vur