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.
Daniel FavratDaniel Favrat a obtenu à l'EPFL son diplôme d'ingénieur mécanicien en 1972 et le titre de docteur ès sciences techniques en 1976.
Il passe ensuite 12 ans dans des centres de recherche industriels au Canada et en Suisse.Depuis 1988, D. Favrat est professeur et directeur du Laboratoire d'énergétique industrielle à l'EPFL. Il est aussi successivement directeur de l'Institut des Sciences de l'énergie et, dès janvier 2007, de l'Institut de Génie Mécanique. Ses recherches portent sur les analyses systémiques prenant en compte l'énergétique, l'environnement et l'économie (optimisation environomique), et les systèmes avancés pour une utilisation plus rationnelle de l'énergie (pompes à chaleur, moteurs, piles à combustible,turbomachines etc.)
Il est membre de l'Académie Suisse des Sciences Techniques et vice-président du comité énergie de la Fédération Mondiale des Organisations d'Ingénieurs. Il est éditeur associé du journal "Energy" et l'auteur de deux livres sur la thermodynamique et l'énergétique publiés aux Presses Polytechniques Universitaires Romandes.
Ronan BoulicI come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.
Tomas Teijeiro CampoI received my PhD from the Centro Singular de Investigación en Tecnoloxías Intelixentes (CITIUS), University of Santiago de Compostela, Spain, in 2017. During my doctoral studies I developed a novel knowledge-based framework for time series interpretation based on abductive reasoning that has been successfully applied to automatic ECG interpretation and classification. Now I am currently working as a research associate at the Embedded Systems Laboratory (ESL), with Prof. David Atienza. My research interests include knowledge representation, non-monotonic temporal reasoning, event-based sensing, and their application to biosignal abstraction and interpretation in energy-efficient setups.
