Concept
Problème à N corps
Personnes associées (25)
Pierre Vandergheynst
Pierre 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.
Alfredo Pasquarello
Alfredo Pasquarello effectue ses études en physique à l'Ecole normale supérieure de Pise et à l'Université de Pise et obtient leurs diplômes respectifs en 1986. Il obtient le titre de Docteur ès sciences à l'EPFL en 1991 avec une thèse portant sur les transitions à plusieurs photons dans les solides. Ensuite, il effectue des recherches post-doctorales aux Laboratoires Bell (Murray Hill, New Jersey) sur les propriétés magnétiques des fullerènes de carbone. En 1993, il rejoint l'Institut romand de recherche numérique en physique des matériaux (IRRMA), où sa recherche porte sur des méthodes de simulation ab initio. En 1998, le Prix Latsis de l'EPFL lui est decerné pour son travail de recherche portant sur les matériaux à base de silice désordonnée. Bénéficiant de plusieurs subsides du Fonds National, il constitue ensuite sa propre équipe de recherche à l'IRRMA. En juillet 2003, il est nommé Professeur en Physique théorique de la matière condensée à l'EPFL. Actuellement, il dirige la Chaire de simulation à l'échelle atomique.
Michele Ceriotti
Michele Ceriotti received his Ph.D. in Physics from ETH Zürich in 2010. He spent three years in Oxford as a Junior Research Fellow at Merton College. Since 2013 he leads the laboratory for Computational Science and Modeling in the Institute of Materials at EPFL. His research revolves around the atomic-scale modelling of materials, based on the sampling of quantum and thermal fluctuations and on the use of machine learning to predict and rationalize structure-property relations. He has been awarded the IBM Research Forschungspreis in 2010, the Volker Heine Young Investigator Award in 2013, an ERC Starting Grant in 2016, and the IUPAP C10 Young Scientist Prize in 2018.