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.
Laura GrigoriExpertise
Numerical linear algebra, deterministic and randomized algorithmsHigh performance computing for scientific applicationsHigh dimensional problems and tensor computationsCombinatorial scientific computingMathematical Software
Enseignement et PhD Doctorant·es actuel·les Israa Fakih, Zhipeng Xue, Andrea Di Antonio, Mariana Graciela Martinez Aguilar, Guifré Sánchez i Serra Cours Numerical analysis and computational mathematics MATH-456 Ce cours offre une introduction au calcul scienti
Paolo De Los RiosEnseignement et PhD Doctorant·es actuel·les María Li López Bautista, Subhasis Dehury, Lisa Gennai A dirigé les thèses EPFL de Giovanni Salvi, Thomas Petermann, David Gfeller, Cécile Caretta Cartozo, David Morton de Lachapelle, Carlo Maffi, Lucio Floretta, Salvatore Assenza, Duccio Malinverni, Alberto Stefano Sassi, Andrea Martini, Solange Flatt, Adélaïde Alice Mohr, Shiling Liang, Alexandra Shelest, Davide Cois A co-dirigé les thèses EPFL de Lorenzo Talamanca Cours EDCB seminar series BIOENG-606
Henry MarkramEnseignement et PhD Doctorant·es actuel·les Davide Bella A dirigé les thèses EPFL de Tania Rinaldi, Jean-Vincent Le Bé, Michele Pignatelli, Thomas Berger, Luca Gambazzi, Rodrigo de Campos Perin, Imad Riachi, Muhammad Asif Jan, Rajnish Ranjan, Srikanth Ramaswamy, Georges Khazen, Vincent Delattre, Mônica Favre, Shruti Muralidhar, Michael Reimann, Jean Pierre Ghobril, Renaud Luc Richardet, Marwan Abdellah, Willem Wybo, Csaba Erö, Lida Kanari, Giuseppe Chindemi, Berat Denizdurduran, Max Nolte, Taylor Howard N
Martin Alois RohrmeierEnseignement et PhD Doctorant·es actuel·les Joris Monnet, Marina Borsodi-Benson, Xinyi Guan, Xiaoxuan Wang, Zeng Ren A dirigé les thèses EPFL de Fabian Claude Moss, Daniel Harasim, Christoph Finkensiep, Johannes Hentschel, Gabriele Cecchetti, Shuxin Meng Cours Digital musicology DH-401 Ce cours a pour but de familiariser les étudiants avec les thèmes principaux en musicologie digitale, ainsi que les approches et méthodes théoriques essentielles. Dans la partie pratique, les étudiants feron
Oliver JanzerEnseignement et PhD Doctorant·es actuel·les Rik Sarkar Cours Algebraic methods in combinatorics MATH-526 Dans ce cours, nous étudions comment les méthodes algébriques peuvent être utilisées pour résoudre des problèmes de combinatoire. Les principaux outils utilisés proviennent de l'algèbre linéaire et de la théorie des polynômes. Graph theory MATH-360 Le cours introduit les concepts de base et certains résultats de la théorie moderne des graphes.
