Catégorie

Optimisation combinatoire

Personnes associées (1 767)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Fabrizio Sossan

David Atienza Alonso

David Atienza Alonso is an associate professor of EE and director of the Embedded Systems Laboratory (ESL) at EPFL, Switzerland. He received his MSc and PhD degrees in computer science and engineering from UCM, Spain, and IMEC, Belgium, in 2001 and 2005, respectively. His research interests include system-level design methodologies for multi-processor system-on-chip (MPSoC) servers and edge AI architectures. Dr. Atienza has co-authored more than 350 papers, one book, and 12 patents in these previous areas. He has also received several recognitions and award, among them, the ICCAD 10-Year Retrospective Most Influential Paper Award in 2020, Design Automation Conference (DAC) Under-40 Innovators Award in 2018, the IEEE TCCPS Mid-Career Award in 2018, an ERC Consolidator Grant in 2016, the IEEE CEDA Early Career Award in 2013, the ACM SIGDA Outstanding New Faculty Award in 2012, and a Faculty Award from Sun Labs at Oracle in 2011. He has also earned two best paper awards at the VLSI-SoC 2009 and CST-HPCS 2012 conference, and five best paper award nominations at the DAC 2013, DATE 2013, WEHA-HPCS 2010, ICCAD 2006, and DAC 2004 conferences. He serves or has served as associate editor of IEEE Trans. on Computers (TC), IEEE Design & Test of Computers (D&T), IEEE Trans. on CAD (T-CAD), IEEE Transactions on Sustainable Computing (T-SUSC), and Elsevier Integration. He was the Technical Program Chair of DATE 2015 and General Chair of DATE 2017. He served as President of IEEE CEDA in the period 2018-2019 and was GOLD member of the Board of Governors of IEEE CASS from 2010 to 2012. He is a Distinguished Member of ACM and an IEEE Fellow.

Né 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.

Martin Jaggi

Martin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.

Sabine Süsstrunk

Prof. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.

Baiwei Guo