Personnes associées (28)
Michel Bierlaire
Born in 1967, Michel Bierlaire holds a PhD in Mathematical Sciences from the Facultés Universitaires Notre-Dame de la Paix, Namur, Belgium (University of Namur). Between 1995 and 1998, he was research associate and project manager at the Intelligent Transportation Systems Program of the Massachusetts Institute of Technology (Cambridge, Ma, USA). Between 1998 and 2006, he was a junior faculty in the Operations Research group ROSO within the Institute of Mathematics at EPFL. In 2006, he was appointed associate professor in the School of Architecture, Civil and Environmental Engineering at EPFL, where he became the director of the Transport and Mobility laboratory. Since 2009, he is the director of TraCE, the Transportation Center. From 2009 to 2017, he was the director of Doctoral Program in Civil and Environmental Engineering at EPFL. In 2012, he was appointed full professor at EPFL. Since September 2017, he is the head of the Civil Engineering Institute at EPFL.   His main expertise is in the design, development and applications of models and algorithms for the design, analysis and management of transportation systems. Namely, he has been active in demand modeling (discrete choice models, estimation of origin-destination matrices), operations research (scheduling, assignment, etc.) and Dynamic Traffic Management Systems.  As of August 2021, he has published 136 papers in international journals, 4 books, 41 book chapters, 193 articles in conference proceedings, 182 technical reports, and has given 195 scientific seminars. His Google Scholar h-index is 68.  He is the founder, organizer and lecturer of the EPFL Advanced Continuing Education Course "Discrete Choice Analysis: Predicting Demand and Market Shares".   He is the founder of hEART: the European Association for Research in Transportation.   He was the founding Editor-in-Chief of the EURO Journal on Transportation and Logistics, from 2011 to 2019. He is an Associate Editor of Operations Research. He is the editor of two special issues for the journal Transportation Research Part C. He has been member of the Editorial Advisory Board (EAB) of Transportation Research Part B since 1995, of Transportation Research Part C since January 1, 2006.
Boi Faltings
Professor Faltings joined EPFL in 1987 as professor of Artificial Intelligence. He holds a PhD degree from the University of Illinois at Urbana-Champaign, and a diploma from the ETHZ. His research has spanned different areas of intelligent systems linked to model-based reasoning. In particular, he has contributed to qualitative spatial reasoning, case-based reasoning (especially for design problems), constraint satisfaction for design and logistics problems, multi-agent systems, and intelligent user interfaces. His current work is oriented towards multi-agent systems and social computing, using concepts of game theory, constraint optimization and machine learning. In 1999, Professor Faltings co-founded Iconomic Systems, a company that developed a new agent-based paradigm for travel e-commerce. He has since co-founded 5 other startup companies and advised several others. Prof. Faltings has published more than 150 refereed papers on his work, and participates regularly in program committees of all major conferences in the field. He has served as associate editor of of the major journals, including the Journal of Artificial Intelligence Research (JAIR) and the Artificial Intelligence Journal. From 1996 to 1998, he served as head of the computer science department.
Nikolaos Geroliminis
Prof. Nikolas Geroliminis is an Associate Professor at EPFL and the head of the Urban Transport Systems Laboratory (LUTS). Before joining EPFL he was an Assistant Professor on the faculty of the Department of Civil Engineering at the University of Minnesota. He has a diploma in Civil Engineering from the National Technical University of Athens (NTUA) and a MSc and Ph.D. in civil engineering from University of California, Berkeley. He is an Associate Editor for Transportation Research part C and he also serves in the editorial board of TR, part B, Transportation Letters, Journal of ITS and of many international conferences. He is a member of the Transportation Research Board's Traffic Flow Theory Committee. His research interests focus primarily on urban transportation systems, traffic flow theory and control, public transportation and logistics, Optimization and Large Scale Networks. He is a recent recipient of the ERC Starting Grant “METAFERW: Modeling and controlling traffic congestion and propagation in large-scale urban multimodal networks” Education Diploma, 2003, Civil Engineering, National Technical University of Athens, Greece M.S., 2004, Civil and Environmental Engineering, University of California at Berkeley Ph.D., 2007, Civil and Environmental Engineering, University of California at Berkeley
Rémy Glardon
Né en 1950, originaire de Vallorbe (VD). Il étudie à l'EPFL où il obtient un diplôme d'ingénieur en 1973 et le titre de docteur es sciences techniques en 1977. Il rejoint en janvier 1979 l'University of California à Berkeley où il entreprend des travaux dans le domaine de l'usure et de la mécanique de rupture. A partir de 1982 il occupe différents postes dans le management, d'abord dans l'assurance de qualité, puis dans la production et la logistique au sein de la société Mettler-Toledo à Greifensee, ZH. Il rejoint, en 1990, l'entreprise Amysa à Yverdon où il occupe le poste de directeur technique. En 1993, il est nommé directeur des opérations et membre du comité de direction du groupe Portescap à La Chaux-de-Fonds. Il y dirige toutes les unités opérationnelles de l'entreprise et, en tant que tel, entreprend une réorganisation visant à améliorer les performances de la logistique et de l'outil de production de manière à mieux répondre aux besoins du marché. Depuis 1995 il est professeur extraordinaire de gestion et processus de production au Département de génie mécanique. Ses travaux de recherche portent en particulier sur la modélisation et la simulation de la production et de la logistique interne, sur le développement des techniques de Rapid Manufacturing et Rapid Tooling, ainsi que sur l'intégration de procédés d'usinage non-traditionnels (EDM, ECM).

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.