Thomas LieblingOriginaire de Greifensee (ZH), Thomas M. Liebling est né à La Paz (Bolivie) en 1942. Il obtient un diplôme d'ingénieur électricien, le titre de docteur et l'habilitation en mathématiques à l'EPFZ. Il est lauréat du Prix et de la Médaille de l'ETH, ainsi que du Prix Biennial de la Science de la GOR.
Après des séjours aux USA comme chercheur et professeur, notamment aux universités de Stanford et au Rensselaer Polytechnic Institute il entre à l'EPFL en 1980, en tant que professeur au Département de mathématiques. Il dirige le ROSO, un groupe formé d'une douzaine de collaborateurs se vouant à la modélisation, simulation et optimisation de systèmes physiques, biologiques, techniques et économiques, en particulier aux applications en logistique et productique.
Membre de 107 jurys de thèse de doctorat et habilitations, il en a été directeur de 39. En outre il a dirigé quelque 150 thèses de master et 350 projets de semestre.
Durant dix ans il est un des responsables du cours postgrade en informatique technique. Il dirige le cours doctoral en optimisation discrete organisé conjointement avec les Universités de Grenoble, Louvain-la-Neuve et Cologne. Il a présidé la Commission informatique de l'EPFL et le Conseil PHP, ainsi que de la Conférence des chefs de département. Chargé de créer le Prix EPFL des doctorats, il en préside le jury. Durant cinq ans il préside la commission de recherche de l'EPFL.
Auteur et coauteur de plusieurs ouvrages et de quelque 200 d'articles scientifiques, il a fonctionné comme Editeur départemental de Management Science, et Editeur associé notamment de Operations Research, Operations Research Letters, Mathematical Programming, Discrete Optimzatio. Il est membre du conseil scientifique du Konrad-Zuse-Zentrum. Il est membre individuel dela SATW, l'académie suisse des sciences techniques. Il a préside le Tucker Prize Committee de la Société Internationale de Programmation Mathématique, ainsi que le Symposium Advisory Committee. De 2003 à 2008 il est membre du Comité du Conseil de Fondation du Fonds National Suisse de la Recherche Scientifique.
Nikolaos GeroliminisProf. 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
Jean-Philippe ThiranJean-Philippe Thiran was born in Namur, Belgium, in August 1970. He received the Electrical Engineering degree and the PhD degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. From 1993 to 1997, he was the co-ordinator of the medical image analysis group of the Communications and Remote Sensing Laboratory at UCL, mainly working on medical image analysis. Dr Jean-Philippe Thiran joined the Signal Processing Institute (ITS) of the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in February 1998 as a senior lecturer. He was promoted to Assistant Professor in 2004, to Associate Professor in 2011 and is now a Full Professor since 2020. He also holds a 20% position at the Department of Radiology of the University of Lausanne (UNIL) and of the Lausanne University Hospital (CHUV) as Associate Professor ad personam. Dr Thiran's current scientific interests include
Computational medical imaging: acquisition, reconstruction and analysis of imaging data, with emphasis on regularized linear inverse problems (compressed sensing, convex optimization). Applications to medical imaging: diffusion MRI, ultrasound imaging, inverse planning in radiotherapy, etc.Computer vision & machine learning: image and video analysis, with application to facial expression recognition, eye tracking, lip reading, industrial inspection, medical image analysis, etc.
Tony Alan WoodTony A. Wood received a B.Sc. degree in Information Technology and Electrical Engineering in 2010 and an M.Sc. degree in Robotics, Systems and Control in 2013, both from ETH Zurich, Switzerland. In 2018 he completed a Ph.D. at the Automatic Control Laboratory of ETH Zurich. From 2018 to 2021, he was a Research Fellow in the Department of Electrical and Electronic Engineering at the University of Melbourne, Australia. He is currently a Scientist in the Systems Control and Multiagent Optimization Research Group (Sycamore) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. His research interests lie in the fields of optimisation and automatic control with a particular focus on multi-agent systems. The specific topics he investigates include system identification, task allocation, path planning, model predictive control, delay compensation, and formal specification satisfaction for uncertain systems encountered in applications such as energy systems, smart buildings, biology, and robotics.
Mohammad Amin ShokrollahiAmin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes, an area in which he holds a number of granted and pending patents. He is the co-inventor of Tornado codes, and the inventor of Raptor codes. His codes have been standardized and successfully deployed in practical areas dealing with data transmission over lossy networks.
Prior to joining EPFL, Amin Shokrollahi has held positions as the chief scientist of Digital Fountain, member of the technical staff at Bell Laboratories, senior researcher at the International Computer Science Insitute in Berkeley, and assistant professor at the department of computer science of the university of Bonn. He is a Fellow of the IEEE, and he was awarded the Best Paper Award of the IEEE IT Society in 2002 for his work on iterative decoding of LDPC code, the IEEE Eric Sumner Award in 2007 for the development of Fountain Codes, and the joint Communication Society/Information Theory Society best paper award of 2007 for his paper on Raptor Codes.
