Thomas LieblingThomas M. Liebling (http://roso.epfl.ch) is Mathematics Professor Emeritus at EPFL (Lausanne), where he taught from 1980 to 2008 and directed the OR group ROSO.
He served on the jury of 112 PhD and habilitation theses, 39 as director. He further supervised 150 MS theses and 350 term projects, many of which in collaboration with industry and private and public services. He published over 200 refereed papers, books, and book chapters.
Previous appointments were with ETHZ, and RPI; as visiting professor with Cornell, ELTE-Budapest, MIT, PUC-Rio, and Stanford.
He received his education from ETH Zurich:
MS in EE (1966, automatic control),
PhD in operations research (1969; awarded the ETH prize and medal).
Mathematics habilitation (1973) with a pioneering probabilistic study on the number of iterations of the simplex method.
Postdoctoral fellowship (1970/71) Stanford University with G.B. Dantzig
He holds the Science Prize of the German OR Society, is a member of the Swiss Academy of Engineering Sciences and the Scientific Council of ZIB, Berlin.
He received a honorary degree from the Universidad Nacional Mayor de San Marcos, Lima and the Medal of Merit from EPN Escuela Politécnica Nacional, Quito.
Editorial activities: DE (Optimization and Networks) of Management Science, AE of Operations Research, OR-letters, OR-Spectrum, EJOR, Discrete Applied Optimization, and Math. Programming, recurring guest-editor of MPB and DAM.
He is Editor in Chief of the MOS-SIAM book series on optimization.
He is a founding organizer of the Aussois Workshops in Combinatorial Optimization, and member of the steering committee of LAGOS (Latin American Graphs, Optimizstion Symposium) chaired the MPS Publications Committee, Tucker Prize Committee, and presently chairs its Symposium Advisory Committee. He organized ISMP 1997 at EPFL, with nearly 1500 participants from 63 countries, the largest to date. He has chaired the Conference of Department Chairmen (a position comparable to a provost), the Computer Commission (responsible for the introduction at EPFL of the first Swiss supercomputer), and further chaired the Research Commission over 6 years, he created the Doctoral Award and was its first Jury chair. He belonged to the Board of Trustees of the Swiss National Science Foundation .
Much of his research lies at the interface with other disciplines (physics, life sciences, materials science, management, engineering, logistics), focusing on complex systems modeling, simulation, and optimization.
His present research interests are in algorithmic game theory and complex particle system modeling and simulation using paradigms from mathematical programming, discrete geometry and probability. 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.
