Michaël Clément Louis Ghislain ThémansMichaël Thémans holds a M.Sc. in Applied Mathematics (University of Namur, Belgium) and a Ph.D. in Operations Research and Transportation Modeling (EPFL, Switzerland). His Ph.D. thesis, supervised by Prof. Michel Bierlaire, was entitled "Numerical Methods and Models Relevant to Transportation Applications".
Between 2002 and 2007, he was research and teaching assistant in the Transport and Mobility Laboratory at EPFL. He published 5 papers in international journals in the field of Transportation and Operations Research. He was teaching assistant for 15 courses in Operations Research and Behavioral Modeling. He also supervised 20 master theses and research projects in Optimization and Behavioral Modeling. During the same period, he was working on several large-scale transportation-related research projects, in association with MIT and ETH Zurich as well as transportation professionals in Switzerland (Bureau Robert Grandpierre Rapp, Lausanne, Büro Widmer, Frauenfeld), sponsored both by the Swiss Federal Office of Roads and the Swiss National Science Foundation.
Between 2007 and 2009, he was statistician and R&D specialist at the Nestlé Research Center in Lausanne. He provided support in statistics and modeling to R&D centers worldwide and was involved in over 50 R&D projects. In parallel to this, he developed innovative discrete choice models to predict consumer purchasing behavior and disseminated these new methodologies to Nestlé markets worldwide. He also designed and analyzed over 40 market research studies for various Nestlé markets around the world. He also gave training in market research and Design of Experiments to R&D community.
Between 2007 and 2011, he also holded a position as lecturer at EPFL, teaching a master course in Numerical Optimization. Since 2014, he is lecturer at EPFL, co-teaching the "Global Issues" course entitled "Mobility B" which focuses on transportation systems and logistics systems.
Between 2010 and 2014, he was the Deputy Director of EPFL's Transportation Center (TraCE), in charge of the operational management of the EPFL's Transportation Center with the main focus on the business development activities. The main tasks associated with this position were:
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Develop strategic business partnerships and research projects with private companies and industries as well as public institutions and authorities, at the local, national and international levels.
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Percolate and highlight EPFL's ongoing research activities in transportation outside EPFL.
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Obtain external funding to conduct new cutting-edge multi-disciplinary research projects in the field of transportation at EPFL.
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Management of large-scale R&D projects with industry.
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Promotion of technology transfer and innovation in all fields related to transportation and mobility.
Between January 2015 and December 2016, he was Deputy of the Vice-President for Innovation and Technology Transfer at EPFL, in charge of seconding the Vice-President Adrienne Corboud Fumagalli in her various tasks.
Since January 2017, he is the Deputy of the Vice-President for Innovation at EPFL and the Head of the "Large Enterprises" and "Innovation Projects" Units of the Vice-Presidency for Innovation. He is also in charge of the operational management of 5 Interdisciplinary Centers affiliated to the Vice-Presidency for Innovation.
Since May 2017, he also holds the position of Vice-President of the EPFL Innovation Park Foundation.
Since mid-2018, he acts as the EPFL’s representative in the Board of Switzerland Innovation Network West EPFL (an innovation-driven network composed of 6 innovation poles in Western Switzerland).
Some other activities and affiliations of Michaël Thémans include:
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Scientific consulting for various private companies and national agencies in Switzerland and in France.
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Business Development and Fund Raising for various EPFL's startups and spin-offs.
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Strategic Business Development Advisor for BestMile SA.
Since May 2012, in parallel to his main activity at EPFL, he is partner and Chief Business Development Officer at "6T - Bureau de Recherche", an EPFL's spin-off specialized in mobility analysis.
His main scientific expertise is in the design, development and applications of demand models and optimization algorithms, which he successfully used during ten years in transportation, food and marketing contexts. He also has a significant experience in market research and consumer understanding. He also has a strong experience in the transportation demand analysis and in the modeling/optimization/simulation of complex transportation systems.
During the years 2010-2014, he has acquired a global knowledge and expertise in transportation thanks to the operational and strategic management of EPFL's Transportation Center (TraCE) which gathers all EPFL's laboratories related to transportation and mobility.
He has also developed over the past seven years a strong experience and expertise in large-scale project management, people management, business development and technology transfer from research to business, with a strong focus on partnerships between academia and Large Enterprises in Switzerland and abroad. Martin JaggiMartin 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.
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Frédéric MilaExpertise
Condensed matter theory, strongly correlated systems, frustrated and quantum magnetism, tensor networks
Mission
Perform research in condensed matter theory, whenever possible in collaboration with experimentalists at EPFL and throughout the world
Current Work
- Magnetism on the Shastry-Sutherland lattice- Tensor network approach to 2D strongly correlated systems- Thermal properties of 2D frustrated quantum magnets- Exotic phases of quantum one-dimensional models
Since 2003 Full Professor at EPFL (
Arnaud MagrezEducation
PhD., Materials Science, summa cum laude, Université de Nantes, 2002
M.S., Chemistry, Université des Sciences et Technologies de Lille, 1999
Academic positions
Head of the Crystal Growth Facility, EPFL, 2012-present
Research Associate, Laboratoire de Physique de la Matière Complexe, EPFL, 2003-2012
Research Fellow, Peter Grunberg Institute, FZ-Juelich, 2002-2003
Administrative positions at EPFL
Scientific staff member, EPFL Assembly, 2015-present
Scientific staff member, School Council SB, 2014-present
Member of the IPHYS office 2016-present
Member of the ICMP office 2012-2015
Member of the safety committee of ICMP 2010-2015
Dominique BonvinDominique Bonvin is Professor and Director of the Automatic Control Laboratory of EPFL. He received his Diploma in Chemical Engineering from ETH Zürich, and his Ph.D. degree from the University of California, Santa Barbara. He worked in the field of process control for the Sandoz Corporation in Basel and with the Systems Engineering Group of ETH Zürich. He joined the EPFL in 1989, where his current research interests include modeling, control and optimization of dynamic systems. He served as Director of the Automatic Control Laboratory for the periods 1993-97, 2003-2007 and again since 2012, Head of the Mechanical Engineering Department in 1995-97 and Dean of Bachelor and Master Studies at EPFL for the period 2004-2011.
Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
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.
Ronan BoulicI come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.
Francesco StellacciFrancesco Stellacci graduated in Materials Engineering at the Politecnico di Milano in 1998 with a thesis on photochromic polymers with Prof. Giuseppe Zerbi and Mariacarla Gallazzi. In 1999 he moved to the Chemistry Department of the University of Arizona for as a post-doc in the group of Joe Perry in close collaboration with the group of Seth Marder. In 2002 he moved to the Department of Materials Science and Engineering at the Massachusetts Institute of Technology as an assistant professor. He was then promoted to associate without (2006) and with tenure (2009). In 2010 he moved to the Institute of Materials at EPFL as a full Professor. He holds the Alcan EP Chair. Francesco was one of the recipients of the Technology Review TR35 "35 Innovator under 35" award in 2005, and the Popular Science Magazine "Brilliant 10" award in 2007. He has been a Packard Fellow starting 2005.
Romain GuietExpertise
Development of BioImage Analysis workflows and algorithms to extract quantitative data from microscopy images.BioSample Preparation : in vitro cell, organoid, time-lapse, fixation, staining strategies, actin, mitochondria, fluorescent protein expressionBioImage Acquisition : Widefield, Confocal, Whole Slide Imaging, Super-resolution (SIM, STORM, STED), FRET, FRAP, FLIMBioImage Analysis: Colocalisation analysis, Deconvolution, Time-lapse , Whole Slide ImagingTools & Software: ImageJ/Fiji, QuPath, i
