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.
Aurelio BayAurelio Bay graduated in physics at the University of Lausanne (UNIL) in 1980 and got his PhD degree from the same institution in 1986 for a work on the determination of the axial form factor of the ? meson.
He then went to Lawrence Berkeley Laboratories (LBL), USA as a post doc for two years, where he worked on the TPC/2? Electromagnetic Calorimeter and the SSC/LHC detector. He then came back to Europe and was named Maître Assistant at University of Geneva till 1994, where he started working at the L3 experiment of LEP at CERN.
He was appointed Assistant Professor at the University of Lausanne in 1994 and Full Professor in 1998, continuing working at LEP, LEP2 and LHCb at CERN , and starting a collaboration at BELLE experiment at KEK, Tsukuba (Japan).
At the University of Lausanne he was Director of the Institute of High Energy Physics, Deputy Director of the Physics Department and Deputy of the Dean of the Faculty of Sciences.
In 2003, following the merge of UNIL physics department into the EPFL School of Basic Sciences, he was appointed Full Professor at Ecole Polytechnique Fédérale de Lausanne (EPFL), and Director of the EPFL Laboratory of High Energy Physics.
Alain WegmannAlain Wegmann joined EPFL in 1996. His interests are in techniques to better align business and IT. He developed, with his group and partners, the SEAM methods: SEAM for business (strategic thinking), SEAM for enterprise architecture (business/IT alignment) and SEAM for software (IT). The originality of SEAM is in the integration of generic systems thinking principles into discipline-specific methods. This integration has three benefits: (1) the possibility to relate the different disciplines (by having common systemic principles); (2) the capability to leverage on discipline-specific knowledge (by using the vocabulary and the heuristics of each discipline) and (3) to be more efficient in solving problems (by benefiting from the problem solving techniques developed in systems thinking). SEAM is currently applied in master courses and consulting. Consulting is done for start-ups developing their business and technology strategies and for large companies having service-oriented architecture projects.
Prior to joining EPFL, Alain Wegmann worked for 14 years with Logitech in software development/engineering management (Switzerland, Taiwan, US), manufacturing (Taiwan) and marketing (US). When he left Logitech, Alain Wegmann was engineering vice-president and marketing director for large accounts.
Matthias GrossglauserMatthias Grossglauser is a Professor of Computer and Communication Sciences at EPFL in Lausanne, Switzerland, where he co-directs the Information and Network Dynamics lab. His current research interests center on machine learning, stochastic networks, and discrete choice models, and on their applications in artificial intelligence, reinforcement learning, network science, computational social sciences, and recommender systems. He is also a member of the Federal Communications Commission (ComCom), the indepe
Michael HerzogTeaching & PhD PhD Students Sandrine Brikh, Melissa Mohamad Allouche, Ece Yatikçi, Melissa Faggella, Elsa Scialom, Marie Isabelle Holdsworth, Martina Morea, Pierre Merret, Sandali Nisansa Liyanagoonawardena Past EPFL PhD Students Frank Scharnowski, Thomas Otto, Toni Saarela, Elisa Tartaglia, Bilge Sayim, Johannes Rüter, Marco Boi, Kristoffer Aberg, Yvonne Evelina Thunell, Mauro Manassi, Vitaly Chicherov, Lukasz Grzeczkowski, Marc Michael Lauffs, Ophélie Favrod, Janir Nuno Ramos da Cruz, Adrien Doerig, Lei
Frédéric BlancExpertise
High Energy Physics
Teaching & PhD PhD Students Rita De Sousa Ataíde Da Silva, Dimitrios Kaminaris, Maria Carolina Feliciano Faria Past EPFL PhD Students Lino Ferreira Lopes, Vladimir Macko, Guillaume Max Pietrzyk Past EPFL PhD Students as codirector Jessica Prisciandaro, Giovanni Veneziano, Sebastiana Gianì, Lino Ferreira Lopes, Guillaume Max Pietrzyk Courses Selected topics in nuclear and particle physics PHYS-400 This course presents the physical principles and the recent rese
