Martin VetterliMartin Vetterli was appointed president of EPFL by the Federal Council following a selection process conducted by the ETH Board, which unanimously nominated him.
Professor Vetterli was born on 4 October 1957 in Solothurn and received his elementary and secondary education in Neuchâtel Canton. He earned a Bachelor’s degree in electrical engineering from ETH Zurich (ETHZ) in 1981, a Master’s of Science degree from Stanford University in 1982, and a PhD from EPFL in 1986. Professor Vetterli taught at Columbia University as an assistant and then associate professor. He was subsequently named full professor in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley before returning to EPFL as a full professor at the age of 38. He has also taught at ETHZ and Stanford University.
Professor Vetterli has earned numerous national and international awards for his research in electrical engineering, computer science and applied mathematics, including the National Latsis Prize in 1996. He is a fellow of both the Association for Computing Machinery and the Institute of Electrical and Electronics Engineers and a member the US National Academy of Engineering. He has published over 170 articles and three reference works.
Professor Vetterli’s work on the theory of wavelets, which are used in signal processing, is considered to be of major importance by his peers, and his areas of expertise, including image and video compression and self-organized communication systems, are central to the development of new information technologies. As the founding director of the National Centre of Competence in Research on Mobile Information and Communication Systems, Professor Vetterli is a staunch advocate of transdisciplinary research.
Professor Vetterli knows EPFL inside and out. An EPFL graduate himself, he began been teaching at the school in 1995, was vice president for International Affairs and then Institutional Affairs from 2004 to 2011, and served as dean of the School of Computer and Communication Sciences in 2011 and 2012. In addition to his role as president of the National Research Council of the Swiss National Science Foundation, a position he held from 2013 to 2016, he heads the EPFL’s Audiovisual Communications Laboratory (LCAV) since 1995.
Professor Vetterli has supported more than 60 students in Switzerland and the United States in their doctoral work and makes a point of following their highly successful careers, whether it is in the academic or business world.
He is the author of some 50 patents, some of which were the basis for start-ups coming out of his lab, such as Dartfish and Illusonic, while others were sold (e.g. Qualcomm) as successful examples of technology transfer. He actively encourages young researchers to market the results of their work.
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.
Christian DepeursingeChristian Depeursinge is the leader of the Microvision and Micro-Diagnostics (MVD) group at the Advanced Photonics Laboratory of the Institute of Microengineering at EPFL (Ecole Polytechnique Fédérale de Lausanne), Switzerland (http://apl.epfl.ch/muvision). His research and expertise in biomedical engineering and optics is internationally acknowledged. His current research topics include coherent and incoherent Imaging applied to diagnostics in biology, His research group pioneered in the development of DHM technology. He worked on several projects developed in cooperation with European and international partners. He is author and co-author of over 100 papers published in peer reviewed journals, several book chapters and more than 30 patents. He has given more than 20 invited lectures and plenaries in the last five years. He developed many projects in cooperation with national and international industries. He is co-founder of a start-up company (Lyncée Tec SA: www.Lynceetec.com). He is currently teaching at EPFL and occasionally in foreign universities and institutes. Giorgio MargaritondoCitizen of the USA and Switzerland, Giorgio Margaritondo was born in Rome, Italy, in 1946. He received the Laurea summa cum laude from the University of Rome in 1969. From 1969 he was an employee of the Italian National Research Council in Rome and Frascati and, in 1975-77, he was at Bell Laboratories in the USA. From 1978 to 1990, he was professor of physics at the University of Wisconsin-Madison in the USA; in 1984 he was nominated associate director for research of the Synchrotron Radiation Center of the same university. In 1990 he was nominated "professeur ordinaire" (full professor) at the EPFL; he directed the Institute of Applied Physics and the Physics Department. He was also a honorary faculty member at Vanderbilt University in Nashville. In 2001 he became Dean of the EPFL Faculty of Basic Sciences. In 2004 he was nominated Provost and he served until 2010, when he became Dean of Continuing Education, until his retirement from the EPFL in 2016 In addition to teaching general physics, his activity concerns the physics of semiconductors and superconductors (electronic states, surfaces and interfaces) and of biological systems; his main experimental techniques are electron spectroscopy and spectromicroscopy, x-ray imaging and scanning near-field microscopy, including experiments with synchrotron light and with free electron lasers. Author of more than 700 scientific publications and 9 books, he was also coordinator in 1995-98 of the scientific division of the Elettra synchrotron in Trieste. In 1997-2003 he was coordinator of the European Commission Round Table on synchrotron radiation, and then became president of the Council of the European Commission Integrated Initiative on Synchrotron and Free Electron Laser Science (IA-SFS and then ELISA), the largest network in the world in this domain. In 2011-15, he was Editor-in-Chief of Journal of Physics D (Applied Physics). He is currently vice-president of the council of the Università della Svizzera Italiana (USI), and president of the Scientific and Technological Committee of the Italian Institute of Technology (IIT). He is Fellow of the American Physical Society and of the American Vacuum Society and Fellow and Chartered Physicist of the Institute of Physics.
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).
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.
