Martin VetterliMartin Vetterli a été nommé Président de l'École polytechnique fédérale de Lausanne (EPFL) par le Conseil fédéral à l’issue d’un processus de sélection mené par le Conseil des EPF - qui l'a désigné à l'unanimité.
Né à Soleure le 4 octobre 1957, Martin Vetterli a suivi sa scolarité et effectué sa maturité dans le canton de Neuchâtel. Ingénieur en génie électrique de l’ETHZ (1981), diplômé de l’Université de Stanford (1982) et docteur en sciences de l’EPFL (1986), Martin Vetterli a enseigné à Columbia University comme professeur assistant puis associé. Il a ensuite été nommé professeur ordinaire au département du génie électrique et des sciences de l’informatique de l’Université de Berkeley, avant de revenir à l’EPFL en tant que professeur ordinaire à l’âge de 38 ans. Il a également enseigné à l’ETHZ et à l’Université de Stanford.
Ses activités de recherche centrées sur le génie électrique, les sciences de l’informatique et les mathématiques appliquées lui ont valu de nombreuses récompenses nationales et internationales, parmi lesquelles le Prix Latsis National, en 1996. Il est Fellow de l’Association for Computing Machinery et de l'Institute of Electrical and Electronics Engineers et membre de la National Academy of Engineering (NAE) notamment. Martin Vetterli a publié plus de 170 articles et trois ouvrages de référence.
Ses travaux sur la théorie des ondelettes, utilisées dans le traitement du signal, sont reconnus par ses pairs comme étant d’une portée majeure, et ses domaines de prédilection, comme la compression des images et vidéos ou les systèmes de communication auto-organisés, sont au cœur du développement des nouvelles technologies de l’information. En tant que directeur fondateur du Pôle de Recherche National Systèmes mobiles d’information et de communication, le professeur Vetterli est un fervent défenseur de la recherche transdisciplinaire.
Martin Vetterli connaît l’EPFL de l’intérieur. Alumnus de l’Ecole, il y enseigne depuis 1995, a été le vice-président chargé des relations internationales puis des affaires institutionnelles de l’Ecole entre 2004 à 2011, et doyen de la Faculté Informatique et Communication en 2011 et 2012. En parallèle à sa fonction de président du Conseil national de la recherche du Fonds national suisse qu’il a occupé de 2013 à 2016, il dirige le Laboratoire de Communications Audiovisuelles (LCAV) de l’EPFL depuis 1995.
Martin Vetterli a accompagné plus de 60 doctorants en Suisse et aux Etats-Unis pendant leur thèse et se fait un point d’honneur de suivre l’évolution de leur parcours au plus haut niveau, académique ou dans le monde entrepreneurial.
L’ingénieur est l’auteur d’une cinquantaine de brevets qui ont conduit à la création de plusieurs startups issues de son laboratoire, comme Dartfish ou Illusonic, ainsi qu’à des transferts de technologie par le biais de vente de brevets (Qualcomm). Il encourage activement les jeunes chercheurs à poursuivre ces efforts et commercialiser les résultats de leurs travaux.
Vassily HatzimanikatisDr. Vassily Hatzimanikatis is currently Associate Professor of Chemical Engineering and Bioengineering at Ecole Polytechnique Federale de Lausanne (EPFL), in Lausanne, Switzerland. Vassily received a PhD and an MS in Chemical Engineering from the California Institute of Technology, and his Diploma in Chemical Engineering from the University of Patras, in Greece. After the completion of his doctoral studies, he held a research group leader position at the Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland. Prior to joining EPFL, Vassily worked for three years in DuPont, Cargill, and Cargill Dow, and he has been assistant professor at Northwestern University, at Illinois, USA.
Vassilys research interests are in the areas of computational systems biology, biotechnology, and complexity. He is associate editor of the journals Biotechnology & Bioengineering, Metabolic Engineering and Integrative Biology, and he serves on the editorial advisory board of the journals Bioprocess and Biosystems Engineering, Journal of Chemical Technology and Biotechnology, and Industrial Biotechnology. He has written over 70 technical publications and he is co-inventor in three patents and patent applications.
Vassily is a fellow of the American Institute for Medical and Biological Engineering (2010), he was a DuPont Young Professor (2001-2004), and he has also received the Jay Bailey Young Investigator Award in Metabolic Engineering (2000), and the ACS Elmar Gaden Award (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.
Ljubisa MiskovicLjubisa Miskovic earned his Ph.D. degree in Automatic Control from the Swiss Federal Institute of Technology (EPFL) under the co-supervision of Dominique Bonvin and Alireza Karimi, in 2006. He pursued his postdoctoral studies at the Centre for Systems Engineering and Applied Mechanics, Universite Catholique de Louvain with Michel Gevers before moving to the laboratory of Vassily Hatzimanikatis at the EPFL. In 2010, he became a research scientist. His research interests include systems biology, metabolic engineering, synthetic biology, data-driven control design, system identification, stochastic processes and estimation theory.
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.
Pina MarzilianoPina Marziliano obtained her Bachelors of Science degree in Applied Mathematics and Masters of Science degree in Computer Science in 1994 and 1996, respectively, from the Universite de Montreal. She completed the pioneering Doctoral School program in the Communications Systems Department at the EPFL in 1997 and obtained her PhD degree in 2001. Her professional career began as a Senior Research Engineer in a start-up company called Genimedia SA in Lausanne, Switzerland where she developed perceptual quality metrics for multimedia applications which led her to two highly cited (>100) journal and conference papers, as well as, the filing of a patent. In 2003, she became an Assistant Professor for the Division of Information Engineering in the School of Electrical and Electronic Engineering at the Nanyang Technological University in Singapore focusing her research in biomedical signal and image processing. In 2006, she was seconded to NTU’s International Relations Office for one year where she co-strategized the university international partnerships and conceptualised the Global Partnership Management and Analysis Tool. She received the IEEE Signal Processing Society 2006 Best Paper Award for the article entitled "Sampling Signals with Finite Rate of Innovation" co-authored with Martin Vetterli and Thierry Blu. Later that year patents on the same topic were acquired by Qualcomm Inc., USA, followed by consultancy work which led to obtaining US200KindustryresearchgrantfromQualcomm. In2009,aworkshopco−organisedbyNTU’sCollegeofEngineeringandTanTockSengHospitalandpartneroftheNTU−ImperialCollegeMedicalSchoolsparkedseveralresearchcollaborationswithdoctorsfromtheOphthalmologyDepartmentandDiagnosticRadiologyDepartmentwhichhaveledtojointinternationalconferenceandjournalpublications,significant(>SGD3M) joint research funding and a granted US patent. Apart from her research achievements, she has served as an Associate Editor for IEEE Signal Processing Letters, IEEE Transactions on Signal Processing, a technical reviewer for more than a dozen international conference and Tier-1 journal publications, as well as, a Technical Program Committee member of international conferences and voted in as member of the highly selective Signal Processing Theory and Methods Technical Committee in the IEEE Signal Processing Society. She has served as the Chair of the IEEE Singapore Section Women In Engineering (WIE) Affinity Group where she spearheaded and co-organized monthly technical and social activities, thus increasing the group’s visibility in the IEEE Singapore Section. With her leadership and initiatives, the group received the 2009 Honourable Mention Women in Engineering Affinity Group of the Year Award from the IEEE WIE Committee in the USA. In 2011, she was the General Chair of the 9th International Conference on Sampling Theory and Applications, co-organised by the School of EEE and School of Physical and Mathematical Sciences, NTU. This interdisciplinary conference and flagship event of her research community was held for the first time in Asia on the NTU campus. It gathered 132 participants comprising of mathematicians, engineers and applied scientists from 26 countries around the globe. In 2012, she was tenured and promoted to Associate Professor at the Nanyang Technological University in Singapore. Besides pursuing her academic career, she has been actively involved in technology transfer and entrepreneurship co-founding a design company (PABensen) and a biotechnology spin-off BIORITHM. In 2019, Pina Marziliano was appointed Executive Director of the Centre for Biomedical Imaging (CIBM), a centre composed of five partner institutions HUG, UNIGE, EPFL, UNIL and CHUV located in a 50km radius of the Lemans region in Switzerland. The unique union of reputable clinicians, academics and researchers combined with the capabilities of developing cutting edge technology and housing the latest state-of-the art equipment, is her source of inspiration and drive in leading CIBM, a world reknowned Centre of Excellence in Biomedical Imaging. 