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.
Dominique de WerraNé en1942, Dominique de Werra est ingénieur-physicien et docteur ès sciences techniques de l'EPFL. De 1969 à 1971, il a été professeur au département de sciences du management à l'Université de Waterloo (Canada); il a été professeur invité dans diverses Hautes Ecoles européennes (dont le CNAM et lENSTA) et américaines. Entre 1971 et 2007, il a été professeur de recherche opérationnelle à l'EPFL. Il a été vice-président de cette institution et directeur de la formation de 1990 à 2000. Il a ensuite été doyen des relations internationales.
Ses recherches portent sur les mathématiques discrètes (optimisation combinatoire, théorie des graphes, algorithmique, etc.) et leurs applications aux systèmes industriels et informatiques en particulier en productique, distributique, énergétique et ordonnancement.
Il a été membre du Conseil dOrientation Stratégique des Ecoles des Mines entre 2001 et 2007.Il a dautre part fait partie de divers comités dévaluation et daccréditation des universités en Europe et en Amérique.
En 1987-1988, il a présidé l'association EURO qui regroupe les sociétés nationales de recherche opérationnelle en Europe et de 2010 à 2012 la Fédération IFORS qui est lorganisme faîtier au niveau mondial. Il est docteur h.c. de l'Université de Paris, de l'Ecole polytechnique de Poznan (Pologne), de lUniversité de Fribourg et lauréat de la médaille d'or européenne (EURO) de recherche opérationnelle en 1995 ainsi que de la EURO Distinguished Service Medal en 2012.
Il est éditeur associé de divers journaux dont en particulier Discrete Applied Mathematics, Discrete Optimization.
Ali H. SayedAli H. Sayed est doyen de la Faculté des sciences et techniques de l’ingénieur (STI) de l'EPFL, en Suisse, où il dirige également le laboratoire de systèmes adaptatifs. Il a également été professeur émérite et président du département d'ingénierie électrique de l'UCLA. Il est reconnu comme un chercheur hautement cité et est membre de la US National Academy of Engineering. Il est également membre de l'Académie mondiale des sciences et a été président de l'IEEE Signal Processing Society en 2018 et 2019.
Le professeur Sayed est auteur et co-auteur de plus de 570 publications et de six monographies. Ses recherches portent sur plusieurs domaines, dont les théories d'adaptation et d'apprentissage, les sciences des données et des réseaux, l'inférence statistique et les systèmes multi-agents, entre autres.
Ses travaux ont été récompensés par plusieurs prix importants, notamment le prix Fourier de l'IEEE (2022), le prix de la société Norbert Wiener (2020) et le prix de l'éducation (2015) de la société de traitement des signaux de l'IEEE, le prix Papoulis (2014) de l'Association européenne de traitement des signaux, le Meritorious Service Award (2013) et le prix de la réalisation technique (2012) de la société de traitement des signaux de l'IEEE, le prix Terman (2005) de la société américaine de formation des ingénieurs, le prix de conférencier émérite (2005) de la société de traitement des signaux de l'IEEE, le prix Koweït (2003) et le prix Donald G. Fink (1996) de l'IEEE. Ses publications ont été récompensées par plusieurs prix du meilleur article de l'IEEE (2002, 2005, 2012, 2014) et de l'EURASIP (2015). Pour finir, Ali H. Sayed est aussi membre de l'IEEE, d'EURASIP et de l'American Association for the Advancement of Science (AAAS), l'éditeur de la revue Science.
Martin HaslerAfter a PhD and a postdoc in theoretical physics, Martin Hasler has pursued reasearch in electrical circuit and filter theory. His current interests are the applications of nonlinear dynamics in engineering and biology. In particular, he is interested in information processing in biological and technological networks. He is most well-known for his work in communications using chaos and in synchronization of networks of dynamical systems.
He joined EPFL in 1974, became a titular professor in 1984 and a full professor in 1998. In 2002, he was acting Dean of the School of Computer and Communication Sciences. He was elected Fellow of the IEEE in 1993. He was the general chair of ISCAS 2000 in Geneva. He was Associate Editor of the IEEE Transactions in Circuits and Systems from 1991 to 1993 and Editor-in-Chief from 1993 to 1995. He was elected vice-president for Technical Activities of the IEEE Circuits and Systems Society from 2002 to 2005. He is a member of the Research Council of the Swiss National Science Foundation.
Karl AbererCo-Founder of LinkAlong Sarl, 2017.Vice-president EPFL for Information Systems, 2012 –2016.Director of the Swiss National Centre for Mobile Information and Communication Systems NCCR MICS (mics.ch), 2005 -2012.Member of the Swiss Research and Technology Council SWTR, consulting the Swiss Federal government, 2004 - 2011.
Alcherio MartinoliI received my Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Zurich (ETHZ), and a Ph.D. in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL). I am currently an Associate Professor at the School of Architecture, Civil, and Environmental Engineering and the head of the Distributed Intelligent Systems and Algorithms Laboratory. Before joining EPFL I carried out research activities at the Institute of Biomedical Engineering of the ETHZ, at the Institute of Industrial Automation of the Spanish Research Council in Madrid, Spain, and at the California Institute of Technology, Pasadena, U.S.A. Additional information can be found on my full CV.
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.