Rajita Ramesh ChandakExpertise
L'estimations non parametrique, théorie de l'apprentissage automatique, l'inférence statistique.
Enseignement et PhD Cours Nonparametric estimation and inference MATH-524 Les modèles non paramétriques sont utilisés pour identifier les relations non linéaires au sein des données. Ce cours donne un aperçu de l'estimation statistique et de la théorie de l'inférence non paramétrique. Statistical inference MATH-562 L'inférence du particulier au général basée sur des modè
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Emmanuel AbbéMission
Chair of Mathematical Data Science (SB/IC)The research in the chair of Mathematical Data Science (MDS) focuses on the mathematical principles that underpin the analysis and design of information and data science technologies. As branches of mathematics, this involves probability, statistics, and discrete mathematics, and as specific fields, machine learning and information theory. Please consult http://deepfoundations.ai/ for postdoc applications.
Emmanuel Abbe received his Ph.D. degree from the EEC Kamiar AminianExpertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engineering Fall Prevention in Elderly Motor function in Parkinson disease Physical behavior in chronic pain
Expertise
Biomechanics of human movement Wearable Technology / Inertial sensors Gait Analysis / Physical Activity Monitoring Physical activity Patterns Sport Performance Orthopedics / Rehabilitation engin
Samy BengioExpertise
Algorithmes d'apprentissageTraitement de la parole automatiqueAuthentification de personnesTraitement multimodalTraitement de sequencesReseaux de neurones, support vector machinesModeles de markov caches, mixtures de gaussiennesetc
Expertise
Algorithmes d'apprentissageTraitement de la parole automatiqueAuthentification de personnesTraitement multimodalTraitement de sequencesReseaux de neurones, support vector machinesModeles de markov caches, mixtures de gaussiennesetc
Mission
Samy Bengio est cher
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.
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Michaël UnserExpertise
Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution
Enseignement et PhD Doctorant·es actuel·les Youssef Haouchat, Vincent Patrick Lawrence Guillemet, Bassam El Rawas, Stanislas Ducotterd, Mehrsa Pourya, Zhiyuan Hu A dirigé les thèses EPFL de Stefan Horbelt, Jan Kybic, Maria Arrate Munoz Barrutia, Manuela Feilner, Slavica Jonic, Mathews Jacob, Michael Liebling, Michael Sühling, Muthuvel Arigovindan, François Aguet, Cédric Vonesch, Ildar Khalidov, Sathish Ramani, F
Jan Sickmann HesthavenProf. Hesthaven received an M.Sc. in computational physics from the Technical University of Denmark (DTU) in August 1991. During the studies, the last 6 months of 1989 was spend at JET, the european fusion laboratory in Culham, UK. Following graduation, he was awarded a 3 year fellowship to begin work towards a Ph.D. at Riso National Laboratory in the Department of Optics and Fluid Dynamics. During the 3 years of study, the academic year of 1993-1994 was spend in the Division of Applied Mathematics at Brown University and three 3 months during the summer of 1994 in Department of Mathematics and Statistics at University of New Mexico. In August 1995, he recieved a Ph.D. in Numerical Analysis from the Institute of Mathematical Modelling (DTU). Following graduation in August 1995, he was awarded an NSF Postdoctoral Fellowship in Advanced Scientific Computing and was approinted Visiting Assistant Professor in the Division of Applied Mathematics at Brown University. In December of 1996, he was appointed consultant to the Institute of Computer Applications in Science and Engineering(ICASE) at NASA Langley Research Center (NASA LaRC). As of July 1999, he was appointed Assistant Professor of Applied Mathematics, in September 2000 he was awarded an Alfred P. Sloan Fellowship, as of July 2001 he was awarded a Manning Assistant Professorship, and in March 2002, he was awarded an NSF Career Award. In January 2003, he was promoted to Associate Professor of Applied Mathematics with tenure and in May 2004 he was awarded Philip J. Bray Award for Excellence in Teaching in the Sciences (the highest award given for teaching excellence in all sciences at Brown University). He was promoted to Professor of Applied Mathematics as of July 2005. From October 2006 to June 2013, he was the Founding Director of the Center for Computation and Visualization (CCV) at Brown University. As of October 2007, he holds the (honorary) title of Professor (Adjunct) at the Technical University of Denmark. In November 2009, he successfully defended his dr.techn thesis at the Technical University of Denmark and was rewarded the degree of Doctor Technices -- the highest academic distinction awarded based on ... substantial and lasting contributions that has helped to move the research area forward and penetrated into applications. As grant Co-PI he served from Aug 2010 to June 2013 as Deputy Director of the Institute of Computational and Experimental Research in Mathematics (ICERM), the newest NSF Mathematical Sciences Research Institute. After having spend his entire academic career at Brown University, Prof Hesthaven decided to pursue new challenges and joined the Mathematics Institute of Computational Science and Engineering (MATHICSE) at Ecole Polytechnique Fédérale de Lausanne (EPFL) in Switzerland in July 2013. In March 2014 he was elected SIAM Fellow for contributions to high-order methods for partial differential equations.
Farhad Rachidi-HaeriFarhad Rachidi (IEEE Fellow, EMP Fellow, Electromagnetics Academy Fellow) was born in Geneva in 1962. He received the M.S. degree in electrical engineering and the Ph.D. degree from the Swiss Federal Institute of Technology, Lausanne, in 1986 and 1991 respectively.
He worked at the Power Systems Laboratory of the same institute until 1996 and had several short stays at the University of Florida and the NASA Kennedy Space Center. In 1997, he joined the Lightning Research Laboratory of the University of Toronto in Canada and from April 1998 until September 1999, he was with Montena EMC in Switzerland. He is currently a titular professor and the head of the EMC Laboratory at the Swiss Federal Institute of Technology, Lausanne, Switzerland.
His research interests concern electromagnetic compatibility, lightning electromagnetics and electromagnetic field interactions with transmission lines.
Dr. Rachidi is currently a member of the Advisory Board of the IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY and the President of the Swiss National Committee of the International Union of Radio Science.
He has received numerous awards including the 2005 IEEE EMC Technical Achievement Award, the 2005 CIGRE Technical Committee Award, the 2006 Blondel Medal from the French Association of Electrical Engineering, Electronics, Information Technology and Communication (SEE), the 2016 Berger Award from the International Conference on Lightning Protection, the 2016 Best Paper Award of the IEEE Transactions on EMC, and the 2017 Motohisa Kanda Award for the most cited paper of the IEEE Transactions on EMC (2012-2016).
In 2014, he was conferred the title of Honorary Professor of the Xi’an Jiaotong University in China.
He served as the Vice-Chair of the European COST Action on the Physics of Lightning Flash and its Effects from 2005 to 2009, the Chairman of the 2008 European Electromagnetics International Symposium, the President of the International Conference on Lightning Protection from 2008 to 2014, the Editor-in-Chief of the Open Atmospheric Science Journal (2010-2012) and the Editor-in-Chief of the IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY from 2013 to 2015. He is a Fellow of the IEEE and of the SUMMA Foundation, and a member of the Swiss Academy of Sciences.
He is the author or coauthor of over 200 scientific papers published in peer-reviewed journals and over 400 papers presented at international conferences.
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.
Zoë HolmesEnseignement et PhD Doctorant·es actuel·les Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Cours Quantum information theory PHYS-550 Après avoir revu les bases de la théorie quantique du point de vue de la théorie de l'information, nous couvrirons des sujets plus avancés en théorie de l'information quantique tels que les mesures de l'information quantique et la compréhension des états, canaux et mesures quantiqu
Mario PaoloneMario Paolone received the M.Sc. (with honors) and the Ph.D. degree in electrical engineering from the University of Bologna, Italy, in 1998 and 2002, respectively. In 2005, he was appointed assistant professor in power systems at the University of Bologna where he was with the Power Systems laboratory until 2011. In 2010, he received the Associate Professor eligibility from the Politecnico di Milano, Italy. Since 2011 he joined the Swiss Federal Institute of Technology, Lausanne, Switzerland, where he is now Full Professor, Chair of the Distributed Electrical Systems laboratory and Head of the Swiss Competence Center for Energy Research (SCCER) FURIES (Future Swiss Electrical infrastructure). He was co-chairperson of the technical programme committees of the 9th edition of the International Conference of Power Systems Transients (IPST 2009) and of the 2016 Power Systems Computation Conference (PSCC 2016). He was chair of the technical programme committee of the 2018 Power Systems Computation Conference (PSCC 2018). In 2013, he was the recipient of the IEEE EMC Society Technical Achievement Award. He was co-author of several papers that received the following awards: best IEEE Transactions on EMC paper award for the year 2017, in 2014 best paper award at the 13th International Conference on Probabilistic Methods Applied to Power Systems, Durham, UK, in 2013 Basil Papadias best paper award at the 2013 IEEE PowerTech, Grenoble, France, in 2008 best paper award at the International Universities Power Engineering Conference (UPEC). He was the founder Editor-in-Chief of the Elsevier journal Sustainable Energy, Grids and Networks and was Associate Editor of the IEEE Transactions on Industrial Informatics. His research interests are in power systems with particular reference to real-time monitoring and operation, power system protections, power systems dynamics and power system transients. Mario Paolone is author or coauthor of over 300 scientific papers published in reviewed journals and international conferences.
Sébastien MarcelEnseignement et PhD Doctorant·es actuel·les Parsa Rahimi Noshanagh A co-dirigé les thèses EPFL de Fabien Cardinaux, Yann Rodriguez, Agnès Just, Guillaume Heusch, Anindya Roy, Venkatesh Bala Subburaman, Cosmin Atanasoaei, Laurent El Shafey, Ivana Chingovska, Tiago De Freitas Pereira, Amir Mohammadi, Alexander Unnervik, Hatef Otroshi Shahreza
Clément HonglerMission
Quelques projets-clés:--La recherche de connexions entre la mécanique statistique et la théorie quantique des champs--Les réseaux de neurones, leur dynamique et leurs applications.--La vie artificielle, en particulier l'étude des automates cellulaires continus.--Les systèmes décentralisés.
2003-2006: BSc. EPFL, mathématiques2006-2008: MSc. EPFL, mathématiques2008-2010: Doctorat, Unige, mathématiques2010-2014: Ritt Assistant Professor, Columbia2014-2018: Professeur Assistant Tenure-Track, EPFL2019-pr
