Mohammad Amin ShokrollahiAmin Shokrollahi has worked on a variety of topics, including coding theory, computational number theory and algebra, and computational/algebraic complexity theory. He is best known for his work on iterative decoding algorithms of graph based codes, an area in which he holds a number of granted and pending patents. He is the co-inventor of Tornado codes, and the inventor of Raptor codes. His codes have been standardized and successfully deployed in practical areas dealing with data transmission over lossy networks.
Prior to joining EPFL, Amin Shokrollahi has held positions as the chief scientist of Digital Fountain, member of the technical staff at Bell Laboratories, senior researcher at the International Computer Science Insitute in Berkeley, and assistant professor at the department of computer science of the university of Bonn. He is a Fellow of the IEEE, and he was awarded the Best Paper Award of the IEEE IT Society in 2002 for his work on iterative decoding of LDPC code, the IEEE Eric Sumner Award in 2007 for the development of Fountain Codes, and the joint Communication Society/Information Theory Society best paper award of 2007 for his paper on Raptor Codes.
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.
Florian Karl RichterCurriculum vitae You can download my CV here
ResearchResearch Fields Ergodic Theory, Combinatorics, Number TheoryList of Publications Open-access preprints and e-prints of all my publications are freely available on arXiv ↗ .An inverse theorem for sumsets of sets of positive density in the integersEthan Ackelsberg, Florian K. Richter submitted, 117 pageslink ↗Weighted averages of arithmetic functions and applications to equidistributionVitaly Bergelson, Michael Reilly, Florian K. Richter submitted, 29 page
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 Leonid MoninEnseignement et PhD Cours Algebra III - rings and fields MATH-215 C'est un cours introductoire dans la théorie d'anneau et de corps. Analyse I (anglais) MATH-101(en) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. Topology III - Homology MATH-323 L'homologie est l'un des outils les plus importants pour étudier les espaces topologiques et elle joue un rôle important dans de nombreux domaine
Dominique BonvinDominique Bonvin is Professor and Director of the Automatic Control Laboratory of EPFL. He received his Diploma in Chemical Engineering from ETH Zürich, and his Ph.D. degree from the University of California, Santa Barbara. He worked in the field of process control for the Sandoz Corporation in Basel and with the Systems Engineering Group of ETH Zürich. He joined the EPFL in 1989, where his current research interests include modeling, control and optimization of dynamic systems. He served as Director of the Automatic Control Laboratory for the periods 1993-97, 2003-2007 and again since 2012, Head of the Mechanical Engineering Department in 1995-97 and Dean of Bachelor and Master Studies at EPFL for the period 2004-2011.
Maryna ViazovskaEnseignement et PhD Doctorant·es actuel·les Amal Seddas, Matthias Gröbner A dirigé les thèses EPFL de Martin Peter Stoller, Gauthier Leterrier, Nihar Prakash Gargava Cours Discrete mathematics MATH-260(a) Etude des structures et des concepts qui n'utilisent pas la notion de continuité. Théorie des graphes ou étude des ensembles dénombrables sont des exemples de domaines couverts par les mathématiques discrètes. L'accent sera mis sur les structures que les étudiants reverront au cours de le
Philippe MüllhauptExpertise
Commande non linéaireThéorie de la commandeMécanique généraleSystèmes dynamiquesStatistique
Mission
Offrir une formation technique et scientifique rigoureuse en commande non linéaire, en mécanique classique et en théorie statistique
Travail en cours
Chercheur et enseignant dans les domaines de l'automatique, la statistique, les systèmes dyanmiques et la mécanique classique.
E MSc. et BSc. en génie électrique (EPFL, 1993) DEA en Automatique et Traitement du Signal (Paris VI, 1994) PhD en Automa
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.
Anna LachowskaEnseignement et PhD Cours Algebra MATH-310 Le cours introduit les concepts de base de l'algèbre, notamment les groupes, les anneaux et les corps. Analyse I MATH-101(e) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles d'une variable. Analyse II MATH-106(e) Étudier les concepts fondamentaux d'analyse et le calcul différentiel et intégral des fonctions réelles de plusieursvariables. Representation theory I
Kathryn Hess BellwaldKathryn Hess Bellwald received her PhD from MIT in 1989 and held positions at the universities of Stockholm, Nice, and Toronto before moving to the EPFL.Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. She has published extensively on topics in pure algebraic topology including homotopy theory, operad theory, and algebraic K-theory. On the applied side, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory, leading to a powerful, parameter-free mathematical framework relating the activity of a neural network to its underlying structure, both locally and globally.In 2016 she was elected to Swiss Academy of Engineering Sciences and was named a fellow of the American Mathematical Society and a distinguished speaker of the European Mathematical Society in 2017. In 2021 she gave an invited Public Lecture at the European Congress of Mathematicians. She has won several teaching prizes at EPFL, including the Crédit Suisse teaching prize and the Polysphère d’Or.
Damir FilipovicDamir Filipovic holds the Swissquote Chair in Quantitative Finance and is Swiss Finance Institute Professor at the Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prior to this, he was head of the Vienna Institute of Finance and professor at the University of Vienna. He previously held the chair of financial and insurance mathematics at the University of Munich, and he was on the faculty of Princeton University. He received his Ph.D. in mathematics from ETH Zurich in 2000. Damir Filipovic worked as a scientific consultant for the Swiss Federal Office of Private Insurance from 2003 to 2004. There he co-developed the Swiss Solvency Test, which defines the regulatory capital requirement for all Swiss based insurance companies and groups. He is on the editorial board of several academic journals. His research interests include the term structure of interest rates, credit and volatility risk, quantitative methods in risk management, and stochastic processes. His papers have been published in a variety of academic journals including the Journal of Financial Economics, Mathematical Finance, Finance and Stochastics, and the Annals of Applied Probability. He is the author of a textbook titled Term-Structure Models.
Jérôme SchererEnseignement et PhD Doctorant·es actuel·les Virgile Simon Constantin A dirigé les thèses EPFL de Samuel Lavenir A co-dirigé les thèses EPFL de Kay Remo Werndli, Lyne Moser Cours Topology IV.a - Cohomology rings MATH-506 La cohomologie singulière vient de la dualisation du complexe des chaines singulières. Nous étudions ses propriétés, voyons comment elle acquiert une structure multiplicative, celle d'une algèbre graduée commutative. Une version algébrique, la cohomologie des groupes, est c
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.
Serge VaudenaySerge Vaudenay entered at the Ecole Normale Supérieure in 1989 with a major in mathematics. He earned his agrégation (secondary teaching degree) in mathematics in 1992, then a PhD in Computer Science at the University of Paris 7 - Denis Diderot in 1995. He subsequently became a senior research fellow at the CNRS, prior to being granted his habilitation à diriger des recherches (a postdoctoral degree authorizing the recipient to supervise doctoral students). In 1999, he was appointed as a Professor at the EPFL, where he created the Security and Cryptography Laboratory.
