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
Murat KuntNé le 16 janvier 1945 à Ankara, a fait sa scolarité au lycée de Galatasaray, l'une des plus vieilles institutions créée en 1481 suivant un accord entre la France et l'Empire Ottomane. Il a reçu son diplôme d'ingénieur-physicien de l'Ecole Polytechnique Fédérale de Lausanne (EPFL) en 1969 et son diplôme de docteur ès sciences en 1974 de la même institution avec une thèse sur la compression de facsimilé.
De 1974 à 1977 il a travaillé au Massachusetts Institute of Technology à Boston comme Research Fellow au Research Laboratory of Electronics.
De retour en Suisse en 1977, il a repris un poste d'Adjoint scientifique au Laboratoire de traitement des signaux à l'Ecole Polytechnique Fédérale de Lausanne (EPFL). Il a travaillé sur la compression des images et de la vidéo, les signaux biomédicaux et la vision par ordinateur.
En 1978 il a créé la revue scientifique Signal Processing dont il est le rédacteur en chef et l'Association européenne de traitement des signaux (EURASIP).
Il a été nommé professeur en 1980
Dès 1986, il reçoit des mandats importants (8 Mio Fr.suisses chacun) de groupes industriels comme Thomson CSF et Hewlett-Packard.
En 1987 il a été nommé rapporteur à l'Assemblée National française (MM. Raymod Forni et Michel Pelcha, députés) pour la télévion à haute définition.
En 1989 il a été nommé directeur du Laboratoire de traitement des signaux.
Jusqu'à maintenant, il a :
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dirigé plus 60 thèses de doctorats à l'EPFL
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participé au jury de plus de 100 thèses dans les universités européennes
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été invité à donner de plus 250 conférences à travers le monde
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publié de plus 250 articles et 14 livres
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présidé 5 conférences internationales
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participé à plus de 30 projets européens comme partenaire
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reçu le médaille de services méritoires de l'EURASIP en 1983.
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reçu la distinction de Fellow IEEE en 1986
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reçu le prix de « Technical Achievement » de IEEE - The Institute of Electrical and Electronics Engineers - en 1997
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reçu le médaille du 3ème millénaire de IEEE - The Institute of Electrical and Electronics Engineers - en 2000
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reçu le doctorat honoris causa de l'Université Catholique de Louvain en 2001
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reçu le prix de « Technical Achievement » d'EURASIP en 2003
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reçu le prix « scientifique en imagerie de l'année » de IS&T et SPIE en 2003.
En 2007 il a crée une nouvelle revue scientifique Signal, Image and Video Processing dont il assume la direction, chez Springer. Il a pris sa retraite en juin 2008 et a été nommé Professeur honoraire.
Voir le site http://lts5www.epfl.ch/kunt.html pour plus de détail. Alexandre SchmidEnseignement et PhD A dirigé les thèses EPFL de Mahsa Shoaran, Wen-Yang Hsu, Reza Ranjandish, Keyvan Farhang Razi, Mohammad Javad Karimi A co-dirigé les thèses EPFL de Milos Stanisavljevic, Neil Joye, Vahid Majidzadeh Bafar, Hossein Afshari, Nikola Katic, Abdulkadir Akin Cours Analog circuits for biochip EE-518 Introduction à la conception analogique CMOS pour des biocapteurs à distance sur puce. Compréhension et la conception de systèmes de biocapteurs actifs et alimentés à distance. Compré
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.
Pierre-André FarinePierre-André Farine received the Doctoral and Engineering Degrees in Microtechnology from University of Neuchâtel, Switzerland, respectively in 1984 and 1978, and the Engineering in Microtechnology from ETS Le Locle in 1974.
He was working 17 years for the Swiss watch industries (Swatch Group), including developments for high-tech products, such as pager watches, watches including integrated sensors such as pressure, compass, altimeter and temperature sensors for Tissot. He was also involved in prototypes developments for watches including GPS and cellular GSM phones.
Since 8 years, he is Professor in Electronics and Signal Processing at the Institute of Microtechnology IMT, University of Neuchâtel, Switzerland. Full professor at EPFL since January 1st, 2009, he works in the field of low-power integrated products for portable devices, including microelectronics for wireless telecommunications, UWB and GNSS systems. He is Head of the Electronics and Signal Processing Laboratory ESPLAB of the EPFL IMT-NE. His laboratory works also for video and audio compression algorithms and their implementation in low power integrated circuits.
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.
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.
Jürgen BruggerI am a Professor of Microengineering and co-affiliated to Materials Science. Before joining EPFL I was at the MESA Research Institute of Nanotechnology at the University of Twente in the Netherlands, at the IBM Zurich Research Laboratory, and at the Hitachi Central Research Laboratory, in Tokyo, Japan. I received a Master in Physical-Electronics and a PhD degree from Neuchâtel University, Switzerland. Research in my laboratory focuses on various aspects of MEMS and Nanotechnology. My group contributes to the field at the fundamental level as well as in technological development, as demonstrated by the start-ups that spun off from the lab. In our research, key competences are in micro/nanofabrication, additive micro-manufacturing, new materials for MEMS, increasingly for wearable and biomedical applications. Together with my students and colleagues we published over 200 peer-refereed papers and I had the pleasure to supervise over 25 PhD students. Former students and postdocs have been successful in receiving awards and starting their own scientific careers. I am honoured for the appointment in 2016 as Fellow of the IEEE “For contributions to micro and nano manufacturing technology”. In 2017 my lab was awarded an ERC AdvG in the field of advanced micro-manufacturing.
Anuj Kumar YadavResearchCurrent Research Fields Information TheoryApplied ProbabilityPrivacy & CryptographyStatistics
Mohamad Baker DiaI am currently a data scientist and machine learning course developer at the EPFL Extension School, where I am involved in the production of online learning materials, designing and leading workshops and hackathons, and promoting the EPFL Extension School data science and digital skills to a wide audience.My interests include different aspects of machine learning, coding and information theory, signal processing, and inference on graphical models. I received the B.E. degree in Electrical and Computer Engineering and the B.A. degree in Economics with distinctions concurrently in 2012 from the American University of Beirut (AUB), Lebanon. I received the M.Sc. degree in Communication Systems in 2014 and the Ph.D. degree in Computer and Communication Sciences in 2018 both from the Swiss Federal Institute of Technology (EPFL), Switzerland.Between 2018 and 2020, I was a research scientist at the Institute for Data Science (i4DS) in the University of Applied Sciences Northwestern Switzerland (FHNW), where I worked in collaboration with the European Space Agency (ESA) on the Euclid space mission. I was a visiting researcher at Nokia Bell Labs, Germany in 2017 where I worked on the design of a novel coding scheme for the high-speed fiber optical communication systems. I was also a R&D engineer at the European Technology Center of SONY, Germany in 2014 working on the standardization of digital terrestrial TV broadcasting receivers. In 2011, I did my undergraduate internship at the University of California, Berkeley U.S.A. where I contributed to the “Mobile Millennium” traffic-monitoring project.
Francisco Pereira Correia PintoFrancisco holds a degree in Computer Science from the University of Porto, and a Ph.D. in Signal Processing from the École polytechnique fédérale de Lausanne (EPFL). He is currently leading the development of EPFL's data intelligence infrastructure for institutional data, as well as its new ML/Graph-powered search engine (graphsearch.epfl.ch). His interests lie in the intersection between educational sciences and artificial intelligence.
