Giovanni De MicheliExpertise
Technologies de conception pour les systèmes intégrés, tels que la synthèse, le codesign de HW/SW et la conception de basse puissance. Technologies de conception des systèmes sur les plateformes hétérogènes comprenant les composants électriques, et biologiques.
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Enseignement et PhD A dirigé les thèses EPFL de Abhishek Garg, Mohamed Haykel Ben Jamaa, Francesco Zanini, Ciprian Seiculescu, Cristina Boero, Hu Xu, Andrea Cavallini, Shashi Kanth 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.
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
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Jérôme ChenalExpertise
UrbanismePlanification urbaineGestion urbaineProcessus d
Situation actuelle
Directeur du Centre "Excellence in Africa "Directeur de la CEATProfesseur affilié UM6P
Associations prof. et activités académiques Membre du Conseil d'administration de l'Université Senghor, Alexandrie (2025-2029)Directeur du Board of Directors de l'African Cities LabEditeur de l'African Cites JournalPrésident de la Biennale Africaine d'Architecture et d'urbanisme (BAAU)Médias Jérôme Chenal, la passion des villes et de l'A
Babak FalsafiEnseignement et PhD Doctorant·es actuel·les Yuanlong Li, Simla Burcu Harma, Shashwat Shrivastava, Alexandros Poupakis, Shanqing Lin, Ayan Chakraborty, Pooria Poorsarvi Tehrani, Ali Ansari A dirigé les thèses EPFL de Pejman Lotfi Kamran, Sotiria Fytraki, Dejan Novakovic, Stavros Volos, Djordje Jevdjic, Ilknur Cansu Kaynak, Yusuf Onur Koçberber, Javier Picorel Obando, Alexandros Daglis, Mario Paulo Drumond Lages De Oliveira, Arash Pourhabibi Zarandi, Mark Johnathon Sutherland, Siddharth Gupta, Ognjen Glamoc
Pascal FuaPascal Fua received an engineering degree from Ecole Polytechnique, Paris, in 1984 and the Ph.D. degree in Computer Science from the University of Orsay in 1989. He then worked at SRI International and INRIA Sophia-Antipolis as a Computer Scientist. He joined EPFL in 1996 where he is now a Professor in the School of Computer and Communication Science and heads the Computer Vision Laboratory. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and Augmented Reality. His research interests include shape modeling and motion recovery from images, analysis of microscopy images, and machine learning. He has (co)authored over 300 publications in refereed journals and conferences. He is an IEEE Fellow and has been an Associate Editor of IEEE journal Transactions for Pattern Analysis and Machine Intelligence. He often serves as program committee member, area chair, and program chair of major vision conferences and has cofounded three spinoff companies (Pix4D, PlayfulVision, and NeuralConcept).
Guido HaefeliEnseignement et PhD Doctorant·es actuel·les Federico Ronchetti, Gauri Napoletano A co-dirigé les thèses EPFL de Axel Kuonen, Olivier Göran Girard, Carina Trippl Cours Particle detection PHYS-440 Introduction des différentes interactions des particules dans la matière. Différentes techniques de détection comme scintillateurs, détecteurs à gas, silicium, et détecteurs pour identification de particules.
Olivier SchneiderAprès une thèse en physique des particules à l'Université de Lausanne, soutenue en 1989, Olivier Schneider rejoint le LBL, Lawrence Berkeley Laboratory (Californie), pour travailler sur l'expérience CDF au Tevatron de Fermilab (Illinois), d'abord au bénéfice d'une bourse de chercher débutant du Fonds National Suisse pour la Recherche Scientifique, puis comme post-doc au LBL. Il participe à la construction et à la mise en service du premier détecteur de vertex au silicium fontionnant avec succès auprès d'un collisionneur hadronique, détecteur qui a permis la découverte du sixième quark, appelé "top". Dès 1994, il revient en Europe et participe à l'expérience ALEPH au grand collisionneur électron-positon du CERN (Genève), comme boursier puis comme titulaire d'un poste de chercheur au CERN. Il se spécialise en physique des saveurs lourdes. En 1998, il est nommé professeur associé à l'Université de Lausanne, puis professeur extraordinaire à l'EPFL en 2003, et enfin professeur ordinaire à l'EPFL en 2010. Ayant participé depuis 1997 à la préparation de l'expérience LHCb au collisionneur LHC du CERN, entrée en fonction à fin 2009, il en analyse maintenant les données. Il contribue aussi depuis 2001 à l'exploitation des données enregistrées par l'expérience Belle au laboratoire KEK (Tsukuba, Japon). Ces deux expériences étudient principalement les désintégrations de hadrons contenant un quark b, ainsi que la violation de CP, c'est-à-dire le non-respect de la symétrie entre matière et antimatière.
Jean-Michel SalleseEnseignement et PhD Doctorant·es actuel·les Marta Macaluso A dirigé les thèses EPFL de Luca Gautero, Fengda Sun, Frédéric Zanella, Lucian Barbut, Farzan Jazaeri, Camillo Stefanucci, Jacopo Bronuzzi, Georgi Gorine, Chiara Rossi, Viros Sriskaran, Arnout Devos, Gennaro Termo A co-dirigé les thèses EPFL de Louis Harik, Fabrizio Lo Conte, Maria-Alexandra Paun, Anurag Mangla, Pranav Vivek Kulkarni Cours Electronique EE-280 Présentation des principaux composants de base de l'électronique.Analyse
Touradj EbrahimiTouradj EBRAHIMI received his M.Sc. and Ph.D., both in Electrical Engineering, from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1989 and 1992 respectively. In 1993, he was a research engineer at the Corporate Research Laboratories of Sony Corporation in Tokyo, where he conducted research on advanced video compression techniques for storage applications. In 1994, he served as a research consultant at AT&T Bell Laboratories working on very low bitrate video coding. He is currently Professor at EPFL heading its Multimedia Signal Processing Group. He is also the Convenor of JPEG standardization Committee. He was also adjunct Professor with the Center of Quantifiable Quality of Service at Norwegian University of Science and Technology (NTNU)between 2008 and 2012.
Prof. Ebrahimi has been the recipient of various distinctions and awards, such as the IEEE and Swiss national ASE award, the SNF-PROFILE grant for advanced researchers, Four ISO-Certificates for key contributions to MPEG-4 and JPEG 2000, and the best paper award of IEEE Trans. on Consumer Electronics . He became a Fellow of the international society for optical engineering (SPIE) in 2003. Prof. Ebrahimi has initiated more than two dozen National, European and International cooperation projects with leading companies and research institutes around the world. He is a co-founder of Genista SA, a high-tech start-up company in the field of multimedia quality metrics. In 2002, he founded Emitall SA, start-up active in the area of media security and surveillance. In 2005, he founded EMITALL Surveillance SA, a start-up active in the field of privacy and protection. He is or has been associate Editor with various IEEE, SPIE, and EURASIP journals, such as IEEE Signal Processing Magazine, IEEE Trans. on Image Processing, IEEE Trans. on Multimedia, EURASIP Image Communication Journal, EURASIP Journal of Applied Signal Processing, SPIE Optical Engineering Magazine. Prof. Ebrahimi is a member of Scientific Advisory Board of various start-up and established companies in the general field of Information Technology. He has served as Scientific Expert and Evaluator for Research Funding Agencies such as those of European Commission, The Greek Ministry of Development, The Austrian National Foundation for Scientific Research, The Portuguese Science Foundation, as well as a number of Venture Capital Companies active in the field of Information Technologies and Communication Systems. His research interests include still, moving, and 3D image processing and coding, visual information security (rights protection, watermarking, authentication, data integrity, steganography), new media, and human computer interfaces (smart vision, brain computer interface).
He is the author or the co-author of more than 200 research publications, and holds 14 patents. Prof. Ebrahimi is a member of IEEE, SPIE, ACM and IS&T.
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http://mmspl.epfl.ch Karen ScrivenerDe nationalité anglaise, Karen Scrivener est née en 1958. Au cours de sa carrière, ses travaux et sa recherche traitaient des domaines suivants: Identification du développement microstucturale pendant l'hydratation du ciment. Elaboration d'une approche multitechnique pour étudier la microstucture des ciments et bétons, avec accent sur la quantification par analyse des images d'électrons retrodiffusés. Caractérisation de l'auréole de transition de la pâte de ciment autour des granulats. Compréhension des processus de dégardation des bétons, en particulier le gonflement lié à la formation de l'éttringite retardée dans les bétons étuvés.
Sabine SüsstrunkProf. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.
Daniel SageExpertise
Publications
Enseignement et PhD A co-dirigé les thèses EPFL de Daniel Andreas Schmitter, Anaïs Badoual, Laurène Donati Cours Bioimage informatics BIO-410 Le cours fournit une complète revue des méthodes, algorithmes et des outils logiciels utilisés en analyse d'images biologiques. Il expose les concepts fondamentaux et les solutions informatiques permettant d'extraire des informations quantitatives à partir d'images multidimensionnelles. Fundamentals of Image Analysis EE
Auke IjspeertAuke Ijspeert is a full professor at the EPFL, and head of the Biorobotics Laboratory (BioRob). He has a B.Sc./M.Sc. in physics from the EPFL (1995), and a PhD in artificial intelligence from the University of Edinburgh (1999). He carried out postdocs at IDSIA and EPFL, and at the University of Southern California (USC). He then became a research assistant professor at USC, and an external collaborator at ATR (Advanced Telecommunications Research institute) in Japan. In 2002, he came back to the EPFL as an SNF assistant professor. He was promoted to associate professor in October 2009 and to full professor in April 2016. His primary affiliation is with the Institute of Bioengineering, and secondary affiliation with the Institute of Mechanical Engineering. His research interests are at the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He is interested in using numerical simulations and robots to get a better understanding of sensorimotor coordination in animals, and in using inspiration from biology to design novel types of robots and adaptive controllers. (see for instance Ijspeert et al Science 2007, Ijspeert Science 2014, and Nyakatura et al Nature 2019). He is also investigating how to assist people with limited mobility using exoskeletons and assistive furniture. He is regularly invited to give talks on these topics (e.g. TED talk given at TED Global Geneva, Dec 8 2015). With his colleagues, he has received paper awards at ICRA2002, CLAWAR2005, IEEE Humanoids 2007, IEEE ROMAN 2014, CLAWAR 2015, SAB2018, and CLAWAR 2019. He is an IEEE Fellow, member of the Board of Reviewing Editors of Science magazine, and associate editor for the IEEE Transactions on Medical Robotics and Bionics and for the International Journal of Humanoid Robotics. He has acted as an associate editor for the IEEE Transactions on Robotics (2009-2013) and for Soft Robotics (2018-2021). He was a guest editor for the Proceedings of IEEE, IEEE Transactions on Biomedical Engineering, Autonomous Robots, IEEE Robotics and Automation Magazine, and Biological Cybernetics. He has been the organizer of 7 international conferences (BioADIT2004, SAB2004, AMAM2005, BioADIT2006, LATSIS2006, SSRR2016, AMAM2019), and a program committee member of over 50 conferences.
Pierre DillenbourgAncien instituteur primaire, Pierre Dillenbourg obtient un master en Sciences de lEducation (Université de Mons, Belgique). Dans son projet de master en 1986, il est l'un des premiers au monde à appliquer les méthodes de 'machine learning' à l'éducation, afin de développer un 'self-improving teaching system'. Ceci lui permettra de débuter une thèse de doctorat en informatique à l'Université de Lancaster (UK) dans le domaine des applications éducatives de lintelligence artificielle. Il a été Maître dEnseignement et de Recherche à lUniversité de Genève. Il rejoint l'EPFL en 2012, où Il fut le directeur du Centre de Recherche sur l'Apprentissage, la formation et ses technologies(CRAFT), puis académique du Centre pour l'Education à l'Ere Digitale (CEDE) qui met en oeuvre la stratégie MOOC de l'EPFL (plus de 2 millions d'inscriptions). Il est actuellement professeur ordinaire en technologies de formation aux sein de la faculté Informatique et Communications et dirige laboratoire d'ergonomie éducative (CHILI). Depuis 2006, il a aussi été le directeur de DUAL-T, la 'leading house' dédiée aux technologies pour les systèmes de formation professionnelle duale. Il a fondé plusieurs start-ups dans l'éducation et rejoint plusieurs conseils d'administration. En 2017, Il a créé avec des collègues le 'Swiss EdTech Collider', un incubateur qui rassemble 80 start-ups dans le domaine des technologies éducatives. En 2018, ils ont lancé LEARN, le centre EPFL pour les sciences de l'apprentissage, lequel regroupe les initiatives locales en innovation éducative. Pierre est un 'inaugural fellow of the International Society of Learning Sciences'. Il est actuellement le Vice-Président Associé pour l'Education à l'EPFL.
Patrick JermannAfter studies in Geneva (TECFA) and Pittsburgh (LRDC) I joined EPFL in 2003 to coordinate eLearning projects and conduct research in the field of Computer Supported Collaborative Learning (CSCL). Starting 2013 I am responsible for MOOCs production at the Center for Digital Education (CEDE).Former Associate Editor for the IEEE Transactions on Learning Technologies and former Member of the Editorial Board for the International Journal of Computer Supported Collaborative Learning (iJCSCL). Specialties: Interaction analysis, research methods, statistical methods, prototyping, software development, pedagogical design.
Martin OderskyEnseignement et PhD Doctorant·es actuel·les Matthieu Bovel, Yaoyu Zhao, Anna Herlihy, Nguyên Cao Pham, Yichen Xu A dirigé les thèses EPFL de Julie Vachon, Matthias Zenger, Michel Schinz, Philippe Altherr, Vincent Cremet, Burak Emir, Stéphane Micheloud, Iulian Dragos, Philipp Haller, Gilles Dubochet, Tiark Rompf, Ingo Maier, Lukas Rytz, Aleksandar Prokopec, Heather Miller, Vlad Ureche, Nada Amin, Manohar Jonnalagedda, Hubert Plociniczak, Vojin Jovanovic, Sandro Stucki, Eugene Burmako, Dmytro Petrashko, Séb
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.
