Tomislav MilekovicMission
Develop and advance brain-computer interfaces - devices that allow people with paralysis to control computers, robotic hands or their own paralyzed muscles directly by their brain activity - for the purpose of helping people with paralysis regain their lost abilities.
I obtained my dipl. ing. degree in Physics (equivalent to MSc in Physiscs) from the Faculty of Science of the Zagreb University in July 2006. During my undergraduate studies, I was awarded the Best Student award of the Department of Ph
Barbara JobstmannExpertise
Automatic synthesis and repair of reactive programsQuantitative analysis and synthesisFormal verification and modelling of systems (e.g., hardware designs, transactional memories, biological systems, business processes,...)
About me
I am a lecturer for the school of computer and communication sciences and I organise different outreach activities (for more details visit our IC Declic Summer School Webpage). In addition, I work for Cadence Design Systems.My research focused on the development of rel
Nicolas HenchozDepuis 2007
Fondateur et directeur de l'EPFL ECAL Lab.
Quelques projets marquants:
Sunny Memorie avec l'ECAL, l'ENSCI-Les Ateliers (Paris), le Royal College of Arts (Londres), le California College of the Arts (San Francisco)
Give Me More (Réalité Augmentée)
Hidden Carbon (Matériaux composites, avec l'ECAL etl'ENSCI-Les Ateliers (Paris)
Cours postgrade: certificate of Advanced Studies en Réalité Augmentée
Depuis oct. 2000
Adjoint du Président de l'EPFL pour la communication
1998-2000
Présentateur et chef d'édition du Journal Télévisé /Télévision suisse romande
1994-2000
Journaliste-reporter, Télévision Suisse romande
1994-2000
Fondateur et directeur de ICAT (Institut pour la communication et l'analyse de Technologies )
1991-2000
Journaliste scientifique au Journal de Genève (formation professionnelle RP)
1986-1991
Etudes et diplôme d'ingénieur en sciences des matériaux, EPFL. Prix Matériaux 91
Tatiana PieloniEnseignement et PhD Doctorant·es actuel·les Yi Wu, Lode Vanhecke A co-dirigé les thèses EPFL de Xavier Buffat, Claudia Tambasco Cours Advanced concepts in particle accelerators PHYS-751 Introduction to particle accelerators PHYS-448 Le cours présente des idées de base de physique des accélérateurs. Nous allons examiner les caractéristiques et les limitations de ces machines utilisés dans les sciences comme la physique des hautes énergies, des matériaux et de la vie.
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).
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
Ugo SiravoEnseignement et PhD Cours Fusion and industrial plasma technologies PHYS-632 The course provides an overview of the technologies that are essential for fusion developments and for industrial plasma applications, highlighting the synergies between the two fields. The aim is to provide a combined theoretical and experimental background to the various topics.
