Yoan René Cyrille CivetEnseignement et PhD Doctorant·es actuel·les Simon Holzer A co-dirigé les thèses EPFL de Dan Shi, Jasha Poliakine, Jonathan Chavanne, Quentin Philippe Mario De Menech Cours Electrotechnique I MICRO-100 Le cours aborde les bases des circuits électriques composés d'éléments linéaires, en régime continu. Une série de méthodes de transformations sera traitée.Le régime alternatif est traité en fin de semestre (calcul complexe).De nombreux exemples ainsi que des démonstrations illustrent le cours
Ian SmithPhD Université de Cambridge, 1982 Interêts 1 Contrôle actif de la forme des structures pour améliorer leur aptitude au service et leur déploiement 2 Structures biomimétiques (apprentissage, auto-diagnostic, auto-réparation) 3 Gestion de l'infrastructure par l'identification structurale 4 Applications avancées de l'informatique Plus de détails, voir https://www.epfl.ch/labs/imac/fr/recherche/smith_ian_fr/ Giancarlo Ferrari TrecateExpertise
Automatic control, Dependable control, Neural-network Control, Machine learning, Microgrids, Hybrid systems
Mission
See the webpage of the DECODE (Dependable Control and Decision) group.
Teaching & PhD PhD Students Laura Meroi, Julien Pallage, Nicolas Léo Pierre Kirsch, Simone Baratto, Daniele Martinelli, Riccardo Cescon, Jakob Nylöf, Sabri El Amrani Past EPFL PhD Students Pulkit Nahata, Mustafa Sahin Turan, Baiwei Guo, Jean-Sébastien Brouillon, Clara Galimberti, Andrea Martin, Muhammad Zakwan,
Nathalie JustExpertise
MRIfMRIfMRSPreclinicalAnimal PhysiologyOptogenetics, Chemogenetics
Travail en cours
fMRS, Deuterium Imaging and Hyperpolarization
Enseignement et PhD Cours Advanced biomedical imaging methods and instrumentation PHYS-719 The main goal of this course is to give the student a solid introduction into approaches, methods, and instrumentation used in biomedical research. A major focus is on Magnetic Resonance Imaging (MRI) and related methods, but other imaging modalities will be increa
Robert WestRobert West is a tenure-track assistant professor of computer science at EPFL, where he heads the Data Science Lab. In his research, he develops and applies techniques in machine learning, computational social science, natural language processing, social network analysis, and data mining. Bob also collaborates closely with the Wikimedia Foundation, in his role as a Wikimedia Research Fellow. Bob’s work has won several awards, including best/outstanding paper awards at ICWSM’21, ICWSM’19, and WWW’13, a best-paper runner-up award at WWW’16, a Google Faculty Research Award, a Facebook Research Award, a Hewlett-Packard Graduate Fellowship, and a Facebook Graduate Fellowship. He is actively involved in the research community, e.g., as an Associate Editor of ICWSM and EPJ Data Science and as a co-founder of the Wiki Workshop (held at WWW and ICWSM) and the Applied Machine Learning Days. Bob received his PhD in Computer Science from Stanford University, his MSc from McGill University, Canada, and his undergraduate degree from Technische Universität München, Germany.[Last updated: 25 Aug 2021]
Nikolaos StergiopoulosEducation
MTE, Managing the Technology Enterprise Program (2000), IMD, Lausanne
Ph.D. in Biomedical Engineering & Engineering Mechanics (1990) Iowa State University, Ames, Iowa.
MS in Biomedical Engineering (1987) Iowa State University, Ames, Iowa.
Diploma in Mechanical Engineering (1985) National Technical University of Athens.
Professional Activities
2002 - present: Professor and director of LHTC
2010 - present: Founder and director of Rheon Medical SA, Préverenges, Switzerland
2008 - present: Founder and director of Antlia S.A., PSE-C, EPFL campus, Switzerland
1998 - 2007: Founder and Scientific Director of EndoArt S.A., Lausanne, Switzerland
1996 - 2002: Assistant professor at the Biomedical Engineering Laboratory, Swiss Federal Institute of Technology, Lausanne, Switzerland.
1991 - 1996: Research Associate at Swiss Federal Institute of Technology - Lausanne
1990 - 1991: Lecturer, Iowa State University
Anastasios VassilopoulosEnseignement et PhD Doctorant·es actuel·les Filippo Mannino, Joseph Vincent Arnaud Bernaert, Seyed Shayan Khalooei Tafti A dirigé les thèses EPFL de Alireza Farajzadeh Moshtaghin, Abdolvahid Movahedirad, Dharun Vadugappatty Srinivasan A co-dirigé les thèses EPFL de Ye Zhang, Behzad Dehghan Manshadi, Omar Moussa, Roohollah Sarfaraz Khabbaz, Moslem Shahverdi, Wei Sun, Haifeng Fan, Maria Savvilotidou, Myrsini Angelidi, Aida Cameselle Molares, Niloufar Vahedi, Jialiang Fan, Congzhe Wang Cours Advanced compo
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.
