Sébastien OttTeaching & PhD Courses Large deviations MATH-533 An introduction to the theory of large deviations, focusing on studying examples and deriving the general theory from the ideas developed in the examples. Probability and statistics (for IC) MATH-232
Hélène RuffieuxTeaching & PhD Courses Probability and statistics MATH-234(a) This course covers elementary notions of probability and statistics, such as inference, tests, and regression.
Mats Julius StensrudTeaching & PhD PhD Students Ignacio Gonzalez Perez, Gellért Géza Perényi, Lorenzo Gasparollo, Julien David Laurendeau Past EPFL PhD Students Matias Janvin, Amit Sawant Courses Causal thinking MATH-352 This course will give a unified presentation of modern methods for causal inference. We focus on concepts, and we will present examples and ideas from various scientific disciplines, including medicine, computer science, engineering, economics and epidemiology. Probability and statistics (
Elena PerazziTeaching & PhD Courses Advanced derivatives FIN-503 The course covers a wide range of advanced topics in derivatives pricing Game theory and strategic decisions MGT-300 Game theory studies the strategic interactions between rational agents. It has a myriad of applications in politics, business, sports. A special branch of Game Theory, Auction Theory, has recently guided the development of Ebay, Google advertising auctions, and of the Wireless spectrum auctions. Probabili
Vivek SubramanianTeaching & PhD PhD Students Giovanni Ruffolo, Giada Romano, Sanjay Manoharan, Kyle Haas, Claude Dahan, Biruktait Ayele Lemecho, Yagmur Ceren Alatas, Tugçe Delipinar Past EPFL PhD Students Amin Hodaei, Mustafa Mohieldin Fadlelmula Fadlelseed Past EPFL PhD Students as codirector Mohammad Jafarpour Courses Organic and printed electronics MICRO-505 This course addresses the implementation of organic and printed electronics technologies using large area manufacturing techniques. It will provide
Sixuan Sven WangTeaching & PhD PhD Students Leonardo Nevali Courses Bayesian statistics MATH-339 A first introduction to Bayesian statistics, assuming knowledge from first courses in statistics and probability. We will focus on foundational statistical and mathematical aspects such as the decision theoretic background, consistency for large sample sizes, and algorithms for Bayesian computation.
Rajita Ramesh ChandakExpertise
Nonparametric estimation, statistical inference, theory of machine learning
Teaching & PhD Courses Nonparametric estimation and inference MATH-524 Nonparametric models are used to identify a wide range of relationships within data. This course gives a graduate-level overview of nonparametric statistical estimation and inference theory. Statistical inference MATH-562 Inference from the particular to the general based on probability models is central to the statistica
Andrea CapozziExpertise
Nuclear Magnetic Resonance (NMR)Electron Spin Resonance (ESR)Dynamic Nuclear Polarization (DNP)Hyperpolarization TechniquesCryogenics
Open PhD positions
Open PhD position on the Physics of Xenon hyperpolarizationA PhD student position is available on the Physics of Xenon hyperpolarization: Spin Exchange Optical Pumping (SEOP) and Dynamic Nuclear Polarization (DNP)The project builds on a well-established and long-standing collaboration between the Laboratory for Functional and Metabolic Imaging at
Thanh Phong Kevin LêTeaching & PhD Courses MRI Practicals on CIBM preclinical imaging systems PHYS-473 The goal of this course is to teach students how to perform basic MRI and MRS experiments in-vivo and ex-vivo directly on preclinical horizontal ultra-high field MRI systems. Courses MRI Practicals on CIBM preclinical imaging systems The goal of this course is to teach students how to perform basic MRI and MRS experiments in-vivo and ex-vivo directly on preclinical horizontal ultra-high field MRI systems.
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.
Max-Olivier HonglerExpertise
Processus stochastiquesContrôle optimal
Enseignement et PhD A dirigé les thèses EPFL de Yves Salama, Philippe Ciprut, Fabrice Dusonchet, Roger Filliger, Olivier Gallay, Julio Rodriguez, Guillaume Adrien Sartoretti
Eugen Brühwilerbirth date: 19.11.1958 nationality: Swiss (native from Dussnang, Canton of Thurgau) Education : - July 1988 : doctoral degree from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland with a thesis entitled Fracture mechanics of dam concrete subjected to quasi-static and seismic loading conditions - December 1983 : civil engineering diploma (university degree) from the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland Professional Experience : - Since 1st April 1995 : Professor of Structural Engineering at EPFL and Head of the Laboratory of Maintenance, Construction and Safety for Civil Structures (MCS) (often considered being the first chair worldwide devoted exclusively to existing civil structures). - 1991-94 Project Manager and structural engineer with the Swiss Federal Railways (SBB), Division of Bridges and Structures, Zurich: Monitoring and maintenance of bridges and structures, Project manager and checking engineer for the construction of new bridges and rehabilitation of existing bridges. - 1989/90 Research associate at the Department of Civil Engineering, University of Colorado, Boulder, USA : Fracture mechanics of concrete and fracture of concrete dams. - 1986-88 Doctoral student at EPFL-LMC (Building Materials, Prof. Wittmann) : Fracture mechanics of concrete, fracture of concrete dams under seismic loading - 1984/85 Research engineer at EPFL-ICOM (Steel Structures, Prof. Badoux and Prof. Hirt) : Fatigue behaviour and fracture mechanics of riveted bridges
Olivier SchneiderAfter his thesis defense in particle physics in 1989 at University of Lausanne, Olivier Schneider joins LBL, the Lawrence Berkeley Laboratory (California), to work on the CDF experiment at the Tevatron in Fermilab (Illinois), first as a research fellow supported by the Swiss National Science Foundation, and later as a post-doc at LBL. He participates in the construction and commissioning of the first silicon vertex detector to operate successfully at a hadron collider; this detector enabled the discovery of the sixth quark, named "top". Since 1994, he comes back to Europe and participates in the ALEPH experiment at CERN's Large Electron-Positron Collider, as CERN fellow and then as CERN scientific staff. He specializes in heavy flavour physics. In 1998, he becomes associate professor at University of Lausanne, then extraordinary professor at the Swiss Institute of Technology Lausanne (EPFL) in 2003, and finally full professor at EPFL in 2010. Having worked since 1997 on the preparation of the LHCb experiment at CERN's Large Hadron Collider, which started operation in 2009, he is now analyzing the first data. He also contributes since 2001 to the exploitation of the data recorded at the Belle experiment (KEK laboratory, Tsukuba, Japan). These two experiments study mainly the decays of hadrons containing a b quark, as well CP violation, i.e. the non-invariance under the symmetry between matter and antimatter.
Hervé BourlardTeaching & PhD Past EPFL PhD Students Astrid Hagen, Katrin Weber, Todd Stephenson, Jitendra Ajmera, Shajith Ikbal, Mathew Magimai Doss, Mohamed Faouzi Benzeghiba, Mark Barnard, Yann Rodriguez, Hemant Misra, Christos Dimitrakakis, Guillaume Lathoud, Alexei Pozdnoukhov, Agnès Just, Mikaela Keller, Norman Hoon Thian Poh, Dong Zhang, Florent Monay Michaud, Pedro Manuel Da Silva Quelhas, Kevin Smith, Silèye Oumar Ba, Bertrand Mesot, Hamed Ketabdar, David Grangier, Guillermo Aradilla, Jean-François Paiement, Nico
Stéphane JoostExpertise
Geographic Information Science and spatial statisticsMolecular ecology, Landscape genomics, Seascape genomicsSpatial epidemiology, Health geographics
Publications Publications- List of publications
Teaching & PhD PhD Students Marco André Vieira Ruas, Manon Laetitia Pribille, Martine Valérie Besse Past EPFL PhD Students Estelle Rochat, Solange Catherine Gaillard, Oliver Michele Selmoni, Anaïs Ladoy, Annie Sandrine Guillaume Past EPFL PhD Students as codirector Sylvie Stucki, Kevin Leempoel, Martí
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).
