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.
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,
Michael Christoph GastparMichael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008.
He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands.
His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience.
He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.
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.
Michaël UnserExpertise
Image Processing, Medical Imaging, Biological Imaging, Wavelets, Splines, Multiresolution
Michael Unser is Full Professor with EPFL’s school of Engineering and the academic director of EPFL's Center for Imaging, Lausanne, Switzerland. His primary areas of investigation are signal processing, biomedical imaging and applied functional analysis. He is internationally recognized for his research contributions to sampling theory, wavelets, the use of splines for image processing, stochastic processes,
Stefano MischlerStefano Mischler obtained the diploma in materials science in 1983 at the Swiss Federal Institute of Technology ETHZ in Zurich. He accomplished his PhD thesis in the field of surface analysis and corrosion at the Materials department of the Swiss Federal Institute of Technology EPFL in Lausanne in 1988. In the years 1989-1990 he held a postdoctoral position at the United Kingdom Atomic Energy Establishment in Harwell (Oxfordshire) where he developed novel quantification procedures for Auger Electron Spectroscopy and high lateral resolution surface analytical methods for fiber reinforced ceramics. In 1991 he joined the newly created Tribology group at the Laboratory for Metallurgical Chemistry of the EPFL where he developed research activities in the field of wear-corrosion interactions (tribocorrosion) and of tribological coatings. He is currently head of the tribology group and is developing a reserach and training activity devoted to modern aspects of tribology and surface science and technology, including surface chemical effects in tribology, biotribology and biocorrosion, tribology in microfabrication processes and wear protection methods. In 2006 he spent a sabbatical leave of 3 months at the Tokyo Medical and Dental University, Institute of Biomaterials.
Giovanni De MicheliExpertise
Design technologies for integrated systems on silicon, such as synthesis, hw/sw codesign and low-power design, as well as systems on heterogeneous platforms including electrical and biological components.
Scientific Director of EcoCloud Center at EPFL
Directing activities towards creating sustainable computation including AI.Designing energy-savvy data centers and edge devices.
More information
Please read http://si2.epfl.ch/~demichel/
Giovanni De Micheli is a research scientist in electronics and Mika Tapani GöösWebsite
https://theory.epfl.ch/mika/
Teaching & PhD PhD Students Valentin Imbach, Ziyi Guan, Artur Riazanov, Anastasiia Sofronova, Weiqiang Yuan Past EPFL PhD Students Maystre Gilbert Théodore Courses Computational complexity CS-524 In computational complexity we study the computational resources needed to solve problems and understand the relation between different types of computation. This course advances the students knowledge of computational complexity, and develop an understanding o Olga FinkTeaching & PhD PhD Students Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei Past EPFL PhD Students Ismail Nejjar, Mengjie Zhao Courses Data Science for infrastructure condition monitoring CIVIL-332 The course will cover the relevant steps of data-driven infrastructure condition monitoring, starting from data acquisition, going through the steps pre-processing of real
Thomas MountfordTeaching & PhD Past EPFL PhD Students Damien Gauthier, Samir Brahim Belhaouari, Driss Baraka, Daniel Rodrigues Valesin, Samuel Schöpfer, Kamran Kalbasi, Jacques Saliba, Hao Xue, Keming Chen Past EPFL PhD Students as codirector Guillaume Charles Woessner Courses Analysis I MATH-101(d) Study the fundamental concepts of analysis, and the differential and integral calculus of real-valued functions of one real variable. Markov chains MATH-332 The course follows the text of Norris
Suliana ManleyFrom 2016 Associate professor, EPFL, Lausanne, Switzerland
2009-2016 Tenure-track assistant professor, EPFL, Lausanne, Switzerland
2006-2009 Post-Doctoral fellow, National Institutes of Health, Bethesda, MD, USA
2004-2006 Post-Doctoral fellow, Massachusetts Institute of Technology, Cambridge, MA, USA
1999-2004 PhD (Physics) Awarded 06/2004, Harvard University, Cambridge, MA, USA
1993-1997 Bachelors (Cum Laude) Physics & Mathematics, Rice University, Houston, TX, USA
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).
Christophe van GerreweyChristophe Van Gerrewey (1982) is an architecture critic and theorist, writing about contemporary buildings, their recent histories and intellectual dimensions, and their connections to society, philosophy, art and literature. In particular, he is an expert on the work of OMA/Rem Koolhaas as well as on Belgian architecture. He is one of the editors of architecture journal OASE, and of art and culture journal De Witte Raaf. In his writings, architecture is considered as a source of comprehensive and integrated knowledge that pertains to diverse disciplines – a way of looking at, and of understanding, many aspects of the world we live in. This gives his activities an unusually broad and comprehensive aspect, transcending divisions of knowledge.
Since 2015, he is Assistant Professor Tenure Track of architecture theory at EPFL Lausanne. He was trained as an architect-engineer at Ghent University and as a literary theorist at KU Leuven. In Dutch, his mother tongue, he has published three novels and a collection of essays between 2013 and 2017.
Kamiar AminianKamiar Aminian received the M.S. degree in electrical engineering in 1982, the Ph.D degree in biomedical engineering in 1989 and the Postgraduate degree on technical computing in 1993 from Ecole Polytechnique Fédérale de Lausanne (EPFL). He was assistant professor (1994-1996) with Sharif University of Technology (Tehran). He joint EPFL in 1996 where he is currently Professor of medical instrumentation and the director of the Laboratory of Movement Analysis and Measurement in the Institute of Bioengineering of EPFL. His research interests include methodologies for human movement monitoring and analysis in real world conditions mainly based on wearable technologies and inertial sensors with emphasis on gait, physical activity and sport. His research aims to perform outcome evaluation in orthopaedics, to improve motor function and intervention programs in aging and patients with movement disorders and pain, and to identify metrics of performance in sport science.
Kamiar Aminian is a member of the International Society of Posture and Gait Research, the Institute of Electrical and Electronics Engineers, the European Society of Movement Analysis in Adults and Children, the Prevention of fall Network Europe, the Intentional Society of Biomechanics and the President of the 3D analysis of the human movement group. He is author or co-author of more than 450 scientific papers published in reviewed journals and presented at international conferences and holds 10 patents related to medical devices.
Full CV
ORCID
Jean-Marie Drezet1992-1996: PhD work at Laboratoire de Métallurgie Physique under the supervision of Prof. Michel Rappaz (cf : http://library.epfl.ch/theses/?display=detail&nr=1509) 1997-2000: EMPACT project (European Modelling Programme for Aluminium Casting Technologies) 2001-2004: VIRCAST project (European Virtual Casting) 2005-2006: Study of the sawing process of rolling sheet al. ingots (Alcan Fonds) 2005-2006: WelAIR project (Welding of Airframes, EADS) 2005-2008: study of the electron beam welding of Cu-Cr-Zr alloys (CEA, France) 2006-2008: study of the laser beam welding of Al-Li alloys (EADS, France) 2008-2011: co-supervision with Prof. A. Nussbaumer of the PhD work of C. Acevedo on the influence of residual stresses on the fatigue design of tubular welded joints, http://library.epfl.ch/theses/?nr=5056 2007-2010: co-supervision with Prof. J.-F. Molinari of the PhD work of K. Shahim on the Normal Pressure Hydrocephalus (S. Momjian, HU-Genève et R. Sinkus, ESPCI-Paris), http://library.epfl.ch/theses/?nr=5191 2008-2012: co-supervision with Prof. M. Rappaz of the PhD work of M. Sistaninia on the simulation of solidification cracking using granular models (CCMX-MERU project) 2010-2014: supervision with Prof. M. Rappaz of the PhD work of N. Chobaut on the modelling of stresses during quenching of thick heat treatable aluminium parts (CCMX-MERU project) 2011-2015: supervision with Prof. H. Van Swygenhoven-Moens of the PhD work of P. Schloth on precipitation during quenching of thick heat treatable aluminium parts (CCMX-MERU project) Marie Estelle Solange ViolayExpertise
-Rock mechanics-Rock physics-Fault and earthquake mechanics-Hydro-mechanical couplings
Teaching & PhD PhD Students Cindy Mikaelian, Francesco Lazari, Franco Matías Robbiano Muñoz, Karin Andrea Hofer Apostolidis, Andrea Mazzeo Past EPFL PhD Students Felipe Orellana, Mateo Acosta, Chiara Cornelio, Corentin Noël, Federica Paglialunga, Antoine Guggisberg Courses Designing Testing Machines for Geomechanics ME-700 Develop your own machines to meet your scientific needs. Learn how to bu
Leonard Paul Arthur HardimanTeaching & PhD Courses Analysis I (for CMS-3) PREPA-003(b) This first-semester course aims to establish the basics of differential calculus. ICS (for CMS) PREPA-025 This course presents the basics of Python programming with an introduction to algorithmic thinking and to some fundamental algorithms. Information and scientific computation (for MAN) PREPA-094 After an introduction to Python programming and algorithmic science, numerical methods concerning nonline
