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).
Yves LeterrierYves Leterrier joined EPFL in 1993 and is a faculty member of the Materials Institute. He is a senior scientist and lecturer in the Laboratory for Processing of Advanced Composites (LPAC, previously Laboratory of Composite and Polymer Technology, LTC). Activities
2000-2005: Foundation and Chair of the Korea-Switzerland joint symposia on materials and micro-technologies2004-2008: Board member of FLEXIDIS (the European flexible display consortium) 2004-2009: Group leader on lightweight materials for Solar ImpulseSince 2008: Board member of the French Adhesion SocietySince 2000: President of the EPFL Materials Science Library commissionSince 2012: Editorial board member, Applied Surface ScienceSince 2014: Associate Editor, Frontiers in MaterialsSince 2021: Coordinator of the EPFL Minor on 'Engineering for Sustainability'
Background
1987: MS in materials science and solid state physics (INPL, France) 1991: PhD in materials science (Ecole des Mines, INPL, France) 1992: Research Associate, National Institute of Standards and Technology (NIST, USA)
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,
Alexander MathisAlexander studied pure mathematics with a minor in logic and theory of science at the Ludwig Maximilians University in Munich. For his PhD also at LMU, he worked on optimal coding approaches to elucidate the properties of grid cells. As a postdoctoral fellow with Prof. Venkatesh N. Murthy at Harvard University and Prof. Matthias Bethge at Tuebingen AI, he decided to study olfactory behaviors such as odor-guided navigation, social behaviors and the cocktail party problem in mice. During this time, he increasingly got interested sensorimotor behaviors beyond olfaction and started working on proprioception, motor adaption, as well as computer vision tools for measuring animal behavior.
In his group, he is interested in elucidating how the brain gives rise to adaptive behavior. One of the major goals is to synthesize large datasets into computationally useful information. For those purposes, he develops algorithms and systems to analyze animal behavior (e.g. DeepLabCut), neural data, as well as creates experimentally testable computational models.
Valentin Alexandre Guy GabeffRechercheWildAI WildAI is an interdisciplinary project that aims to bring together behavioral neurosciences, ecology, environmental computational sciences, computer vision and machine learning to scale up conservation research. From unmanned aerial vehicles (UAV) and camera trap (CT) acquired images, we seek to model the wildlife habitats in the Swiss National Park to complement ecological knowledge of how wildlife interacts with its environment and how perturbations in the environment can in turn affect w
Devis TuiaI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
Véronique MichaudBackground:
1994 Habilitation à diriger des recherches ( INPG, France)
1991 PhD in Materials Engineering ( MIT, USA)
1987 Ingénieur Civil des Mines ( Ecole des Mines de Paris, France)
Activities:
Since January 2018: Associate Dean of Engineering, in charge of Education
June 2012-Dec.2017: Head of the Materials Science and Engineering Section
Since April 2017: Associate Professor at EPFL
2009-2017 : Professeur Titulaire at EPFL
1997-2009: Researcher at EPFL
1994-1997 : Chef de Travaux au laboratoire MSS-MAT, Ecole Centrale Paris (France)
1991-1994 : Post-doctoral research associate, MIT (USA)
Author of about 300 publications of which 140 in peer-reviewed journals
Elena RaveraTeaching & PhD Courses Terra Epidermis PENS-211 This transversal project aims to test around a case study chosen, the specifics of " reverse soil ." On a chose site, students will be invited to propose a single technical and architectural gesture, and synthesize their concept graphically.
Ian SmithPhD, Cambridge University, 1982 Interests 1 Active shape control for structures for deployment and where serviceability criteria governs 2 Biomimetic structures (learning, self-diagnosis, self-repair) 3 Infrastructure management support through structural identification 4 Advanced computer-aided engineering applications of stochastic optimization and search, multi-criteria analysis, system uncertainties (measurement and modelling), multi-modal approaches (combining statistics with behavior models) More details : see https://www.epfl.ch/labs/imac/research/iansmith/ Harm-Anton KlokExpertise
Polymer design at nanoscaleBiologically-inspired polymers
Mission
Research at the Laboratory of Polymer (LP) focuses on the development of novel advanced polymeric materials with potential applications in optics, electronics or medicine. The philosophy is that precise control over nanoscale structure is an important prerequisite to tailor polymer properties. To this end, a “bottom-up” approach is followed, which starts with designing a new material at the molecular level, in order to be able to pr
Bernard SchneiderTeaching & PhD PhD Students Yesica Gloria, Christian Schellhaas Past EPFL PhD Students Vanessa Laversenne, Sameer Mohammad Khaleel Nazeeruddin, Emma Charlotta Källstig Past EPFL PhD Students as codirector Philippe Guillaume Coune, Emilda Pino, Elisabeth Anne Dirren, Aurélien Lathuilière, Wojciech Janusz Bobela, Lu Zheng, Cylia Cloé Rochat Courses Methods: from disease models to therapy BIOENG-518 This course will describe methods underlying translational approaches from disease modeling an
