Jean-Paul Richard KneibExpertise
Cosmology, Gravitational Lensing, Redshift Survey, First Galaxies, Cluster of Galaxies, Fiber-positioner robotic system, Radio Astronomy, Space Sustainibility
Current work
- Former Principal investigator of the SDSS-IV eBOSS project. This is an international project assembling more than 150 participants located mainly in Europe, USA and China. This project will observe 1.5 million galaxy and quasars over 2014-2020 to accurately measure the expansion history of the Universe. * Member of the DESI co
Stephan MorgenthalerACADEMIC POSITIONS
Professor of Applied Statistics, EPFL, 1988-present
Associate Professor of Statistics, Yale University, 1987-1988
Assistant Professor of Statistics, Yale University, 1983-1987
Instructor of Mathematics, Massachusetts Institute of Technology, 1983-1984
Chiara PerrinaTeaching & PhD PhD Students Kimberly Sarah Keyser, Irwin Khai Cheng Tay Past EPFL PhD Students as codirector Jennifer Maria FriedenMaster's theses Loîs NiggliParzival NussbaumFlorian Simmenauer (Project carried out at the University of Geneva in the AMS experiment)Kimberly KeyserLéonard LebrunPhysics Research Training Semester Kimberly Keyser
Jean-Louis ScartezziniDirector of EPFL Solar Energy and Building Physics Laboratory (1994-present); Founder & Director of ENAC Institute of Infrastructures, Resources and Environment (2002-2009); Founder & Director of EPFL Doctoral Program in Environment (2002-2009); Co-Director of EPFL Institute of Building Technology (1994-1997); Associate Professor of Building Physics at EPFL (1994-1997); Associate Professor of Building Physics at University of Geneva (1990-1997); Group Leader & Research Fellow at the EPFL Solar Energy Research Group (1981-1989); Research Fellow at the Applied Geophysics Institute of University of Lausanne (1980-1981).
Olivier MartinOlivier J.F. Martin received the M.Sc. and Ph.D. degrees in physics in 1989 and 1994, respectively, from the Swiss Federal Institute of Technology, Lausanne (EPFL), Switzerland. In 1989, he joined IBM Zurich Research Laboratory, where he investigated thermal and optical properties of semiconductor laser diodes. Between 1994 and 1997 he was a research staff member at the Swiss Federal Institute of Technology, Zurich (ETHZ). In 1997 he received a Lecturer fellowship from the Swiss National Science Foundation (SNSF). During the period 1996-1999, he spent a year and a half in the U.S.A., as invited scientist at the University of California in San Diego (UCSD). In 2001 he received a Professorship grant from the SNSF and became Professor of Nano-Optics at the ETHZ. In 2003, he was appointed Professor of Nanophotonics and Optical Signal Processing at the Swiss Federal Institute of Technology, Lausanne (EPFL), where he is currently head of the Nanophotonics and Metrology Laboratory and Director of the Microengineering Section.
Yves RevazYves Revaz is a scientist at LASTRO/EPFL. After successful studies in physics at EPFL, he accomplished his PhD entitled: "Dynamics of external regions of spiral galaxies and constraints on the dark matter", at the Geneva Observatory in the galactic dynamics group of Prof. D. Pfenniger. He then moved to the Paris Observatory to work at the LERMA (Laboratory for Studies of Radiation and Matter in Astrophysics) under the supervision of Prof. F. Combes on the understanding of cooling flows in galaxy clusters. He joined LASTRO at EPFL in 2007, where, in collaboration with Pascale Jablonka, he developed a new TreePM/SPH chemo-dynamical code called GEAR, designed to study the chemical evolution of galaxies. His current main research focus on the evolution of dwarf spheroidal galaxies and their link with the cosmology. Yves Revaz is also the author of pNbody, a parallelized python toolbox designed to manipulate large N-body systems.
Stephan BrunnerTeaching & PhD PhD Students Hugo Jean Elie Chkroun, Nicole Vadot, Oraz Anuaruly, Haomin Sun, Isabel Muzio, Fabien Nicolas Jeanquartier Past EPFL PhD Students Ajay Chandrarajan Jayalekshmi, Arnas Volcokas Past EPFL PhD Students as codirector Xavier Lapillonne, Thibaut Vernay, Julien Stanislas Pierre Dominski, Gabriele Merlo, Emmanuel Lanti, Noé Ohana, Moahan Murugappan Courses Plasma instabilities PHYS-736 To complete the theoretical knowledge acquired before the graduate studies.
Olivier SauterTeaching & PhD PhD Students Cassandre Ekta Contré, Antonia Frank, Peizheng Zhang, Jean-Pierre Thomas Svantner, Cristina Venturini, Cosmas Quirin Lorenz Heiss, Daniel Perales Rios, Viacheslav Bochkarev, Jan Jakub Frybes, Paul Véronique Guillaume Devianne Past EPFL PhD Students Clemente Angioni, Petri Nikkola, Alberto Bottino, Andrei Martynov, Emiliano Fable, Costanza Zucca, Federico Felici, Dávid Wágner, Doohyun Kim, Anna Teplukhina, Mengdi Kong, Francesco Carpanese, Simon Van Mulders, Stefano Marchioni, F
Laurent VillardTeaching & PhD Past EPFL PhD Students Matteo Maccio, Olivier Fischer, Gloria Luisa Falchetto, Paolo Angelino, Sébastien Jolliet, Xavier Lapillonne, Thibaut Vernay, Julien Stanislas Pierre Dominski, Gabriele Merlo, Emmanuel Lanti, Noé Ohana, Moahan Murugappan
Sabine SüsstrunkProf. Dr. Sabine Süsstrunk leads the Image and Visual Representation Lab in the School of Computer and Communication Sciences (IC) at EPFL since 1999. From 2015-2020, she was also the first Director of the Digital Humanities Institute (DHI), College of Humanities (CdH). Her main research areas are in computational photography, computational imaging, color image processing and computer vision, machine learning, and computational image quality and aesthetics. Sabine has authored and co-authored over 200 publications, of which 7 have received best paper/demo awards, and holds over 10 patents. Sabine served as chair and/or committee member in many international conferences on image processing, computer vision, and image systems engineering. She is President of the Swiss Science Council SSC, Founding Member and Member of the Board (President 2014-2018) of the EPFL-WISH (Women in Science and Humanities) Foundation, Member of the Board of the SRG SSR (Swiss Radio and Television Corporation), and Member of the Board of Largo Films. She received the IS&T/SPIE 2013 Electronic Imaging Scientist of the Year Award for her contributions to color imaging, computational photography, and image quality, and the 2018 IS&T Raymond C. Bowman and the 2020 EPFL AGEPoly IC Polysphere Awards for excellence in teaching. Sabine is a Fellow of IEEE and IS&T.
Radhakrishna AchantaExpertise
Image Processing, Computer Vision, and Machine Learning
Radhakrishna Achanta has a PhD in computer science from EPFL, an MSc from NUS, Singapore, and a BEng from India. He has over 20 years of industrial and academic experience in the capacities of an individual contributor as well as a manager. His domains of expertise are Computer Vision, Image Processing, and Machine Learning. He has authored over 50 peer reviewed papers and patents, which have more than 23’000 citations. He has co-founded 4 st
Thibault Adrien KuntzerTeaching & PhD Courses Space mission design and operations EE-585 Space mission design and operations takes you through the necessary concepts to understand a mission mission, from planning to actually flying the spacecraft. We will focus on concepts and see many examples ranging historical probes to very topical missions.
Michaela HirschmannTeaching & PhD PhD Students Patrick Hirling, Jonathan Petersson, Lucie Scharré Courses Astrophysics III : galaxy formation and evolution PHYS-465 Galaxy formation & evolution is about studying how galaxies in our Universe come into existence, how they evolve and what shapes their properties. This course describes the observational facts of galaxies and the various processes of galaxy evolution as seen from theoretical/numerical models. General physics : thermodynamics (English) P
David Richard HarveyExpertise
CosmologyDark MatterGalaxy ClustersStrong Gravitational LensingWeak Gravitational Lensing
I am an observational and theoretical astrophysicist at EPFL. My main area of research is dark matter and trying to understand its properties and dynamics. I love to use deep learning in my work and understand how fondation models and generative AI can help us understand the Universe. I am a member of Euclid and ARRAKIHS and the lead of the self interacting dark matter Key Project in Euclid. Outside of my r
