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]
Frédéric MilaExpertise
Condensed matter theory, strongly correlated systems, frustrated and quantum magnetism, tensor networks
Mission
Perform research in condensed matter theory, whenever possible in collaboration with experimentalists at EPFL and throughout the world
Current Work
- Magnetism on the Shastry-Sutherland lattice- Tensor network approach to 2D strongly correlated systems- Thermal properties of 2D frustrated quantum magnets- Exotic phases of quantum one-dimensional models
Since 2003 Full Professor at EPFL (
Ronan BoulicI come from Brittany, France, where I have completed my PhD degree in Computer Science in 1986 from the University of Rennes, France, at the INRIA-IRISA research institute. I also received the Habilitation degree from the University of Grenoble, France, in march 1995. I was hired in 1989 as First Assistant in the VRLAB, I became scientific collaborator, and senior researcher. I'm presently Senior Scientist (MER) and leader of the Immersive Interaction research Group (IIG). I'm co-author of around 150 research papers among which 43 appeared in international peer-reviewed journals. I have contributed to multiple SNF projects and EU projects. Please check iig.epfl.ch for more details.
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
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,
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
Alexandre TerrierExpertise
BiomechanicsJoint biomechanicsMecano-biologyOrthopaedic researchPatient-specific modellingContinuum mechanicsFinite Element AnalysisExperimental testingStatistical analyses
Expertise
BiomechanicsJoint biomechanicsMecano-biologyOrthopaedic researchPatient-specific modellingContinuum mechanicsFinite Element AnalysisExperimental testingStatistical analyses
Mission
Develop patient-specific models of human joints and their replacement, in parallel with a database of patients, in order to test statistic
Solomzi MakohlisoTeaching & PhD Courses Development engineering ENV-470 This course teaches the fundamentals of technologies for development (Development Engineering) to design, pilot, and deploy appropriate, affordable and robust technologies to address sustainable development challenges and especially those related to extreme poverty in Low-income settings. Science, Technology & Vulnerability HUM-287 This course explores how science and technology can address extreme vulnerability caused by
Klaus Benedikt SchönenbergerVision: Scientific research and technology development can be mobilized to help the poorest and most vulnerable in this world. Klaus Schönenberger obtained an MSc in Microengineering (1993), followed by a PhD (1996) from the Swiss Federal Institute of Technology in Lausanne (EPFL). After a post-doc at Lawrence Livermore National Laboratory in California, he spent over 10 years in the medical devices industry in leading positions such as Vice-President of Worldwide R&D in a 100mcompanyandGlobalVice−ResidentofResearchandTechnologyina1bn company. In 2009, as he was working for a medical devices company, he received a shock: he realized that there is a huge imbalance in access to medical technology in industrialized versus low and middle-income countries. After a closer look, he discovered that he imbalance’s main cause is a mismatch between existing technologies and business models, with those needed in low and middle-income countries. He decided to leave industry and, in 2009, he co-founded the EssentialMed Foundation, an innovative non-profit venture. In 2011, realizing that both technology and business models needed a profound rethinking, he joined EPFL where he launched EssentialTech, an initiative inspired by the philosophy of EssentialMed but expanded to a much wider portfolio of "essential" technologies. The university-wide program aims to develop innovative technologies and business models, for the benefit of sustainable development in low and middle-income countries. In this role, he has already launched and overseen a dozen large projects. Major Humanitarian actors such as the ICRC, MSF and Terre des Hommes took notice of the innovative approach proposed, and decided to collaborate in 2015-2016. This has resulted notably in the joint creation between EPFL and ICRC, of the Humanitarian Tech Hub at EPFL. In May 2017, Klaus directed and launched a MOOC(Massive Open Online Course) entitled “Technology Innovation for Sustainable Development” which aims to spread the unique methodology and approach worldwide. As of today, more than 6000 people have enrolled. In 2018 a first spin-off company was created. Award winning Pristem SA will deploy an innovative new digital xray imaging system, specifically designed for low-income contexts. In December 2018, the creation of the EssentialTech centre was announced by EPFL's presidency, and Klaus is now the Centre's director. Another spin-off of the EssentialTech Centre is the company HMCare, launched in 2020, which is deploying a transparent surgical mask. 