Personnes associées (33)
Jean-Pierre Hubaux
Jean-Pierre Hubaux is a full professor at EPFL and head of the Laboratory for Data Security. Through his research, he contributes to laying the foundations and developing the tools for protecting privacy in today’s hyper-connected world. He has pioneered the areas of privacy and security in mobile/wireless networks and in personalized health. He is the academic director of the Center for Digital Trust (C4DT). He leads the  Data Protection in Personalized Health (DPPH) project funded by the ETH Council and is a co-chair of the Data Security Work Stream of the Global Alliance for Genomics and Health (GA4GH). From 2008 to 2019 he was one of the seven commissioners of the Swiss FCC. He is a Fellow of both IEEE (2008) and ACM (2010). Recent awards: two of his papers obtained distinctions at the IEEE Symposium on Security and Privacy in 2015 and 2018. He is among the most cited researchers in privacy protection and in information security.  Spoken languages: French, English, German, Italian
Denis Gillet
Denis Gillet received the Diploma in Electrical Engineering from the Swiss Federal Institute of Technology in Lausanne (EPFL) in 1988, and the Ph.D. degree in Information Systems also from the EPFL in 1995. During 1992 he was appointed as Research Fellow at the Information Systems Laboratory of Stanford University in the United States. He is currently Maître d'enseignement et de recherche at the EPFL School of Engineering, where he leads the React research group. His current research interests include Technologies Enhanced Learning (TEL), Human Computer Interaction (HCI), Human Devices Interaction (HDI) and Optimal Coordination of Complex and Distributed Systems. Denis Gillet is affiliated at EPFL with the Center for Intelligent Systems and the Center for Digital Education.
Karl Aberer
Co-Founder of LinkAlong Sarl, 2017.Vice-president EPFL for Information Systems, 2012 –2016.Director of the Swiss National Centre for Mobile Information and Communication Systems NCCR MICS (mics.ch), 2005 -2012.Member of the Swiss Research and Technology Council SWTR, consulting the Swiss Federal government, 2004 - 2011.
Alfred Rufer
Originaire de Diessbach (BE), Alfred Rufer est né en 1951. Il obtient en 1976 le diplôme d'ingénieur électricien de l'EPFL et poursuit son activité dans le même établissement en tant qu'assistant à la chaire d'électronique industrielle. En 1993, il est nommé professeur-assistant au Laboratoire d'électronique industrielle. Au début 1996, il est nommé professeur extraordinaire.  En 1978, il débute son activité dans l'industrie de l'électronique de grande puissance à la société ABB, Asea Brown Boveri à Turgi, où il contribue au développement d'entraînements réglés à fréquence variable. Dès 1985, il exerce la fonction d'assistant technique et de chef de groupe.  De 1988 à 1991, il poursuit le développement de nouveaux systèmes d'électronique de puissance dans différents domaines d'application. A. Rufer est l'auteur et co-auteur de plusieurs demandes de brevet, ainsi que de plusieurs publications. De 1991 à 1992, il est chef d'un département de développement d'appareils d'électronique de réglage et de commande pour l'électronique de puissance. Durant son activité professionnelle dans l'industrie, il participe activement à l'enseignement technique dans plusieurs écoles d'ingénieurs.
Boi Faltings
Professor Faltings joined EPFL in 1987 as professor of Artificial Intelligence. He holds a PhD degree from the University of Illinois at Urbana-Champaign, and a diploma from the ETHZ. His research has spanned different areas of intelligent systems linked to model-based reasoning. In particular, he has contributed to qualitative spatial reasoning, case-based reasoning (especially for design problems), constraint satisfaction for design and logistics problems, multi-agent systems, and intelligent user interfaces. His current work is oriented towards multi-agent systems and social computing, using concepts of game theory, constraint optimization and machine learning. In 1999, Professor Faltings co-founded Iconomic Systems, a company that developed a new agent-based paradigm for travel e-commerce. He has since co-founded 5 other startup companies and advised several others. Prof. Faltings has published more than 150 refereed papers on his work, and participates regularly in program committees of all major conferences in the field. He has served as associate editor of of the major journals, including the Journal of Artificial Intelligence Research (JAIR) and the Artificial Intelligence Journal. From 1996 to 1998, he served as head of the computer science department.
Juan Carlos Farah
Juan Carlos Farah received his Bachelor of Arts in Economics from Harvard University, completed studies in Computer Science at Stanford University, and a Master of Science in Computing at Imperial College London. Since 2017, Juan Carlos has worked as a researcher and software engineer at the Interaction Systems Group (REACT) of the École Polytechnique Fédérale de Lausanne (EPFL). He is the technical lead for the Graasp Ecosystem, a suite of native and web applications that support digital education activities and are the core technology behind the Horizon 2020 Next-Lab and GO-GA European Innovation Action Projects. As a part of these projects, Juan Carlos conducted research on privacy-preserving systems for technology-enhanced learning. He is currently pursuing a PhD in Robotics and Intelligent Systems at EPFL, focusing on human-computer interaction and the perception of anthropomorphic traits in intelligent conversational agents. As part of his teaching duties, he gives a yearly lecture on trust, privacy and reputation frameworks for social media platforms.
Mathias Josef Payer
Mathias Payer is a security researcher and professor at the EPFL school of computer and communication sciences (IC), leading the HexHive group. His research focuses on protecting applications in the presence of vulnerabilities, with a focus on memory corruption and type violations. He is interested in software security, system security, binary exploitation, effective mitigations, fault isolation/privilege separation, strong sanitization, and software testing (fuzzing) using a combination of binary analysis and compiler-based techniques. More details are available in his CV.

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.