Martin OderskyEnseignement et PhD Doctorant·es actuel·les Matthieu Bovel, Yaoyu Zhao, Anna Herlihy, Nguyên Cao Pham, Yichen Xu A dirigé les thèses EPFL de Julie Vachon, Matthias Zenger, Michel Schinz, Philippe Altherr, Vincent Cremet, Burak Emir, Stéphane Micheloud, Iulian Dragos, Philipp Haller, Gilles Dubochet, Tiark Rompf, Ingo Maier, Lukas Rytz, Aleksandar Prokopec, Heather Miller, Vlad Ureche, Nada Amin, Manohar Jonnalagedda, Hubert Plociniczak, Vojin Jovanovic, Sandro Stucki, Eugene Burmako, Dmytro Petrashko, Séb
Martin JaggiMartin Jaggi is a Tenure Track Assistant Professor at EPFL, heading the Machine Learning and Optimization Laboratory. Before that, he was a post-doctoral researcher at ETH Zurich, at the Simons Institute in Berkeley, and at École Polytechnique in Paris. He has earned his PhD in Machine Learning and Optimization from ETH Zurich in 2011, and a MSc in Mathematics also from ETH Zurich.
Caglar GulcehreEnseignement et PhD Doctorant·es actuel·les Tim Ruben Davidson, Skander Moalla, Anja Surina, Xiuying Wei, Liangze Jiang, Mikhail Terekhov, Amin Mansouri, Justin Samuel Deschenaux, Yitao Xu Cours Training Large Language Models EE-628
Patrick ThiranPatrick Thiran is a full professor in network and systems theory at the School of Computer and Communication Sciences at EPFL. He holds an electrical engineering degree from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, an M.Sc. degree in electrical engineering from the University of California at Berkeley, USA, and he received the PhD degree from EPFL, in 1996. He became an adjunct professor in 1998, an assistant professor in 2002, an associate professor in 2006 and a full professor in 2011. He was with Sprint Advanced Technology Labs in Burlingame, California, in 2000-01.
His research interests are in communication and social networks, performance analysis and stochastic models. He is currently active in the analysis and design of wireless and PLC networks (scaling laws, medium access control), in network monitoring (network tomography, multi-layer networks), and data-driven network science. He also contributed to network calculus and to the theory of locally coupled neural networks and self-organizing maps.
He served as an associate editor for the IEEE Transactions on Circuits and Systems in 1997-99 and for the IEEE/ACM Transactions on Networking in 2006-10. He is currently on the editorial board of the IEEE Journal on Selected Areas in Communication. He is/was on the program committee of different conferences in networking, including ACM Sigcomm, Sigmetrics, IMC, CoNext and IEEE Infocom. He was TPC chair of AMC IMC 2011 and CoNext 2012. He is a Fellow of the Belgian American Educational Foundation and of the IEEE. He received the 1996 EPFL Doctoral Prize and the 2008 Crédit Suisse Teaching Award.
Pierre DillenbourgAncien instituteur primaire, Pierre Dillenbourg obtient un master en Sciences de lEducation (Université de Mons, Belgique). Dans son projet de master en 1986, il est l'un des premiers au monde à appliquer les méthodes de 'machine learning' à l'éducation, afin de développer un 'self-improving teaching system'. Ceci lui permettra de débuter une thèse de doctorat en informatique à l'Université de Lancaster (UK) dans le domaine des applications éducatives de lintelligence artificielle. Il a été Maître dEnseignement et de Recherche à lUniversité de Genève. Il rejoint l'EPFL en 2012, où Il fut le directeur du Centre de Recherche sur l'Apprentissage, la formation et ses technologies(CRAFT), puis académique du Centre pour l'Education à l'Ere Digitale (CEDE) qui met en oeuvre la stratégie MOOC de l'EPFL (plus de 2 millions d'inscriptions). Il est actuellement professeur ordinaire en technologies de formation aux sein de la faculté Informatique et Communications et dirige laboratoire d'ergonomie éducative (CHILI). Depuis 2006, il a aussi été le directeur de DUAL-T, la 'leading house' dédiée aux technologies pour les systèmes de formation professionnelle duale. Il a fondé plusieurs start-ups dans l'éducation et rejoint plusieurs conseils d'administration. En 2017, Il a créé avec des collègues le 'Swiss EdTech Collider', un incubateur qui rassemble 80 start-ups dans le domaine des technologies éducatives. En 2018, ils ont lancé LEARN, le centre EPFL pour les sciences de l'apprentissage, lequel regroupe les initiatives locales en innovation éducative. Pierre est un 'inaugural fellow of the International Society of Learning Sciences'. Il est actuellement le Vice-Président Associé pour l'Education à l'EPFL.
Frédéric MilaEnseignement et PhD Doctorant·es actuel·les Afonso Dos Santos Rufino, Mohamed Zakaria Jouini, Tianyue Huang A dirigé les thèses EPFL de Thomas Gloor, François Vernay, Cédric Weber, Julien Dorier, Julien Sudan, Tamás András Tóth, Tommaso Coletta, Frédéric Alexis Michaud, Jérôme Dufour, Natalia Chepiga, Laurent Pagnier, Francisco Hyunkyu Kim, Melvyn Sandy Tyloo, Samuel Gozel, Jeanne Colbois, Ivo Aguiar Maceira, Mithilesh Nayak, Samuel Louis Nyckees, Keita Omiya A co-dirigé les thèses EPFL de Alex Kruchkov,
Denis GilletDenis 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.
Anna Maria MadduxAnna M. Maddux holds a Bachelor's of Science in Mathematics and in Economics, both from the Albert-Ludwigs-University of Freiburg, as well as a Master's of Science in Statistics from ETH Zürich. In her master's thesis at the automatic control laboratory (Ifa) at ETH she developed a data-driven technique to learn the underlying utilities driving agents' behaviour in multi-agent games. Her research interests lie in the fields of game theory, optimization with a particular focus on learning in multi-agent systems.
Mohamed BouriDr. Mohamed Bouri is a group leader of Rehabilitation and Assistive Robotics in LSRO and lecturer of Robotics and Industrial Robotics. He graduated in Electrical Engineering in 1992 and obtained his PhD degree in 1997 in Industrial Automation at INSA LYON, France. Since 1997, he is at EPFL and is mainly active in the field of robot control, automation and robot design for medical and industrial applications. He is the head of Rehabilitation and Assistive Robotics group since 2005 and has strong references with the development of robotic devices for lower limb rehabilitation : The MotionMaker and WalkTrainer commercialzed by the company Swortec. His ongoing research currently focuses on the development of exoskeletons and the associated control strategies. His main current projects are TWIICE, a lower limb exoskeleton for people with paraplegia, AUTONOMYO, a walk assistance exoskeleton for people with muscle weakness, and the HiBSO, a hip orthosis for elderly.
Demetri PsaltisEnseignement et PhD Doctorant·es actuel·les Victoria Fay, Colin Nikhil Christian A dirigé les thèses EPFL de Wuzhou Song, Alexandre Goy, Julien Cuennet, Ioannis Papadopoulos, Xin Yang, Grégoire Pierre Jean Laporte, Thomas Jean Victor Marie Lanvin, Seyyed Mohammad Hosseini Hashemi, Nicolino Stasio, Morteza Hasani Shoreh, Marilisa Romito, Pooria Hadikhani, Eirini Kakkava, Joowon Lim, Giulia Panusa, Ahmed Bassam Sayed Ayoub Mohamed Ayoub, Amirhossein Saba, Niyazi Ulas Dinç A co-dirigé les thèses EPFL de Ugur
