Matthias Grossglauser

Matthias Grossglauser is a Professor of Computer and Communication Sciences at EPFL in Lausanne, Switzerland, where he co-directs the Information and Network Dynamics lab. His current research interests center on machine learning, stochastic networks, and discrete choice models, and on their applications in artificial intelligence, reinforcement learning, network science, computational social sciences, and recommender systems. He is also a member of the Federal Communications Commission (ComCom), the independent regulatory authority for the Swiss telecommunications market.  He was the director of EPFL's Doctoral School in Computer and Communication Sciences (2016-2019). From 2007-2010, he was with the Nokia Research Center (NRC) in Helsinki, Finland, leading the Internet Laboratory, a research organization comprising seven teams in security, networking, social media, and user experience, and served on Nokia's CEO Technology Council, a team of technology experts advising the Nokia CEO. Prior to this, he was Assistant Professor at EPFL, and Principal Research Scientist in the Networking and Distributed Systems Laboratory at AT&T Research (Shannon Labs) in New Jersey, USA. He holds a Ph.D. degree in Computer Science from Sorbonne Universités, a M.Sc. degree in Electrical Engineering from Georgia Institute of Technology, and an engineering degree in Communication Systems from EPFL. He is a Fellow of the IEEE and of ELLIS, and the recipient of the 1998 Cor Baayen Award from the European Research Consortium for Informatics and Mathematics (ERCIM) and of the 2006 CoNEXT/SIGCOMM Rising Star Award. Teaching & PhD PhD Students Daichi Kuroda, Oscar Villemaud, Mohammadsadegh Khorasani, Amir Mohammad Aboueimehrizi Past EPFL PhD Students Michal Piorkowski, Natasa Sarafijanovic-Djukic, Pedram Pedarsani, Mohamed Kafsi, Vincent Etter, Ehsan Kazemi, Lyudmila Yartseva, Young Jun Ko, Lucas Maystre, William Trouleau, Daniyar Chumbalov, Aswin Suresh Past EPFL PhD Students as codirector Henri Dubois-Ferrière, Dominique Florian Tschopp, Victor Kristof Courses Internet analytics COM-308 Internet analytics is the collection, modeling, and analysis of user data in large-scale online services, such as social networking, e-commerce, search, and advertisement. This class explores a number of the key functions of such online services that have become ubiquitous over the past decade. Networks out of control COM-512 The goal of this class is to acquire mathematical tools and engineering insight about networks whose structure is random, as well as learning and control techniques applicable to such network data. Principles of online decision-making CS-303 This course provides a mathematical treatment of online decision-making. It covers bandits (multi-armed, contextual, structured), Markov Decision Processes (MDPs), and related topics. Key concepts include exploration-exploitation, UCB, Thompson sampling, and tools to derive regret bounds. Awards Cor Baayen Award ERCIM 1998 CoNEXT/SIGCOMM Rising Star Award 0 IEEE Fellow IEEE 2021