
Matthias Grossglauser
استاد · Machine Learning
Swiss Federal Institute of Technology in Lausanneمعرفی
Matthias Grossglauser is a Full Professor at the School of Computer and Communication Sciences at École Polytechnique Fédérale de Lausanne (EPFL), where he co-directs the Information and Network Dynamics lab. He serves on the Federal Communications Commission (ComCom), Switzerland's telecommunications regulatory authority, and previously directed EPFL's Doctoral School in Computer and Communication Sciences (2016-2019). His career includes positions at Nokia Research Center (Internet Laboratory lead), AT&T Research, and EPFL (Assistant Professor).
Education
- Ph.D. in Computer Science from Sorbonne Universités
- M.Sc. in Electrical Engineering from Georgia Institute of Technology
- Engineering degree in Communication Systems from EPFL
Research Focus
Grossglauser's research integrates machine learning, stochastic networks, and discrete choice models to address challenges in artificial intelligence, network science, computational social sciences, and recommender systems. His work emphasizes both theoretical foundations and practical applications, including political forecasting, climate communication, and network dynamics.
Publication Trends
Recent articles demonstrate strong focus on causal inference, optimal learning algorithms, and social network analysis. Dominant themes include reinforcement learning optimization, graph-based modeling, and NLP applications in political science. Methodological innovations in matrix factorization, Bayesian modeling, and stochastic processes recur throughout.
Awards & Honors
- Fellow of IEEE and ELLIS
- Cor Baayen Award (1998)
- CoNEXT/SIGCOMM Rising Star Award (2006)
- Best Paper Awards: ACM COSN (2014), IEEE INFOCOM (2001)
- Nokia Mobile Data Challenge Winner (2012)
Academic Leadership
Has advised 16+ PhD students to completion and currently supervises 4 doctoral candidates. Secured research funding for projects including dynamic recommender systems, network alignment algorithms, and computational social science tools (e.g., Predikon.ch vote prediction platform). Leads the Information and Network Dynamics lab, focusing on AI-driven network analysis.
Matthias Grossglauser در جاهای دیگر
جستجوهای مرتبط
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