Andreas Krause named IEEE Fellow
Professor Andreas Krause from the Department of Computer Science has been named IEEE Fellow for his contributions to active sensing, Bayesian optimization and learning-based control. Big congratulations!
The IEEE Fellow Committee announced the newly elevated IEEE Fellows of 2025 – among them is Professor Andreas Krause, who leads the Learning & Adaptive Systems Group at ETH Zurich and serves as Chair of the ETH AI Center. Andreas Krause is recognised for his extensive research and contributions in the fields of active sensing, Bayesian optimization, and learning-based control.
The distinction of IEEE Fellow garners great respect in the technical community and is considered an important career achievement.
The IEEE is the world’s leading professional association for advancing technology for humanity. Through its 460,000-plus members in 190 countries, the association is a leading authority in a wide variety of areas ranging from aerospace systems, computers and telecommunications to biomedical engineering, electric power and consumer electronics. Dedicated to the advancement of technology, the IEEE publishes 30 percent of the world’s literature in the electrical and electronics engineering and computer science fields and has developed more than 1100 active industry standards.
Andreas Krause is a Professor of Computer Science at ETH Zurich, where he leads the Learning & Adaptive Systems Group. He also serves as Academic Co-Director of the Swiss Data Science Center and Chair of the ETH AI Center and co-founded the ETH spin-off LatticeFlow. Before that, he was an Assistant Professor of Computer Science at Caltech. He received his Ph.D. in Computer Science from Carnegie Mellon University (2008) and his diploma in Computer Science and Mathematics from the Technical University of Munich, Germany (2004). He is an ACM Fellow, a Max Planck Fellow at the Max Planck Institute for Intelligent Systems, an ELLIS Fellow, a Microsoft Research Faculty Fellow and a Kavli Frontiers Fellow of the US National Academy of Sciences. He received the R?ssler Prize, ERC Starting Investigator and ERC Consolidator grants, the German Pattern Recognition Award, an NSF CAREER award, the Okawa Foundation Research Grant recognizing top young researchers in telecommunications as well as the ETH Golden Owl teaching award. His research on machine learning and adaptive systems has received awards at several premier conferences and journals, including the ACM SIGKDD Test of Time Award 2019 and the ICML Test of Time Award 2020. Andreas Krause served as Program Co-Chair for ICML 2018 and currently serves as General Chair for ICML 2023 and as Action Editor for the Journal of Machine Learning Research.