Andreas Krause named ACM Fellow
Professor Andreas Krause from the Department of Computer Science has been named ACM Fellow for his contributions to learning-based decision making under uncertainty. Big congratulations!
The Association for Computing Machinery (ACM) has named 68 Fellows for transformative contributions to computing science and technology. All the 2023 inductees are longstanding ACM members who were selected by their peers for groundbreaking innovations that have improved how we live, work, and play. Professor Andreas Krause, who leads the Learning & Adaptive Systems Group at ETH Zurich, is among those Fellows. The distinction recognises Krause's extensive research contributions to learning-based decision making under uncertainty.
The contributions of the 2023 Fellows run the gamut of the computing field―including algorithm design, computer graphics, cybersecurity, energy-efficient computing, mobile computing, software analytics, and web search, to name a few. ACM's most prestigious member grade recognises the top 1% of ACM members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community.
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 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 Rössler 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.