Andreas Krause

Prof. Dr. Andreas Krause is a Full Professor in the Department of Computer Science at ETH Zurich. His research focuses on machine learning, artificial intelligence, reinforcement learning, and probabilistic inference. He is affiliated with ETH Zurich and maintains a profile page at https://www.inf.ethz.ch/people/person-detail.krause.html.

Andreas Krause is a Professor of Computer Science at ETH Zurich, specializing in Machine Learning, Artificial Intelligence, Computational Sustainability, Submodularity, and Bayesian Optimization. His research focuses on developing efficient algorithms for optimization and learning in complex systems. Key areas include Gaussian process optimization, sensor placement, and network analysis. He has contributed to adaptive submodularity, safe reinforcement learning, and information-theoretic regret bounds. His work addresses challenges in computational sustainability, such as secure water distribution networks and outbreak detection. Krause's research bridges theoretical foundations with practical applications in machine learning and systems engineering.