Experience
None
Education
Ph.D. in Computer Science, Carnegie Mellon University, December 2008. M. Sc. in Computer Science, Carnegie Mellon University, August 2008. Diplom in Mathematik, (M.Sc. equiv. in Mathematics) Technische Universitat M¨ unchen, Sept. 2004. ¨ Diplom in Informatik, (M.Sc. equiv. in Computer Science) Technische Universitat M¨ unchen, Apr. ’04.
Bio
Andreas Krause is an Assistant Professor of Computer Science (tenure-track) at ETH Zurich, where he leads the Learning & Adaptive Systems Group (since 2011). Before that he was Assistant Professor of Computer Science at Caltech (2009-2012). He received his Ph.D. and M.Sc. in Computer Science from Carnegie Mellon University (2008) and his Diplom in Computer Science and Mathematics from the Technical University of Munich, Germany (2004). He is a Microsoft Research Faculty Fellow and a Kavli Frontiers Fellow of the US National Academy of Sciences. He received an ERC Starting Investigator grant, the Deutscher Mustererkennungspreis, 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 in learning and adaptive systems that actively acquire information, reason and make decisions in large, distributed and uncertain domains, such as sensor networks and the Web received awards at several premier conferences (AAAI, KDD, IPSN, ICML, UAI) and journals (JAIR, JWRPM).