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Description
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).
Lectures:
tutorial![]() as author at British Machine Vision Conference (BMVC), Bristol 2013, 3718 views |
panel![]() as author at International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009, together with: Christian Plagemann, Dieter Fox, Raia Hadsell, Pieter Abbeel, Nicholas Roy, Jo-Anne Ting, Rajesh P. N. Rao, Jan Peters, 4646 views |
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lecture![]() as author at International Workshop on Regression in Robotics - Approaches and Applications, Seattle 2009, 3764 views |
invited talk![]() as author at 30th AAAI Conference on Artificial Intelligence, Phoenix 2016, 932 views |
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