Henry Kautz Henry Kautz is a Professor in the Department of Computer Science and Engineering at the University of Washington. He joined the faculty in the summer of the year 2000 after a career at Bell Labs and AT&T Laboratories, where he was Head of the AI Principles Research Department. His academic degrees include an A.B. in mathematics from Cornell University, an M.A. in Creative Writing from the Johns Hopkins University, an M.Sc. in Computer Science from the University of Toronto, and a Ph.D. in computer science from the University of Rochester. He is a recipient of the Computers and Thought Award from the International Joint Conference on Artificial Intelligence and a Fellow of the American Association for Artificial Intelligence. In 1998 he was elected to the Executive Council of AAAI, and in 2000 was Program Chair for the AAAI National Conference. He is the author of the infamous AI limericks .
kautz@cs.washington.edu 
http://www.cs.washington.edu/homes/kautz
Voice: (206) 543-1896
Fax: (530) 430-3432
Personal email: henrykautz@yahoo.com
Personal web page: http://henrykautz.org  
Office Hours: by appointment during
   July and August
Office: Room 666, Paul G. Allen Center
Dept. of Computer Science & Engineering
University of Washington, Box 352350
Paul G. Allen Center, Room CSE101
185 Stevens Way
Seattle, WA 98195-2350

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Much of my research is concerned with fundamental questions of efficiency and scalability of knowledge representation and reasoning systems.  An example of this is my work on solving logical representations of planning problems using new randomized algorithms (see the Blackbox project home page, and my papers on Walksat and Randomized Rapid Restart solvers).  In the CORE project we are using machine learning techniques to optimize the performance of solvers on distributions of problem instances.  Other work includes investigating the formal complexity of clause-learning system, and exploring the connections between work in AI on logic and search and work in verification.  Much of my time these days is spent on a major new initiative called Assisted Cognition, which aims to create computer systems to help people suffering from cognitive disorders, such as the effects of Alzheimer's disease.  There are lots of fundamental and applied problems to be solved in this project, ranging over topics such probabilistic reasoning, plan recognition, ubiquitous computing, data fusion, user interfaces, cognitive psychology, etc.  I encourage graduate students to browse the project web pages and come talk with me.

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