# Richard Korf

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Richard Korf is a Professor Emeritus of computer science at the University of California, Los Angeles. He received his B.S. from M.I.T. in 1977, and his M.S. and Ph.D. from Carnegie-Mellon University in 1980 and 1983, respectively, all in computer science. From 1983 to 1985, he served as Herbert M. Singer Assistant Professor of Computer Science at Columbia University. His research is in the areas of problem-solving, heuristic search, and planning in artificial intelligence. He is the author of "Learning to Solve Problems by Searching for Macro-Operators" (Pitman, 1985). He served on the editorial boards of Artificial Intelligence, and the Journal of Applied Intelligence. Dr. Korf is the recipient of a 1985 IBM Faculty Development Award, a 1986 NSF Presidential Young Investigator Award, the first UCLA Computer Science Department Distinguished Teaching Award in 1989, the first UCLA School of Engineering Student's Choice Award for Excellence in Teaching in 1996, the Lockheed Martin Excellence in Teaching Award in 2005, the Artificial Intelligence Classic Paper Award in 2016, and a career award from the Symposium on Combinatorial Search in 2018. He is a Fellow of the American Association for Artificial Intelligence.