Thomas Dean's general research interests include automated temporal and spatial reasoning, planning, robotics, learning, and probabilistic inference. He is particularly interested in problems in which the notions of uncertainty and risk are complicated by the imposition of a limited time for deliberation and action. The basic tools for his research are derived from probability, statistics, Bayesian decision theory, and the design and analysis of algorithms. The applications involve mobile robots that perform such tasks as search and rescue, as well as disembodied "knowbots" that operate on the World Wide Web.
Tom Dean is Professor of Computer Science and Cognitive and Linguistic Sciences at Brown University. He received his B.A. in mathematics from Virginia Polytechnic Institute & State University in 1982 and his M.Sc. and Ph.D. in computer science from Yale University in 1984 and 1986 respectively. His research interests include automated planning and control, computational biology, machine learning, neural modeling, probabilistic inference, robotics and spatial and temporal reasoning.
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