The Association for Computing Machinery (ACM) recently elevated Tom Dean to Fellow for his development of dynamic Bayes networks and anytime algorithms.
Tom is currently a staff research scientist at Google, Mountain View, and an Adjunct Professor of Computer Science here at Brown. He is known in AI for his work on the role of prediction in planning, control and decision-making where uncertainty and the limited time available for deliberation complicate the problem, particularly his work on temporal graphical models and their application in solving robotics and decision-support problems. His temporal Bayesian networks, later called dynamic Bayes networks, made it ...