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Bruce D'Ambrosio
Dr. D'Ambrosio is best known as the inventor of the Symbolic Probabilistic Inference (SPI) algorithm for solving conditional joint probability densities from any directed acyclic Bayesian network. Dr. D'Ambrosio's past work focused on developing decision-theoretic models of real-time assessment and control. Specific research areas included problem-solving architectures for dynamic environments; dynamic, interleaved, construction and evaluation of context-sensitive decision bases; and task-oriented approaches to probabilistic inference. For the past few years, Dr. D'Ambrosio has turned his attention to relational Bayesian modeling, first in the areas of representation and inference for dynamic situation assessment, and more recently on relational model discovery. Dr. D'Ambrosio has been both program and general chair of past Uncertainty in AI conferences, is a member of AAAI and the ACM, is former book review editor for AI Magazine, is a member of the editorial board of the Journal of AI Research and the International Journal of Approximate Reasoning, and a member of the program committees for the annual conference on Uncertainty in Artificial Intelligence (UAI) and the American Association for Artificial Intelligence annual conference (AAAI), and is a reviewer for the International Joint Conference on Artificial Intelligence (IJCAI). Dr. D'Ambrosio was organizer of the First Summer Institute on Probability in AI, held in summer, 1994.
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School of Electrical Engineering and Computer Science, 1148 Kelley Engineering Center |