Prakash P. Shenoy
Ronald G. Harper Distinguished Professor of Artificial Intelligence
About Prakash P. Shenoy
Prakash P. Shenoy is the Ronald G. Harper Distinguished Professor of Artificial Intelligence in the School of Business at the University of Kansas at Lawrence. He received a B.Tech. in Mechanical Engineering from the Indian Institute of Technology at Bombay, India, in 1973, and an M.S. and a Ph.D. in Operations Research and Industrial Engineering from Cornell University in 1975 and 1977, respectively.
His research interests are in the areas of uncertain reasoning and decision analysis. He is the inventor of valuation-based systems, an abstract framework for knowledge representation and inference that includes Bayesian probabilities, Dempster-Shafer belief functions, Spohn's kappa calculus, Zadeh's possibility theory, propositional logic, optimization, solving systems of equstions, database retrieval, and other domains. He is also the co-inventor (with Glenn Shafer) of the so-called "Shenoy-Shafer architecture" for finding marginals of multivariate probability distributions using local computation. He has published many articles on management of uncertainty in expert systems, decision analysis, and the mathematical theory of games. His articles have appeared in journals such as Operations Research, Management Science, Decision Analysis, International Journal of Game Theory, Artificial Intelligence, and International Journal of Approximate Reasoning. He has received research grants from the National Science Foundation, the Peat Marwick Main Foundation, Apple Computer, Inc., Hughes Research Laboratories, Space Dynamics Laboratory at Utah State University, Information Extraction and Transport, Inc., Sparta, Inc., and Raytheon Missile Systems.
His teaching interests are in the areas of uncertain reasoning, decision analysis, and statistics. He has taught undergraduate and graduate courses on uncertain reasoning, decision analysis, probability, statistics, multivariate statistics, linear programming, non-linear programming, game theory, management information systems, and decision support systems. He has served on doctoral dissertation committees of over thirty eight PhD students in Management Science, Marketing, Accounting, Strategic Management, Economics, Electrical Engineering and Computer Science, Geography, Civil Engineering, Nursing, and Philosophy, thirteen as chairperson. He has received the Mentor Award from the Association of Business Doctoral Students four times, an Excellence in Teaching award from the Center for Teaching Excellence, and an Outstanding Mentor Award from the Graduate and Professional Association of the University of Kansas.
He served as the North American editor for the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, as an Associate Editor for International Journal of Approximate Reasoning, Management Science, and Operations Research, and as an ad-hoc referee for over thirty journals and conferences in Artificial Intelligence and Management Science/Operations Research. He served as Program Chair for the Thirteenth Conference on Uncertainty in Artificial Intelligence (UAI-97), and as Conference Chair for the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI-98). He has also served on the program committees of numerous conferences in artificial intelligence.
In Summer 2012, with the help of Dean Neeli Bendapudi, and his colleagues in Decision Sciences, Marketing, and Finance, he formed the Center for Business Analytics Research (CBAR) in the University of Kansas School of Business. He currently serves as the Director of CBAR.
Last updated Wednesday August 19, 2020