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Distinguished Professor Emeritus, School of Business, University of Kansas, Lawrence, KS
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Assessing your cultural and operational fit
Uncertain reasoning, Bayesian networks, Influence diagrams, game theory, predictive analytics Specialties: Information theory and decision making with Dempster-Shafer theory of belief functions
Cornell University
Doctor of Philosophy (Ph.D.), Operations Research
January 1, 1973 – January 1, 1977
Indian Institute of Technology, Bombay
Bachelor of Technology - BTech, Mechanical Engineering
August 1, 1968 – May 1, 1973
The University of Kansas School of Business
Distinguished Professor Emeritus
August 1, 2023 – Present
Lawrence, Kansas, United States · On-site
Université de Technologie de Compiègne (UTC)
Visiting Professor
January 1, 2019 – April 1, 2019
Compiègne, France
Center for Business Analytics Research (CBAR)
Director
May 1, 2012 – August 1, 2023
School of Business, University of Kansas
Universidad de Almería
Visiting Professor
January 1, 2011 – May 1, 2011
Dept. of Statistics and Applied Mathematics, Almeria, Spain
Aalborg University
Visiting Professor
January 1, 2004 – May 1, 2004
Department of Computer Science, Aalborg, Denmark
University of Fribourg
Visiting Professor
January 1, 1996 – May 1, 1996
Department of Informatics
University of Kansas
Ronald G. Harper Distinguished Professor of Artificial Intelligence, School of Business
August 1, 1978 – August 1, 2023
On-site
Mathematics Research Center, Madison, WI
Research Scientist
August 1, 1977 – July 1, 1978
Hybrid Influence Diagrams
January 1, 2010 – Present
Hybrid Influence Diagrams are influence diagrams containing discrete and continuous chance variables, discrete and continuous decision variables. Some of the continuous chance variables may be conditionally deterministic (i.e., a function of its parents).
Prakash P Shenoy
Marquis Who's Who
June 24, 2026 – Present
Completed an online course on Statistical Learning
Trevor Hastie and Rob Tibshirani, Stanford University Dept. of Statistics
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is almost exclusively academic, with a focus on theoretical research and teaching. While this demonstrates intellectual curiosity and a deep understanding of foundational concepts, it may present a cultural mismatch with a fast-paced, results-driven industry environment. The project 'Hybrid Influence Diagrams' is highly theoretical. The breadth of skills is concentrated in academic research rather than diverse industry applications. The target role 'Data Analyst' typically requires practical application of tools and techniques, which is not explicitly demonstrated.
Soft Skills & Operational Fit
The candidate's extensive academic career as a professor and director suggests strong communication, leadership, and research skills. The descriptions of collaborative work with other professors indicate an ability to work in teams and contribute to complex projects. However, the operational fit for a typical industry 'Data Analyst' role is unclear due to the purely academic and theoretical nature of the experience, which may not directly translate to practical, business-oriented data analysis tasks and tools.