Teaching

Teaching Interests

  • Uncertainty in Artificial Intelligence
  • Knowledge-Based Systems, Bayesian Networks, and Valuation-Based Systems
  • Decision Analysis and Influence Diagrams
  • Game Theory

Links to Courses

  • DSCI 936: Center for Business Analytics Research Seminar

Dissertations Chaired

  • Ph.D., Yi Tan, 2020, New Probabilistic Techniques for Classification Problems and an Application
  • Ph.D., Sumanta Singha, 2018, Three Essays on Feature and Model Selection for Classification and Regression Problems
  • Ph.D., Esma Nur Cinicioglu, 2008, On Solving Stochastic PERT Networks and Using RFIDs for Operations Management
  • Ph.D., Mohammad M. Rahman, 2006, Essays Analyzing Blogs and Wikipedia
  • Ph.D., Barry R. Cobb, 2005, Inference and Decision Making in Hybrid Probabilistic Graphical Models
  • Ph.D., Saverio M. Manago, 2005, Knowledge-Based Bayesian Networks for Discriminant Analysis
  • Ph.D., Phan H. Giang, 2003, A Decision Theory for Non-Probabilistic Uncertainty and Its Applications
  • Ph.D., Sucheta S. Nadkarni, 2000, Industry Clockspeed and Evolution of Cognitive Frames (co-advisor with V. K. Narayanan)
  • Ph.D., Diane Lander, 1997, Modeling and Valuing Real Options: An Influence Diagram Approach (co-advisor with George Pinches)
  • Ph.D., Liping Liu, 1995, A Theory of Coarse Utility and Its Application to Portfolio Analysis
  • Ph.D., Ali Jenzarli, 1995, Modeling Dependence in Project Management (co-advisor with Glenn Shafer)
  • Ph.D., Khaled Mellouli, 1987, On the Propagation of Beliefs in Networks Using the Dempster-Shafer Theory of Evidence (co-advisor with Glenn Shafer)
  • M.S., John G. McManus, 1986, A Line Search Method and Other Modifications for Improving the Efficiency of the Nonlinear Simplex Method