CURRICULUM VITAE Marek J. Druzdzel Page 1 of 31 ...

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• Samuel Gerssen, Bayesian Networks in Credit Rating, Delft University of Technology, The Netherlands, 12
March 2004
• Hanyang Chen, Interactive Data Exploration for Bayesian Network Learning, School of Information Sciences,
University of Pittsburgh, 5 December 2003
• Changhe Yuan, An Importance Sampling Algorithm Based on Evidence Pre-propagation, Intelligent Systems
Program, University of Pittsburgh, 10 April 2003
• Randy Jagt, Support for Multiple Cause Diagnosis with Bayesian Networks, Delft University of Technology,
The Netherlands, 4 October 2002
• Daniel Garcia-Sanchez, An Anytime Exhaustive Algorithm for Solving Influence Diagrams, School of Information
Sciences, University of Pittsburgh, 28 July 2000
• Hikmet Umar, Decision-Making under Uncertainty in Clinical Dentistry: A Probabilistic Approach to a Dental
Clinical Advisory System, School of Information Sciences, University of Pittsburgh, 27 June 2000
• Haiqin Wang, Graphical Elicitation of Numerical Parameters in a Development Environment for Probabilistic
Models, Intelligent Systems Program, University of Pittsburgh, 6 December 1999
• Tsai-Ching Lu, ImaGeNIe – Interactive Model Authoring in GeNIe, Intelligent Systems Program, University
of Pittsburgh, 10 December 1999
• Carl P.R. Thijssen, SmileX ☺ : An ActiveX Decision-Analytic Reasoning Engine and Its Application to Evaluation
of Credit Applicants, Delft University of Technology, The Netherlands, 25 August 1999
• Yan Lin, Computational Advantages of Relevance Reasoning in Bayesian Belief Networks, Intelligent Systems
Program, University of Pittsburgh, December 1997
• Hans van Leijen, Reversible Causal Mechanisms in Bayesian Belief Networks, Utrecht University, The Netherlands,
November 1997
• Jeroen Bogers, Supporting the Change in Structure in a Decision Support System Based on Structural Equations,
Delft University of Technology, The Netherlands, August 1997
M.Sc. THESIS COMMITTEE MEMBERSHIP:
• Saeed Amizadeh, Latent Variable Model for Learning in Pairwise Markov Networks, Intelligent Systems Program,
University of Pittsburgh, 24 February 2010
• An-Kwok Ian Wong, Bayesian Combinatorial Partitioning For Detecting Interactions Among Genetic Variants,
Intelligent Systems Program, University of Pittsburgh, 23 April 2009
• Collin Lynch, What Do Argument Diagrams Tell Us About Students’ Aptitude or Experience? A Statistical
Analysis in an Ill-Defined Domain, Intelligent Systems Program, University of Pittsburgh, 4 December 2008
• Yanna Shen, Estimating Disease Outbreak Detection When a Detection Algorithm and Traditional Clinician
Surveillance Are Operating in Parallel, Intelligent Systems Program, University of Pittsburgh, 21 March 2006
• Linda Santelices, Clinical Decision Support System for Optimal VAD Weaning, Department of Bioengineering,
University of Pittsburgh, 6 July 2005
• Shyam Visweswaran Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple
Bayes Model, Intelligent Systems Program, University of Pittsburgh, 22 April 2004
August 2015