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

CURRICULUM VITAE Marek J. Druzdzel Page 4 of 33
Jan’90–May’90 Carnegie Mellon University
Pittsburgh, Pennsylvania
Department of Engineering and Public Policy
Project manager for the interdisciplinary Technology and Policy Project Course offered to graduate
students at the School of Urban and Public Affairs (currently H. John Heinz III School of Public
Policy and Management) and undergraduate engineering students.
Sept’83–Feb’87 Technische Universiteit Delft
Delft, The Netherlands
(Delft University of Technology)
Department of Mathematics and Computer Science
Teaching assistant for the courses Introduction to Computer Science offered to freshmen engineering
students and Data Structures and Algorithms II offered to senior computer science students.
Guest lectures at the University of Pittsburgh: Introduction to Information Science, School of Information
Sciences, Introduction to Artificial Intelligence, Intelligent Systems Studies Program and Computer Science
Department, Introduction to Medical Informatics, Intelligent Systems Studies Program, Probabilistic Methods
for Computer-based Decision Support, Medical Informatics Training Program.
Guest lectures at Carnegie Mellon University: Graphs in Statistics, Department of Statistics, Decision Analysis,
Quantitative Methods in Policy Analysis, Department of Engineering and Public Policy.
Guest lectures at other universities: Data Mining, Faculty of Computer Science, Bia̷lystok University of Technology.
DOCTORATES SUPERVISED:
• Anna ̷Lupińska-Dubicka, Probabilistic Graphical Models of Time-Dependent Domains with Memory: Application
to Monitoring Womans Monthly Cycle, Faculty of Computer Science, Bia̷lystok University of Technology,
11 September 2014
• Martijn de Jongh, Bayesian Networks and the MapReduce Framework: Learning and Inference, School of
Information Sciences, University of Pittsburgh, 22 April 2014
• Parot Ratnapinda, Theoretical and Practical Aspects of Decision Support Systems Based on the Principles of
Query-Based Diagnostics, School of Information Sciences, University of Pittsburgh, 18 April 2014
• Tomasz D. ̷Loboda (co-advised with Erik D. Reichle), Study and Detection of Mindless Reading, School of
Information Sciences, University of Pittsburgh, 17 March 2014
• Peter Sutovsky (co-advised with Gregory C. Cooper), Explaining Inference on a Population of Independent
Agents Using Bayesian Networks, School of Information Sciences, University of Pittsburgh, 29 July 2013
• Adam Zagórecki, Local Probability Distributions in Bayesian Networks: Knowledge, Elicitation, and Inference
School of Information Sciences, University of Pittsburgh, 25 February 2010
• Mark Voortman, Causal Discovery of Dynamic Systems, School of Information Sciences, University of Pittsburgh,
3 December 2009
• Changhe Yuan, Importance Sampling for Bayesian Networks: Principles, Algorithms, and Performance, Intelligent
Systems Program, University of Pittsburgh, 25 May 2006
• Haiqin Wang, Building Bayesian Networks: Elicitation, Evaluation, and Learning, Intelligent Systems Program,
University of Pittsburgh, 6 December 2004
• Tsai-Ching Lu, Construction and Utilization of Mechanism-based Causal Models, Intelligent Systems Program,
University of Pittsburgh, 1 December 2003
• Denver H. Dash, Caveats for Causal Reasoning with Equilibrium Models, Intelligent Systems Program, University
of Pittsburgh, 18 March 2003
• Jian Cheng, Efficient Stochastic Sampling Algorithms for Bayesian Networks, School of Information Sciences,
University of Pittsburgh, 12 December 2000
August 2015