School of Information Sciences

Marek Druzdzel

Associate Professor

2B13 IS Building
Home Page

Institution of highest degree:
PhD, Carnegie Mellon University

Research Interests:

Decision support systems, strategic planning, decision making under uncertainty, decision-theoretic methods in intelligent information systems.

All Publications:

View in D-Scholarship

Recent Publications:

Natasha A. Loghmanpour, Manreet K. Kanwar, Marek J. Druzdzel, Raymond L. Benza, Srinivas Murali and James F. Antaki. A new Bayesian network-based risk strati cation model for prediction of short-term and long-term LVAD mortality. ASAIO Journal, 61(3):313-323, May/June 2015.

Natasha A. Loghmanpour, Marek J. Druzdzel and James F. Antaki. Cardiac Health Risk Strati cation System (CHRiSS): A Bayesian-based decision support system for Left Ventricular Assist Device (LVAD) therapy. PLoS ONE, 9(11):e111264, November 2014.

Ratnapinda, Parot, and Marek J. Druzdzel. "Learning discrete Bayesian network parameters from continuous data streams: What is the best strategy?" Journal of Applied Logic (2015).

Agnieszka Onisko and Marek J. Druzdzel. Impact of precision of Bayesian networks parameters on accuracy of medical diagnostic systems. Artificial Intelligence in Medicine, 57(3):197-206, March 2013.

Adam Zagorecki and Marek J. Druzdzel. Knowledge engineering for Bayesian
networks: How common are noisy-MAX distributions in practice?. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(1):186-195, January 2013.

Linda C. Santelices, Yajuan Wang, Don Severyn, Marek J. Druzdzel, Robert L. Kormos, James F. Antaki. Development of a hybrid decision support model for optimal ventricular assist device weaning. Annals of Thoracic Surgery, 90:713-720, 2010.

A World Leader

The degree programs at the iSchool are among the best in the country, attracting students and scholars from around the world.