System modeling, analysis, and optimization using computational intelligence (neural networks, evolutionary algorithms and fuzzy logic), stochastic simulation, and techniques from probability and statistics (design of experiments, regression, analysis of variance, principal components analysis etc.).
Areas of interests include: discrete event stochastic simulation, decision support systems, medical informatics, health systems, information system design, and engineering system design.