"Predicting the future has always been a major goal for many researchers. Designing policies which incorporate adaptive learning and expert systems is one step in this direction."

Assistant Professor
Ph.D., Case Western Reserve University

Research Interests

Stochastic processes and Bayesian statistics

Reliability analysis and design of optimal maintenance strategies for randomly failing systems.

Simulation-optimization interface for decision making in stochastic environments.

Recent Publications

Popova E. and Hsien-Chung Wu, "Renewal reward processes with fuzzy rewards and their applications to T-age replacement policies", European Journal of Operational Research, 1998.

Popova E. and J. G. Wilson, "Group replacement policies for parallel systems whose components have phase distributed failure times", Annals of Operations Research, 1998.

Research Funding

Texas Advanced Technology Program

Department of Energy

Southwestern Bell Technology