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Dr. Byon’s research interests include reliability evaluation, fault diagnosis, condition monitoring, predictive modeling, data analytics, operations maintenance decision-making, and stochastic systems. His recent research focuses on uncertainty quantification in stochastic systems using stochastic simulations, reliability analysis, and the improvement of large-scale, interconnected systems with applications in renewable power systems and manufacturing processes. He is a member of professional societies including the Institute of Industrial Engineers (IIE), INFORMS, and the Institute of Electrical and Electronics Engineers (IEEE).
University of Michigan • Ann Arbor, MI
Director of Master’s Programs, leading research and educational initiatives in industrial and operations engineering.
Department of Electrical Engineering and Computer Science