Status-Only Professor, Industrial Engineering
Director, Centre for Maintenance Optimization & Reliability Engineering (C-MORE)

Research: Stochastic models; robust/dynamic decision making; statistical learning; reliability and maintenance.

Laboratory: Centre for Maintenance Optimization & Reliability Engineering (C-MORE)

Research Areas

  1. Operations Research


Mike Kim holds a PhD (2012) from the University of Toronto, and was previously an NSERC Postdoctoral Fellow at the University of California Berkeley (Industrial Engineering and Operations Research) and the National University of Singapore Business School (Decision Sciences) from 2012-2014.

His research focuses on the interplay between statistical learning (i.e. learning from data) and dynamic optimization (i.e. making adaptive decisions), with applications to problems that arise in operations research, business analytics, and maintenance and reliability. His work has appeared in journals such as Operations Research and Management Science.

Mike is the director of the Centre for Maintenance Optimization and Reliability Engineering (C-MORE), which focuses on real-world research in engineering asset management.