Research areas: Decision-oriented data analytics; Degradation modeling, diagnosis, and prognosis; Statistical modeling and predictive analysis of industrial and engineering systems; Quality engineering; Engineering-informed machine learning.

Teaching expertise: Statistics, data analytics, and production and manufacturing.

Minhee Kim is an assistant professor in the Department of Industrial and Systems Engineering at the University of Florida. Her research interests lie in developing engineering-informed data analytics methodologies for monitoring, modeling, prediction, and decision-making for engineering or industrial systems. Her research is highly interdisciplinary and has been applied to a wide variety of real-world engineering problems including degradation of manufacturing systems, operation of nuclear power plants, swelling of nuclear materials, and dynamics of atomistic systems. For more information, please visit https://sites.google.com/view/mh-kim.