Assistant Professor
Department of Industrial & Systems Engineering at the University of Florida
Co-Director: Data Informatics of Systems Improvement and DEsign (DISIDE) Laboratory
mkim3 [at] ufl [dot] edu
Office: Weil Hall 372
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Ph.D., Industrial and Systems Engineering, University of Wisconsin–Madison, 2022
Research areas:
- Statistical modeling and predictive analysis (digital twins) of industrial and engineering systems
- Degradation modeling, diagnosis, and prognosis
- Deep learning for generative design in advanced manufacturing
- 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.