Bio

Donghyun Ko is a Ph.D. student in Industrial and Systems Engineering at NC State University, working on risk-aware generative AI for industrial predictive analytics and manufacturing process optimization.

Before joining NC State, Ko served as an Operations Research and Analytics Officer with the Republic of Korea Army Headquarters. There, he used forecasting, integer programming and simulation to improve resource allocation and operational planning. His work also helped redesign training processes and reduce related costs.

Ko earned a Master of Engineering in artificial intelligence from Texas A&M University. In 2026, he won his track in the IISE Doctoral Colloquium 3-Minute Thesis Competition. He was also a finalist in the IISE QCRE Best Track Paper Competition.

Advisor

Jake Peloquin

Concentration

System Analytics and Optimization

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Three Minutes, Two Big Wins

Area(s) of Expertise

Ko develops generative AI models that support decision-making under uncertainty. His research combines mathematical optimization with machine learning, deep learning and Bayesian modeling. Additionally, he applies these methods to remaining useful life prediction and additive manufacturing process optimization.