Kangwon Seo - Mizzou Engineering

Kangwon Seo portrait

Kangwon Seo

Assistant Professor, Industrial and Systems Engineering and Statistics

E3437M Lafferre Hall

Phone: 573-884-9465

Email: seoka@missouri.edu

Industrial and Systems Engineering


Kangwon Seo is an assistant professor in industrial and systems engineering and statistics (joint) at the University of Missouri. He obtained his PhD degree at Arizona State University and joined MU in 2017. His research areas include system health monitoring and failure prediction, data imbalance problems in machine learning and optimal experimental designs of reliability tests. His research articles have been published in a variety of relevant journals, including Big Data Research, Journal of Quality Technology and IISE Transactions. He received RAMS 2016 Tom Fagan Best Student Paper Award, and his research team was selected as a finalist in the 2019 IISE QCRE Data Challenge competition. He is teaching design and analysis of engineering experiments, applied statistical models, probability and statistics, and multivariate data analysis.


PhD from Arizona State University
MS from Arizona State University
BS from Hongik University

Technical Focus

Optimal experimental designs of reliability tests

Quality and reliability engineering

System health monitoring and failure prediction