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
Biography
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.
Education
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
Website