Kangwon Seo

Kangwon Seo

Kangwon Seo, Assistant Professor

Industrial and Manufacturing Systems Engineering; Statistics

Seo Kangwon

Biography

Kangwon Seo is an assistant professor in the departments of Industrial and Manufacturing Systems Engineering and Statistics (joint) at the University of Missouri (MU). He joined MU in 2017 after he obtained his PhD at Arizona State University. His research mainly focuses on industrial quality & reliability data modeling and analysis, failure detection and prediction, optimal experimental designs, and prognostics and health management. The research methodologies include statistical-model based approaches by using generalized linear mixed models, Bayesian analysis, simulations and optimization, dimension reduction, and other statistical learning / machine learning techniques. He is teaching the design and analysis of engineering experiments, probability and statistics, and multivariate data analysis.

Education

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

Technical Focus

Applied statistics
Experimental designs
Industrial data analysis
Quality and reliability engineering
Predictive modeling
System health monitoring/prognostics

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