معرفی
Kangwon Seo is an Associate Teaching Professor in the Department of Industrial and Systems Engineering at the University of Missouri, within the College of Engineering. He joined Mizzou in 2017 after completing his PhD and MS at Arizona State University and undergraduate studies at Hongik University. He teaches core courses such as probability and applied statistics for engineers and design of experiments.
Education:
- PhD, Arizona State University
- MS, Arizona State University
- BS, Hongik University
His research centers on reliability and quality engineering, with a focus on optimal experimental design, functional data analysis, and system health monitoring. He investigates failure prediction in complex systems, particularly in nuclear reactor coolant pumps and lithium-ion batteries. His work integrates advanced statistical methods to model real-world variability and improve predictive accuracy.
The recent research articles reflect a strong trend in applying functional data analysis and wavelet-based signal processing to engineering reliability problems. These studies bridge theoretical statistics with practical industrial applications, particularly in energy systems and safety-critical infrastructure.
Scientific Awards:
- No awards explicitly mentioned.
Dr. Seo actively advises graduate students and leads applied research projects, including those funded through Mizzou Engineering initiatives. His team has published in peer-reviewed journals and presented at major conferences such as the IEEE Reliability and Maintainability Symposium. He emphasizes real-world impact, particularly in sustainability, energy systems, and public safety.
He is part of the Industrial and Systems Engineering research group at Mizzou, collaborating on interdisciplinary projects related to manufacturing systems, health monitoring, and data-driven decision making. The team works on developing scalable methods for early fault detection and lifecycle prediction in engineering systems.
