Assistant Professor

Department of Industrial and Systems Engineering

University of Missouri


("Hyeong Suk" is my first name)

Assistant Professor of Industrial and Systems Engineering

Director of the Smart, Sustainable, and Resilient Systems (SSRS) Laboratory

University of Missouri, Columbia, MO 65211

Office: E3437B Thomas & Nell Lafferre Hall | Phone: (573) 882-9185

Mizzou  |  Email  |  LinkdeIn  |  Google Scholar  |  ORCiD 

I am always looking for opportunities for research collaborations with both academic and industry partners. Please feel free to reach out to me if you have ideas or problems to discuss with my research group.


2023 - Present Assistant Professor, Department of Industrial and Systems Engineering, University of Missouri

2019 - 2023 Ervin Pietz Assistant Professor, Department of Industrial Engineering, South Dakota School of Mines

2015 - 2019 Instructor / Graduate Teaching Assistant, Industrial and Manufacturing Engineering, Pennsylvania State University

2014 - 2019 Graduate Research Assistant, Laboratory for Intelligent Systems and Analytics (Director: Soundar Kumara, Ph.D.), Pennsylvania State University

2017 Operations Research Intern, Department of Operations Research, Norfolk Southern Corporation

2012 - 2014 Graduate Research Assistant, Texas A&M University Health Science Center, Texas A&M University

2008 - 2010 Operations Research Analyst, Department of Air Transportation and Logistics, The Korea Transport Institute (KOTI)


Ph.D. in Industrial Engineering and Operations Research, Pennsylvania State University, 2019

M.S. in Industrial Engineering, Texas A&M University, 2014

B.S., M.Eng. in Industrial and Systems Engineering, Inha University, 2008


My research interests include large-scale optimization and decision analysis, stochastic networks and simulation modeling, and artificial intelligence and machine learning, with applications to smart and sustainable systems. I am particularly interested in improving the resilience of large-scale transportation and supply chain or logistics systems, developing emergency management planning under uncertainty, and designing sustainable systems that matter to society.



I have a strong record of teaching various courses in Industrial Engineering and Operations Research such as Deterministic/Stochastic Models in Operations Research, Convex Optimization, Data Analytics for Engineering and Technology, Simulation Modeling for Decision Support, Probability Theory and Statistics, Forecasting in Business and Technology, Introduction to Engineering Analytics, Regression Analysis and Design of Experiments, Manufacturing System Design and Analysis, Production and Operations Management, Statistical Quality Control, and Six Sigma Methodology, to name a few.