Assistant Professor

Department of Industrial and Systems Engineering

University of Missouri


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

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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 and Technology

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. 


OPEN POSITIONS [Deadline: January 15, 2024]

We are currently looking for two highly self-motivated Ph.D. students who are interested in research focused on (1) Large-Scale Optimization or (2) Artificial Intelligence/Machine Learning/Deep Learning to join our SSRS Lab in the Department of Industrial and Systems Engineering at the University of Missouri.

These positions are available as early as the Fall of 2024. The positions will be funded by a combination of research and teaching assistantships, which include full tuition support, stipend, and benefits. The 12-month assistantship is available with a possibility of renewal based on satisfactory performance.

Successful candidates should meet the following qualifications:

If you are interested, please email a cover letter, a resume or CV, unofficial transcripts, GRE scores (if any), TOEFL/IELTS scores (if applicable), and writing samples (e.g., journal/conference papers) to Dr. Hyeong Suk Na (hyeongsuk.na@missouri.edu). Candidates must also apply to the University of Missouri to be considered prospective members of the SSRS Lab. Review of applicants will begin immediately and continue until the positions are filled.

Graduate Education at Mizzou

Graduate Admissions | Ph.D. in Industrial Engineering | M.S. in Industrial Engineering

Those from traditionally underrepresented groups in STEM are particularly encouraged to get in touch with Dr. Hyeong Suk Na. The University of Missouri is an affirmative action/equal opportunity employer and does not discriminate on the bases of age, color, disability, gender, gender identity, genetic information, marital status, national or ethnic origin, race, religion, sexual orientation, or veteran status.