HYEONG SUK NA
Assistant Professor
Department of Industrial and Systems Engineering
University of Missouri
HYEONG SUK NA, PH.D.
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.
PROFESSIONAL EXPERIENCE
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)
EDUCATION
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
RESEARCH INTEREST
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.
SELECTED GRANTS
PI, Optimal Deployment of Capacitated Fast Charging Stations for Electric Vehicles on a Directed Highway Network, Mizzou Research Council Grant, 2024 - 2025.
PI, Disaster Assessment from Satellite Imagery using Improved Generative Adversarial Network and UNet, National Aeronautics and Space Administration (NASA) EPSCoR Research Initiation Grant (RIG), 2022 - 2024.
PI, An Integrated Simulation-based Optimization Model for Solving Multi-Objective Dynamic Facility Layout Problems, Black Hills Stock Show Foundation, 2022 - 2023.
PI, Collaborative Research: Leveraging the Resilience and Recovery through the Analysis of Spatial-Temporal Data-Driven Aerial Imagery, National Aeronautics and Space Administration (NASA) EPSCoR Research Grant, 2020 - 2023.
TEACHING INTEREST
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.
RECENT NEWS
11/2023: Dr. Na's paper "Relocation and Social Support during Large-Scale Evacuations" has been accepted by Natural Hazards Review.
10/2023: Dr. Na organized a session "TB75: Emerging Topics for Electric Vehicles" and gave an invited presentation "Stochastic Evacuation Route Planning for Electric Vehicles" at the 2023 INFORMS Annual Meeting.
10/2023: Younggyu's paper "The Production Scheduling Problem Employing Non-Identical Parallel Machines with Due Dates Considering Carbon Emissions and Multiple Types of Energy Sources" has been accepted by Expert Systems with Applications. Congratulations! 🌐
09/2023: Dr. Na has received a research grant from the Mizzou Research Council [Article: Fostering faculty inquiry and creativity].
09/2023: Justin Cypress and Karolina Rapacz joined our research group as undergraduate researchers. Welcome!
08/2023: Dr. Na created the SSRS (Smart, Sustainable, and Resilient Systems) Laboratory in the Department of Industrial and Systems Engineering at the University of Missouri.
08/2023: Dr. Na joined the University of Missouri as a tenure-track assistant professor of Industrial and Systems Engineering [Article: New faculty share why they chose Mizzou].
07/2023: Dr. Na has been selected to receive an NSF Travel Award for the 2023 Natural Hazards Engineering Research Infrastructure (NHERI) Workshop for Early-Career Faculty.
06/2023: Dr. Na has been selected to receive an NSF Travel Award for the 2023 Natural Hazards Engineering Research Infrastructure (NHERI) Summer Institute for Early-Career Faculty.
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:
B.S. or M.S. in Industrial and Systems Engineering, Operations Research, Transportation Engineering, Statistics, Computer Science/Engineering, Mathematics, or related fields,
Experience in writing or presenting academic research papers for submission to peer-reviewed journals/conferences, or an M.S. thesis,
Strong programming skills (Python, CPLEX, GAMS, AMPL, R, MATLAB, etc.),
Prior research experience in Mathematical Optimization or Machine Learning.
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.