("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: E3437L Thomas & Nell Lafferre Hall | Phone: (573) 882-9185
Mizzou | Email | LinkdeIn | Google Scholar | ORCiD
02/2026: Our paper "An integrated framework for solving the green supplier selection and order allocation problem in steam procurement" has been accepted by Expert Systems with Applications. 🌐
02/2026: Our paper "A parcel consolidation policy for vehicle routing plans in last-mile delivery: A deep Q-learning approach" has been accepted by European Journal of Industrial Engineering. 🌐
01/2026: Dr. Na has been appointed as a core faculty member of the MU Institute for Data Science and Informatics (MUIDSI), which is an interdisciplinary research and graduate education program offering a PhD in Informatics and an MS in Data Science & Analytics.
12/2025: Dr. Na has received funding from Amazon Web Services (AWS) for a research grant focusing on Decision-Support Models for Resilient Food Supply Chains under Uncertain Disruptions.
11/2025: Riley Powell has joined our research group as an undergraduate researcher. Welcome!
10/2025: Michael presented his research, "Optimal hurricane evacuation routing with private and public vehicles: A joint chance-constrained stochastic programming model," at the 2025 INFORMS Annual Meeting in Atlanta, GA. Great job, Michael! 👍
10/2025: Shivam presented his research projects, (1) "Keypoint-aware human body part segmentation via a dual-discriminator generative adversarial network" and (2) "Post-disaster damage assessment from high-resolution satellite imagery using D-LinkNet hierarchical transformer with radon-transformed fixed positional encoding," at the 2025 INFORMS Annual Meeting in Atlanta, GA. Great job, Shivam! 👍
09/2025: Dr. Na has received funding from the Jungseok Logistics Foundation (JLF) for a research grant focusing on Integrated Deep Reinforcement Learning and Large-Scale Optimization for Enhancing Last-Mile Logistics with Future Mobility Technologies.
08/2025: Our paper "A strategic plan to provide management services for urban green spaces during heat waves using a collaborative truck-and-robot system" has been accepted by Expert Systems with Applications. 🌐
07/2025: Our paper "Optimal routing strategies for last-mile delivery with a fleet of a truck and heterogeneous robots" has been accepted by Transportation Research Record: Journal of the Transportation Research Board. 🌐
07/2025: Michael's research presentation, "Optimal hurricane evacuation routing with private and public vehicles: A joint chance-constrained stochastic programming model," has been accepted by the 2025 INFORMS Annual Meeting. Congratulations! 👍
06/2025: Congratulations to RJ for winning 1st place in the IISE DAIS (Data Analytics and Information Systems) Mobile/Web App Competition! Well deserved! Proud of your hard work and achievement! 🎉
05/2025: Our paper "Clustering Electricity Consumption Patterns using Functional Data Analysis" has been accepted by Sustainable Energy, Grids and Networks. 🌐
04/2025: RJ has been selected as a finalist for the IISE DAIS 2025 Web/Mobile App Competition! Congratulations, RJ, on this well-deserved recognition. Best of luck with your final presentation in Atlanta, GA!
03/2025: Congratulations to my student, Shivam, for earning 3rd place in the 2025 Hackathon hosted by the MU Institute for Data Science & Informatics! The event focused on Generative AI for Social Good, and I am proud to see Shivam’s creativity and hard work recognized. 🎉
02/2025: Dr. Na, in collaboration with Dr. Prasad Calyam, has developed an AI-driven proactive approach to counter evolving threats against smart grids, as highlighted by the College of Engineering at Mizzou.
02/2025: Dr. Na has collaborated with Dr. Rob Grace from the University of Cincinnati on a research project addressing deficit challenges for the Texas 9-1-1 Alliance, as featured by the College of Engineering at Mizzou.
I am currently looking for one highly motivated Ph.D. student to join our SSRS Lab in the Department of Industrial and Systems Engineering at the University of Missouri, starting as early as Fall 2026. The research will focus on one of the following areas:
Stochastic Optimization
Agent-based Simulation
This position is fully funded through a combination of research and teaching assistantships, which include full tuition support, a stipend, and benefits.
Qualifications:
M.S. in Industrial and Systems Engineering, Operations Research, Computer Science/Engineering, Transportation Engineering, Statistics, Mathematics, or related fields.
Experience in writing and presenting academic research, such as peer-reviewed journal/conference papers or an M.S. thesis.
Strong programming skills (e.g., Python, CPLEX, GAMS, AMPL, R, MATLAB, AnyLogic) and/or Proficiency with deep learning frameworks like TensorFlow and PyTorch.
Solid understanding of large-scale stochastic optimization or simulation methods with AI and machine learning.
If you are interested, please complete this survey by Monday, December 15, 2025. Note: 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.