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HYEONG SUK NA, PH.D.
HYEONG SUK NA, PH.D.
("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
RECENT NEWS
RECENT NEWS
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.
01/2025: Zahra Sobhani (Ph.D. student) has joined our research group. Welcome!
12/2024: 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.
11/2024: Dr. Na has been officially recognized as a CMMI Panel Fellow by NSF CMMI for their commitment to deliberative democracy in panel reviews.
11/2024: Michael Geisecke (Ph.D. student) has joined our research group. Welcome!
10/2024: Shivam's research presentation "Post-Disaster Damage Assessment from High-Resolution Satellite Imagery using D-LinkNet with Hierarchical Transformer Difference Blocks" has been accepted by the 2025 NHERI Computational Symposium. Congratulations to Shivam Shrivastava for receiving the travel fund from DesignSafe at UT Austin and the NHERI SimCenter at UC Berkeley through support from the National Science Foundation (NSF)!
09/2024: Dr. Na has received the Bloss Faculty Enhancement Fellowship from the Department of Industrial and Systems Engineering at the University of Missouri. The funds for this grant come from an endowment that an alumnus of the ISE Department – Bob Bloss – explicitly created to support early-career ISE Faculty in establishing their research careers.
09/2024: Dr. Na has received funding from the Department of Homeland Security for a research grant focusing on Enhancing AIT-based Passenger Screening Processes and Security Through Integrated Stochastic Optimization and Artificial Intelligence Strategies.
OPEN POSITIONS [Deadline: September 1, 2025]
OPEN POSITIONS [Deadline: September 1, 2025]
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 Spring 2026. The research will focus on one of the following areas:
Large-Scale Stochastic Optimization,
AI and Machine Learning, or
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, AI and machine learning, or simulation methods.
If you are interested, please complete this survey by Monday, September 1, 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.
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