Seokhyun Chung, Ph.D.

Assistant Professor (tenure-track), Industrial & Management Engineering
Korea University, Seoul, South Korea (Sep. 2025 – present)

Assistant Professor (tenure-track), Systems & Information Engineering
University of Virginia, Charlottesville, VA USA (Aug. 2023 – Aug. 2025)

Ph.D. in Industrial & Operations Engineering
University of Michigan, Ann Arbor, MI USA (Apr. 2023)

M.A. in Statistics
University of Michigan, Ann Arbor, MI USA (Apr. 2023)

M.S. in Industrial & Management Engineering
Korea University, Seoul, South Korea (Aug. 2018)

B.S. in Industrial & Management Engineering
Korea University, Seoul, South Korea (Feb. 2016)

• QCRE Best Track Paper Finalist, 2024 IISE Annual Conference
• QSR Best Paper Competition Finalist, 2022 INFORMS Annual Meeting
• QCRE Best Student Paper Award Finalist, 2021 IISE Annual Conference
• Featured Article of the Year, 2021 IEEE ACCESS
• Rackham Predoctoral Fellowship Award 2022-2023

Teaching interests: Applied Bayesian statistics, Reliability engineering, Statistical models, and AI/Machine learning

Instructor (at Korea University)

• IMEN 376: Smart Production Operations and Management (Fall 2025)
• IME 832: Seminar in Systems Engineering (Fall 2025)
• ITS 514: Data-driven Reliability Engineering (Fall 2025)

Instructor (at University of Virginia)

• SYS 4582: Selected Topics in Systems Engineering – Data Mining (Spring 2024)
• SYS 6021: Statistical Modeling I (Fall 2023, 2024)
• SYS 4053: Capstone Design (Fall 2024 – Spring 2025)
• Project 1: Improving Patient Flow in the UVA Emergency Department: Understanding Efficiency, Throughput, and the Quality of the Patient Experience
• Project 2: Improving TheUsual.ai's Restaurant Recommendation Engine leveraging Machine Learning and Large Language Model training

• Completion of Rackham-CRLT Preparing Future Faculty Seminar, University of Michigan (2022)

Reviewer for Technometrics, Pattern Recognition, INFORMS Journal on Computing, IISE Transactions, IEEE Transactions on Reliability, IEEE Transactions on Automation Science and Engineering, IEEE/ASME Transactions on Mechatronics, Journal of Intelligent Manufacturing, and AISTATS

INFORMS QSR Session Chair (2022 - )

"Probabilistic Predictive Analytics for Collaborative Systems"

• Department of Industrial & Management Engineering, POSTECH, Mar. 2025
• Department of Industrial Management Engineering, Korea University, Jun. 2024
• Department of Industrial Engineering, Yonsei University, May. 2024
• UVa AI/ML Seminar, University of Virginia, Oct. 2023
• Department of Industrial & Systems Engineering, North Carolina A&T State University, Sep. 2023

"Collaborative Data Analytics for Smart and Connected Systems"

• Department of Industrial & Systems Engineering, KAIST, Mar. 2023
• Department of Industrial Engineering, University of Arkansas, Feb. 2023
• School of Systems and Enterprises, Stevens Institute of Technology, Feb. 2023
• Department of Engineering Systems & Environment, University of Virginia, Feb. 2023
• Department of Industrial & Manufacturing Engineering, Florida State-Florida A&M University, Feb. 2023
• Department of Industrial Engineering, Clemson University, Jan. 2023
• Department of Industrial & Systems Engineering, Auburn University, Jan. 2023
• Department of Industrial Engineering, University of Pittsburgh, Jan. 2023
• Department of Industrial Engineering, UNIST, Dec. 2022
• Department of Industrial & Systems Engineering, University of Missouri, Dec. 2022