Research Interests

Methodologies
Simulation, Machine learning, Reinforcement learning, Meta heuristics, Mixed integer linear programming
Applications
Manufacturing and Logistics systems, Material handling, Scheduling

Education

Arizona State University, Ph.D. in Industrial Engineering (present)
- Advisor: Feng Ju
Pusan National University, M.S. in Industrial Engineering, 2023.
- Advisor: Soondo Hong
- Thesis title: “Order Batching and Sequencing for Temporal Workload Balancing in a Sequential Zone Order Picking System”
(Outstanding Paper/Presentation Award from Department of Industrial Engineering, Pusan National University, 2023)
Pusan National University, B.S. (Magna Cum Laude) in Industrial Engineering, 2022.
- Second Major: Big Data Interdepartmental Major

J. Park, Y. Su, F. Ju, “Deep Reinforcement Learning with Dynamic Graph Pruning for Scalable Flexible Job Shop Scheduling”, under review in IISE Transactions
J. Park, S. Hong, “Optimizing Blocking and Starving Delays in Sequential Zone Order Picking Systems through Time-Decomposed Workload Balancing”, Computers and Operations Research, 180, 107060 (2025)
J. Park, C. Park, S. Hong, “Gaussian process-based storage location assignments with risk assessments for progressive zone picking systems”, Computers and Industrial Engineering, 185, 109700 (2023)

J. Park, Y. Su, F. Ju, “Efficient Job Shop Scheduling via Graph based Deep Reinforcement Learning with Adaptive Multi-Action Selection”, IEEE International Conference on Automation Science and Engineering (CASE), (2024)
Y. Li, J. Park, G. Manogharan, F. Ju and I. Kovalenko, , ”A Mobile Additive Manufacturing Robot Framework for Smart Manufacturing Systems”, ASME 2024 19th International Manufacturing Science and Engineering Conference, (2024)
J. Park, P. Joatiko, C. Park, S. Hong, “Average flow time estimation and its application for storage relocation in an order picking system”, IFIP International Conference on Advances in Production Management Systems, 663, 60-66, (2022)
J. Park, H.Y. Fibrianto, S. Hong, “Order Batching and sequencing in a sequential zone order picking system with consideration of workload balance”, In K. Ellis, W. Ferrell, J. Knapp (Eds.), IISE Annual Conference and Expo 2022, Institute of Industrial and Systems Engineers, IISE, (2022)

“Dynamic Graph-based Deep Reinforcement Learning Approach for Large-size Flexible Job Shop Scheduling”, IEEE International Conference on Automation Science and Engineering (CASE), 2025, August 17-21, Los Angeles, California, USA
“Dynamic Graph-Based Reinforcement Learning for Efficient Scheduling in Large-Scale Flexible Job Shops”, 2025 IISE Annual Conference and Expo, May 31-June 3, 2025, Atlanta, Georgia, USA
“Multi-Swap Simulated Annealing Algorithm for Order Batching and Sequencing Problem in a Sequential Zone Picking System” INFORMS 2023 Annual Meeting, October 14-18, 2023, Phoenix, USA
“Feature Generation for Storage Location Assignment based on Flow Time Estimation”, The Joint conference of KIIE/KORMS, June 1-2, 2023, Jeju, Korea
“Storage assignment based on Gaussian Process surrogate modeling”, Data-driven optimization joint workshop, August 2-3, 2022, POSTECH, Pohang, Korea
“AS/RS material handling system optimization”, LG CNS Entrue exchange meeting, August 19, 2022, Pusan National University, Busan, Korea

I. Kovalenko, Y. Li, J. Park, G. Manogharan, F. Ju, 2024, “MOBILE ADDITIVE MANUFACTURING ROBOT FRAMEWORK FOR SMART MANUFACTURING SYSTEMS”, US Patent Application 63/738,017, filed December 23 2024, Patent Pending
S. Hong, J. Park, 2023, “APPARATUS AND METHOD FOR DETERMINING THE OPTIMAL LOADING POSITION OF ORDERED PRODUCTS”, Korean Patent Application 10-2023- 0030777, filed March 8 2023, and issued June 26, 2025.
S. Hong, J. Park, J. Jeong, C. Choi, 2022, “Apparatus for foresight analysis of passenger congestion in the platform for setting the optimal operating cycle of express trains”, Korean Patent Application 10-2022-0015214, filed February 7 2022, Patent Pending
S. Hong, J. Park, J. Jeong, J.Lee, M. Lim, Y. Choi, 2021, “Apparatus for foresight analysis of passenger usage for selecting the optimal stop station for express trains”, Korean Patent Application 10-2021- 0020132, filed February 15 2021, Patent Pending

Advancement of Resource Circulation (Remanufacturing) industry (Funded by Korea Energy Technology Evaluation and Planning, Sep. 2022 - Dec. 2022) - Scheduling automotive parts manufacturing processes for sustainability and productivity - My role: mathematical modeling, data curation, experimental design, simulation validation
Human action classification with Deep Learning approach (Industry-Academia Cooperation Project, Aug. 2020 - Dec. 2020) - To develop python-based deep learning framework for classifying human action from video data - My role: team leader, presenter, writing documents, model training and evaluation

Graduate Research Associate, Arizona State University, 2024
Graduate student tutoring Scholarship, Pusan National University, 2022
Research Assistant Scholarship, Pusan National University, 2022
Brain Korea Scholarship, Pusan National University, 2022
Graduate student Scholarship, Pusan National University, 2022
SW student scholarship, Software education center, Pusan National University, 2021
Undergraduate student Scholarship, Pusan National University, 2021, 2020, 2018, 2016
National Science and Engineering Undergraduate Scholarship, Korea Student Aid Foundation, 2015

Onsite support staff of the SEMICON West 2025
Website developer and Github repository manager of IEEE CASE 2025 Student Hackathon
Student volunteer of 2025 IEEE CASE, 2025 IISE Annual conference, 2023 Informs Annual meeting
Reviewer of IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Semiconductor Manufacturing, IEEE International Conference on Automation Science and Engineering, IEEE Robotics and Automation Letters, Winter Simulation Conference