Hyungjun Park
hjpark@hanbat.ac.kr
hjpark@hanbat.ac.kr
Hyungjun Park is an assistant professor in the Department of Industrial and Management Engineering at Hanbat National University. He completed Ph.D. program in the Department of Industrial and Management Engineering at POSTECH, under the supervision of Prof. Dong Gu Choi. After graduation, he worked as a postdoctoral researcher at Future IT Innovation Laboratory.
His research area includes energy system control, smart logistics and smart manufacturing.
His research method is optimization algorithms, including meta-heuristic, deep learning, and reinforcement learning.
Ph.D., Industrial and Management Engineering, POSTECH, South Korea, 2018.02 - 2023.08
B.A., Economics, Sogang University, South Korea, 2014.02 - 2018.02
B.S., Computer Science and Engineering, Sogang University, South Korea, 2014.02 - 2018.02
2023.09 - 2024.08: Postdoctoral Researcher, Future IT Innovation Laboratory, POSTECH, South Korea
2024.09 - Current: Assistant Professor, Industrial and Management Engineering, Hanbat National University, South Korea
Sejong Research Fellowship, Ministry of Science and ICT, 2024
POSTECH Initiative for fostering Unicorn of Research & Innovation (PIURI) Fellowship, POSTECH, 2023
Merit-based Scholarship, Sogang University, 2014
You can find my papers listed in Google Scholar
H. Park, M. K. Sim, and D. G. Choi*, “Twin-System Recurrent Reinforcement Learning for Optimizing the Portfolio Strategy”, Expert Systems with Applications, 2024, 253, 124193 [SCIE, IF=7.5, 5.2%(6/106), OR/MS].
H. Park, B.-I. Kim, D. G. Choi*, H. Kim, T. Kang, and Y. Lee, “Layer and Length-Deviation Limit Aware Interposer Routing for Bend and Wirelength Minimization”, IEEE Transactions on Components, Packaging and Manufacturing Technology, 2024, 14(6), 993-1006 [SCIE, IF=2.3, 49.6%(175/352), EE].
H. Park, D. G. Choi, and D. Min*, “Adaptive Inventory Replenishment using Structured Reinforcement Learning by Exploiting a Policy Structure”, International Journal of Production Economics, 2023, 266, 109029 [SCIE, IF=9.8, 2.4%(3/106), OR/MS].
H. Park, D. Min, J. Ryu, and D. G. Choi*, “DIP-QL: A Novel Reinforcement Learning Method for Constrained Industrial Systems”, IEEE Transactions on Industrial Informatics, 2022, 18(11), 7494-7503 [SCIE, IF=12.3, 5.0%(3/50), IE].
H. Park, M. K. Sim, and D. G. Choi*, “An intelligent financial portfolio trading strategy using deep Q-learning”, Expert Systems with Applications, 2020, 158, 113573 [SCIE, IF=6.954, 8.93%(8/84), OR/MS].
Study on Artificial Intelligence-driven Semiconductor Design Automation Technology (2024.05 - 2029.04)
National Research Foundation (NRF)
Reinforcement Learning-Based Coil Job Shop Scheduling Solution (2024.06 - 2024.08)
Research Institute of Industrial Science & Technology (RIST)
Integrating AI and Heuristic Search in Scheduling: Development and Real-World Implementation (2024.09 - 2024.11)
Research Institute of Industrial Science & Technology (RIST)
International
H. K. Kim, T. W. Kang, J. R. Kim, S. J. Park, D. G. Choi, B.-I. Kim, H Park, B. Lee, S. Han (2024) "A method for optimal placement and routing of transistors", Application(18/930,102 US)
Domestic
최동구, 박형준, 황윤태, 최재원, 이원재 (2024) “도로 교통 흐름 예측 방법 및 장치”, 출원(10-2024-0146542)
김현규, 강태욱, 김준락, 박시저, 최동구, 김병인, 박형준, 이범희, 한선진 (2024) “트랜지스터의 최적배치 및 라우팅방법”, 출원(10-2024-0075681)
위현곤, 박형준(2024) "강화학습 기반의 강판 생산 일정 계획 수립 장치 및 방법", 출원(10-2024-0188720)
박형준, 이인수(2024) "지능형 철강 군집화 시스템", 출원(10-2024-0171817)
Chair of the External Cooperation Committee for Korean Society of Industrial and Systems Engineering
Invited reviewer for European Journal of Operational Research // IEEE Transactions on Industrial Informatics // IEEE Transactions on Mobile Computing // Journal of the Korean Institute of Industrial Engineers // Neurocomputing // Sustainable Computing: Informatics and Systems // Industrial Engineering & Management Systems