Jimin Park

Ph.D. in Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, Mar.2023.-

B.S. in Industrial and Systems Engineering (Minor in Science and Technology Policy), KAIST, Daejeon, Korea, Feb.2019.-Feb.2023. (GPA: 3.55/4.3)

Sejong Academy of Science and Arts, Sejong, Korea, Mar.2016.-Jan.2019. (GPA: 3.90/4.3)

• S.-H. Cho, S. Jeong, J. Park, B. Choi, P. Han, and H.-J. Kim, "Graph-based Reinforcement Learning for Dynamic Photolithography Scheduling", Winter Simulation Conference, Seattle, USA, 2025.

• J. Park, Z. Faturrahman, and H.-J. Kim, "In-Context Learning for User-specified Constraint Enforcement in Discrete Event Simulation", IEEE International Conference on Automation Science and Engineering (CASE), Los Angeles, USA, 2025.

• J. Park, I. Choi, S.-H. Cho and H.-J. Kim, "Deep Reinforcement Learning-based Encoder-Decoder Framework for The Clustered Traveling Salesman Problem", the Autumn Conference of Korean Institute of Industrial Engineers, Seoul, 2024.

• J. Park, S.-W. Lee, S. Jeong, H.-J. Kim, J. Li and S.-I. Mun, "Variable Neighborhood Search with Reinforcement Learning for Parallel Machine Batching Scheduling", IEEE International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024.

• J.-H. Lee, J. Park and H.-J. Kim, "Tree-based Dispatcher for Job Shop Scheduling", IEEE International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024.

• S. Joo, J. Ahn, H.-Y. Kim, J. Park, J. Kim, S. Park and H.-J. Kim, "Routing Algorithm for Enhancement of Semiconductor Chip Quality", the Autumn Conference of Korean Institute of Industrial Engineers, Ulsan, 2023.

• J. Park, I. Choi, and H.-J. Kim, "A multi-view attention-based encoder-decoder framework for clustered traveling salesman problem", Under review for IEEE Robotics and Automation Letters, submitted in 2025.

• K. S. Kim, M. Jang, S.-W. Lee, J. Park, and H.-J. Kim, "Multi-objective batching-dispatching framework for parallel machine scheduling with job families", Under review for Computers and Operations Research, submitted in 2025.

• J.-H. Lee, J. Park, and H.-J. Kim, "Learning local search with theoretical indicators for job shop scheduling", Under review for The Thirty-ninth Annual Conference on Neural Information Processing Systems, submitted in 2025.

• Development of a processing line scheduling engine using reinforcement learning/LLM, LG Electronics, Jun. 2025 - 

  • Project manager

  • Python

  • Reinforcement learning

• Large language model-based supply chain optimization, Samsung Electronics, Mar. 2025 - 

• Autonomous scheduling for swift and efficient adaptation to dynamic manufacturing environments, National Research Foundation of Korea, May. 2024 - 

• Reinforcement learning-based OLED FAB multi-agent scheduling, Samsung Display, Mar. 2024 - Feb. 2025.

  • Python, DOCPLEX

  • Simulator building

  • Constraint programming

• Production planning with AI, LG Electronics, Jul. 2023 - Feb. 2024.

  • Python, DOCPLEX

  • Simulator building

  • Reinforcement learning

• Routing algorithm for DRAM circuit design, SK Hynix, Mar. 2023 - Oct. 2023.

  • Python, DOCPLEX

  • Simulator building

• Counseling Assistant, ISysE KAIST, Mar.2023.-

  • Head Counseling Assistant, Sep.2023.-

• Intern, Manufacturing and Service Systems Lab., ISysE KAIST, Mar.2021.-Feb.2023.

• Undergraduate Research Program, KAIST, Jun.2022.-Dec.2022.

• International Challengers for the Integration of Science, Technology and Society (ICISTS), KAIST, Mar.2020.-Jan.2022.

  • President, Feb.2021.-Jan.2022.

• Undergraduate Student Council, Department of Industrial and Systems Engineering, KAIST, Mar. 2020. - Feb. 2022.

• Contributor for Korean Ministry of Science and ICT Blog, Feb.2019.-Feb.2021.

• Award from Chief of Staff Republic of Korea Army (2nd place), National Defense Competition for Graduate Students, Korea National Defense University (Nov. 2024)

• Best Counseling Assistant, KAIST (Spring semester, 2024)

• KAIST College of Engineering Leadership Award (Fall semester, 2022)

• Top 4% in KAIST Leadership Mileage Program (Dec. 2022)

• Bronze Prize (5th place), 18th Industrial Engineering Project Competition for Undergraduate Students, the Autumn Conference of Korean Institute of Industrial Engineers, Incheon (Nov. 2022)

• Gold Prize (2nd place), 17th Industrial Engineering Project Competition for Undergraduate Students, the Autumn Conference of Korean Institute of Industrial Engineers, Seoul (Nov. 2021)

• Best Prize (1st place), KAIST IE Frontier (Nov. 2021)

• Jang Yeongsil Prize for Outstanding Research, Sejong Academy of Science and Arts (Feb. 2019)

• Hanyu Shuiping Kaoshi (HSK) 5th grade (2016)

• Teaching Assistant, Scheduling Theory and Application (Organizer: Prof. Hyun-Jung Kim), KAIST, Mar. 2025. - Jun. 2025.

• Mentor, Undergraduate Research Program, KAIST, Dec. 2024. - Jun. 2025.

• Tutor, KAIST Center for Gifted Education, Mar. 2022. - Aug. 2022.

• Graduate mentor, Sejong Academy of Science and Arts