Integrated Master's and Ph.D. student
Department of Industrial and Systems Engineering, KAIST
E-mail: inguk0826@kaist.ac.kr (or inguk0826@gmail.com)
Mobile: +82 10-7136-9153
Office: Room 4226, E2-1, 291 Daehak-ro, Yuseong-gu, Daejeon 34141
(Last updated: Dec. 2025)
📚 Education
KAIST (Korea Advanced Institute of Science and Technology), Daejeon, South Korea
Integrated Master's and Ph.D. Student, Industrial and Systems Engineering
Mar. 2024 – Present
Advisor: Prof. Hyun-Jung Kim
Ajou University, Suwon, South Korea
B.S., Industrial Engineering
Mar. 2018 – Feb. 2024
Military Service: Apr. 2019 – Nov. 2020
GPA: 4.26/4.5 (Rank: 2/94)
😍 Research Interests
Neural Combinatorial Optimization
Autonomous Scheduling for Manufacturing Systems
AI-based Decision-Making Agent
🚀 Under Review/Accepted
S.-H. Cho, I. Choi, B. Choi, and H.-J. Kim, "Multi Objective Scheduling for Photolithography Process Using Graph Based Reinforcement Learning"
Under review at IEEE Transactions on Automation Science and Engineering (IEEE T-ASE)
I. Choi, W.-J. Shin, and H.-J. Kim, "Preference-Guided Multi-Policy Optimization for Solving Flexible Job Shop Scheduling"
Under major revision at IEEE Transactions on Industrial Informatics (IEEE TII)
📖 Publications
W.-J. Shin, I. Choi, S.-H. Cho, and H.-J. Kim, "Learning to Retrieve Containers: A Scale-Diverse Deep Reinforcement Learning Approach for the Container Retrieval Problem", Transportation Research Part C: Emerging Technologies (TR-C), vol.183, 2026. [Paper] [Code]
(†: Equal contribution) J.-M. Park†, I. Choi†, and H.-J. Kim, "A Multi-View Attention-Based Encoder-Decoder Framework for Clustered Traveling Salesman Problem", IEEE Robotics and Automation Letters (IEEE RA-L), vol.11, no.1, pp.137-144, 2026. [Paper] [Code]
I. Choi, W.-J. Shin, S. Cho, and H.-J. Kim, "Towards Generalizable Multi-Policy Optimization with Self-Evolution for Job Scheduling", The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, 2025. [Paper] [Code]
🗣 Conference Presentation
International
W.-J. Shin, D. Oh, I. Choi, M. Wiktorsson, E. Flores-García, Y. Jeong, and H.-J. Kim, "Learning-based Scheduling for Stochastic Job Shop Scheduling with Mobile Robots", Winter Simulation Conference (WSC), Seattle, USA, 2025.
I. Choi, S.-Y. Hwang, J. Ahn, J. Lee, S. Joo, K. Kim, H. Lee, Y. Song, and H.-J. Kim, "An Empirical Study on the Assessment of Demand Forecasting Reliability for Fabless Semiconductor Companies", Winter Simulation Conference (WSC), Seattle, USA, 2025.
I. Choi and H.-J. Kim, "Adaptive Self-Supervised Learning for Solving Flow Shop Scheduling Problems", IEEE International Conference on Automation Science and Engineering (IEEE CASE), Los Angeles, USA, 2025.
Domestic
I. Choi, H.-J. Kim, "A Self-Imitation Learning Framework for Neural Dispatching Rule Optimization ", the Spring Conference of Korea Institute of Industrial Engineers, Jeju, South Korea, 2025.
S.-H. Cho, S.-H. Jung, I. Choi, B. Choi, B. Han, and H.-J. Kim, "Multi-objective Scheduling for Photo Process Using Reinforcement Learning", the Spring Conference of Korean Institute of Industrial Engineers, Jeju, South Korea, 2025.
(†: Equal contribution) J.-M. 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 Korea Institute of Industrial Engineers, Seoul, South Korea, 2024.
LLM기반 공급사슬망 운영 최적화 방법론 개발
Optimization of supply chain network operations with LLM
with Samsung Electronics
Apr. 2025-present
강화학습 기반 OLED FAB Multi-agent 생산스케줄링 연구
Reinforcement learning-based OLED FAB multi-agent scheduling
with Samsung Display
Mar. 2025 - present
국방지능형 군집체계 연구센터
Defense intelligent swarm systems research center
with ITRC
May. 2024 - present
제조 환경 변화에 유연하게 대응가능한 자율운영 스케줄링 방법론 개발
Autonomous scheduling for swift and efficient adaptation to dynamic manufacturing environments
with National Research Foundation (NRF) of Korea
May. 2024 - present
AI 기반 시나리오별 최적 운영계획 수립 알고리즘 개발
AI-based algorithm for optimal operation plans for various scenarios
with Samsung Electronics
Mar. 2024 - Feb. 2025
🏆 Grants
Grand award (1st place), Graduate Students Poster Competition
KAIST, South Korea
Nov. 2025
Gold prize (2nd place), National Defense Competition for Graduate Students
Korea National Defense University and KAIST, South Korea
Nov. 2024
Excellence award (3rd place), Capstone Design Competition
Ajou University, South Korea
Dec. 2024
Excellence award (3rd place), KAIST IE Frontier
KAIST, South Korea
Nov. 2023
Encouragement award (4th place), Y-deathon Competition
Seoul AI-Hub, South Korea
Nov. 2023
Encouragement award (5th place), 19th Industrial Engineering Project Competition for Undergraduate Students
Korea Institute of Industrial Engineers, South Korea
Nov. 2023
Excellence award (3rd place), College of Engineering Self-development Competition
Ajou University, South Korea
Feb. 2023
Grand Award (1st place), 2022 Korea Undergraduate Student S&OP Competition
Korea Society of Supply Chain Management, South Korea
Nov. 2022
Encouragement Award (3rd place), Foreigner Administration Public Data Analysis Competition
Ministry of Justice, South Korea
Jul. 2022
Dean's List
Ajou University, South Korea
Aug. 2021, Jan. 2022