Education
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2023.08 - Present Daejeon, South Korea
Integrated M.S.–Ph.D. Student
Korea Advanced Institute of Science and Technology (KAIST) Industrial & Systems Engineering
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2022.01 - 2022.05 Arizona, USA
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2019.03 - 2023.08 Seoul, South Korea
Work
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2023.01 - 2023.07 -
2022.07 - 2022.12
Publications
- 2026
LLM-Driven Algorithm Design for Quantum Circuit Synthesis based on Binary Decision Diagrams
Yoonju Sim, Federico Berto, Chuanbo Hua, Jinkyoo Park, and Changhyun Kwon
Transactions on Machine Learning Research (TMLR)
Under Review
- 2025
Test-Time Search for Neural Graph Coarsening Procedures for the CVRP
Yoonju Sim, Hyeonah Kim, and Changhyun Kwon
Under Review
Projects
- 2025.02 - 2025.09
AI-accelerated Production Planning
Developed an AI-accelerated Lagrangian relaxation model for CLSP, achieving near-optimal solutions and supporting fast 3-month production planning.
- 2023.09 - 2023.12
UAM Simulation — GS E&C
Designed and implemented Python-based simulation to analyze UAM vertiport capacity, optimizing gate/FATO configurations using queueing and event-based modeling.
- 2023.01 - 2023.01
Supplier Performance Management System
Conducted research and led a team to develop a supplier performance management system (IME Department, Korea University).
- 2022.09 - 2022.12
RUL Prediction and Anomaly Detection
Predicted residual life of equipment using unsupervised learning on sensor data; won 1st prize in department competition.
Volunteer
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2023.01 - 2023.12 Korea University
Awards
- 2025.11.18
Excellence Award — Poster Competition for Industrial/Social Problem Solving
Department of Industrial and Systems Engineering, KAIST
Excellence Award for poster competition.