CV
This is the page for Curriculum Vitae (CV).
Basics
| Name | Yoonju Sim |
| Label | PhD Candidate in Industrial Management and Engineering |
| syj5268@kaist.ac.kr | |
| Url | https://github.com/syj5268 |
Education
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2023.08 - Present Daejeon, South Korea
Combined MS & PhD 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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2023.08 - Present -
2023.01 - 2023.07 -
2022.07 - 2022.12
Publications
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2025.10.22 Test-Time Search for Neural Graph Coarsening Procedures for the CVRP
Under Review
Preprint submitted to Transportation Science (INFORMS), 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.
Skills
| Programming | |
| Python | |
| Julia |
| Research Methods | |
| Mixed-Integer Programming | |
| Large-scale Optimization | |
| Machine Learning | |
| LLMs |
Languages
| Korean | |
| Native |
| English | |
| Fluent |
Interests
| Optimization | ||||
| Vehicle Routing | ||||
| Decomposition Methods | ||||
| Quantum Computing | ||||
| AI | |||
| Large Language Models (LLMs) | |||
| Reinforcement Learning | |||