I am a Master’s student at the Graduate School of Data Science, Pusan National University, Korea, and a member of BAELAB advised by Prof. Hyerim Bae.
My research focuses on data-driven decision making for container terminal operations, in particular reducing rehandling in import container yards through survival analysis of container dwell time and learning-based stacking policies.
Citations:
Email: glorytak74@pusan.ac.kr / glorytak74@naver.com
📌 Research Interests
- Container Terminal Operations: stacking of import containers in the yard, rehandling reduction
- Survival Analysis: discrete-time survival models, conditional residual survival curves for container dwell time
- Port Logistics Data: covariate modeling based on EDI messages
- Reinforcement Learning: learning-based container stacking policies
🔥 News
- 2026.08: 🎉 Our paper on container dwell time prediction is published in Transportation Research Part E.
📝 Publications
- Generative AI and Machine learning collaboration for container dwell time prediction via data standardization, Minseop Kim*, Takhyeong Kim, Taekhyun Park, Hanbyeol Park, Hyerim Bae, Transportation Research Part E: Logistics and Transportation Review, vol. 216, 105171, 2026. [DOI]
* indicates first author.
🎖 Honors and Awards
- 2025.12 작물 유용 물질 생산성 예측 모델, 2025 KISTI AI·DATA 경진대회, 최우수상 (국가과학기술연구회 이사장상), [Link]
📖 Educations
- M.S. in Data Science, Graduate School of Data Science, Pusan National University, Busan, Korea
- Advisor: Prof. Hyerim Bae, BAELAB
- B.S. in Technology Data Engineering, Division of Systems Management and Engineering (Industrial Engineering), Pukyong National University, Busan, Korea (2018.03 - 2024.02)