Sung Won Cho

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Assistant Professor

Dankook University

South Korea

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About

Dr. Sung Won Cho is an Assistant Professor at Dankook University, South Korea. His research areas include logistics optimization, reinforcement learning applications in transportation, and data-driven strategies for container and airport terminal operations. Recent articles authored by Dr. Cho focus on inbound truck scheduling, unmanned aerial vehicle path planning, and dynamic rescheduling strategies to balance passenger congestion.

Recent Grants

Grant: Close

Convergence Research Policy Fellowship

Open Date: 2020-05-01

Close Date: 2020-09-01

Grant: Close

Korea University Graduate Junior Fellow-Research Grant

Open Date: 2019-07-01

Close Date: 2020-06-01

Articles (17)

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2025

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2021

Collaborators (1)

Wonhee Lee

Korea Research Institute of Ships and Ocean Engineering

SOUTH KOREA

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Sung Won Cho

Research Interests

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Contact this professor

About

Recent Grants

Articles (17)

Reinforcement learning approach for outbound container stacking in container terminals

Inbound Truck Scheduling for Workload Balancing in Cross-Docking Terminals

Reinforcement learning-integrated evolutionary algorithm for enhanced unmanned aerial vehicle coverage path planning

Dynamic Rescheduling Strategy for Passenger Congestion Balancing in Airport Passenger Terminals

Proactive berth scheduling with data‐driven buffer time in container terminals

택배 터미널의 바닥짐 상황과 입하 트럭의 대기시간을 고려한 트럭 운영 스케줄링

KOLOMVERSE: Korea Open Large-Scale Image Dataset for Object Detection in the Maritime Universe

Data-driven dynamic stacking strategy for export containers in container terminals

GMM-based online optimization for container stacking in port container terminals

AIS Trajectories Simplification Algorithm Considering Topographic Information

Multi-UAV Coverage Path Planning Based on Hexagonal Grid Decomposition in Maritime Search and Rescue

Optimal Ordering Policy for Retailers with Bayesian Information Updating in a Presale System

Coverage Path Planning for Multiple Unmanned Aerial Vehicles in Maritime Search and Rescue Operations

Particle swarm optimization algorithm with time buffer insertion for robust berth scheduling

Robust Berth Planning under Uncertain Vessel Arrival

Rescheduling Strategy for Berth Planning in Container Terminals: An Empirical Study from Korea

An integrated method for berth allocation and quay crane assignment to allow for reassignment of vessels to other terminals

Collaborators (1)

Wonhee Lee

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