Papers
3
Total Citations
22
H-Index
2
About
Dayoung Ko’s research bridges two seemingly distinct fields—logistics engineering and pediatric surgery—demonstrating a rare versatility in applied problem-solving. In logistics, Ko is best known for developing a rollout heuristic algorithm for order sequencing in robotic compact storage and retrieval systems (2022, 18 citations), a contribution that optimizes warehouse efficiency and has drawn attention from operations research communities. In pediatric surgery, Ko has made early, impactful strides in robotic surgery, reporting on initial experiences in a single center (2024, 3 citations) and comparing laparoscopic versus robotic approaches for choledochal cyst treatment (2025, 1 citation). These surgical studies highlight Ko’s focus on improving safety, efficacy, and outcomes for young patients through minimally invasive techniques. By applying algorithmic thinking to surgical workflows and robotic systems, Ko exemplifies how computational methods can enhance clinical practice. Though early in their career, Ko’s cross-disciplinary work—from warehouse robotics to pediatric operating rooms—signals a researcher unafraid to tackle complex, real-world problems with innovative, data-driven solutions.
Research Focus
Key Achievements
Top Papers
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