Bu‐Sung Lee
Papers
2
Total Citations
13
H-Index
2
About
Bu-Sung Lee is a pioneering researcher at the intersection of artificial intelligence, operations management, and robotic surgery. His work spans two transformative domains: applying deep reinforcement learning to complex supply chain problems and advancing the frontiers of telesurgery. In his highly cited 2022 paper (11 citations), Lee introduced a novel deep reinforcement learning approach for inventory control under stochastic lead times and demand, demonstrating how AI can optimize critical logistics decisions in uncertain environments. This work has significant implications for manufacturing and retail supply chains. More recently, Lee made headlines with his groundbreaking 2024 study on the feasibility of long-range telesurgical robotic radical gastrectomy in a live porcine model (2 citations). This transnational experiment, connecting surgical teams across multiple countries, represents a major step toward making complex robotic surgeries accessible worldwide. By bridging AI-driven optimization with cutting-edge surgical robotics, Lee’s work exemplifies how computational methods can transform both industrial operations and healthcare delivery. His research continues to push boundaries in applying machine learning to real-world, high-stakes decision-making.
Research Focus
Key Achievements
Top Papers
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- 2