Dongdong Ge

Shanghai University of Finance and Economics, Stony Brook University

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About

Dongdong Ge is a leading figure in operations research and logistics optimization, best known for bridging cutting-edge algorithms with real-world industrial applications. His most impactful work centers on the intersection of warehouse robotics, supply chain analytics, and approximation algorithms. Ge’s landmark paper, “JD.com: Operations Research Algorithms Drive Intelligent Warehouse Robots to Work” (2022, 63 citations), documents how he helped transform JD.com into a global e-commerce logistics powerhouse. By deploying operations research models, Ge enabled intelligent warehouse robots to coordinate tasks, dramatically improving throughput and making same-day delivery a scalable standard in China’s B2C sector. Earlier, Ge made foundational contributions to multi-robot coordination with his work on the Freeze-Tag Problem (2003, 24 citations), where he developed improved approximation algorithms for awakening teams of sleeping robots—a problem with deep implications for swarm robotics and distributed systems. His research is characterized by a rare ability to derive elegant theoretical guarantees while solving pressing industrial challenges. Ge’s achievements demonstrate how rigorous algorithmic thinking can drive tangible, large-scale operational excellence, inspiring both academics and practitioners in the field of intelligent logistics.