Shenle Pan

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Dr. Shenle Pan is a leading researcher in intelligent logistics and smart city systems, with a primary focus on robotic warehousing and urban logistics optimization. His most cited work, "Operating policies for robotic cellular warehousing systems" (2024, 9 citations), addresses critical challenges in automated warehouse design and control, providing foundational insights into how robotic systems can improve efficiency, scalability, and flexibility in modern supply chains. More recently, Dr. Pan has advanced the field with his pioneering research on "Federated digital twins platform for smart city logistics: A knowledge-driven approach" (2025, 1 citation), which tackles the pressing issues of urban congestion, rising delivery demands, and resource constraints. This work proposes a novel framework that integrates digital twin technology with federated learning to enable real-time, adaptive logistics management in dense urban environments. By bridging the gap between physical operations and digital intelligence, Dr. Pan's contributions are shaping the future of sustainable, responsive urban logistics systems. His research is highly relevant for students and practitioners interested in the intersection of AI, robotics, and smart city infrastructure.