Xiulin Li
Papers
1
Total Citations
1
H-Index
1
About
Dr. Xiulin Li is a pioneering researcher in intelligent logistics and digital twin technologies, with a focus on transforming supply chain management through data-driven automation. Their most notable contribution is the development of DigiPyramid, a multiresolution Digital Twin framework that enhances reliability in logistics operations. This innovative framework integrates Robotic Process Automation (RPA) to enable low-cost, flexible data aggregation across heterogeneous enterprise systems such as ERP, WMS, and TMS, while employing Bayesian Networks for probabilistic modeling and decision support. Dr. Li’s work bridges the gap between conceptual digital twin architectures and practical industrial implementation, offering a scalable solution for intelligentizing logistics processes. Their research has already garnered attention in the field, with their 2025 publication on DigiPyramid earning early citations. By addressing critical challenges in data integration and system interoperability, Dr. Li is advancing the frontier of smart logistics, making their work essential reading for researchers and practitioners seeking to harness digital twins for reliable, automated supply chain management.
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Top Papers
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