Jiaqi Sheng

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About

Dr. Jiaqi Sheng is a pioneering researcher in the intersection of digital twin technology, logistics management, and intelligent automation. Their most influential work introduces the "DigiPyramid" framework, a multiresolution Digital Twin architecture that revolutionizes reliable logistics management by enabling low-cost, flexible data aggregation across heterogeneous enterprise systems—including ERP, WMS, and TMS—through Robotic Process Automation. This conceptualization-to-implementation approach leverages Bayesian networks to enhance decision-making and operational intelligence in complex supply chains. With their 2025 publication already garnering early citations, Dr. Sheng's contributions are gaining rapid recognition for addressing critical gaps in real-time logistics visibility and system interoperability. Their work stands out for bridging theoretical digital twin concepts with practical, scalable solutions that reduce implementation barriers for industry. Dr. Sheng's research is particularly notable for its emphasis on "intelligentization"—moving beyond simple digital replication to enable autonomous, data-driven logistics optimization. This forward-thinking framework positions Dr. Sheng as a rising authority in smart logistics and Industry 4.0 applications, offering transformative potential for how global supply chains achieve resilience and efficiency through integrated digital ecosystems.