Lei Jiao
Papers
1
Total Citations
1
H-Index
1
About
Lei Jiao is an emerging researcher whose work sits at the intersection of digital twin technology, systems modeling, and intelligent manufacturing. His research focuses on developing sophisticated frameworks for representing and simulating complex industrial processes, with a particular emphasis on radar assembly systems and production line optimization. Jiao's most notable contribution introduces a pioneering three-level modeling architecture — spanning element, station, and production line levels — that leverages Petri nets to construct dynamic, adaptive digital twin logic models. This hierarchical approach addresses longstanding challenges in modeling accuracy and responsiveness within flexible manufacturing environments, offering a structured methodology for assembling and fusing complex system representations in real time. By bridging formal mathematical modeling techniques with practical industrial applications, his work helps manufacturers better simulate, monitor, and optimize production workflows before physical implementation. Although his publication record is in its early stages, with his 2025 paper already accumulating citations shortly after release, Jiao demonstrates strong potential for meaningful contributions to smart manufacturing and cyber-physical systems research. His work will be of particular interest to engineers and scholars exploring digital twin deployment in defense-related and precision manufacturing contexts.
Research Focus
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Top Papers
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