Siwei Shangguan
Papers
3
Total Citations
12
H-Index
2
About
Siwei Shangguan is a rising researcher in the field of smart manufacturing and industrial digitalization, with a focus on the configuration, operation, and intelligent maintenance of connected industrial products. Their work centers on integrating knowledge graphs and digital twins to enable self-monitoring, communication, and decision-making in cyber-physical systems. Shangguan’s major contributions include developing a novel method for building knowledge graph models that support the design and operation of smart and connected industrial products, a framework that bridges product configuration with real-time operational data. They have also advanced remote monitoring and maintenance systems, demonstrated through an industrial case study on robot-driven polishing systems under Industry 4.0, highlighting improvements in processing craft and equipment performance. More recently, Shangguan proposed a generic modeling method for multi-modal, multi-layer digital twins, enabling robust remote monitoring and intelligent maintenance in harsh industrial environments. With their most-cited paper garnering 6 citations and a growing portfolio of applied research, Shangguan is establishing a reputation for practical, scalable solutions that enhance the intelligence and resilience of modern industrial equipment.
Research Focus
Key Achievements
Top Papers
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