Linkan Bian
Papers
2
Total Citations
8
H-Index
2
About
Linkan Bian is a leading researcher at the intersection of advanced manufacturing, smart infrastructure, and data-driven optimization. His work is defined by two major thrusts: enhancing security and efficiency in Society 5.0 through sensor network design, and improving the reliability of additive manufacturing using physics-informed machine learning. In his highly cited 2021 paper, Bian developed an integrated pricing and QoS-aware sensor location model for security protection in smart cities, a foundational contribution to the Internet of Things as a service system. More recently, his 2025 work advances thermal physics-informed PointNet models to predict distortion in wire arc-directed energy deposition, addressing a critical defect in metal additive manufacturing. By fusing physical principles with deep learning, Bian is pioneering methods to predict and prevent structural failures in complex, layer-wise production processes. His research has already garnered significant attention, with his sensor location paper accumulating 6 citations, and his latest manufacturing work quickly earning 2 citations, underscoring his growing impact on both theoretical modeling and practical, high-value applications in industry.
Research Focus
Key Achievements
Top Papers
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- 2