Song He
Papers
1
Total Citations
35
H-Index
1
About
Song He is a leading researcher in civil infrastructure management, specializing in the integration of Building Information Modeling (BIM) and Augmented Reality (AR) for structural health monitoring. His most-cited work, "Defect-oriented supportive bridge inspection system featuring building information modeling and augmented reality" (2022, 35 citations), pioneers a novel framework that transforms traditional bridge inspection by overlaying digital defect data onto physical structures in real time. This contribution directly addresses the critical challenge of aging infrastructure, enabling inspectors to visualize, document, and prioritize structural flaws with unprecedented accuracy and efficiency. He’s research bridges the gap between digital twin technology and field practice, offering a scalable solution for proactive maintenance. By combining BIM’s data-rich models with AR’s immersive visualization, his work has been recognized as a foundational step toward smarter, safer infrastructure management. With growing citations and influence, Song He continues to advance the field, inspiring new approaches to defect detection and lifecycle asset management.
Research Focus
Key Achievements
Top Papers
- 1