Papers
5
Total Citations
101
H-Index
4
About
Xuesong Shen is a civil and construction engineering researcher whose work sits at the intersection of underground construction, automation, and real-time computing. His research has focused primarily on the automation of tunnel-boring machine (TBM) positioning and guidance systems, addressing a critical challenge in modern tunneling operations where precision is essential for safety and infrastructure integrity. Shen's most influential contribution, published in 2010 and accumulating 56 citations, introduced an automated, cost-effective TBM guidance framework for microtunneling and pipe jacking operations, integrating automated data collection with real-time computing to overcome the limitations of conventional laser-based guidance systems. His subsequent work extended these principles to large-diameter drainage tunnel construction, developing lab-tested automation systems capable of meeting the stringent alignment controls required for municipal sewer and stormwater infrastructure. Beyond his technical research, Shen has contributed to the broader research community through his involvement with the International Symposium on Automation and Robotics in Construction (ISARC), with the 2021 proceedings garnering 28 citations. Across his body of work, Shen has established himself as a meaningful contributor to construction automation, helping push underground infrastructure development toward smarter, safer, and more precise engineering solutions.
Research Focus
Key Achievements
Top Papers
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- 3Tunnel Boring Machine Positioning Automation in Tunnel Construction7 citations · 2012
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