Sai Mao

Papers

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About

Sai Mao is a leading researcher in construction engineering and automation, with a focus on advancing tunnel-boring operations and machine guidance systems. His work addresses critical challenges in underground infrastructure development, including railways, roads, and utility pipelines. Mao’s major contributions center on developing innovative alignment control and monitoring methods for tunnel boring machines (TBMs), enhancing precision in underground space navigation. His most-cited paper, “Virtual Laser Target Board for Alignment Control and Machine Guidance in Tunnel-Boring Operations” (2014, 18 citations), introduces a novel approach to machine guidance that improves accuracy and efficiency. Another key work, “Integrated Approach to Machine Guidance and Operations Monitoring in Tunnel Construction” (2014, 5 citations), provides a comprehensive framework for managing TBM tunneling projects, while “Multi-Point Concurrent Tracking and Surveying in Construction Field” (2013, 3 citations) advances real-time surveying techniques using total stations. Mao’s research has been presented at prestigious venues like the International Symposium on Automation and Robotics in Construction (ISARC), underscoring his impact on construction automation. His work is essential for students and researchers interested in smart infrastructure, geospatial engineering, and automated construction systems.