Tuan Ngo

Papers

Total Citations

399

H-Index

About

Dr. Tuan Ngo is a leading figure in construction informatics, whose work bridges computer science and civil engineering to transform the built environment. His primary research areas include computer vision for construction, structural health monitoring, and the application of artificial intelligence to infrastructure management. Dr. Ngo’s most significant contribution is his seminal critical review, "Computer Vision Techniques in Construction" (2020), which has garnered nearly 400 citations and serves as a foundational text for researchers and practitioners alike. This work systematically cataloged and evaluated the potential of image-based sensing for automating safety, progress tracking, and quality control on construction sites, effectively charting the course for a generation of subsequent studies. Beyond this landmark paper, his research has pioneered the use of deep learning for detecting structural defects and monitoring building performance in real time. Dr. Ngo’s impact is evident not only in his high citation counts but also in his role as a thought leader, frequently invited to speak at international conferences and advising on smart city initiatives. For students and researchers, his work offers a clear, rigorous roadmap for integrating cutting-edge computer vision into the practical, data-driven future of construction.