Team
People
Meet the principal investigator, PhD/MASc students, and full-time/part-time research assistants.
View teamHKUST · Smart Infrastructure · AI
The MVSI lab is focused on AI and machine vision-empowered engineering solutions for civil infrastructure, such as buildings, bridges, roads, and tunnels, which involves the development and application of computer vision, point clouds, signal processing, multimodal feature fusion, agentic AI systems, and robotic technologies for design, construction, inspection, and performance assessment.
AI, vision, point clouds, UAVs, UGVs, and digital twins for structural inspection.
Robotic construction machinery, site monitoring, path planning, and control.
Vision-language models and computer vision for automated drawing understanding.
Digital twin-aided testing, FE modelling, dampers, and seismic performance assessment.
HKUST
The MVSI lab is based in the Department of Civil and Environmental Engineering at The Hong Kong University of Science and Technology (HKUST).
Gallery
Selected academic activities, awards, seminars, and presentations from the MVSI lab.
Prof. Xiao Pan was awarded the “Young Engineer Merit Award” by the International Association for Bridge and Structural Engineering (IABSE) in Tokyo in 2025.
Prof. Xiao Pan attended the HKUST Civil and Environmental Engineering Postgraduates and Scholars Association 14th Annual Conference, held at Chongqing University, in 2025.
Prof. Xiao Pan attended the UBCV-UBCO Joint Seminar on Structural and Earthquake Engineering, co-organized by Prof. Shahria Alam and Prof. Tony T.Y. Yang in 2024.
Prof. Xiao Pan gave a technical presentation about “Robotic and machine vision technologies towards smarter and more efficient construction, inspection, and monitoring practices in the AEC industry”, at HDR Inc., Vancouver, Canada, in 2024.
Recent news
Team
Meet the principal investigator, PhD/MASc students, and full-time/part-time research assistants.
View teamPublications
Recent journal articles and selected outputs are summarized with authors, venues, and DOI links.
View publicationsRecruitment
Motivated students, postdoctoral researchers, visiting scholars, and research interns are welcome to contact the group.
Recruitment information