We are pleased to welcome Haibo Shi as a visiting researcher in our group!
Haibo joins us from the College of Surveying and Geo-Informatics at Tongji University, where he pursued his PhD focusing on high-speed videogrammetry for high-precision dynamic damage detection of large-scale structures. His work was part of the project High-precision long-distance high-speed videogrammetric technology for major civil infrastructure deformation under the State Key Laboratory of Disaster Reduction in Civil Engineering.
At our group, Haibo will be working on the development of the low-cost camera and Lidar system to monitor river morphodynamics and deadwood transport (RM-DT) processes. By leveraging advanced processing algorithms and techniques, his research aims to provide hypertemporal monitoring and spatiotemporal segmentation of these processes. The ultimate goal is to enhance the accuracy of river channel change predictions, providing accurate, comprehensive, and quantitative insights for disaster early warning by temporal segmentation of RM-DT in high-frequency full history spatiotemporal fusion data.
We look forward to exciting collaborations ahead—welcome, Haibo!