Ph.D., Central South University, China
👨🔬 Dr. Bangjie Fu is a dedicated researcher at the intersection of Engineering Geology, Remote Sensing Technology, Geographic Information Systems (GIS), and Artificial Intelligence. His expertise lies in statistical modeling and machine learning for geo-hazard analysis, specifically focusing on landslide detection, susceptibility, and risk assessment. Dr. Fu’s research supports proactive geological hazard detection and prevention, contributing to safer and more resilient infrastructures. 📡🌍🛠️
Publication Profile
Scopus
Education
Doctorate in Civil Engineering Planning and Management – Central South University. Master’s Degree in Engineering Geology – China University of Geosciences. Bachelor’s Degree in Geology Engineering – Guilin University of Technology
Experience
🔬 Dr. Fu’s work includes pioneering applications of AI and machine learning for geo-hazard detection and GIS-based assessments. He has developed and refined models for landslide susceptibility, employing deep learning and data-driven methods to advance the field of geological risk mitigation.
Research Interests
Geo-Hazard Analysis, Landslide Assessment and Detection, Geological Engineering, Remote Sensing Applications in Geo-Hazards.
Publications
“Review on the Artificial Intelligence-based methods in Landslide Detection and Susceptibility Assessment: Current Progress and Future Directions” – International Journal of Geo-Engineering (2024). DOI: 10.1016/j.ige.2024.10.003
“PSO-SLIC algorithm: A novel automated method for the generation of high-homogeneity slope units using DEM data” – Geomorphology (2024). DOI: 10.1016/j.geomorph.2024.109367
“Dynahead-YOLO-Otsu: An efficient DCNN-based landslide semantic segmentation method using remote sensing images” – Journal of Spatial Science (2024). DOI: 10.1080/19475705.2024.2398103
“A side-sampling based Linformer model for landslide susceptibility assessment: A case study of the railways in China” – Journal of Spatial Science (2024). DOI: 10.1080/19475705.2024.2354507
“RIPF-Unet for regional landslides detection: A novel deep learning model boosted by reversed image pyramid features” – Natural Hazards (2023). DOI: 10.1007/s11069-023-06145-0