- Full name: TRAN XUAN THONG
- M/F: Male
- Current job status: Teaching
- Degree: PhD
- Academic title – position:
- Email: thongtx@huce.edu.vn
TRAIN
- University: River and Hydropower Plant Engineering, Hanoi University of Civil Engineering, Vietnam (2004)
- Master: Hydraulic Construction Engineering, Hanoi University of Civil Engineering, Vietnam (2008)
- PhD: Hydraulic and Hydropower Construction Engineering, Hehai University, China (2025)
- Research topic: “Landslide risk assessment in mountainous areas: integrating machine learning, indicator-based approach, and geoinformatics” (Supervisor: Dr. Liu Si Hong)
MAIN RESEARCH DIRECTIONS
- Qualitative and quantitative analysis of risk characteristics and mechanisms of occurrence of natural disasters
- Data Science and Disaster Risk Analysis
- Geoinformatics and Artificial Intelligence in Spatial Analytics
- Disaster Risk Management and Community-Based Adaptation
- Mixed methods research in risk assessment and decision making
WORKING PROCESS
PUBLISHED SCIENTIFIC WORKS
- Tran, TX* , Liu, S., Ha, H., Bui, QD, Nguyen, LQ, Nguyen, DQ, … & Luu, C. (2024). A Spatial Landslide Risk Assessment Based on Hazard, Vulnerability, Exposure, and Adaptive Capacity [J]. Sustainability , 16 (21), 9574. (SCIE, Q1, 2024). Doi: https://doi.org/10.3390/issue16219574
- Luu, C., Ha, H., Tran, XT , Vu, TH, & Bui, QD (2024). Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques [J]. Advances in Space Research , 74(11), 5489-5513. (SCIE, Q1, 2024). Doi: https://doi.org/10.1016/j.asr.2024.08.046
- Ha, H., Bui, QD, Vu, DC, Hoang, T., Pham, DH, Nguyen, VP, Do, MH, Do, Tran, TX , & Luu, C. (2024). Landslide spatial prediction utilizing fuzzy unordered rules induction ensemble models: a case study in Thai Nguyen, Vietnam [J]. Modeling Earth Systems and Environment , 10(2), 2201-2219. (SCIE, Q1, 2024). Doi: https://doi.org/10.1007/s40808-023-01888-y
- Ha, H., Bui, QD, Nguyen, V.P., Tran, TX , & Luu, C. (2025). Assessing housing exposure to landslide hazards using hybrid machine learning and spatial modeling [J]. Modeling Earth Systems and Environment , 2025, 11 (4), 1-19. (SCIE, Q1, 2025). Doi: https://doi.org/10.1007/s40808-025-02428-6


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