Expertise
Earth and Planetary Sciences
- Model
- Landslide
- Time
- Modeling
- Occurrence
- Hazard
- Datum
Computer Science
- Models
Organisations
My current research topic is "Geophysical and Geo-AI-based evaluation and modelling of Earhtuqkae Induced Landslides". But I am interested in anything that involves physics, math, programming and earth sciences.
Publications
2025
Distribution-agnostic landslide hazard modelling via Graph Transformers (2025)Environmental modelling & software, 183. Article 106231. Belvederesi, G., Tanyas, H., Lipani, A., Dahal, A. & Lombardo, L.https://doi.org/10.1016/j.envsoft.2024.106231Towards physics-informed neural networks for landslide prediction (2025)Engineering geology, 344, 1-14. Article 107852. Dahal, A. & Lombardo, L.https://doi.org/10.1016/j.enggeo.2024.107852
2024
Geophysical and Geo-AI based evaluation and modelling of earthquake induced landslides (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Dahal, A.https://doi.org/10.3990/1.9789036563031Quantifying the influence of topographic amplification on the landslides triggered by the 2015 Gorkha earthquake (2024)Communications Earth & Environment, 5, 1-10. Article 678 (E-pub ahead of print/First online). Dahal, A., Tanyas, H., Mai, P. M., van der Meijde, M., van Westen, C. & Lombardo, L.https://doi.org/10.1038/s43247-024-01822-9Code For "Quantifying the influence of topographic amplification on coseismic landslides: Insights from the 2015 Gorkha Earthquake" (2024)[Dataset Types › Dataset]. Zenodo. Dahal, A.https://doi.org/10.5281/zenodo.13880239At the junction between deep learning and statistics of extremes: Formalizing the landslide hazard definition (2024)Journal of Geophysical Research: Machine Learning and Computation, 1(3), 1-22. Dahal, A., Huser, R. & Lombardo, L.https://doi.org/10.1029/2024JH000164A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area (2024)Engineering geology, 337. Article 107584. Sang, H., Chang, L., Xi, C., Dahal, A., Lombardo, L., van Westen, C. J., Shi, B. & Tanyas, H.https://doi.org/10.1016/j.enggeo.2024.107584An ensemble neural network approach for space–time landslide predictive modelling (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 132. Article 104037. Lim, J., Santinelli, G., Dahal, A., Vrieling, A. & Lombardo, L.https://doi.org/10.1016/j.jag.2024.104037Dataset "Machine learning for natural hazard mapping" (2024)[Dataset Types › Dataset]. Zenodo. Dahal, A.https://doi.org/10.5281/zenodo.12723316On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values (2024)Geoscience Frontiers, 15(4). Article 101800. Wang, N., Zhang, H., Dahal, A., Cheng, W., Zhao, M. & Lombardo, L.https://doi.org/10.1016/j.gsf.2024.101800
Research profiles
Courses academic year 2024/2025
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Address

University of Twente
Langezijds (building no. 19), room 1415
Hallenweg 8
7522 NH Enschede
Netherlands
University of Twente
Langezijds 1415
P.O. Box 217
7500 AE Enschede
Netherlands