Langezijds

dr.ir. A. Dahal (Ashok)

Assistant Professor
ITC-SCI-GAIA
Langezijds 1415
a.dahal@utwente.nl
+31534898895
Business card

I grew up in the mountains of Nepal, witnessing the devastating impacts of earthquakes, landslides, wildfires, and floods. These experiences sparked my lifelong curiosity about natural hazards and motivated me to find ways to understand, predict, and reduce their impacts using science and technology.

My research sits at the intersection of geomatics, remote sensing, and artificial intelligence. I study how multiple hazards interact, how they can be monitored with satellite and geospatial data, and how AI can improve their modelling. I earned a Bachelor's in Geomatics Engineering from Tribhuvan University, followed by an MSc and PhD at the University of Twente, where my work focused on combining geophysical models, deep learning, and probabilistic approaches to better understand earthquake-induced landslides and floods.

I have collaborated with international institutions, including NASA's Jet Propulsion Laboratory, advancing remote sensing techniques for natural hazards and creating open datasets and courses on AI for hazard modeling. As an Assistant Professor at the University of Twente, I lead research projects on multi-hazard interactions, supervise MSc and PhD students, and teach courses on GeoAI and data-driven modeling.

Expertise

  • Earth and Planetary Sciences

    • Model
    • Landslide
    • Hillslope
    • Time
    • Time Series
    • Modeling
    • Occurrence

  • Computer Science

    • Models

Organisations

My current research topic is "Geophysical and Geo-AI-based evaluation and modelling of Earhtuqkae Induced Landslides".Ā But I am interested in anything that involves physics, math, programming and earth sciences.Ā 

Publications

2025

Do earthquakes wake more slopes than they calm? (2025)[Working paper › Preprint]. ArXiv.org. Dahal, A., Tanyaş, H., Handwerger, A. L., Lombardo, L. & Fielding, E.https://doi.org/10.48550/arXiv.2508.08819Long and short-term perspectives on spaceā€“time landslide modelling (2025)International Journal of Applied Earth Observation and Geoinformation (JAG), 142. Article 104694. Wang, T., Yin, K., Wang, Z., Fang, Z., Dahal, A. & Lombardo, L.https://doi.org/10.1016/j.jag.2025.104694First Pockmark susceptibility map of the Italian continental margins (2025)Marine and petroleum geology, 176. Article 107337. Spatola, D., Dahal, A., Lombardo, L., Casalbore, D. & Chiocci, F. L.https://doi.org/10.1016/j.marpetgeo.2025.107337Panā€European landslide risk assessment: From theory to practice (2025)Reviews of geophysics, 63(1). Article e2023RG000825. Caleca, F., Lombardo, L., Steger, S., Tanyas, H., Raspini, F., Dahal, A., Nefros, C., Mărgărint, M. C., Drouin, V., Jemec‐Auflič, M., Novellino, A., Tonini, M., Loche, M., Casagli, N. & Tofani, V.https://doi.org/10.1029/2023RG000825Ground instability effects (2025)In Geohazards and Disasters: Modelling Scenarios as a Challenge for the Future (pp. 47-75). Elsevier. Strom, A., Marmoni, G. M., Dahal, A., Tanyas, H., Lombardo, L. & Delchiaro, M.https://doi.org/10.1016/B978-0-443-22139-2.00003-XSpatial prediction of InSAR-derived hillslope velocities via deep learning (2025)Bulletin of engineering geology and the environment, 84(3). Article 131. He, J., Tanyas, H., Dahal, A., Huang, D. & Lombardo, L.https://doi.org/10.1007/s10064-025-04161-xDistribution-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

Quantifying the influence of topographic amplification on the landslides triggered by the 2015 Gorkha earthquake (2024)Communications Earth & Environment, 5. Article 678. Dahal, A., Tanyas, H., Mai, P. M., van der Meijde, M., van Westen, C. & Lombardo, L.https://doi.org/10.1038/s43247-024-01822-9At 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/10.1029/2024JH000164

Research profiles

Affiliated study programs

Courses academic year 2025/2026

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.

Courses academic year 2024/2025

Address

University of Twente

Langezijds (building no. 19), room 1415
Hallenweg 8
7522 NH Enschede
Netherlands

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