ir.ing. A. Dahal (Ashok)

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

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

2024
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values, Article 101800. Wang, N., Zhang, H., Dahal, A., Cheng, W., Zhao, M. & Lombardo, L.https://doi.org/10.1016/j.gsf.2024.101800Space–time landslide hazard modeling via Ensemble Neural Networks, 823-845. Dahal, A., Tanyaș, H., Westen, C. v., Meijde, M. v. d., Mai, P. M., Huser, R. & Lombardo, L.https://doi.org/10.5194/nhess-24-823-2024From spatio-temporal landslide susceptibility to landslide risk forecast, Article 101765. Wang, T., Dahal, A., Fang, Z., van Westen, C., Yin, K. & Lombardo, L.https://doi.org/10.1016/j.gsf.2023.101765Deep graphical regression for jointly moderate and extreme Australian wildfires, Article 100811. Cisneros, D., Richards, J., Dahal, A., Lombardo, L. & Huser, R.https://doi.org/10.1016/j.spasta.2024.100811An ensemble neural network approach for space-time landslide predictive modelling. Earth ArXiv. Lim, J., Santinelli, G., Dahal, A., Vrieling, A. & Lombardo, L.https://doi.org/10.31223/X5198VFull seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction, Article 75 (E-pub ahead of print/First online). Dahal, A., Tanyaș, H. & Lombardo, L.https://doi.org/10.1038/s43247-024-01243-8
2023
Speech-recognition in landslide predictive modelling: A case for a next generation early warning system, Article 105833. Fang, Z., Tanyaș, H., Gorum, T., Dahal, A., Wang, Y. & Lombardo, L.https://doi.org/10.1016/j.envsoft.2023.105833Dynamic rainfall-induced landslide susceptibility: A step towards a unified forecasting system, Article 103593. Ahmed, M., Tanyaș, H., Huser, R., Dahal, A., Titti, G., Borgatti, L., Francioni, M. & Lombardo, L.https://doi.org/10.1016/j.jag.2023.103593From ground motion simulations to landslide occurrence prediction, Article 108898. Dahal, A., Castro-Cruz, D. A., Tanyaş, H., Fadel, I., Mai, P. M., van der Meijde, M., van Westen, C., Huser, R. & Lombardo, L.https://doi.org/10.1016/j.geomorph.2023.108898Assessing multi-hazard susceptibility to cryospheric hazards: Lesson learnt from an Alaskan example, Article 165289. Elia, L., Castellaro, S., Dahal, A. & Lombardo, L.https://doi.org/10.1016/j.scitotenv.2023.165289

Research profiles

Address

University of Twente

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

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