A. Dahal MSc (Ashok)

PhD Candidate


Engineering & Materials Science
Deep Learning
Geographic Information Systems
Population Distribution
Satellite Imagery
Earth & Environmental Sciences
Population Distribution


Geo-AI Based Modelling of Earthquake Induced Landslides Using Ground Motion Simulation


van Westen, C., Hazarika, M. K. , Dahal, A., Kshetri, T., Shakya, A., & Nashrrullah, S. (2022). The RiskChanges tool for multi-hazard risk-informed planning at local government level. Abstract from EGU General Assembly 2022, Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-3026
Dahal, A. , van den Bout, B. , van Westen, C. J., & Nolde, M. (2022). Spatial Loss Function for Super-Resolution of Geoscientific Data. Paper presented at Living Planet Symposium, LPS 2022, Bonn, North Rhine-Westphalia, Germany.
Mishra, B. , Dahal, A., Luintel, N., Shahi, T. B., Panthi, S., Pariyar, S., & Ghimire, B. R. (2022). Methods in the spatial deep learning: current status and future direction. Spatial Information Research, 30(2), 215-232. https://doi.org/10.1007/s41324-021-00425-2
Dahal, A., Sharma, P., & Hazarika, M. K. (2020). Implementation of integrated geospatial platform, database, and application for disaster risk management in Uttarakhand. 1-10. Paper presented at 40th Asian Conference on Remote Sensing, ACRS 2019 , Daejeon, Korea, Republic of.
Dan, T. T., Hazarika, M. K., Miyazaki, H., Nashrrullah, S. , Dahal, A., & Shibasaki, R. (2018). Estimation of population distribution using satellite imagery and GIS data. 539-547. Paper presented at 39th Asian Conference on Remote Sensing: Remote Sensing Enabling Prosperity, ACRS 2018, Kuala Lumpur, Malaysia.

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Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC (building no. 75), room 5-046
Hengelosestraat 99
7514AE  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC  5-046
P.O. Box 217
7500 AE Enschede
The Netherlands