Rate My Professor Ashok Dahal

Dahal's research expertise lies at the intersection of geomatics, remote sensing, and artificial intelligence, focusing on monitoring hazards with satellite and geospatial data and enhancing modelling through AI techniques. He has received the EscherPrijs in 2021 and the ITC Publication Award in 2023 for his contributions. Notable publications include "Quantifying the influence of topographic amplification on the landslides triggered by the 2015 Gorkha earthquake" (Communications Earth & Environment, 2024), "At the junction between deep learning and statistics of extremes: Formalizing the landslide hazard definition" (Journal of Geophysical Research: Machine Learning and Computation, 2024), "Towards physics-informed neural networks for landslide prediction" (Engineering Geology, 2025), "Distribution-agnostic landslide hazard modelling via Graph Transformers" (Environmental Modelling & Software, 2025), "Long and short-term perspectives on space–time landslide modelling" (International Journal of Applied Earth Observation and Geoinformation, 2025), and "Pan-European landslide risk assessment: From theory to practice" (Reviews of Geophysics, 2025). Dahal has collaborated with international institutions, including NASA's Jet Propulsion Laboratory, to develop remote sensing methods for natural hazards, create open datasets, and offer courses on AI applications in hazard modeling. With 50 research outputs encompassing 22 articles, 12 preprints, and 6 datasets, his scholarship supports UN Sustainable Development Goals related to industry innovation, infrastructure, and climate action.