Ashok Dahal

Ashok Dahal is an Assistant Professor in the Department of Applied Earth Sciences, specializing in landslide hazard modeling, InSAR data analysis, and deep learning applications for geoscience. His research integrates artificial intelligence with geological data to address challenges in environmental risk assessment.

• Key Research Areas: Artificial Intelligence, Geo Sciences, Deep Learning, Landslide Hazard Modeling, Computer Vision, Data Dependencies.

Recent work focuses on space-time landslide modeling, physics-informed neural networks, and explainable AI for susceptibility mapping. His publications highlight collaborations across Europe and Turkey, emphasizing geohazard mitigation.

• Scientific Awards:
  • EscherPrijs (2021)
  • ITC Publication Award (2023)