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Dr. Til Prasad Pangali Sharma

M.Phil. degree from the University of Bergen Norway, and a Ph.D. degree from Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing China

Dr. Til Prasad Pangali Sharma has completed his Bachelor’s and master’s degree from Tribhuvan University Nepal, an M.Phil. degree from the University of Bergen Norway, and a Ph.D. degree from Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing China. His academic research has continuously focused on flood disaster and risk analysis over the central Himalaya particularly in Nepal. He has done his M.Phil. thesis on livelihood vulnerability to flood disaster in western Nepal. During his M.Phil. research he has used the PAR model, access model, and livelihood framework approach to assess the livelihood vulnerability to flood disaster. Similarly, his Ph.D. research has focused on flood risk analysis through remote sensing and GIS approach in Gandaki River Basin Nepal. Snowmelt Runoff Model (SRM), and the Geomorphic approach have been employed in his Ph.D. research.

Dr. Pangali Sharma has already published 11 papers in well reputed international journals and two research papers in national journals. Dr. Pangali Sharma has was awarded as the best international student of the year 2020 from the University of Chinese Academy of Science (UCAS) and also by the Chinese Scholarship Council (CSC).


Research Area

Flood Risk Analysis, GIS and Remote Sensing Application

Flood is one of the frequent hazards worldwide where the Himalaya region is not an exception. Concentrated monsoon rainfall in the central Himalaya region including Nepal, making floods more devastating disasters than others. Proper and timely risk analysis can help to reduce disaster loss significantly, while data quality and its continuous availability are equally important for better risk analysis. Having rugged topography, the Himalaya region is considered as a data deficit region where remote sensing data can be very good assets for flood risk analysis which ultimately helps to reduce flood disaster loss in the region