
Dr Ritu Anilkumar
B.Tech, PhD
Expertise
Current positions
Senior Research Associate
School of Geographical Sciences
Contact
Press and media
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Research interests
I'm a researcher working on glacier mass balance estimation using techniques ranging from remote sensing and in situ datasets to physics-informed modelling. My PhD focused on machine learning methods for glacier mass balance estimation in the Himalayas. Presently, I am developing techniques by which uncertainty-aware estimates of glacier mass balance can be developed for all of the world's glaciers, using Bayesian and interpretable machine learning. This allows me to assess glacier mass changes in regions that have historically been difficult to monitor, and to better understand the processes driving these changes.
Publications
Recent publications
01/01/2026Emerging Geospatial Technology for Empowering Governance Activities in NER
Coresource 4
GeoAI
Coresource 4
Reconstructing Annual Global Glacier Mass Balance using Bayesian Neural Fields
A Deep Learning Approach to Map Himalayan Glacial Lakes in Monsoon Using Synthetic Aperture Radar Datasets
2024 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2024
Snow Depth Modelling using Hybrid Optical - SAR Approach
2024 IEEE India Geoscience and Remote Sensing Symposium, InGARSS 2024

