Saurabh Kaushik

Saurabh Kaushik

Postdoctoral Researcher, Geospatial Data Science, Machine Learning, Computer Vision, Geo-foundational Models, Transfomers, Data Fusion

Conference Presentations

Published:

Conferences

  • Kaushik Saurabh, Kandpal Kishore, Singh Tejpal, and Joshi P.K.
    Analysis of Climate Variability and Anticipated Risk of Glacial Lake Outburst in Sikkim Himalaya
    5th International YES Congress, Berlin, 2019

  • Kaushik Saurabh, Joshi P.K., Singh Tejpal, and Bhardwaj Anshuman
    Linking glacial lake expansion with glacier dynamics: An assessment of the South Lhonak lake, Sikkim Himalaya
    EGU General Assembly 2020
    DOI: 10.5194/egusphere-egu2020-685

  • Kaushik Saurabh, Singh Tejpal, Joshi P.K., and Dietz Andreas J
    Automated mapping of Eastern Himalayan glacial lakes using deep learning and multisource remote sensing data
    EGU General Assembly 2022
    DOI: 10.5194/egusphere-egu22-2904

  • Kaushik Saurabh, Singh T., Joshi P.K., Dietz A.
    Deep learning framework for automated mapping of glacial lakes using multisource remote sensing data
    ISMASS workshop 2022 “Ice Sheets: Weather vs Climate”, Reykjavík, Iceland, 23-24 August 2022

  • Kaushik Saurabh, Ian M. Howat, Sam Herreid, Joachim Moortgat
    Searching for Geological Hydrogen with Multisource Remote Sensing Data and AI
    AGU Fall Meeting 2023
    Link

  • Herreid Sam, Kaushik Saurabh, Howat Ian, Moortgat Joachim
    Combining Deep Learning and a Sparse Global Dataset of Free Hydrogen Associated Fairy Circles to Inform Exploration into a Potentially Revolutionizing Green Energy Source
    AGU Fall Meeting 2023
    Link

  • Kaushik Saurabh, Sam Herreid, Ian M. Howat, Joachim Moortgat
    Mapping and Analyzing Geological Hydrogen-related ‘Fairy Circles’ using AI-Driven Remote Sensing
    AGU Fall Meeting 2024
    Link

Landslide Susceptibility Assessment
Figure: Global map of potential geological hydrogen sites using deep learning and multisource remote sensing data.

  • Kaushik Saurabh, Tellman Beth, Zhijie Zhang, Rohit Mukherjee
    Improving urban flood inundation observations using multisource remote sensing data and masked autoencoder-based transformers
    American Geophysical Union (AGU) 2024

  • Kaushik Saurabh, Jaydeo Dharpure, Tellman Beth
    Combining multisource remote sensing data and convolutional neural networks for debris cover mapping
    Debris Cover Glacier Workshop, ISTA, Austria, 2024