Ashutosh Tiwari

About

Working as a Research Scientist at the Earth Observation and Innovation Lab at Virginia Tech, my research includes radar remote sensing and applications, and development of physics informed neural networks for monitoring geohazards. With over a decade of experience working with SAR interferometry for hazard (natural and anthropogenic) analysis and urban environment monitoring, I am exploring ways through which earth observation data and GeoAI can be synergistically used to transform geo-intelligence research.

Feel free to connect @ [email protected]

Employment

• Virginia Tech Research Scientist
  2026 - Present
• Texas A&M University Assistant Research Scientist
  2025 - Present
• Texas A&M University Postdoctoral Research Associate- Remote Sensing/Geospatial Data Analytics
  2024 - 2025
• Virginia Tech Postdoctoral Associate
  2022 - 2024
• Indian Institute of Technology Kanpur Research Establishment Officer
  2020 - 2022

Education

• Indian Institute of Technology Kanpur PhD
  2014 - 2020
• Motilal Nehru National Institute of Technology M.Tech
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Transferability of spatial and temporal learning models for winter wheat mapping in data-scarce environments: A case study in Armenia
  Remote Sensing Applications: Society and Environment 2026 DOI: 10.1016/j.rsase.2026.101885
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• In-season cotton yield forecasting using high resolution satellite imagery
  2026 DOI: 10.2139/ssrn.6876396
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• Leveraging Power of Deep Learning for Fast and Efficient Elite Pixel Selection in Time Series SAR Interferometry
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2026 DOI: 10.1109/JSTARS.2026.3719207
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• Land Subsidence on Java Island and Its Contributions to Relative Sea Level Change
  Science Advances 2026 DOI: 10.1126/sciadv.aec0172
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• Processing pipeline for fully-automated computation of 3D glacier surface flow time series
  Computers & Geosciences 2025 DOI: 10.1016/j.cageo.2025.105918
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• A novel machine learning and deep learning semi-supervised approach for automatic detection of InSAR-based deformation hotspots
  International Journal of Applied Earth Observation and Geoinformation 2024 DOI: 10.1016/j.jag.2023.103611
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• InSAR phase unwrapping using Graph neural networks 
  2022 DOI: 10.5194/egusphere-egu22-11010
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• Retrofitting communication antennas for astronomical and geodetic VLBI applications
  2022 DOI: 10.5194/egusphere-egu22-13321
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• Localization of deformation prone sites in the Himalayas using multi-temporal InSAR and Sentinel-1 images
  2022 DOI: 10.1002/essoar.10510657.1
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• A multi-criteria landslide susceptibility mapping using deep multi-layer perceptron network: A case study of Srinagar-Rudraprayag region (India)
  Advances in Space Research 2022 DOI: 10.1016/j.asr.2021.10.021
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