Shubham Singh, Ph.D.
Postdoctoral Fellow
Department of Urban and Environmental Policy & Planning
Tufts University, Medford, MA, USA
I am a researcher working at the intersection of remote sensing, machine learning, and Earth system science. My work develops scattering models, polarimetric decomposition algorithms, and deep-learning pipelines for monitoring vegetation, soil moisture, and environmental hazards using SAR (Sentinel-1, RISAT-1A) and optical (Sentinel-2, MODIS, Landsat) datasets.
Currently at Tufts University, I build scalable geospatial models that integrate satellite, climate, and socioeconomic datasets to study agricultural systems and environmental hazards. My recent work includes SAR–optical fusion, energy-based transformer models for crop biophysical parameter retrieval, and deep learning approaches for landslide and disease-risk analysis. Previously, I worked as a Geospatial Analyst at GalaxEye Space and earned my Ph.D. in Physics from Indian Institute of Technology (BHU), Varanasi.
Research Interests
SAR & Polarimetry
Polarimetric decomposition, scattering models, and InSAR for surface and biophysical parameter retrieval.
Optical–SAR Fusion
Multi-sensor fusion of Sentinel-1/2, RISAT-1A, MODIS, and Landsat data for vegetation and soil monitoring.
Machine & Deep Learning
Graph neural networks, deep learning, and foundation models for large-scale Earth observation analysis.
Environmental Hazards
Predictive modeling of dengue outbreaks, landslides, and disaster impacts using geospatial data.
Biophysical Retrieval
LAI, NDVI, RVI, and soil moisture estimation through radiative transfer models and ML algorithms.
Cloud Geocomputing
Google Earth Engine, HPC, and cloud-based pipelines for large-scale spatial analysis and integration.
Selected Publications
-
Science of Remote Sensing, 2026.
-
IEEE Geoscience and Remote Sensing Letters, 2024.
-
Remote Sensing of Environment, 2023.
-
International Journal of Remote Sensing, 2023.
-
International Journal of Remote Sensing, 2022.
Education
-
2018 – 2024
Ph.D. in Physics
Indian Institute of Technology (BHU) Varanasi, IndiaThesis: Development of Scattering Algorithm Through Polarimetric Decomposition Technique for Surface and Biophysical Parameters Estimation Using Machine Learning.
Degree awarded March 2024.
-
2012 – 2017
BS-MS Dual Degree (Physics)
Indian Institute of Science Education and Research (IISER), Bhopal, IndiaMajor: Physics (Cosmology). Master's thesis on CMB anisotropy and low-multipole anomalies.
Experience
-
Oct 2024 – Present
Postdoctoral Fellow
Tufts University · Medford, MA, USAMulti-scale geospatial modeling for environmental change, dengue outbreak prediction, and global landslide regime analysis using SAR, optical, and climate datasets.
-
Nov 2023 – Jul 2024
Geospatial Analyst
GalaxEye Space · Bengaluru, IndiaBuilt SAR interferometry (InSAR) pipelines, automated CCD/ISAR workflows, and developed UAV-SAR image-formation algorithms.
-
Jul 2018 – Nov 2023
Research Scholar
Indian Institute of Technology (BHU) Varanasi · IndiaDeveloped scattering models and SAR–optical fusion deep-learning algorithms (≥91% validation accuracy) for biophysical parameter retrieval.
-
Aug – Dec 2017
Junior Research Fellow
IISER Bhopal · IndiaStatistical and computational modeling of polymer translocation through nanopores using MCMC methods.
Awards & Honors
-
2018 – 2023
INSPIRE Fellowship (Ph.D.)
Department of Science & Technology, Government of India -
2012 – 2017
INSPIRE Scholar (BS-MS)
Department of Science & Technology, Government of India -
2012
Top 1% in Senior Secondary Examination
Uttar Pradesh State, India