Srinivasa Rao Gangumalla

Employment

• Indian Institute of Technology Bombay Associate Professor
  2025 - Present
• Indian Institute of Technology Bombay Assistant Professor
  2023 - 2025
• Indian Institute of Technology (Indian School of Mines), Dhanbad Assistant professor
  2016 - 2023

Education

• Indian Institute of Technology Bombay PhD
  2010 - 2015
• Andhra University M.Sc (Tech)
  2006 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Ichnofacies model of a tide‐dominated transgressive topographically controlled embayment system
  Sedimentology 2026 DOI: 10.1111/sed.70121
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• Reconstructing GRACE-Terrestrial Water Storage Anomalies Using CNN-LSTM Neural Networks for Effective Drought Characterization in Major Indian River Basins
  2025 DOI: 10.5194/egusphere-egu25-6356
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• Estimating coal proximate parameters and Gross Calorific Value from geophysical logs in Talcher coalfield using multi-layer perceptron, multi-output regression, and ensemble machine learning
  Journal of Earth System Science 2025 DOI: 10.1007/s12040-025-02517-1
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• Cluster analysis of geophysical data for geology differentiation in Agnigundala mineralized belt of Cuddapah Basin, India
  Journal of Earth System Science 2025 DOI: 10.1007/s12040-024-02482-1
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• Enhancing Thin Coal Seam Detection in Eastern Indian Coalfields Using ICWT-Decon-Based Seismic Attributes and Acoustic Impedance Inversion
  Minerals 2024 DOI: 10.3390/min14090920
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• A fuzzy C-means clustering approach for petrophysical characterization of lithounits in the North Singhbhum Mobile Belt, Eastern India
  Acta Geophysica 2024 DOI: 10.1007/s11600-024-01402-7
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• Bridging the Temporal Gaps in GRACE/GRACE–FO Terrestrial Water Storage Anomalies over the Major Indian River Basins Using Deep Learning
  Natural Resources Research 2024 DOI: 10.1007/s11053-024-10312-w
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• 3D Inversion of Gravity and Aeromagnetic Data over the Western North Singhbhum Mobile Belt, Eastern Indian Shield, for Delineating Prospective Sulfide (Au) Mineralization Zones
  Natural Resources Research 2023 DOI: 10.1007/s11053-023-10241-0
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• Multi-Scale Potential Field Data Integration Using Fuzzy C-Means Clustering for Automated Geological Mapping of North Singhbhum Mobile Belt, Eastern Indian Craton
  Minerals 2023 DOI: 10.3390/min13081014
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• Automatic lithological mapping from potential field data using machine learning: a case study from Mundiyawas-Khera Cu deposit, Rajasthan, India
  Acta Geophysica 2023 DOI: 10.1007/s11600-023-01151-z
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