Profile

• Institutional Affiliation

  National Centre for Earth Science Studies

  
  
• ORCID

  0000-0003-1467-0606

  
  
• Website

  https://www.ncess.gov.in/institute/staff/scientists/crustal-processes-crp-group-dr-chandra-prakash-dubey-profile.html

  
  
• Biography

  My research activity is mainly focused on high-resolution joint modeling and inversion of potential field constrained with other data sets at various scales a few kilometers of depth scale to lithospheric mantle scale modeling. I mainly use in-house developed algorithms for inversion producing high-end geologically consistent results, whereas I use commercial Software like Oasis-Montaz, IGMAS+, LitMod2D, and Geomodeller for the geodynamic problems at deeper depths in combinations of seismic, potential field, and EM, integrating seismic, and geology data (for example Koyna Induced Reservoir seismicity and Bay of Bengal). My main focus has been on developing practical algorithms for inverting gravity, magnetic and full gravity gradient tensor data sets to reconstruct the three-dimensional distribution of physical properties using Machine Learning (ML) and Artificial Intelligence (AI). I have been actively working on individual inversion methods as well as joint and cooperative strategies for inverting multiple sets of geophysical and geological data. I have worked extensively on enhanced visualization of three-dimensional arrangements of complex geometries using an interdisciplinary geophysical approach and to understand the mechanism of deeper subsurface structures associated with lithosphere and the cause of mantle deformation using a density model in the region of the Bay of Bengal in order to understand intricate tectonics processes. My recent research output from ML/AI delivers the unique application of SPoDEA (b-Spline Polynomial Approximation using Differential Evolution Algorithm) to model the heterogeneous sedimentary basin and develop the numerical algorithms for a better understanding of full gravity gradient tensor and their characteristics towards complex geometries using optimization techniques of PSO, might be useful for locating the natural resources.

  
  
• Interests

  Computational Science
  Deep Earth Interior
  Education & Outreach
  Long Term Tectonic Deformation
  Short Term Crustal Deformation

  
  
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