Pawan has expertise in developing algorithms pertaining to geophysical inverse problems. In the past, he spearheaded research towards the establishment of a denoising model called super-virtual interferometry and developed robust methods for seismic full waveform inversion. His group is currently focused on developing novel deep-learning architectures for solving inverse problems in seismology.


  • geophysical signal processing
  • earthquake seismology
  • wave-equation based imaging
  • seismic interferometry
  • scientific machine learning


  • Postdoctoral Associate (Applied Mathematics)

    Massachusetts Institute of Technology (MIT), Cambridge, USA.

  • PhD (Geophysics), 2016

    Delft University of Technology (TU Delft), Delft, The Netherlands.

  • Master of Science and Technology (5-year Integrated, Applied Geophysics), 2012

    Indian Institute of Technology (IIT), Dhanbad, India.