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.
Interests
- seismology
- scientific machine learning
Education
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Postdoctoral Associate (Applied Mathematics)
Massachusetts Institute of Technology (MIT), Cambridge, USA.
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PhD (Geophysics), 2016
Delft University of Technology (TU Delft), Delft, The Netherlands.
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Master of Science and Technology (5-year Integrated, Applied Geophysics), 2012
Indian Institute of Technology (IIT), Dhanbad, India.