I specialize in ambient noise tomography, inverse modeling, and high-performance computing. My work blends seismic imaging with modern parallel programming and AI-based optimization.
Email: Debajeet_Barman1@baylor.edu
I am a geophysicist pursuing my Ph.D. at Baylor University, with research collaborations at UT Austin and previous industry experience at Shell. My work focuses on seismic imaging and geophysical inverse problems, combining ambient noise tomography, full waveform inversion, and high-performance computing (CUDA, MPI).
I’m passionate about integrating machine learning into geoscientific workflows and developing scalable algorithms for crustal structure and velocity modeling. My projects include ambient noise analysis of the Suwannee Suture Zone, optimization of finite-difference operators, and neural network-based seismic inversion techniques.