About me
I am a postdoctoral researcher in the Subsurface Imaging Lab at Utah State University, working with Prof. Brady R. Cox. I develop physics-based forward models and inversion methods that turn surface-wave measurements, from geophones to fiber-optic (DAS) cables, into reliable images of the ground beneath our infrastructure.
I earned my Ph.D. from IIT Madras as a Prime Minister's Research Fellow and received the Institute Research Award for my dissertation. My work combines theory, field experiments and open-source MATLAB/Python tools.
Let’s connect and explore opportunities for collaboration and knowledge exchange!
Research interests
Fast, accurate forward models (HTLM and semi-analytical wavefields) for Rayleigh, Love and Lamb waves in layered media.
Effective- and predominant-mode inversion that takes the guesswork out of mode identification.
Distributed Acoustic Sensing (DAS): turning fiber-optic cables into dense seismic arrays for site characterization.
Current projects
🛠️ Joint Vs and damping estimation
from surface-wave dispersion and attenuation.
🔊 Developing DAS-based active and passive surface-wave methods for dense subsurface characterization.
🖥️ Developing physics-based forward modeling and automated VCPM/RCPM inversion tool.
Education
Indian Institute of Technology Madras, Chennai, India (Jul 2019 – Jul 2024)
Ph.D. (PMRF) in Civil Engineering, Specialization in Geotechnical Engineering
Thesis :: Analysis of Surface Wave Propagation Through Layered Media
National Institute of Technology Rourkela, India (Aug 2017 – Jul 2019)
M. Tech. in Geotechnical Engineering,
Thesis :: Numerical Analysis of Partially Encased Floating Stone Column
Maulana Abul Kalam Azad University of Technology, Kolkata, India (May 2013 – Jul 2017)
B. Tech. in Civil Engineering
Highlights
This study presents a radial-component predominant-mode (RCPM) inversion framework designed for DAS-based surface-wave analysis, considering source–receiver directivity and modal sensitivity of the Rayleigh-wave radial component.
During deep subsurface exploration, modal osculation occurs due to high impedance contrast, which leads to mode misidentification. This paper proposed predominant mode inversion to address and overcome this challenge.
This paper proposes effective mode inversion framework for active surface wave analysis, addresses near-field effect, modal superposition and mode kissing.
This paper proposes a high-resolution dispersion imaging method using Modified S-transform. It effectively processes noiseless and noisy records.
In this paper, we showed that the spectral whitening can adequately eradicate most of the shortcomings associated with different wavefield transformation techniques.
I have started a new role as a postdoctoral researcher. My research will focus on viscoelastic modeling, joint inversion, and Distributed Acoustic Sensing (DAS).
