Following is a quick summary about me:

Current Role:
I am a Postdoctoral Researcher at CEA, LIST, Université Paris-Saclay, France, working on the development of Lagrangian Neural Networks, with the aim of coupling them with classical finite element (FE) solvers for faster simulation of nonlinear dynamical systems.

Research Interests:
My research interests lie in Structural Health Monitoring, Dynamical Systems, and Lithium-Ion Battery Modeling. I am particularly interested in integrating domain knowledge from these areas with tools from applied mathematics, machine learning, and signal processing to develop predictive models that are both effective and computationally efficient.

Background:
I come from a remote village named Chhinda, located in the Chhindwara district of Madhya Pradesh, India. After completing my Bachelor’s in Mechanical Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, I received a Trainee Scientist Fellowship from the Council of Scientific and Industrial Research (CSIR), India, to pursue a Master’s in Applied and Computational Mechanics at the Academy of Scientific and Innovative Research. My Master’s dissertation focused on the finite element analysis of composite-reinforced CNG storage pressure vessels.

I obtained my PhD from IIT Kharagpur, where I worked on data-driven structural health monitoring methods, and later joined IIT Madras as an Institute Postdoctoral Fellow, where my research focused on probabilistic modeling of the nonlinear mapping between voltammograms and the grain size of electrode material in Li-ion batteries.

Vision/Future:
I aim to develop robust computational methods that bridge physics-based modeling and data-driven modeling, with applications in energy storage, structural monitoring, and dynamical systems.

Hobbies:
Beyond research, I enjoy playing chess, badminton, and cricket; listening to Indian classical music; studying Vedic philosophy; cooking; and taking long walks.