CV

Education

• Ph.D in Computational Analysis and Modeling, Lousiana Tech University, 2021
• M.S. in Applied Mathematics, South Asian University, 2015
• B.S. in Mathematics, Cotton College, 2013

Work experience

• Postdoctoral Research Associate, 2022 - ongoing
  • Brown University

Skills

• Programming Languages: Python, Jax, PyTorch, Fortran, Fenics, MATLAB, Octave.

• Statistical Packages: R, SAS

• HPC enviroment: OSCAR, Argonne Theta (KNL+GPU) nodes

• Scheduler: Slurm, Cobalt

Publications

Integrating neural operators with diffusion models improves spectral representation in turbulence modeling

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

An Artificial Neural Network Method for Simulating Soliton Propagation Based on the Rosenau-KdV-RLW Equation on Unbounded Domains.

Mitigating spectral bias in neural operators via high-frequency scaling for physical systems

XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change

XAI4Extremes: An explainable AI framework for understanding extreme-weather precursors

A physics-informed neural network method for thermal analysis in laser-irradiated 3D skin tissues with embedded vasculature, tumor and gold nanorods.

TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers

Physics-Informed Deep Neural Operator Networks

Learning bias corrections for climate models using deep neural operators

Neural network method for solving nonlocal two-temperature nanoscale heat conduction in gold films exposed to ultrashort-pulsed lasers

A New Artificial Neural Network Method for Solving Schrödinger Equations on Unbounded Domains

Neural Network Method for Solving Parabolic Two-Temperature Microscale Heat Conduction in Double-Layered Thin Films Exposed to Ultrashort-Pulsed Lasers

Gradient preserved method for solving heat conduction equation with variable coefficients in double layers

Talks

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks

April 17, 2025

Talk at East Coast Optimization Meeting (ECOM), 2025, George Mason University Arlington, Virginia (USA), Arlington, VA, USA

Learning bias corrections for climate models using deep neural operators

July 07, 2023

Talk at Applied mathematics symposium: artificial intelligence meets fluid, Zoom, IIT Guwahati, IIT Hyderabad and VIT, India

Learning bias corrections for climate models using deep neural operators

April 22, 2022

Talk at AAAI 2023 Spring Symposium Series, San Francisco, California

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

April 04, 2022

Talk at Machine Learning + X, Crunch Seminar, Brown University, Providence, RI, USA

Applications on Riemann Integration and Metric Space

December 23, 2021

Talk at Applications on Riemann Integration and Metric Space (WARIMS-2021), department of basic sciences, school of technology, Assam Don Bosco University, Zoom, Assam Don Bosco University, India

Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers

November 01, 2021

Talk at Computational Mathematics and Machine Learning Workshop, Lorentz Centre: Netherlands, Zoom

Neural Network Method for Solving Parabolic Two-Step Microscale Heat, Conduction in Double-Layer Thin Films Exposed to Ultrashort-Pulsed Lasers

July 23, 2021

Talk at Machine Learning + X, Crunch Seminar, Brown University, Providence, RI, USA

Teaching

TA- APMA 2070

TA- APMA 2070

Teaching Assistant- Deep Learning for Scientists & Engineers

Applied Mathematics - Directed Reading Program Mentor

Physics 209

Physics 2611/2621

Additional Certificate

ATPESC 2022, Argonne Training Program on Extreme-Scale Computing, 2022.

Honors and Awards

• Harry J. Gaston, Jr. Memorial Scholarship in Engineering, Sept 2020 – April 2021
• College of Engineering and Science Scholarship, Louisiana Tech University, Sep 2019 – Aug 2020
• TA of the Year, Louisiana Tech University, 2018–2019
• College of Engineering and Science Scholarship, Louisiana Tech University, Nov 2018 – Jul 2019
• Mercedes-Benz Endowed Scholarship, Louisiana Tech University, 2017–2018
• Highest Cumulative Grade Point Average, South Asian University, 2013–2014
• 3rd Position, 2nd South Asian Karate Championship, Bangalore, 2010

Service and leadership

Journal Reviewer

• Journal of Computational Physics (Elsevier)
• Engineering Applications of Artificial Intelligence (Elsevier)
• Neural Computation
• International Journal of Applied Mechanics and Engineering
• Neurocomputing