Research Sparsh Gupta
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Research

My core areas of interest include machine learning, generative AI, HPC, hardware, fintech, biotech, and cybersecurity.

fMRI Task Decoding Paper

Task Decoding from Functional Magnetic Resonance Imaging Using Spectral Graph Wavelets on High Resolution Cortical Graphs

Rucha Dave, Sparsh Gupta, Benjamin Pugh, Sidney Taylor, David I Shuman, and Harry H. Behjat
under preparation
LANL Kokkos Paper

From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow

Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru, Galen Shipman, and Patrick Diehl
arXiv, Sep. 2025
under review
SC25 Poster

From Legacy to Portable: An Agentic AI Workflow for Fortran Code Translation and Cross-Architecture Optimization

Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru, Galen Shipman, and Patrick Diehl
Research Poster, Supercomputing '25, Nov. 2025
Quantum Neural Network Paper

A Scalable Quantum Non-local Neural Network for Image Classification

Sparsh Gupta, Debanjan Konar, and Vaneet Aggarwal
arXiv, July 2024 (presented at the AAAI QC+AI Workshop 2025)
DNA Data Storage Article

The Arrival of DNA Data Storage

Sparsh Gupta
Medium, 2021
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