My core areas of interest include machine learning, generative AI, HPC, financial tech, biotech, and cybersecurity.
Publications
Rucha Dave, Sparsh Gupta, Benjamin Pugh, Sidney Taylor, David I Shuman, and Harry H. Behjat,
"Task Decoding from Functional Magnetic Resonance Imaging Using Spectral Graph Wavelets on High Resolution Cortical Graphs"
(under preparation)
Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru, Galen Shipman, and Patrick Diehl,
"From Legacy Fortran to Portable Kokkos: An Autonomous Agentic AI Workflow", https://arxiv.org/abs/2509.12443, Sep. 2025
(under review)
Sparsh Gupta, Kamalavasan Kamalakkannan, Maxim Moraru, Galen Shipman, and Patrick Diehl,
"From Legacy to Portable: An Agentic AI Workflow for Fortran Code Translation and Cross-Architecture Optimization",
Research Poster, Supercomputing '25, Nov. 2025
Sparsh Gupta, Debanjan Konar, and Vaneet Aggarwal, "A Scalable Quantum Non-local Neural Network for Image Classification",
https://arxiv.org/abs/2407.18906, July 2024 (presented at the AAAI QC+AI Workshop 2025)
Sparsh Gupta, "The Arrival of DNA Data Storage", 2021, Medium Article Link