Shubham Bhardwaj
PhD student at UT Austin; researcher in scientific machine learning
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PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting
February 1, 2026Introduces PHAST, a port-Hamiltonian-based architecture for stable long-horizon forecasting from position-only observations, decomposing Hamiltonian components and demonstrating results across thirteen q-only benchmarks.
Pathway Anchored Multimodal Clustering Reveals Circuit Level Signatures in Parkinson's Disease
December 1, 2025Multimodal clustering study revealing circuit-level signatures in Parkinson's disease (bioRxiv preprint, co-author).
Curvature Informed Furthest Point Sampling
November 1, 2024Paper on a curvature-informed strategy for furthest point sampling in 3D data.
Low-cost Robust Night-time Aerial Material Segmentation through Hyperspectral Data and Sparse Spatio-Temporal Learning
October 1, 2024Conference paper (ICONIP 2024) and arXiv posting on using hyperspectral data and sparse spatio-temporal learning for robust night-time aerial material segmentation.
US20230274563A1 — System and method for multi attribute based data synthesis (patent application)
August 1, 2023Patent application for multi-attribute synthetic data generation for fashion/apparel and related annotation/synthesis systems, assigned to Jio Platforms Ltd; lists Shubham Bhardwaj as an inventor.
US20230066119A1 — Automated imaging system for object footprint detection and a method thereof (patent application)
March 1, 2023Patent application describing an automated imaging system for extracting object footprints and other geospatial assets from imagery, assigned to Jio Platforms Ltd; lists Shubham Bhardwaj as an inventor.
MSc thesis (UT Austin)
January 1, 2022Master's thesis work at UT Austin (2022) involving Gaussian processes and related machine learning topics, supervised by Chandrajit Bajaj.