Active Work · 2024–2026
Live projects across all three pillars. Every project listed has real funding, real data, or a real deployment pathway.
Integrating concentrated solar power, nano-catalysts, and selective membranes for seawater electrolysis. Approved for incubation at MSME Centre of Excellence, IISc Bengaluru. ₹15,00,000 funding secured. Ref: IDEAKR-026059.
High-intensity proton exchange membrane electrolyzer platform. Modelling PV-electrolyzer coupling efficiency under variable solar irradiance. NAIN 2.0 funded (₹2,00,000). Target: continuous 24-hour hydrogen production from seawater.
Informative priors from population-level ECG datasets for cardiac arrhythmia detection. 18% improvement over frequentist baseline in early trials. Expanding dataset scope and refining posterior approximation.
Hierarchical Bayesian temporal models applied to EEG signal processing. Long-range dependency modelling for non-stationary neural time series with clinical diagnostic applications in development.
Probabilistic ECG interpretation frameworks that surface uncertainty rather than suppressing it. Bayesian diagnostic formulations for robust clinical decision support, building on the arrhythmia detection baseline.
Mathematical framework for modelling long-range dependencies in non-stationary time series using hierarchical Bayesian models. Foundational theory underpinning both ECG arrhythmia and energy output prediction projects.
Purpose-built RL and ML frameworks for scientific modelling. Energy output prediction, cardiac signal classification, and solar irradiance forecasting. Precision tools — not generic AI.