A science-driven research collective advancing clean energy systems, computational modeling, and applied healthcare technologies — with real-world deployment and startup translation pathways.
Integrating nano-catalysts, selective membranes, and concentrated solar power. Approved for incubation at MSME Centre of Excellence, Indian Institute of Science (IISc), Bengaluru.
₹15,00,000 Ref. No: IDEAKR-026059 · IISc, BengaluruUrjawave (high-intensity PEM electrolyzer hydrogen platform) and Bioloop (CO₂-to-biofuel system) both received grants. Supported by Government of Karnataka, Startup Karnataka, and IIIT Dharwad Research Park.
₹3,00,000 Urjawave ₹2,00,000 · Bioloop ₹1,00,000Interview held at Suvarna Soudha, Belagavi. Bioloop featured as a carbon capture to biodiesel system — representing AoE's mission on national public media.
View Feature → DD Chandana · Suvarna Soudha, BelagaviOur work flows through three interlocking pillars — from energy systems engineering down to computational foundations and applied medical science.
Primary focus. Developing next-generation clean energy systems including green hydrogen production, BIOLOOP CO₂ capture architecture, and PEM-based hydrogen platforms.
Green Hydrogen · BIOLOOP · UrjawaveThe intellectual backbone. Bayesian systems, temporal inference, reinforcement learning, machine learning, and signal intelligence — applied modeling, not generic AI.
Bayesian Systems · Temporal ModelingApplied computational medicine. Cardiac arrhythmia modeling, advanced ECG and EEG signal processing, and Bayesian diagnostic frameworks built on our computational foundations.
Arrhythmia Modeling · ECG AnalysisBuilding clean energy infrastructure aligned with India's National Hydrogen Mission and National Biofuel Mission. From seawater electrolysis to CO₂-to-biofuel systems — real prototypes, real funding, real deployment pathways.
Computational modeling of cardiac arrhythmias, advanced EEG signal processing, and ECG analysis using probabilistic and Bayesian frameworks. Applied medicine powered by our mathematical foundations.
Bayesian series analysis, temporal inference systems, reinforcement learning, and mathematical frameworks. The theoretical backbone that makes our applied work rigorous — not generic AI, but deep modeling.
Ongoing essays, experiment notes, and technical drafts published as research progresses. Unfiltered. In-progress. Real.
All entriesInitial experimental results from the closed-loop biological energy system. Unexpected efficiency gains in the thermodynamic coupling stage.
EnergyConstructing informative priors using population-level ECG datasets. Early results show 18% improvement over frequentist baseline.
MedicalA mathematical framework for modeling long-range dependencies in non-stationary time series using hierarchical Bayesian models.
FoundationsModeling photovoltaic-electrolyzer coupling efficiency under variable irradiance conditions. Path toward 24-hour hydrogen production.
EnergyFor research collaborations, media, and general correspondence.
Direct contact for Bioloop — CO₂ capture to biofuel system inquiries.
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