Applied Research Portfolio
Applied AI and Edge Intelligence
Active SBIR proposals applying Physics-Informed Neural Networks to Army, NASA, and Navy programs — alongside core capabilities in edge ML, battery diagnostics, and physics-constrained modeling.
Proposed programs
Active SBIR Proposals
The following programs are proposed SBIR Phase I efforts currently under agency evaluation. Technical details are presented at the capability level.
Depot-Doctor
Battery Diagnostics
State-of-health estimation and remaining-useful-life prediction for Army 6T battery systems. Physics-Informed Neural Networks embed electrochemical constraints directly into the model — providing physics-grounded predictions for depot-level diagnostic workflows where black-box ML is not acceptable.
Physics-Informed Neural Networks · 6T Battery SoH
Swarm-Doctor
Spacecraft Health
State-of-health monitoring across spacecraft constellations, applying Physics-Informed Neural Networks to satellite power and battery systems. Designed for fleet-level prognostics where individual sensor data is sparse and physics constraints must compensate for incomplete observability.
Physics-Informed Neural Networks · Constellation SoH
SHADOW
Hypersonic Analysis
SPIKAN-Accelerated Hypersonic Analysis, Design, Optimization Workflow. A PINN-based framework for the analysis, design, and optimization of hypersonic systems — reducing the high-fidelity simulation burden by embedding physical constraints directly into the learning process.
Physics-Informed Neural Networks · SPIKAN · Hypersonics
Capability foundations
Underlying Technical Domains
Battery health diagnostics
State-of-health and remaining-useful-life estimation for battery systems, with safety-first modeling assumptions and maintenance decision support.
Edge ML and sustainment intelligence
Deployment-aware inference patterns for constrained environments, disconnected operations, and field-level prognostics.
Physics-informed modeling
Hybrid approaches that combine first-principles domain constraints with machine learning for systems where black-box predictions are not acceptable.
Secure transition documentation
Architecture notes, validation evidence, and operational guidance written for technical reviewers, safety assessors, and integration partners.
Collaboration model
Work described at capability level, not contract level
Engagements are scoped around capability gaps, not retrofitted to existing program structures. Technical depth is available for teaming partners who need architecture discussions under NDA.