Our research concentrates on problem spaces where fundamental advances can enable new operational capabilities—working at the intersection of theoretical insight and practical application.
Signal & Spectrum Analysis
We explore novel methodologies for detection, characterization, and interpretation across complex electromagnetic environments. Our research addresses challenges in signal extraction from contested and congested spectral conditions, developing approaches that extend beyond conventional processing limitations.
Multi-Phenomenology Sensing
Research into architectures that integrate diverse sensing modalities—electromagnetic, electro-optical, acoustic, and beyond—to achieve detection and characterization capabilities exceeding single-phenomenology approaches. We investigate fusion methodologies, distributed sensing constructs, and adaptive collection frameworks.
Autonomous Decision Systems
Investigation of decision frameworks enabling autonomous and semi-autonomous systems to operate effectively in uncertain, dynamic, and contested environments. Our work spans coordination behaviors, trust calibration, and approaches to human-machine teaming that preserve appropriate human oversight.
Computational Intelligence
Development of advanced computational methods—including machine learning approaches—tailored to defense-relevant problem classes. We focus on applications where conventional techniques encounter fundamental limitations, pursuing architectures suited to sparse data, adversarial conditions, and high-consequence decisions.
Low-Observable Detection
Novel approaches to detection and tracking in environments designed to defeat conventional sensing methods.
Spectral Coexistence
Methodologies for operating effectively in congested and contested electromagnetic environments.
Distributed Coordination
Frameworks enabling effective multi-agent operation without centralized control dependencies.
Adaptive Processing
Systems that modify collection and processing approaches based on environmental conditions and mission context.
Cross-Domain Fusion
Integration of information across sensing phenomenologies and intelligence disciplines.
Resilient Architectures
System designs that maintain capability under degradation, denial, and adversarial interference.
We pursue research with both theoretical rigor and operational relevance—ensuring our work addresses real capability needs while advancing fundamental understanding. Our independence allows exploration unconstrained by near-term programmatic pressures.
- First-principles analysis of problem fundamentals
- Prototype development for concept validation
- Realistic test conditions reflecting operational environments
- Documentation supporting technology transition
- Protection of intellectual property and novel approaches