Google Scholar profile
Kevin J McNamara
AI and Quantum Research, McNamara Group. Research interests: AI, Quantum, Agentic, Robotics, Drones. This page mirrors the public Google Scholar profile so the record is readable without a Google account.
18
Citations
3
h-index
3
Patents granted
30
Applications published or pending
Papers and essays
The AI Shadow War: SaaS vs. Edge Computing Architectures (journal version)
Ternary Computing: The way classical computing should be designed
Banking 2.0: The Stablecoin Banking Revolution--How Digital Assets Are Reshaping Global Finance
The AI Shadow War: SaaS vs. Edge Computing Architectures
Demystifying AI agents: the final generation of intelligence
Exponential Shift: Humans Adapt to AI Economies
Neural Operating Systems
Granted patents
Method and system for automated classification of natural language data
Method and system for sentiment analysis of natural language inputs
Method and system for automating support services
Published applications
Systems and Methods for Generating Intranet Websites
Method and System for Artificial Intelligence Assisted Content Lifecycle Management
Method and system for capturing and storing machine learned quantitative classification of natural language data
Systems and methods for capturing sentiments and delivering elevated proactive user experience
Method and System for Sensitivity Analysis of Natural Language Input
System and methods for transforming display documents in response to facial conditions
Submitted · non-provisional applications
Method and System of removing language barriers from digital interface-generated objects
Method and System for Certifying Readiness of Rooms Using AI Agents
Method and System for Assessing Security Risk
Method and system for facilitating qualitative assessment of natural language data
System and method of measuring the clarity of human utterance using machine learning method of meta tagging human utterance to classification using artificial intelligence
Method and system for classifying support service issues using machine learning
Submitted · provisional applications
Method and System for Gradient-Free Knowledge Ingestion and Processing in Artificial Intelligence Systems
Method and System for Encoding Symbolic Knowledge Data as Sparse Ternary Hyperdimensional Vectors
Privacy-preserving AI utilization across institutions, employees & users
Integer factorization via discrete quantum Fourier analysis
Sparsifying KV-cache shim for secure, large-scale local & edge LLM serving
Method for quantum computing without quantum hardware
Memory-augmented generation with a specialized holographic processor
Holographic information processing & retrieval
Memory-augmented generation system
Hierarchical holographic encoding
Integrity-guarded holographic memory
Foundational system & methods for holographic memory-augmented retrieval
Guarded memory architecture for signal integrity & access control
Hierarchical multi-layered encoding & bidirectional querying
Latent relational pattern discovery using higher-order decompositions
System & methods for high-throughput holographic ingestion
Method for global pattern attention & similarity calculation
System & method for holographic neural inference
About this page
Titles, co-authors, venues, and citation counts are taken from the public Google Scholar profile and were last refreshed on September 20, 2026. Scholar itself can require a Google sign-in or block access on some networks, so this copy is kept on mcnamara-group.com. Granted patents and published applications were checked against USPTO documents on September 20, 2026. Submitted applications are listed from Scholar and from the firm's own records and have not yet been published by the USPTO. In total, 77 patent applications have been filed; the entries above are those indexed by Scholar plus the provisional filings supplied directly.