Research Mission & National Interest

2. Well Positioned to Advance the Endeavor

The applicant has built, over a sustained period of independent research, a complete ecosystem of governance architectures spanning formal mathematical foundations (Dempster-Shafer trust fusion, four-level authority state machines with hysteresis), patent-filed intellectual property (four U.S. provisional applications), open reproducible artifacts (eighteen Zenodo DOIs, fifteen SSRN papers), hardware platform designs across five operational domains (defense, automotive, maritime, critical infrastructure, and orbital), and nineteen interactive simulations producing 2,800+ structured experimental runs with zero unsafe actions. This body of work demonstrates not a single publication or proof-of-concept, but a multi-year research program with the technical depth, publication record, and implementation evidence to continue advancing authority-governed autonomy as a field within the United States. The cross-domain portability across ten domains, defense (BLADE-EDGE, DoDD 3000.09), civilian transportation (BLADE-AV, ISO 26262 ASIL-D), maritime surveillance (BLADE-MARITIME, MIL-STD-810G), critical infrastructure (BLADE-INFRA, SIL 3 / NERC CIP), orbital (BLADE-SPACE, NASA EXPAND.3.S26B aligned, TRL 2-3 Preliminary Design), counter-UAS (BLADE-CUAS, EO 14305 and the FY26 NDAA Safer Skies Act), agentic AI (BLADE-AGENT-HSM, the hardware root of trust for autonomous AI agents aligned with the CISA/NSA/Five Eyes agentic-AI guidance and FY26 NDAA Sections 1513 and 6601), and swarm autonomy (BLADE-SWARM, attritable autonomous swarms with Byzantine-fault-tolerant authority governance aligned with DoDD 3000.09, the FY26 NDAA, and the NIST AI RMF), and the IT/OT boundary (BLADE-INFRA-OT, fail-closed cross-boundary OT command adjudication aligned with NIST SP 800-82, ISA/IEC 62443, and NERC CIP), achieved on the same governance pipeline, is evidence that the applicant's architectures address fundamental safety principles, not narrow application-specific designs.

Evidence of positioning to advance this endeavor:

• Independent external citations (2): SSRN paper AI-Enabled Military Decision-Making and Escalation Risk: Human-Machine Command Authority in Great Power Competition (SSRN ID 6082847, January 2026) cited in Hernandez, J. (2026), The Cascade Protocol (Pomona College, Department of Economics), ISBN 979-8195946579, DOI 10.5281/zenodo.20113664, Reference #36 of 36, alongside the U.S. Department of War AI Strategy (January 2026), King's College London, US Army War College, Harvard Law School PILAC, Lieber Institute West Point, Carnegie Endowment for International Peace, Atlantic Council, and NDU Press. Separately, SSRN paper ERAM: Escalation Risk in AI-Enabled Command and Control (SSRN ID 6176802) cited as Reference #4 in "The Ethics of AI in U.S. Warfare," LexAI Journal, University of Toronto Law and Ethics of Artificial Intelligence Students' Association (April 2026). Third-party independent adoption of the applicant's published research within months of release.
• 4 U.S. provisional patent submissions (2026) for original governance architectures (HMAA, CARA, SATA, FLAME)
• 14 DOI-registered research artifacts on Zenodo with Georgetown University affiliation, including 4 full research papers with simulation data and hardware specifications
• 15 published papers on AI governance, autonomous systems, and national security (SSRN)
• Faculty co-authored research: "Authority-Governed Drive-by-Wire Safety Architecture for Autonomous Vehicles: A Cross-Domain Governance Framework with Industry Validation", co-authored with Dr. Victor Lian (Lynn University), published on SSRN (Abstract ID 6657819), with both authors verifiable on the public SSRN record, demonstrating collaborative research with academic faculty in the autonomous-vehicle safety domain
• Standardized academic assessment: Peregrine Global Services MBA Outbound Examination, 94.62% / 99th percentile against the U.S. comparison data pool (sample sizes 23,490-59,790 MBA graduates per topic, four-year rolling cohort), administered May 10, 2026; 99th percentile in 14 of 16 topic areas including Business Finance, Strategic Management, Quantitative Research and Statistics, Legal Environment of Business, and Global Dimensions of Business, demonstrating cross-domain business proficiency relevant to managing the proposed research endeavor at scale
• Elected Georgetown University leadership role: Elected Outreach & Partnerships Officer, Georgetown University Cybersecurity Society (GUCS), 2026-2027 academic year, confirmed May 11, 2026 by Georgetown School of Continuing Studies. Peer-elected role at the Georgetown SCS student cybersecurity organization, providing institutional engagement at Georgetown ahead of M.P.S. Applied Intelligence matriculation and aligning the applicant's external research program (AUTHREX governance for autonomous systems) with the Georgetown cybersecurity community.
• Published books: Ten-volume technical reference series across three book series, The Authority Equation (3 volumes), The Authority Discipline (4 volumes), and Autonomous Authority (3 volumes), released under the Authority & Architecture publisher imprint, distributed via Amazon and IngramSpark in print and ebook formats. All volumes assigned ISBNs registered through Bowker. The Authority Equation trilogy validated across 8,415 simulation runs spanning 101 scenario configurations. Full catalog at authority-architecture.me
• 19 interactive technical simulations implementing the governance architectures with real-time computation
• 12 physical research platforms: Authority-Governed Rover Testbed (37 components, ~$484, 350 simulation runs, TLA+ verified), Authority-Governed UAV Platform (52 components, ~$4,200, 250 simulation runs, MAVLink/HIL integration), BLADE-EDGE Governance Node (72 components, ~$139K, defense-grade, MIL-STD-810G), BLADE-AV Governance Node (62 components, ~$16K, ISO 26262 ASIL-D, 1,200 simulation runs), BLADE-MARITIME Governance Node (84 components, ~$43K, IP68/MIL-STD-810G, maritime surveillance with hydroacoustic and MAD), BLADE-INFRA Governance Node (92 components, ~$12K, SIL 3/NERC CIP, ICS/SCADA critical infrastructure protection), BLADE-SPACE Governance Node (91 components, ~$505K, TRL 2-3 Preliminary Design, 6U+ SmallSat, RTG4 FPGA + Aitech SBC hot redundancy, NASA EXPAND.3.S26B aligned)
• BLADE-CUAS Governance Node (counter-UAS authority governance, ~$43.5K reference BOM, TRL 2-3 hardware / 3-4 simulation, sixth BLADE platform): four-tier HMAA (T3/T2/T1/T0) with federal-SLTT handoff, Dempster-Shafer multi-modal consensus across radar, RF, EO/IR, Remote ID, and LIDAR, and an ECDSA P-256 court-admissible evidence chain aligned with the foundation requirements of Fed. R. Evid. 901/902/803(6). Reference implementation positioned for the multi-agency C-UAS authority structure established by Executive Order 14305 and the FY26 NDAA Title LXXXVI Safer Skies Act, with FEMA Counter-UAS Grant Program ($500M) deployment relevance.
• BLADE-AGENT-HSM Hardware Root of Trust (agentic-AI hardware root of trust, ~$199 reference BOM, TRL 2-3 silicon / 3-4 emulator, seventh BLADE platform and the first hardware root of trust in the family): a tamper-evident hardware companion to the AUTHREX-AGENT software shim that signs the agent audit ledger with non-exportable ECDSA P-256/P-384 keys in an NXP EdgeLock SE051 (CC EAL6+) secure element, holds the four-tier HMAA authority state in an Infineon SLB 9670 TPM 2.0 (FIPS 140-2 Level 2) PCR bank, derives per-tool HKDF authorization tokens, and runs a multi-modal tamper cascade (active PCB mesh, voltage-glitch, thermal) that zeroizes keys and latches the device to T0. Five-opcode 64-byte ABI; USB-A stick and M.2 Key-E module from one 4-layer PCB. Verified by an adversarial high-assurance emulator across 275 deterministic checks with a P-384 signed golden-trace anchor. Positioned as a direct response to the CISA, NSA AI Security Center, and Five Eyes joint guidance Careful Adoption of Agentic AI Services (1 May 2026) and FY26 NDAA Sections 1513 and 6601.
• BLADE-SWARM Governance Node (attritable swarm authority governance, ~$1,333 per node reference BOM, TRL 3-4 simulator and formal specification / TRL 2 physical testbed design, eighth BLADE platform): authority governance for decentralized autonomous swarms at N=10 (physical testbed), N=50 (combined operation), and N=500 (DAWG-class). Each agent runs a Byzantine-fault-tolerant two-phase consensus gated by SATA peer trust, the four-tier HMAA authority state, and weighted MAIVA voting before the swarm commits, tolerating up to f = (N-1)/3 compromised agents per quorum with a quorum-intersection safety bound, Sybil resistance, and safe-halt-by-default under denied or degraded RF. Per-node ECDSA P-256 root of trust (ATECC608B) feeds a hash-chained distributed audit ledger; TLA+ formal specification with five safety invariants and three liveness properties. It governs decision authority and audit; it does not govern weapons. Aligned with DoDD 3000.09, the FY26 NDAA, and the NIST AI Risk Management Framework.
• BLADE-INFRA-OT Governance Node (authority-governed IT/OT bridge, ~1U fanless reference design, TRL 2-3 hardware / 3-4 simulation, ninth BLADE platform and the operational-technology companion to BLADE-INFRA): a fail-closed, bump-in-the-wire governance appliance at the segmentation boundary between corporate IT networks and operational-technology control assets, adjudicating each cross-boundary command to propagate, hold for deliberation, or isolate across four OT authority regimes through the AUTHREX pipeline, with a seed-deterministic SHA-256 tamper-evident audit ledger, aligned with NIST SP 800-82, ISA/IEC 62443, and NERC CIP.
• BLADE-FINANCE Governance Node (authority governance for financial-sector AI decision systems, ~$9,228 reference design, TRL 3-4 simulation / TRL 2 hardware, tenth BLADE platform and the first in the economic-security domain): a software-enforced authority-arbitration node that places a hardware-anchored checkpoint between automated transaction-decision models and consequential financial actions, routing each transaction through an eight-stage AUTHREX pipeline to autonomous clearance, supervised review, elevated confirmation, or manual hold across a four-tier authority model, with population-state coordination, a retrospective stigmergic swarm-review module, and a SHA-256 canonical-form evidence chain, aligned with the U.S. Treasury Financial Services AI Risk Management Framework, the NIST AI RMF, and EO 14179; synthetic data only, not deployed in any financial institution.
• 7 governance architectures forming a unified research framework: SATA (trust), HMAA (authority), CARA (recovery), MAIVA (multi-agent), FLAME (escalation), ADARA (deception), ERAM (risk assessment)
• M.P.S. Applied Intelligence, Georgetown University (STEM-designated, in progress)
• B.Sc. Computer Science Engineering (USF) and MBA (Lynn University, 4.0 GPA)
• Hayes Memorial Scholarship awarded by The Institute of World Politics Admissions Committee (April 27, 2026), a competitive merit-based award per the official offer letter "awarded to the best applicants in the incoming class," for the M.A. Strategic Intelligence Studies program at IWP, a Washington, D.C. graduate school of national security, intelligence, and international affairs
• Authorized to work in the United States, with employment in ITAR/EAR-regulated U.S. cloud infrastructure
• 140+ professional credentials from 25+ institutions (IEEE, AIAA, ACM, AAAI, INFORMS, NDIA, Sigma Beta Delta, NIST, CompTIA, CISSP)
• Active industry engagement across defense, manufacturing, and technology sectors: SHOT Show (2024, 2026), EMO Hannover 2023 (Germany), SupplySide West 2025, Israel Tech Week 2025, Miami AI Hub community, NBAA Regional Forums (2024, 2025, 2026), Defense Technology Alliance Roundtable at Israel Tech Week Miami 2026 (registration confirmed), and three abstract submissions to defense-relevant technical conferences: NDIA 2026 Emerging Technologies for Defense Conference & Exhibition (Washington, D.C., September 9-10, 2026, registration confirmed; abstract submitted under "Game-Changing Emerging Technologies" track, Submission ID 2421887), AIAA SciTech Forum 2027 (Orlando, FL, January 11-15, 2027; technical paper submitted under "Uncrewed and Autonomous Systems: Certification Concepts" track, Control ID 4555075, notification expected August 24, 2026), and SpaceCom 2027 (speaker submission for "Trust-Proportional Authority: Solving the Governance Gap for Autonomous Space Systems")

3. Benefit to the United States

Governance architectures for autonomous systems are increasingly important for U.S. national security, critical infrastructure resilience, and responsible deployment of advanced AI systems. Developing technical frameworks that maintain human oversight while enabling advanced automation contributes to safe adoption of autonomous technologies across strategic sectors.

The United States benefits from this work because:

• Fills a critical gap identified by Congress and NHTSA: The SELF DRIVE Act of 2026 (H.R. 7390) requires manufacturers to maintain cybersecurity plans addressing "false vehicle control commands", but no standardized, hardware-enforced governance architecture exists to implement this requirement. BLADE-AV provides an open, simulation-validated reference architecture with formal Dempster-Shafer trust fusion, hardware fail-safe relay gating, and 1,200 zero-unsafe-action simulation runs that directly addresses the safety case, cybersecurity, and fallback behavior requirements outlined in H.R. 7390 and NHTSA's AV STEP framework.
• Supports U.S. defense modernization, automotive safety, maritime security, critical infrastructure resilience, and orbital autonomy: Architectures address DoD Directive 3000.09 (defense), JADC2 command authority, NIST AI Risk Management Framework, ISO 26262 ASIL-D functional safety (BLADE-AV), NHTSA ADS requirements, MIL-STD-810G / MIL-STD-461G maritime defense standards (BLADE-MARITIME), SIL 3 / NERC CIP / FIPS 140-2 critical infrastructure standards (BLADE-INFRA), and NASA SBIR EXPAND.3.S26B autonomous spacecraft health management alignment (BLADE-SPACE, TRL 2-3). Cross-domain portability across ten domains (defense ↔ automotive ↔ maritime ↔ critical infrastructure ↔ orbital ↔ counter-UAS ↔ agentic AI ↔ financial) on the same governance pipeline demonstrates the architectures are domain-agnostic safety principles.
• Enables resilient autonomous operations: SATA, HMAA, and CARA provide structured trust evaluation, authority control, and recovery enforcement applicable to contested-environment platforms including autonomous vehicles, UAVs, maritime autonomous surface vehicles, and robotic systems.
• Prevents autonomous escalation risk: FLAME introduces mandatory deliberation windows in autonomous command chains, directly relevant to preventing AI-driven conflict escalation in multi-domain military operations.
• Protects against adversarial AI manipulation: ADARA detects deceptive inputs in command-and-control systems, mitigating the risk of adversarial sensor spoofing and AI manipulation in safety-critical environments.
• Demonstrated through physical systems across ten domains: Twelve research platforms spanning defense (BLADE-EDGE, ~$139K, MIL-STD-810G), civilian transportation (BLADE-AV, ~$16K, ISO 26262 ASIL-D), maritime surveillance (BLADE-MARITIME, ~$43K, IP68, MIL-STD-810G, hydroacoustic + MAD), critical infrastructure (BLADE-INFRA, ~$12K, SIL 3, NERC CIP, ICS/SCADA), orbital (BLADE-SPACE, ~$505K, TRL 2-3 Preliminary Design, NASA EXPAND.3.S26B aligned), counter-UAS (BLADE-CUAS, ~$43.5K, EO 14305 / FY26 NDAA Safer Skies Act), and agentic AI (BLADE-AGENT-HSM, ~$199, a tamper-evident hardware root of trust for autonomous AI agents and the hardware companion to the AUTHREX-AGENT software shim, aligned with the CISA/NSA/Five Eyes agentic-AI guidance and FY26 NDAA Sections 1513 and 6601), and swarm autonomy (BLADE-SWARM, ~$1,333/node, attritable autonomous swarms with Byzantine-fault-tolerant authority governance, TRL 3-4), the IT/OT boundary (BLADE-INFRA-OT, ~1U fanless, fail-closed cross-boundary OT command adjudication, TRL 2-3 hardware / 3-4 simulation), the financial sector (BLADE-FINANCE, ~$9K BOM, authority governance for financial-sector AI decisions under the U.S. Treasury FS AI RMF, TRL 3-4 simulation / 2 hardware), plus rover and UAV testbeds, with nineteen interactive simulations producing 2,800+ structured experimental runs and zero unsafe actions. Ten domain instantiations on the same governance pipeline, defense weapons governance, civilian drive-by-wire authority, maritime autonomous surface vehicle governance, critical infrastructure protection, and orbital governance, demonstrate cross-domain portability across five distinct operational domains on a single architectural foundation.
• Anchors autonomy authority in hardware for the agentic-AI era: In 2026 the United States and its closest partners moved from encouraging agentic AI to governing it. The CISA, NSA AI Security Center, and Five Eyes joint guidance Careful Adoption of Agentic AI Services (1 May 2026) and FY26 NDAA Sections 1513 and 6601 call for hardware-anchored identity, non-repudiable audit, and least-privilege authority for autonomous AI agents, controls that software alone cannot satisfy because the software is the attack surface. This research contributes a two-piece answer: the AUTHREX-AGENT software shim runs the authority lifecycle, and the BLADE-AGENT-HSM hardware root of trust makes that lifecycle non-forgeable by moving the signing keys, the authority tier, and the audit ledger into tamper-evident silicon. A hardware root of trust for the authority of autonomous AI is a matter of substantial national interest, and this contribution is offered as an open, reproducible reference design at research-demonstrator maturity (TRL 2-3 silicon / 3-4 emulator) with no claim of any government endorsement, certification, or affiliation.
• Addresses the U.S.-China autonomous vehicle competition: Transportation Secretary Duffy has stated "America must lead the way in transportation innovation. If we don't, our adversaries will fill the void." This research, conducted within the United States, published through open platforms, and aligned with U.S. regulatory frameworks, contributes governance architecture specifications that strengthen U.S. technical leadership in autonomous systems safety, from autonomous vehicles (BLADE-AV) to maritime surveillance (BLADE-MARITIME) to defense weapons governance (BLADE-EDGE), at a critical moment when Congress and federal agencies are establishing new safety and governance standards.
• Grounded in U.S. institutions: Research is conducted within Georgetown University (STEM-designated program), published through U.S.-accessible platforms (Zenodo, SSRN), and aligned with U.S. regulatory frameworks (NIST, DoD, IEEE, NHTSA, ISO 26262, MIL-STD-810G, MIL-STD-461G).
• Independent contribution: Independent research enables continued advancement of this nationally important domain across multiple sectors without dependency on a single employer's narrower scope.

Broader National Benefit: This research addresses urgent public benefit and public safety needs that no single employer could reasonably sponsor. The work spans defense (DoDD 3000.09 autonomous weapons), automotive safety (NHTSA data on 1,429 AV incidents 2021-2025), maritime security, and critical infrastructure protection simultaneously. As independent research crossing multiple sectors, the work is intrinsically cross-employer in scope. Independent, cross-domain research enables the continued development of safety-critical governance infrastructure that benefits the American public across all four domains.

Policy & Societal Impact

This research addresses documented regulatory gaps, active Congressional legislation, and quantified safety crises affecting U.S. autonomous systems deployment across defense and civilian transportation sectors.

Autonomous Vehicle Safety Crisis

Nearly 40,000 Americans die annually in traffic crashes, with 94 percent attributed to human error. Autonomous vehicles promise to reduce this toll, but NHTSA's Standing General Order 2021-01 has documented 1,429 AV-involved incidents between 2021 and 2025, and the agency opened over 30 investigations in FY2025 alone, including probes into Level 3 and Level 5 ADS systems. Current AV architectures lack standardized, hardware-enforced governance that continuously adjusts drive-by-wire authority based on computed sensor trust. This research provides the missing architectural layer: BLADE-AV demonstrates that a hardware fail-safe relay, governed by formal Dempster-Shafer trust fusion, can cut actuator authority in hardware within the watchdog timeout window, without firmware involvement, when sensor integrity degrades below safety thresholds.

Alignment with Active Federal Legislation

• SELF DRIVE Act of 2026 (H.R. 7390): Congress requires manufacturers to develop safety cases, structured, evidence-based arguments that a system is acceptably safe. BLADE-AV's Zenodo deposit provides exactly this: a 12-page research paper with formal Dempster-Shafer equations, 1,200 zero-unsafe-action simulation runs, 62-component BOM, and open engineering artifacts. H.R. 7390 also mandates cybersecurity plans to detect and respond to "false vehicle control commands", the ADARA and SATA modules directly implement this capability through cross-sensor consistency detection and adversarial ML identification.
• NHTSA AV Framework (April 2025): Secretary Duffy's three principles, prioritize safety, unleash innovation, enable commercial deployment. The AV STEP program requires safety cases covering nine competencies including Safety Risk Assessment, Vehicle Fallback and Assistance, and Cybersecurity. The BLADE-AV architecture addresses all three: SATA provides risk assessment through continuous trust scoring, CARA provides deterministic fallback through GREP recovery phases, and the TPM 2.0 + ATECC608B hardware stack provides cryptographic cybersecurity.
• UN Global Technical Regulation on ADS (approved January 2026): The first international standard for autonomous driving, emphasizing the "safety case" approach. BLADE-AV's published safety architecture and open simulation artifacts align with this evidence-based validation framework.
• 25 U.S. states introduced 67 AV-related bills in early 2025 alone, creating a patchwork of regulations. H.R. 7390 aims to establish federal preemption for ADS standards. Standardized governance architectures like BLADE-AV can provide the technical foundation for unified national safety requirements.

AI Accountability & Auditability

When an autonomous vehicle crashes, investigators must determine whether the AI system performed as expected. Current AV architectures provide sensor logs but lack a structured authority decision chain showing why the system acted as it did. This research provides cryptographically auditable authority governance: every HMAA authority computation, every SATA trust score, every FLAME deliberation window, and every CARA recovery transition is a deterministic function of documented inputs, enabling post-incident reconstruction of the exact governance state at any point in time. The ATECC608B hardware authentication and TPM 2.0 secure boot provide tamper-evident provenance for the entire decision chain.

Cross-Domain Safety Portability

The same governance pipeline that prevents a directed-energy weapon from firing without proper authority (BLADE-EDGE, DoDD 3000.09) prevents an autonomous vehicle from executing drive-by-wire commands without verified sensor trust (BLADE-AV, ISO 26262 ASIL-D) and prevents a maritime autonomous surface vehicle from engaging effectors without fused hydroacoustic and MAD trust (BLADE-MARITIME, MIL-STD-810G), and prevents a critical infrastructure controller from authorizing actuator commands without verified sensor trust across ICS/SCADA networks (BLADE-INFRA, SIL 3 / NERC CIP), and prevents an autonomous orbital platform from executing propulsive maneuvers or payload firing without verified rad-tolerant sensor trust beyond ground-loop latency (BLADE-SPACE, NASA EXPAND.3.S26B aligned, TRL 2-3 Preliminary Design). This five-domain portability, defense, civilian transportation, maritime surveillance, critical infrastructure, and orbital on the same architectural foundation, demonstrates that authority-governed autonomy is a domain-agnostic safety principle. This cross-domain governance portability is not commonly found in publicly documented autonomous systems architectures.

Flash War Prevention & Decision Integrity

In contested military environments, AI-enabled systems compress decision timelines below human reaction time, creating escalation risks that no existing governance framework addresses. FLAME (U.S. Provisional Patent 64/005,607) introduces mandatory deliberation windows into autonomous command chains, forcing a configurable hold period before safety-critical actions, even when the system has computed sufficient authority. This architectural safeguard prevents the scenario where two AI systems autonomously escalate to engagement faster than human commanders can intervene. Published on Zenodo with interactive simulation demonstrating the 5-state Circuit Breaker State Machine.

U.S. Competitiveness in Autonomous Systems

Congress has explicitly identified AV regulatory leadership as a competitive priority. NHTSA's July 2025 Report to Congress states that "the Committee continues to believe it is critical that the NHTSA modernize its rules in a timely manner to ensure that the U.S. can safely deploy this new technology and not cede leadership to global competitors." This research, conducted within U.S. institutions, published through open platforms, and aligned with U.S. regulatory frameworks, contributes governance architecture specifications that strengthen U.S. technical leadership at the moment when the first federal AV safety standards are being established.