USC’s SAE PhD equips scholars to tame galaxy‑scale complexity—from lunar habitats to global supply‑webs. Candidates formalize SysML v2 ontologies, quantify emergent risk with Bayesian networks on distributed digital twins, and harden autonomous fleets via formal verification against STAMP/STPA hazards. Dissertation cohorts co‑publish with NASA JPL and SpaceX Starshield, while policy ateliers decode ISO 42010 updates. Graduates wield category theory and contract clauses with equal fluency, architecting systems that behave—and behave ethically—under fire.
STAMP‑based hazard model for lunar ISRU plants
Graph neural‑net detection of emergent failure modes in eVTOL swarms
SysML v2 plugin auto‑generating formal TLA+ specs
Lifecycle LCA dashboard linking MBSE artifacts to Scope‑3 carbon
Smart‑contract SLA model for satellite‑as‑a‑service constellations
Causal inference of requirement volatility on program NPV
Policy brief on AI assurance for autonomous weapon systems
Digital thread provenance ledger using Hyperledger Fabric
MBSE‑to‑VR pipeline for stakeholder immersive reviews
Resilience metric integrating cyber‑physical attack graphs
Reinforcement‑learning scheduler for agile aerospace PMO
Ontology alignment tool between DoDAF and TOGAF views
Cyber‑digital twin detecting Anomaly C in Starlink mesh
Sustainability scorecard for mega‑project value delivery
Template library of design‑for‑equity decision patterns
SAR‑based real‑time supply‑chain disruption monitor
AI co‑pilot suggesting architecture patterns from repo mining
Design and govern ultra‑complex systems that actually work.
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