Aviation IT dependency maps
Resilience starts from service dependency graphs spanning ops, passenger, and airport IT.
Research · PhD topic
Aviation IT Resilience
Keeping airline and airport IT services resilient when operations and threats both move fast.
Aviation resilience literature often centres aircraft/ATM; enterprise aviation IT (passenger systems, ops tools, airport platforms) needs AI-assisted resilience that respects aviation change culture and safety constraints.
AviationResilienceEnterprise ITContinuity
Working title
AI-Driven Aviation IT Infrastructure Resilience: Continuity Under Operational and Cyber Stress
Research questions
- How should AI rank recovery actions by aviation operational impact under partial outages?
- Which signals predict aviation-IT cascading failure early enough for useful intervention?
- How do change-freeze and safety constraints reshape allowable automated response?
Method (overview)
Case studies + simulated airport/airline IT dependency model. Tabletop and technical drills. Expert review with aviation IT practitioners. Compare AI-prioritised recovery vs standard ITIL severity.
Contribution
An aviation-aware IT resilience framework linking operational impact to detection and recovery decisions.
Avoid
Generic cloud resilience paper with “airline” only in the introduction.
Choose one emphasis
One thesis cannot cover every angle. Lock a disciplinary home before building.
Disruption-aware recovery
Recovery prioritisation must track flight operations impact, not only IT severity codes.
Cyber-physical ops stress
Combined cyber and operational disruption needs joint playbooks and detection.
Doctoral plan (tease)
Same four-year shape as other lab briefs — refine once this topic is locked as primary.
| When | Focus |
|---|---|
| Y1 | Dependency taxonomy + partner/ethics access |
| Y2 | Impact-aware recovery prototype |
| Y3 | Drill evaluation with practitioners |
| Y4 | Thesis + aviation/systems venue |