Research Demo
AI-LEO-Policy: AI-Assisted Policy Simulation for Multi-Constellation LEO Governance
This research prototype supports comparative policy analysis for multi-constellation LEO environments by combining scenario-based simulation, governance regimes, interpretable metrics, and evidence-pack style outputs. It is intended as a decision-support and research demonstration tool for exploring coordination, compliance, fairness, and policy trade-offs in congested LEO ecosystems.
Primary implementation and thesis development by Ms. Maheen Zulfiqar
Under the supervision of Dr. Rehan Mahmood
This is a research prototype. It is not an operational SSA system, not real-time collision prediction, not true collision-probability software, and not a satellite control platform.
What this demo shows
Governance Regimes
Compare alternative policy/coordination regimes in multi-operator LEO settings.
Scenario-Based Analysis
Explore baseline, growth, compliance, and uncertainty-driven stress scenarios.
Interpretable Metrics
Inspect policy-facing outputs such as risk proxy, coordination burden, compliance effectiveness, and fairness.
Evidence-Pack Outputs
Present structured outputs that support transparent policy discussion and reproducible research.
Scenario Selection
Run Simulation
Run compare mode (R0/R1/R2) for the selected scenario.