Airline Network Dynamic Recovery
Published in NetSys Research Lab, University of Oklahoma, 2026
This project studies how airline networks absorb disruption and how recovery patterns evolve after shocks. It connects my interest in large-scale infrastructure systems with my broader research agenda on decision-making under uncertainty.
Contribution: developing a systems-level perspective on transportation resilience that can support later optimization and planning questions.
Method: using Dynamic Mode Decomposition and network-based analysis to study temporal behavior in airline networks and identify recovery structure that static snapshots can miss.
Current direction: building the analytical foundation for future work on infrastructure resilience, disruption response, and planning under uncertainty.