Role: Lead Systems Engineer / Operations Researcher
Context & Challenge:
Leading a systems-level analysis for maintenance operations in high-cost aviation platforms, identifying inefficiencies and risk drivers in inspection regimes.
Approach & Architecture:
-
Performed requirements elicitation with maintenance leaders and aircraft operators.
-
Developed a data-driven feedback loop architecture: combining field maintenance data, predictive modeling, and simulation to inform inspection scheduling.
-
Utilized AI/ML pipelines and modeling & simulation tools (e.g., analytical models / simulations) to evaluate how different inspection strategies impact reliability, cost, and availability.
Impact & Outcomes:
-
Recommended optimized inspection intervals leading to projected reductions in maintenance downtime and cost.
-
Provided decision-support visualization tools (dashboards) to operations leadership for real-time insights.
-
Helped institutionalize a sustainment innovation roadmap within GTRI, aligning technical research with sponsor priorities.
Learn More:
- GTRI 2021 Annual Report Article
- Technical Publication from the International Conference on Condition Based Maintenance (CBM) in Aerospace
- United States Air Force and Aviation Week News Article
- Presentations at IEEE Aerospace Conferences:
- 2022 Presentation at the Naval Applications of Machine Learning Conference