Typical applications include:
1. Aircraft engine diagnostics
2. Airline operations.
3. Big data predictive analytic tools for analyzing large CFD-generated data sets
4. Use of deep learning techniques in predictive analytics for Aviation cybersecurity.
5. Interactive real time visual analytics for diagnostic, descriptive, prescriptive, and predictive monitoring of complex integrated systems.
6. Big data analytics for tracking flight track anomalies
7. Inversed Reinforced learning to identify precursors to Flight Track Anomalies in aerospace systems.
8. Deep and Multiple Kernel Learning for heterogeneous anomaly detection in complex aviation and aerospace systems.