The applications of data science to aerospace engineering continue to expand. On a fundamental level, aerospace systems operate under several critical constraints, with safety and avoiding collisions at the top of the list. We apply data science to determine maintenance schedules, manufacturing performance and damage sensing of parts and materials. We explore data science methods and control theory in determining routes for autonomous and networked vehicles and satellites. In our space propulsion research, we are investigating how to improve the performance of electric plasma thrusters by applying data science methods from our own high speed plasma diagnostics. We are also developing new photo datasets and training drone programs to assist rescue units to locate people lost in the wilderness.
Associated faculty
Key labs
- Autonomous Control Laboratory
- Autonomous Flight Systems Laboratory
- Computational Fluid Dynamics
- Control & Trustworthy Robotics Lab (CTRL)
- Flow Z-Pinch Lab
- Multiscale Analysis of Materials & Structures (MAMS)
- Nonlinear Dynamics and Control Lab
- Quantitative Flow Visualization for Fluid and Turbulent Flow Studies
- Robotics, Aerospace, and Information Networks (RAIN) Laboratory
- Space Propulsion and Concepts Engineering Laboratory (SPACE) Lab)
