Skip to main content
Admissions

Data Science

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.

Related News

Collage of a long-tailed river stingray and a banded eagle ray

Wed, 05/28/2025

Force, form, and function

Swimming style predicts skeleton: AI solves stingray puzzle. This research has implications for developing new structures and materials.

Asteroid in space

Mon, 05/12/2025

The perfect angle: Using sunlight to better track space objects

Ph.D. student designs spacecraft paths that optimize sunlight angles for better tracking of objects in space.

Mira Tipirneni headshot

Mon, 03/03/2025

Digital tools to combat rain erosion captures Varanasi Fellowship

PhD student Mira Tipirneni develops computational models to predict and combat aircraft surface damage from rain.

Illustration of various bacteria and microorganisms on a dark background.

Fri, 02/14/2025

From nature's engines to engineering: An NSF grant explores power at the smallest scale

Professor Taghvaei studies bacteria to build efficient, nature-inspired nano-sized engines.