AU Aerospace Engineering Department | Undergraduate Research Assistant

The Advanced Flow Diagnostics Laboratory (AFDL) specializes in the development of image-based measurement techniques for 3D visualization and analysis of fluid flows. Recent work has focused on the design of large camera arrays (i.e. 8+ cameras) and the development of machine learning algorithms for tomographic reconstruction of fluid volumes. Measurement techniques include particle tracking velocimetry, background oriented schlieren imaging and laser induced fluorescence. Applications include hypersonics, high-speed flows, turbulence, combustion and rotorcraft dynamic stall.

Students are needed with an interest in one or more of the following areas:

1) Design and operation of multi-camera arrays.

2) Development of machine learning algorithms for 3D tomographic imaging, such as Neural Radiance Fields (NeRF) or Physics Informed Neural Networks (PINNS)

3) Experimental Fluid Dynamics

Preferred skills:

1) Familiarity with machine learning frameworks such as TensorFlow or PyTorch

2) Experience with custom imaging system design, such as facilitated using Raspberry Pis and compatible sensors

3) CAD