Will P.

Projects

• Automated Moon Crater Detection Completed

  Exploring algorithmic and neural network approaches to automatically detect and catalog craters on the lunar surface from LRO imagery. Presented at Ursinus CoSA 2023. Developed by Dylan Melby. Related independent study applied deep learning techniques to astrophysical image and data analysis more broadly, conducted in CS391. This work was conducted from 2020 to 2023.