Mohamad Ali-Dib wins in the 5th Annual NYUAD Graduate & Postdoctoral Research Showcase
Mohamad Ali-Dib works as a Research Scientist at CAP3 . An abstract of his winning presentation on Craters Identification with Artificial Intelligence is below.
Impact craters are the dominant morphological structures on most solar system planets and moons. Their numbers can be used as a diagnostic tool to estimate the surface age of objects, while their shapes and sizes encode valuable information on the impactors that created these craters. Finding new craters and retrieving their sizes has, however, generally been a manual process, and as such is rather extremely time-consuming. Mohamad's research focuses on using modern Artificial Intelligence techniques to detect craters in space probes imagery data. The algorithms he developed are currently being deployed to help plan the upcoming Emirates Lunar Rover's path on the Moon.
Image: Lunar surface (left) and the craters detected by the machine learning algorithm Mohamad developed (right)