Research identity
Aidan is a PhD student in Computer Science and a DNN R&D TECH Consortium Fellow. Aidan’s research lies in advancing machine-learning methods for nuclear nonproliferation, particularly using gamma-ray energy and environmental context data to distinguish anomalous radiation signals from natural, rapidly changing background. His work combines these two data streams to improve detection sensitivity while maintaining low false-alarm rates.
Artificial intelligenceNuclear nonproliferationCybersecurity