Prof. Phillip De Leon receiving the 2011 Bromilow Award for Research from Dean Ricardo Jacquez, College of Engineering
Phillip De Leon has research interests and on-going projects in RF device fingerprinting, time-frequency analysis, signal processing for gait analysis and falls prediction, machine learning including deep learning, speaker recognition (spoofing and countermeasures), and speech enhancement.
Video on using smartphone sensing to identify falls risk.