Han’s research is in the areas of computer vision, machine learning, image/video processing, signal processing, aerial video surveillance and security monitoring. More specifically, Han focuses on applying machine learning techniques to solve automatic human tracking, human detection and object recognition problems. He received a CSE Fellowship from the University of Illinois in 2005. He has received funding from the MU Research Board and the Leonard Wood Institute.