Fulan Li

Fulan Li is a master’s degree student in the Bradley Department of Electrical and Computer Engineering. He is advised by Lynn Abbott.
Li’s research focuses on extracting PPG signals from human face video using machine learning models.
M.S. Student
Research Areas:
  • Artificial Intelligence
  • iconComputer Vision
Web site