Fred Feng

Dr. Fed Feng is an Assistant Professor of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn. Dr. Feng’s research methods include behavioral data analysis, statistical learning, human performance modeling, human factors, and human-machine interaction. Dr. Feng’s research applications are mainly in the transportation safety domain, more specifically, driver behavior and modeling, cycling safety, pedestrian safety, human-centered mobility, and sustainable transportation.