Fred Feng
Scholar

Fred Feng

Google Scholar ID: tEvyRfUAAAAJ
University of Michigan-Dearborn
Behavioral Data AnalysisStatistical LearningHuman FactorsCycling SafetyPedestrian Safety
Citations & Impact
All-time
Citations
619
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Received NSF CAREER Award to study cycling safety; E-bike project with Dr. Rybarczyk funded by UM-Dearborn - UM-Flint collaborative research funding program.
Research Experience
  • Led an e-bike safety project; Gave a talk at the Tran-SET webinar.
Background
  • Research interests include data analytics, applied statistics, causal inference, machine learning, human factors, and computational modeling and simulation.
Miscellany
  • Affiliated with the Industrial & Manufacturing Systems Engineering at the University of Michigan-Dearborn.