Fred Feng

Fred Feng is an Associate Professor in the Industrial and Manufacturing Systems Engineering department at the University of Michigan-Dearborn's College of Engineering and Computer Science. His work bridges human factors, data science, and transportation safety.

• Ph.D. in Industrial and Operations Engineering from University of Michigan, Ann Arbor (2015)
• M.S. in Mechanical Engineering from Tsinghua University (2009)
• B.E. in Automotive Engineering from Tsinghua University (2006)

Research Focus: Human factors in automated vehicles, road safety analysis, human-machine interaction design, and data-driven modeling of mobility systems. His work combines naturalistic driving data with statistical and computational methods to improve transportation safety for vulnerable road users.

Publication Trends: Recent work (2022-2023) explores micro-mobility sustainability frameworks and safety-critical scenarios for autonomous vehicles. Earlier studies (2017-2019) focused on driver distraction detection, overtaking behavior analysis, and vehicle dynamics modeling.

Grants: Recipient of multiple competitive grants including NSF CAREER funding (2022-2027) and multiple industry-sponsored research projects with Toyota and Ford.