Research Interests

• Advancing sustainable, active, and just transportation systems through data-driven insights

Teaching

• IMSE 317 Engineering Probability and Statistics
• IMSE 440 Applied Statistical Models in Engineering
• IMSE 586 Big Data Analytics and Visualization

Education/Experience

• Postdoctoral Fellow, University of Michigan Transportation Research Institute (UMTRI)
• Ph.D. in Industrial and Operations Engineering, the University of Michigan, Ann Arbor
• M.S./B.E. in Mechanical/Automotive Engineering, Tsinghua University, China

Selected Publications

Drivers overtaking bicyclists - An examination using naturalistic driving data

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Feng, Bao, Hampshire, and Delp
Accident Analysis & Prevention, 115, 98-109. (2018)

Estimating lead vehicle kinematics using camera-based sensor data for distraction detection

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Feng, Bao, Jin, Sun, Saigusa, Tahmasbi-Sarvestani, and Dsa
Int'l Journal of Automotive Engineering, 9(3), 158-164. (2018)

Effects of quantity and size of buttons of in-vehicle touch screen on drivers' eye glance behavior

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Feng, Liu, and Chen
Int'l Journal of Human-Computer Interaction, 34(12), 1105-1118. (2018)

Can vehicle longitudinal jerk be used to identify aggressive drivers? An examination using naturalistic driving data

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Feng, Bao, Sayer, Flannagan, Manser, and Wunderlich
Accident Analysis & Prevention, 104, 125-136. (2017)

A computer-aided usability testing tool for in-vehicle infotainment systems

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Feng, Liu, and Chen
Computers & Industrial Engineering, 109, 313-324. (2017)

Affiliations at the University of Michigan

• Michigan Institute for Data Science (MIDAS)
• Michigan Institute for Computational Discovery and Engineering (MICDE)
• The Carpentries at the University of Michigan
• University of Michigan Injury Prevention Center
• University of Michigan Poverty Solutions
• Dearborn Artificial Intelligence Research Center