Shan Bao

Shan Bao

Associate Research Scientist

University of Michigan

About Shan Bao

Dr. Bao is a human factors researcher who has led and conducted multiple, large, simulator and naturalistic-driving studies for industry and government sponsors. Her areas of expertise include the statistical analysis of crash datasets and naturalistic data, vulnerable road user safety, experimental design, algorithm development to identify driver states and movement, evaluation of driving-safety technologies, measurement of driver performance, driver decision making, and statistical and stochastic modeling techniques. She has been invited to give multiple keynote speeches and served on expert panels at different conferences or meetings. She has also made technical presentations on scientific project results at many international conferences with a wide range of audiences. Dr. Bao is the author of the recent IEEE e-learning course of ‘Human Factors in Automated Vehicles”.

University of Michigan
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