Bryan Reimer, Ph.D., is a Research Scientist in the MIT AgeLab and the Associate Director of The New England University Transportation Center at MIT. His research seeks to develop theoretical and applied insight into driver behavior by fusing together traditional psychological methods with big data analytics in computer vision, deep learning, and predictive modeling. His work leverages laboratory experimentation, driving simulation, field testing, and naturalistic study to develop a comprehensive understanding of visual, physiological, behavioral, and overall performance characteristics associated with how drivers respond to the increasing complexity of the modern operating environment. His work aims to find solutions to the next generation of human factors challenges associated with driver attention management, distraction, automation and the use of advanced driver assistance systems to maximize mobility and safety. He is an author on over 200 technical contributions in transportation and related human factors areas.
He founded and leads three academic-industry partnerships: the Advanced Human Factors Evaluator for Attentional Demand (AHEAD) consortium, aimed at developing the next generation of driver attention measurement tools; the Advanced Vehicle Technology (AVT) consortium, focused on developing an understanding of driver use of emerging vehicle technologies including production level automated driving systems; and the Clear Information Presentation (Clear-IP) consortium, that is exploring the impact of typographical and other design characteristics on usability (color, display conditions etc.) in glance based environments.
He is a graduate of the University of Rhode Island with a B.S. in Industrial Engineering, an M.S. in Manufacturing Engineering and a Ph.D. in Industrial and Manufacturing Engineering.
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Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.