Bridging the Gap with Bryan Reimer, PhD, MIT

AI Sweden Partner Days and live podcast Bridging the Gap:

Bridging the Gap is a podcast series about technology at present and in the near future. We interview interesting individuals with a background within tech and with a story that is bridging two or more dots.

At the AI Sweden Partner Days event, we’ll live stream an episode of the podcast with our guest Bryan Reimer who is a Research Scientist in the MIT AgeLab. Bryan is also co-leading the development of an initiative to provide participating partners to remain or become global leaders in the development and use of edge learning technology at AI Sweden’s Edge Lab.

We’ll talk to Bryan Reimer about his research that aims to find solutions to the next generation of human factor challenges associated with driver attention management, distraction, automation and the use of advanced driver assistance systems to maximize mobility and safety. Where are we now and what needs to happen? What are the problems we are facing and how will we live in a mixed driver/automated world? Join us for this exciting episode of Bridging the Gap.

Bio
Bryan Reimer, PhD, 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 behaviour by fusing together traditional psychological methods with big data analytics in computer vision and predictive modelling. His work leverages laboratory experimentation, driving simulation, field testing, and naturalistic study to develop a comprehensive understanding of visual, physiological, behavioural, 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 of over 200 technical contributions in transportation and related human factors areas and a graduate of the University of Rhode Island with a B.S. in Industrial Engineering, an M.S. in Manufacturing Engineering and a PhD in Industrial and Manufacturing Engineering.

Bryan Reimer is co-leading the development of the Global Edge Learning initiative at AI Sweden’s Edge Lab to provide participating partners to remain or become global leaders in the development and use of edge learning technology.
Read full bio here https://web.mit.edu/reimer/www/