Self Driving Cars and Pedestrians

Self Driving Cars and Pedestrians turns out to be a useful lens for thinking about data in the real world. Arash Kalatian to discuss Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning.

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Arash Kalatian: Arash Kalatian is a Ph.D. Candidate in the Transportation Engineering program at Ryerson University, Toronto. He received his B.Sc. in Civil Engineering and M.Sc in Transportation Planning, both from Sharif University of Technology, Iran. He started his Ph.D. in 2017 under supervision of Dr. Bilal Farooq. Arash’s research mainly focuses on Cyber-Physical Transportation Systems, i.e. Virtual Reality and Ubiquitous Networks, and more specifically, their application in studying Pedestrian Behaviours and Movement Dynamics.