Ali Reza Fayazi

Ali Reza Fayazi has a wealth of experience in the field of autonomous and connected vehicles. Ali Reza began their career in 2008 as a Senior Engineer in Research and Development at Kerman Tablo Corp. (KTC), where they developed embedded applications of analog and digital I/O cards. In 2012, they became a Research Associate at the Institute of Transportation Studies at the University of California, Berkeley, where they conducted modeling, simulation, data analysis, and control of arterial traffic corridors. That same year, they also became a Visiting Researcher at the BMW Group Technology Office, where they implemented applications for Connected Vehicles technology at signalized intersections and proposed and experimentally verified the cooperative methods for traffic signal timing optimization and autonomous vehicles trajectory planning. In 2014, they became a Visiting Researcher at the BMW IT Research Center, where they implemented and integrated the energy measurement, communication, and motion-control systems in autonomous test vehicles. In 2017, they became a Postdoctoral Fellow at Clemson University, where they conducted research in autonomous and connected vehicles and experimentally evaluated the autonomous vehicle motion-control performance on a chassis dynamometer and on a test track. Finally, in 2020, they became a Software Engineer for Traffic Modeling at Ridecell, where they are currently developing models of traffic behavior, and predicting future actions for an intention-aware autonomous driving decision-making. Ali Reza is also applying advanced deep learning models and algorithms to capture complex behavior, as well as studying and implementing models of human driving, pedestrian motion, and social interaction.

Ali Reza Fayazi earned a Bachelor of Science degree from K. N. Toosi University of Technology in Electrical and Electronics Engineering. Ali Reza then went on to earn a Master of Science degree from the University of Tehran in Electrical and Electronics Engineering. Finally, they earned a Doctor of Philosophy (Ph.D.) in Dynamic Systems and Controls from Clemson University.