Peyman is a Postdoctoral Associate at MIT Transit Lab and Urban Mobility Lab. He earned his PhD in Transportation Systems from Northeastern University, and his BSc in Civil Engineering from Sharif University of Technology.
During his doctoral dissertation research, his focus was on 1) developing real-time transit demand prediction models 2) real-time crowding prediction and predictive passenger information in transit networks. He also leveraged Deep Learning and natural language processing techniques for text mining of transit incident reports. He is currently working on projects with Transport for London, as well as the Mass Transit Railway in Hong Kong, working on integration of public transit and autonomous mobility-on-demand services.
Research Interests: Mobility Sensing and Prediction