Neema is a Postdoctoral Associate at the MIT Transit Lab. Neema’s research is focused on advanced statistical and computational methods and big data analytics for travel demand prediction in transit and multimodal transportation systems. He earned his PhD in Transportation Systems from University of Arizona (2013), and his BSc. and MSc. in Civil/Transportation Engineering from Sharif University of Technology, Tehran, Iran.
In his PhD research, Neema developed innovative network modeling solution methods to efficiently optimize the traffic evacuation and intersection control plan for no-notice disasters in real-size networks. After his PhD studies, he went to Australia and joined the Centre for Transport Strategy at University of Queensland (UQ). His research at UQ was mainly focused on modeling the travel behavior of public transit passengers. He has developed advanced network modeling algorithms and statistical methods to model complex travel behaviors in dense and multimodal transit networks. Google scholar account: https://scholar.google.com/citations?user=Tx5VsoYAAAAJ&hl=en