Neema is a Postdoc Associate at the MIT Transit Lab. His research is focused on advanced travel demand models and algorithms for multimodal network modeling and optimization. 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 doctoral dissertation research at UA, 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. He did a PhD internship at San Francisco County Transportation Authority in 2012, where he explored utility-based accessibility measures for the SFCTA’s activity-based travel demand model.
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.