Assistant Professor
PhD, Civil and Environmental Engineering-Transportation, Northwestern University
MS, Civil and Environmental Engineering, Northwestern University
BS, Civil Engineering, Sharif University of Technology

Dr. Mehrnaz Ghamami is an assistant professor at Michigan State University. Her research is focused on transportation systems analysis and planning, with applications in sustainable transportation and Intelligent Transportation Systems (ITS).  She teaches and advises graduate and undergraduate students in these areas. She has developed a comprehensive modeling framework for analyzing various policy and planning issues related to plugin electric vehicles. She has served as the PI on MI Energy projects and as Co-PI on a few MDOT (Michigan Department of Transportation) and FHWA (Federal Highway Administration) projects. She is named a “Young Member” to the Committee on Alternative Transportation Fuels and Technologies (ADC80) and the Committee on Transportation Energy (ADC70) of the Transportation Research Board (TRB), for a three-year term. She is the chair of Integrated Transport Modeling subcommittee (ADB40(2)) of TRB. She is also a member of the reviewer pool for the Transportation Research Board (TRB), and other well-respected transportation journals. Dr. Ghamami got her Ph.D. from Northwestern University prior to joining MSU in 2015.

She is currently teaching 400-level and 800-level courses, but with plans to take over some of the entry-level courses, as those are the gateways to teach students how to study and even how to learn. This will have a long term effect on our student learning experience and their overall performance. She has also served as the chair of our department’s Undergraduate Curriculum Committee (UGCC) for 1.5 years and came to know some of the main challenges of students and faculty in classrooms. Her goal is to find solutions to those challenges and communicate the results to each faculty or group.


  • Transportation systems analysis and planning
  • Sustainable transportation 
  • Intelligent Transportation Systems (ITS)
  • Electric and Autonomous Vehicles
  • Mathematical Modeling