Mahyar Amirgholy

Dr. Mahyar Amirgholy is an Assistant Professor at Kennesaw State University (KSU) within the Southern Polytechnic College of Engineering and Engineering Technology, and a Research Affiliate at Lawrence Berkeley National Laboratory. His research focuses on transportation systems, with expertise in cooperative control of connected automated vehicles, transportation electrification, and machine learning applications.

Education:

• Ph.D. in Civil and Environmental Engineering (Transportation Systems) from the University of Massachusetts Amherst
• Postdoctoral Scholar at Cornell University’s Civil and Environmental Engineering Department
• M.S. from Rutgers University (Transportation Engineering) and Sharif University of Technology (Transportation Planning)
• B.S. in Civil Engineering from Amirkabir University of Technology

Research Interests: Dr. Amirgholy’s work emphasizes optimizing large-scale transportation systems through machine learning, network modeling, and energy efficiency strategies. Key areas include decarbonization of transportation networks, cooperative control of automated vehicles, and traffic flow optimization in signal-free urban environments.

Publications: His recent work addresses challenges in mixed traffic management, signal-free networks, and energy-efficient vehicle operations. Themes include leveraging AI for dynamic traffic modeling and predicting emissions from EV charging infrastructure.

Awards: Recipient of the CUTC Milton Pikarsky Award for his doctoral dissertation on transportation systems.

Advising & Students: Supervises a diverse team of doctoral, master’s, and undergraduate researchers focusing on smart transportation systems. Notable projects include developing the Atlanta Energy and Emission Modeling and Analysis Tool (AEEMAT).

Labs & Collaborations: Leads the Futra Lab, which collaborates with entities like the Atlanta Regional Commission to advance sustainable mobility solutions. Current initiatives include predictive energy modeling for EV adoption and equitable infrastructure design.