Saeid Soleimaniamiri has experience in emerging technologies (connected & automated vehicles), traffic flow and capacity analysis, and transportation network modeling. He is a Ph.D. candidate in the Civil and Environmental Department at the University of South Florida (USF). He works as a graduate research assistant at the Connected & Autonomous Transportation Systems (CATS) lab, which hosts two full-sized automated vehicles and associated connected vehicles onboard and roadside units. His work has been supported by research grants from multiple agencies (NSF, US DOT, FHWA). He has developed models and algorithms for improving traffic operations in various forms of transportation conflict areas (e.g., intersection, work-zone, etc.). He is also working on applying the fundamental traffic flow capacity analysis methods previously proposed by the CATS lab in the existing transportation planning model, e.g., Tampa Bay Regional Planning Model. On a more recent project called TSMO, he developed fundamental algorithms to be implemented in the FHWA CARMA open-source software (OSS). He is currently working on implementing the developed algorithms for proof-of-concept testing.
Saeid is very active in the USF Institute of Transportation Engineers (ITE). He served as an assistant finance chair at the 2019 Student Leadership Summit held at USF and as a committee member for the USF-ITE professional development and marketing team. Currently, he serves as the president of the USF-ITE Student Chapter for the 2021-2022 academic year.