Farzan Moosavi

Farzan Moosavi is a fourth-year PhD student specializing in Transportation Engineering. His research focuses on the design and operation of last-mile delivery in urban environments, developing scalable solutions that account for infrastructural and municipal constraints as well as city-network features, using machine learning and quantum computing tools.

He is also interested in quantum computation applications to NP-hard problems and transportation systems, as well as reinforcement learning approaches for autonomous vehicles and the development of an automated hybrid transportation framework.