Research Expertise and Interest

computer vision, pedestrian mobility, urban accessibility, walkability

Research Description

Maryam Hosseini is an assistant professor in the Department of City & Regional Planning. Her research centers on pedestrian mobility, urban accessibility, and walkability. She designs open-source tools, leveraging computer vision, machine learning, and computational geometry to provide scalable, reproducible solutions that address diverse urban challenges, including accessibility for people with disabilities, heat risk, and poverty.

One of her primary objectives is to empower cities worldwide to conduct comprehensive analyses of their pedestrian infrastructure through understanding where sidewalks are, how they are connected, what their condition is.