Maryam Hosseini

Maryam Hosseini is an Assistant Professor of City & Regional Planning at the University of California, Berkeley. She earned her PhD from Rutgers University in 2022. Her research integrates urban geography, visual analytics, and machine learning to develop human-centered tools for urban accessibility and mobility. Her recent work includes developing personalized mapping systems that account for disability-specific mobility barriers, scalable detection of disability parking from aerial imagery, and the Urbanite framework for human-AI interactive alignment in urban visual analytics. She also investigates sidewalk-level urban heat risk assessment using pedestrian mobility and microclimate modeling. Her research has appeared in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. At Berkeley, she teaches CP255 – Urban Informatics and Visualization.