Hello, I'm
Maryam Hosseini

I am a Postdoctoral Associate at the MIT department of Urban Studies and Planning (DUSP), focusing on pedestrian accessibility and walkability in urban public spaces.
I use computer vision techniques to offer scalable and reproducible solutions to create large-scale datasets describing pedestrian facilities, with the vision of enabling different cities around the world to conduct comprehensive analyses of their pedestrian infrastructure through understanding:

Work Experience
- Postdoctoral Associate - Department of Urban Studies and Planning (DUSP) - MIT
- Research Associate - Visualization and Data Analytics (VIDA) Research Center - NYU
Education
- Ph.D. Urban Systems - Rutgers University
- M.A International Economics - University of Warsaw, Poland
- B.A Theoretical Economics - University of Tehran, Iran
Updates
- 04/03/2023   The Beta version of our Tile2Net tool is now publicly available on GitHub
- 03/27/2023   Had an interview with Street Blog USA about Tile2Net.
- 03/22/2023   Tile2Net was featured in Planetizen!
- 03/15/2023   Tile2Net was featured in MIT news spotlight!
- 02/22/2023   Our paper Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery is published in Computers, Environment and Urban Systems journal.
- 03/31/2023   The Routledge Handbook of Urban Public Space: Use, Design, and Management is now published, including my chapter Joining the Party in Downtown Brooklyn!
- 12/01/2022   I joined Andres Sevtsuk's team at MIT DUSP City Form Lab!
- 08/17/2022   Successfully defended my PhD!
- 07/28/2022   Co-organizing the 1st Workshop on The Future of Urban Accessibility at ASSETS'22.
- 01/06/2022   My first dissertation article, CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials, is published in Sustainable Cities and Society journal.
- 12/06/2021 Co-organizing the 'Future of Global‑Scale Spatial Data Collection and Analyses on Urban (in)Accessibility for People with Disabilities' workshop at SDSS 2021.