Mahmoud Abdelrahman
My research uses AI — graph neural networks, GeoAI, and street-view imagery — to understand how cities and buildings respond to the people inside them.
Selected work
A few things I’m proud of, from the last few years:
- Abdelrahman, M., Macatulad, E., Lei, B., Quintana, M., Miller, C., & Biljecki, F. (2025). What is a digital twin anyway? Deriving the definition for the built environment from over 15,000 scientific publications. Building and Environment, 112748. DOI
- Quintana, M., Gu, Y., Liang, X., Hou, Y., Ito, K., Zhu, Y., Abdelrahman, M., & Biljecki, F. (2025). Global urban visual perception varies across demographics and personalities. Nature Cities. DOI
- Quintana, M., Liu, F., Torkko, J., Gu, Y., Liang, X., Hou, Y., Ito, K., Zhu, Y., Abdelrahman, M., & Biljecki, F. (2026). It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities. Landscape and Urban Planning, 105618. DOI
- Ito, K., Zhu, Y., Abdelrahman, M., Quintana, M., Hou, Y., Liang, X., Gu, Y., & Biljecki, F. (2025). ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science. Computers, Environment and Urban Systems, 102283. DOI
- Abdelrahman, M., Chong, A., & Miller, C. (2022). Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial-temporal proximity data from Build2Vec. Building and Environment, 208, 108532. DOI
Currently
CEO & co-founder of 4dt.io — an AI-powered digital-twin platform spanning the built environment, process manufacturing, and specialty agritech, with a horizontal foundation customisable to any domain. Previously a postdoctoral research fellow at the NUS Urban Analytics Lab (Nov 2023 – Jul 2025). Open to faculty positions.