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. 16 papers · h-index 15 · 892 citations.
Selected work
A few things I’m proud of, from the last few years:
- Global urban visual perception varies across demographics and personalities — Quintana et al., Nature Cities (2025).
- What is a Digital Twin Anyway? — Abdelrahman et al., Building and Environment (2025). Derived a data-driven definition from 15,000+ publications.
- Personal thermal comfort models using digital twins — Abdelrahman, Chong, Miller, Building and Environment (2022). The Build2Vec / GNN approach.
- Data science for building energy efficiency — Abdelrahman et al., Energy and Buildings (2021). NLP-driven review, 850+ citations.
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.