Mahmoud A. 马哈茂德 محمود

Postdoc Research Fellow at the Department of Architecture (NUS)

National University of Singapore

Biography

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I 🩷 Data

I’m driven by tech and data for creating better, sustainable cities. Currently, I’m a postdoc at NUS Urban Analytics Lab, delving into city digital twins and AI for the built environment. I’m co-founder at SpaceMatch, a startup using big data for adaptable work solutions.

Interests

Data science in the Built Environment,
GeoAI.
Product Managment.

Education

PhD in the Built Environment, 2022
National University of Singapore (NUS) - Singapore
M.Sc. in Architectural Engineering, 2017
Mansoura University - Egypt
BSc in Archietectural Engineering, 2009
Mansoura University - Egypt

Skills

My skills, and approaches.

Data Science

Knowledge dsicovery, Data mining, Visual analytics, BI, Statistics

AI

NNs, GNNs, CV, Transformers, GANs

Python

numpy, matplotlib, scipy, pygame, tensorflow, pytorch, pandas, shapely, geopandas

Agile Project Managemnt

Scrum, Kanban, Jira, Product managemnet

Development

MERN stack (MongoDB, Express.js, React.js, Node.js), React native, MySQL, Postgres, Firestore, Firebase, Google Cloud Platform, Containers, Dockers,JavaScript, HTML, CSS, MUI, Tailwind, FastAPI, MLOps

Social Sciences

Behavioural Psychology, Game Theory

Approaches

Data-Driven Problem Solving

Looking into the data to find solution to established problmes in my field.

Problem-Driven Research

Seeking the easiest and most efficient solutions to given problems.

Technology-Driven Problem Solving

Utilizing the latest technology to solve established issues in my field.

Craft Then Scale

Building proof of concepts by hand before scaling them up.

Technical Leadership

Exercising leadership in the technical realm.

Experience

CEO

SpaceMatch

January 2021 – Present Singapore

Responsibilities include:

Strategic planning
Product Development
Data Analysis

Postdoc Research Fellow

National University of Singapore

November 2023 – Present Singapore

Responsibilities include:

GeoAI research
Street View Imaging AI
Graph Neural Netwroks

Product Manager

Saltmine Pte. Ltd.

January 2022 – August 2022 Singapore

Responsibilities include:

Leading the development of Workplace Strategy module.
Redefining the Future of Work from a user experience point of view.
Leading the development and implementation of Recommendation Engine for Corporate Real Estate Managers.

Research Scientist

Saltmine Pte. Ltd.

March 2021 – January 2022 Singapore

Responsibilities include:

Future of work data identification and acquision,
Data mining and processing,
Building Machine learning models,
Implementing and deploying AI-driven Workspace recommendation engine.

Projects

Google Place Reviews Analytics

This project involves analyzing Google Place reviews to extract meaningful insights about urban environments. By leveraging natural language processing (NLP) techniques and review images from 4 global cities, we aim to understand public sentiment, identify key themes, and provide actionable recommendations for city planners and stakeholders. The dataset aggregations will be open.

City Digital Twins

I’m working on a state-of-the-art research on City Dgital Twins with the Urban Analytics Lab (UAL)

Recent Publications

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Mahmoud Abdelrahman, Edgardo Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki (2024). What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications.

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Mahmoud M. Abdelrahman, Adrian Chong, Clayton Miller (2022). Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec. Building and Environment.

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Mahmoud M. Abdelrahman, Clayton Miller (2022). Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort models. Building and Environment.

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Clayton Miller, Mahmoud Abdelrahman, Adrian Chong, Filip Biljecki, Matias Quintana, Mario Frei, Michael Chew, Daniel Wong (2021). The Internet-of-Buildings (IoB) — Digital twin convergence of wearable and IoT data with GIS/BIM. Journal of Physics: Conference Series.

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Mahmoud M. Abdelrahman, Sicheng Zhan, Clayton Miller, Adrian Chong (2021). Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature. Energy and Buildings.

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