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Mahmoud M. Abdelrahman

Mahmoud M. Abdelrahman
Saltmine

Doctor of Philosophy
PhD in the Built Environment

About

39
Publications
172,445
Reads
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184
Citations
Citations since 2016
36 Research Items
182 Citations
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2016201720182019202020212022020406080
2016201720182019202020212022020406080
Additional affiliations
March 2020 - present
National University of Singapore
Position
  • Research Assistant
February 2017 - February 2018
Kafrelsheikh University
Position
  • Lecturer assistant
October 2011 - February 2017
Kafrelsheikh University
Position
  • Research Assistant
Education
September 2004 - September 2009
Mansoura University
Field of study
  • Architectural Engineering

Publications

Publications (39)
Preprint
Full-text available
This paper describes the adaptation of an open-source ecological momentary assessment smart-watch platform with three sets of micro-survey wellness-related questions focused on i) infectious disease (COVID-19) risk perception, ii) privacy and distraction in an office context, and iii) triggers of various movement-related behaviors in buildings. Thi...
Article
Full-text available
Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing the performance of buildings and the people who use them. These techniques have occupants giving subjective feedback using smartphones or smartwatches frequently over the course of days or weeks. The intention is th...
Preprint
Full-text available
Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing the performance of buildings and the people who use them. These techniques have occupants giving subjective feedback using smartphones or smartwatches frequently over the course of days or weeks. The intention is th...
Conference Paper
Full-text available
Thermal comfort affects the well-being, productivity, and overall satisfaction of building occupants. However, due to economical and practical limitations, the number of longitudinal studies that have been conducted is limited, and only a few of these studies have shared their data publicly. Longitudinal datasets collected indoors are a valuable re...
Article
Full-text available
Conventional thermal preference prediction in buildings has limitations due to the difficulty in capturing all environmental and personal factors. New model features can improve the ability of a machine learning model to classify a person’s thermal preference. The spatial context of a building can provide information to models about the windows, wa...
Preprint
Full-text available
Conventional thermal preference prediction in buildings has limitations due to the difficulty in capturing all environmental and personal factors. New model features can improve the ability of a machine learning model to classify a person's thermal preference. The spatial context of a building can provide information to models about the windows, wa...
Article
Full-text available
Internet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These technologies provide copious amounts of high-quality temporal data pertaining to indoor and outdoor environmental quality, comfort, and energy consumption. However, a barrier to their use in many applications is the lack of s...
Preprint
Full-text available
Internet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These technologies provide copious amounts of high-quality temporal data pertaining to indoor and outdoor environmental quality, comfort, and energy consumption. However, a barrier to their use in many applications is the lack of s...
Article
The ever-changing data science landscape is fueling innovation in the built environment context by providing new and more effective means of converting large raw data sets into value for professionals in the design, construction and operations of buildings. The literature developed due to this convergence has rapidly increased in recent years, maki...
Article
Full-text available
Evaluating and optimising human comfort within the built environment is challenging due to the large number of physiological, psychological and environmental variables that affect occupant comfort preference. Human perception could be helpful to capture these disparate phenomena and interpreting their impact; the challenge is collecting spatially a...
Preprint
Full-text available
Evaluating and optimising human comfort within the built environment is challenging due to the large number of physiological, psychological and environmental variables that affect occupant comfort preference. Human perception could be helpful to capture these disparate phenomena and interpreting their impact; the challenge is collecting spatially a...
Preprint
In this paper, we represent a methodology of a graph embeddings algorithm that is used to transform labeled property graphs obtained from a Building Information Model (BIM). Industrial Foundation Classes (IFC) is a standard schema for BIM, which is utilized to convert the building data into a graph representation. We used node2Vec with biased rando...
Preprint
Full-text available
In this paper, we present a platform that integrates three main aspects in the building industry: 1) Building data from both IoT devices and Building Management System (BMS), 2) Building Energy modeling and simulation engine, and 3)Data analysis and optimization libraries. All of which are combined in a three-tier architecture cloud platform. The p...
Conference Paper
Full-text available
In this paper, we represent a methodology of a graph em-beddings algorithm that is used to transform labeled property graphs obtained from a Building Information Model (BIM). Industrial Foundation Classes (IFC) is a standard schema for BIM, which is utilized to convert the building data into a graph representation. We used node2Vec with biased rand...
Article
Full-text available
This study describes a human-building interaction framework called the SDE Learning Trail , a mobile app that is currently deployed at the SDE4 building - the new Net Zero Energy Building (NZEB) at the National University of Singapore (NUS). This framework enables building occupants and visitors to learn about the well and green features of the new...
Article
Full-text available
Space syntax involves a set of techniques for analyzing the spatial configurations of various spaces at building and urban scales. Religious spaces, such as prayer halls, are examples of buildings where observers experience space mostly from a single point of view. Furthermore , traditional space syntax is mainly used in the analysis of visibility...
Preprint
Full-text available
This study describes a human-building interaction framework called the SDE Learning Trail, a mobile app that is currently deployed at the SDE4 building-the new Net Zero Energy Building (NZEB) at the National University of Singapore (NUS). This framework enables building occupants and visitors to learn about the well and green features of the new NZ...
Article
Full-text available
In this paper, we represent an approach for combining machine learning (ML) techniques with building performance simulation by introducing four methods in which ML could be effectively involved in this field i.e. Classification, Regression, Clustering and Model selection . Rhino-3d-Grasshopper SDK was used to develop a new plugin for involving mach...
Code
Cite as : Abdelrahman, M. M. (2017). GH_CPython: CPython plugin for grasshopper. https://doi.org/10.5281/zenodo.888148
Article
Full-text available
Youth housing prototypes are widely spread all over Egypt as a cheap economic housing for youth which are designed in a number of different shapes. A post occupancy evaluation (POE) has been conducted to one of these prototypes to assess some modifications spontaneously done by users to the original design for the sake of enhancing building perform...
Conference Paper
Full-text available
In this paper, we represent an approach for combining machine learning (ML) techniques with building performance simulation by introducing four methods in which ML could be effectively involved in this field i.e. Classification, Regression, Clustering and Model selection . Rhino-3d-Grasshopper SDK was used to develop a new plugin for involving mach...
Conference Paper
Full-text available
In the last few years, Great improvements have been achieved in building optimization methods. Mustapha Sadeghipour Roudasri and others found new tools " Ladybug, Honeybee and Butterfly" which could gather many simulation engines and visualization tools " Energyplus, OpenStudio, Radiance, Daysim, CFD, OpenFOAM, etc ". Consequently, These simulation...
Data
Resource files of my M.Sc. thesis, available under creative commons license, Please cite as : ------- AbdelRahman, M. M., Moustafa, W. S., & Farag, O. M. (2017). Modelling of Egyptian low-cost-housing natural ventilation: Integration of geometry, orientation and street width optimization. Urban Climate. doi: http://dx.doi.org/10.1016/j.uclim.2017....
Data
GH_CPython plugin for Grasshopper, copy the contents of this file into Grasshopper libraries' folder. These files are: 1- GH_CPython.gha 2- FastColoredTextBox.dll
Code
Cite as: Abdelrahman, M. M. (2017). GH_CPython: CPython plugin for grasshopper. https://doi.org/10.5281/zenodo.888148
Article
Starting from year 1995, 50 thousand low-cost housing units were been proposed to be built In Egypt by 2020 to overcome housing problems, only 60% have been already implemented. Three prototypes are amongst the most frequently built ones by the Egyptian government. In this research, these prototypes have been subject to natural ventilation modellin...
Thesis
Full-text available
This Thesis highlights the importance of Computational Fluid Dynamics (CFD) simulation software in optimizing built environment efficiency through studying natural ventilation for both thermal comfort and human health on three main scales i.e. macro scale e.g. (urban form, building adjacency, etc..), intermediate scale e.g. (landscape, outdoor ther...
Code
A Python code to solve finite difference heat equation using numpy and matplotlib
Article
Full-text available
This research highlights the importance of Computational Fluid Dynamics (CFD) simulation software in optimizing building efficiency through studying natural ventilation for both thermal comfort and human health in residential buildings. Besides introducing methodologies used in this regard and ways of validating results such as wind tunnel and in-s...
Conference Paper
Full-text available
This Study aims to decrease energy consumption resulted from thermal comfort demand in single façade residential buildings. Depending on changing two main parameters, namely, street canyon ratio (H/W) and skylight height, a validated computational fluid dynamic (CFD) steady-state K epsilon turbulence model has been performed for the main eight orie...
Conference Paper
Full-text available
El-Dakahlia Governmental Headquarter is the central office building serving 5.5 million citizens in El-Dakahlia governorate in Egypt, and The public plaza around the building is the focus of Mansoura city urbanism. Despite The building importance, it faces many problems on its indoor environment and has a poor thermal performance. Natural ventilati...

Questions

Questions (15)
Question
If the sampling frame is not defined (non-probability sampling). How can I determine the sample size so that the sample reflects the real population?
-- Example,
I'm conducting a survey of office workers?
Question
I'm looking for any recommendations on solved problems/resources on Autocorrelation statistical testing of time-series data such as :
1. Lagrange Multiplier (LM) testing.
2. Durbin-Watson testing.
Thanks.
Question
IfcOpenshell is a good interface to read BIM Ifc files from different software, it is written in C++ as well as Python, however I haven't found enough documentation on IfcOpenShell for Python, Is there a good tutorial or documentation on how to read IFC files and get geometries and so on using Python Ifcopenshell module ?
Question
Any suggestions about the best Python GPGPU module for big data computing ?
Question
What does it mean when a paper status is changed from "Under Review" after 1 month to "Under Editor's Evaluation" at Elsevier Editorial System?
Thanks so much.
 
Question
What is the proper way to model actual user behavior in design builder? 
Question
I would like to install C++ CGAL library with Qt 5 ? 
thanks a lot . 

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Cited By

Projects

Projects (6)
Project
Develop an open-source clock face for Fitbit and Apple Watch, to allow researchers, facility managers, engineers and architects to easily collect subjective feedback from building occupants.
Project
Investigating design mental models using the application of machine learning
Project
CPython plugin for Rhino\Grasshopper https://github.com/MahmoudAbdelRahman/GH_CPython