Publications

Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort models
Collecting intensive longitudinal thermal preference data from building occupants is emerging as an innovative means of characterizing …
Mahmoud M. Abdelrahman, Clayton Miller
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Personal thermal comfort models using digital twins: Preference prediction with BIM-extracted spatial–temporal proximity data from Build2Vec
Conventional thermal preference prediction in buildings has limitations due to the difficulty in capturing all environmental and …
Mahmoud M. Abdelrahman, Adrian Chong, Clayton Miller
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The Internet-of-Buildings (IoB) — Digital twin convergence of wearable and IoT data with GIS/BIM
Internet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These …
Clayton Miller, Mahmoud Abdelrahman, Adrian Chong, Filip Biljecki, Matias Quintana, Mario Frei, Michael Chew, Daniel Wong
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Statics of space syntax: Analysis of daylighting (vol 8, pg 311, 2019)
Khaled Tarabieh, Khaled Nassar, Mahmoud Abdelrahman, Islam Mashaly
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Longitudinal Personal Thermal Comfort Preference Data in the Wild
Thermal comfort affects the well-being, productivity, and overall satisfaction of building occupants. However, due to economical and …
Matias Quintana, Mahmoud Abdelrahman, Mario Frei, Federico Tartarini, Clayton Miller
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Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature
The ever-changing data science landscape is fueling innovation in the built environment context by providing new and more effective …
Mahmoud M. Abdelrahman, Sicheng Zhan, Clayton Miller, Adrian Chong
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