Term 252
Facility Maintenance Digital Twin using BIM, IoT, and Machine Learning
Project Type: Self-Initiated
Project Description
A BIM-based Digital Twin that integrates IoT monitoring, robotic inspection, and AI analytics into one platform. It enables predictive, faster maintenance, diagnosis, and data-driven decisions, with a conversational AI interface for easy interaction and insight access.
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Project Team
Omar Tariq Bamsoud
CE
Saleh Khaled Ibrahim
EE
Omar M Helal
CE
Yazeed Basem Hboubati
ICS
Abdulaziz Tariq Alomair
COE
Fahad Abdulmohsen Alburidi
METeam Coach
DR. Amin Ali Ali Al Fakih
Assistant ProfessorCivil & Environmental Engineering Dept.
Interdisciplinary Research Center for Construction and Building Materials