Mohamed Al‐Hussein
Papers
7
Total Citations
554
H-Index
5
About
Mohamed Al-Hussein is a prominent researcher in construction engineering and automation, whose work spans off-site and modular construction, crane operations optimization, robotics, and digital technologies in the built environment. Based at the University of Alberta, his scholarship has consistently pushed the boundaries of how technology can transform construction efficiency and safety. Al-Hussein's most influential contribution—a 2019 review of Building Information Modelling for off-site construction—has garnered over 400 citations, establishing him as a leading voice in the industrialized construction movement. His early work on mobile crane optimization (2005, 110 citations) demonstrated rigorous algorithmic approaches to lift planning, addressing real-world challenges faced by operators navigating complex capacity constraints. This thread continued with his 2011 research applying robotic obstacle avoidance to crane lift path planning, reducing human error in hazardous operations. More recently, Al-Hussein has explored the frontier of autonomous manufacturing, including vision-guided robotic systems for window frame production and virtual reality applications in off-site construction research. His 2024 critical review of VR applications signals his continued engagement with emerging technologies reshaping the industry. Across more than two decades, his body of work reflects a sustained commitment to automating, optimizing, and digitizing construction—making him an essential reference for researchers advancing intelligent and industrialized building methods.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimization Algorithm for Selection and on Site Location of Mobile Cranes110 citations · 2005
- 3Application of Robotic Obstacle Avoidance in Crane Lift Path Planning14 citations · 2011
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- 6
- 73-D Animation for Planning Crane Operations2 citations · 1999