Mohamad Kassem

Newcastle University, German University in Cairo

Papers

Total Citations

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About

Mohamad Kassem is a leading voice in construction digitalization, with his work bridging the gap between physical building processes and their virtual counterparts. His primary research areas include Building Information Modeling (BIM), digital twins for the built environment, and the integration of cyber-physical systems in construction. His most impactful contribution is the seminal paper "Construction digital twin: a taxonomy and analysis of the application-technology-data triad" (2024), which has already garnered 31 citations, establishing a foundational framework for understanding how digital twins operate across applications, technologies, and data flows. This work is essential reading for anyone entering the field of smart construction. Earlier in his career, Kassem explored robotics and autonomous systems, notably in "Rescue Missions Bots using Active SLAM and Map Feature Extraction" (2016), where he developed a novel heterogeneous multi-robot system that uses SLAM maps to accelerate exploration by directing an "eye-bot" toward extracted points of interest. This early work demonstrates his long-standing commitment to automation and intelligent systems. Kassem’s research continues to shape how the construction industry adopts data-driven, automated solutions, making him a key figure for students and researchers interested in the future of digital construction.