Osama Moselhi

University of Alberta, Concordia University

Papers

Total Citations

129

H-Index

About

Osama Moselhi is a pioneering figure in construction engineering and management, whose research has fundamentally advanced the automation and optimization of construction operations. His work primarily focuses on the integration of robotics, artificial intelligence, and decision-support systems to enhance productivity and safety on construction sites. Moselhi’s most cited paper, "Optimization Algorithm for Selection and on Site Location of Mobile Cranes" (2005, 110 citations), provides a groundbreaking computational method for selecting and positioning mobile cranes, replacing traditional tabulated charts with a dynamic optimization approach that improves lift planning and site efficiency. He also made early, influential contributions to construction automation, as seen in his 1992 study on automating concrete slab-on-grade construction, which evaluated manual, semi-automated, and robotic methods to boost quality and reduce labor costs. His 1989 review of global robotics in construction (8 citations) was among the first to systematically assess the economic and practical feasibility of automation, addressing declining productivity and skilled labor shortages. Additionally, Moselhi’s work on 3-D animation for crane operations (1999) pioneered the use of visual simulation for planning heavy and critical lifts, enhancing safety and coordination. With over 130 total citations across these key papers, Moselhi’s legacy lies in bridging theoretical optimization with practical construction challenges, making him a foundational voice in modern construction robotics and automated project management.