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About

Eihab Abdel-Rahman is a leading researcher at the intersection of biomechanics, construction safety, and occupational health, with a focus on mitigating work-related musculoskeletal disorders (WMSDs). His pioneering work centers on using wearable sensing and motion capture technologies to monitor, diagnose, and prevent physical strain among construction workers. Abdel-Rahman’s major contributions include developing sensor-based systems to quantify body posture and kinematics in real-world field settings, enabling early detection of MSD risk factors. His most cited paper, “Sensing Construction Work-Related Musculoskeletal Disorders (WMSDs)” (2011, 46 citations), laid the groundwork for integrating sensor technology into construction ergonomics. He further advanced this field with “Health and productivity impact of semi-automated work systems in construction” (2020, 41 citations), demonstrating how automation can reduce injury risk while maintaining productivity. His comparative study of in-field motion capture approaches (2017, 39 citations) provided critical guidance for selecting practical measurement tools. Notable achievements include his work on reducing shoulder injuries (2012) and developing a dedicated human body posture sensor (2013). With over 150 cumulative citations, Abdel-Rahman’s research is instrumental in shaping safer, more sustainable construction practices through data-driven ergonomic interventions.