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About

Zaid Abbas Al‐Sabbag is a leading researcher at the intersection of computer vision, human-robot interaction, and infrastructure inspection. His work focuses on enabling safer, more efficient inspections of critical infrastructure such as bridges, where traditional methods are subjective and not repeatable. Al‐Sabbag’s major contributions include pioneering human-machine collaboration through mixed reality, as demonstrated in his highly cited 2022 paper (52 citations), which bridges the gap between robotic precision and human intuition. He has also advanced unsupervised defect segmentation using pose priors (2023, 12 citations), addressing limitations of supervised bounding box detectors that capture excessive background under perspective transformations. His innovative gaze-based human-robot interaction system (2024) further enhances inspection workflows by allowing intuitive robot control, while his graph-based approach to structural joint pose estimation (2023) tackles non-line-of-sight challenges in complex environments. With a growing citation impact, Al‐Sabbag’s work is shaping the future of automated, repeatable, and collaborative infrastructure inspections, making him a key figure in applied computer vision and robotics.