Alaa M. Mahmoud

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Alaa M. Mahmoud is a researcher advancing the field of autonomous manufacturing and quality control through innovative vision-based inspection systems. Her primary research areas include automatic optical inspection (AOI), robotics, and computer vision for industrial automation. Mahmoud’s major contribution is the development of an autonomous robot-guided inspection system that integrates offline programming (OLP) with RGB-D modeling, enabling precise, operator-free evaluation of manufactured products. Her foundational 2018 paper on this system has garnered 14 citations, establishing a framework for reducing human error and inspection time. Building on this work, her 2021 study introduced a camera-based position correction system that enhances the accuracy of autonomous production line inspections, earning 10 citations. Together, these contributions address critical challenges in manufacturing—such as the need for expert operators and time-consuming processes—by creating scalable, automated solutions. Mahmoud’s research is particularly notable for its practical application in real-world production environments, bridging the gap between offline programming and real-time robotic control. Her work continues to influence the development of smarter, more efficient industrial inspection systems.