Hamza Bendemra

Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Hamza Bendemra is a researcher whose work spans advanced manufacturing, robotics, and composite materials, with a focus on enhancing precision and efficiency in industrial processes. His key research areas include robotic drilling, data analytics in manufacturing, and the optimization of automated fibre placement for composite structures. Bendemra’s major contributions are evident in his pioneering approach to integrating data analytics into robotic drilling, where he developed a method to extract geometric primitives—such as circles in three-dimensional space—from point cloud data captured by laser stripe sensors. This innovation establishes a reference frame for robotic drilling, significantly improving accuracy in aerospace and automotive applications. His work on optimizing compaction force for automated fibre placement addresses the growing demand for thermoplastic composites, which offer high specific strength and fatigue resistance. Despite modest citation counts—11 for his leading paper on robotic drilling and 4 for his fibre placement study—Bendemra’s research is notable for its practical impact on manufacturing precision and material efficiency. His achievements highlight a commitment to bridging data-driven techniques with hands-on engineering, making his contributions valuable for students and researchers exploring smart manufacturing and composite material processing.