Assya Boughrara
Papers
1
Total Citations
6
H-Index
1
About
Assya Boughrara is a researcher at the forefront of industrial artificial intelligence, specializing in 3D deep learning for automated inspection and quality control in advanced manufacturing. Her work is central to the joint research laboratory “Inspection 4.0,” a collaboration between IMT Mines Albi/ICA and the company DIOTA, which develops numerical tools for Industry 4.0. Boughrara’s most cited paper, “Inspection of mechanical assemblies based on 3D deep learning approaches” (2021, 6 citations), addresses a critical challenge in aeronautics: conformity control of complex mechanical assemblies. By leveraging 3D deep learning, she enables precise, automated detection of defects and deviations, reducing reliance on manual inspection and accelerating production timelines. This contribution is pivotal for industries where safety and precision are paramount. Boughrara’s work bridges cutting-edge AI research with real-world industrial applications, demonstrating how deep learning can transform traditional manufacturing processes. Her achievements highlight her as a key innovator in the intersection of computer vision, robotics, and smart manufacturing, with potential for significant impact on the future of automated quality assurance.
Research Focus
Key Achievements
Top Papers
- 1Inspection of mechanical assemblies based on 3D deep learning approaches6 citations · 2021