Habiba Zahir Imam
Papers
3
Total Citations
51
H-Index
3
About
Habiba Zahir Imam is a leading researcher in intelligent manufacturing and autonomous repair systems, with a focus on laser cladding and robotic remanufacturing. Her work addresses critical challenges in automated damage detection and repair, particularly for high-value industrial components. Her most impactful contribution is the development of a vision-based spatial damage localization method for autonomous robotic laser cladding repair processes (34 citations), which eliminates the need for manual visual inspection—a time-consuming, labor-intensive, and imprecise task. She further advanced the field with an efficient tool-path planning approach for repairing cylindrical components via laser cladding (13 citations), optimizing repair accuracy and efficiency. Her research integrates computer vision with robotic systems to enable real-time, autonomous damage identification and localization, significantly reducing human error and downtime in remanufacturing. Imam’s work is pivotal for industries relying on precision repair, such as aerospace and automotive, where component integrity is paramount. With a growing citation record and a focus on practical, scalable solutions, she is establishing herself as a key innovator in smart manufacturing and automated repair technologies.
Research Focus
Key Achievements
Top Papers
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