Amna Smaoui
Papers
2
Total Citations
6
H-Index
2
About
Amna Smaoui’s research bridges the critical intersection of structural health monitoring and assistive robotics, with a focus on real-world safety and accessibility. Her most cited work introduces a novel, cost-effective method for estimating crack width in concrete structures—a key advancement for early defect detection in both civil and aerospace infrastructure, where visual inspection remains inefficient and error-prone. This contribution directly addresses the need for automated, non-destructive monitoring to prevent catastrophic structural failures. In parallel, Smaoui’s recent comparative analysis of SLAM algorithms for voice-controlled autonomous wheelchairs marks a significant step toward intelligent mobility aids. By identifying the most suitable mapping and navigation algorithms, her work enables wheelchairs to autonomously navigate, avoid obstacles, and respond to voice commands, enhancing independence for users with mobility impairments. Though early in her career, with papers accumulating citations from 2022 onward, Smaoui’s dual focus on infrastructure integrity and human-centered robotics demonstrates a commitment to applied, impactful engineering. Her research not only advances technical methodologies but also promises tangible improvements in safety and quality of life.
Research Focus
Key Achievements
Top Papers
- 1
- 2