Salha A.

After KAUST Academy

Salha started a new position as an AI Engineer at a government entity in June 2026. Salha co-authored an IEEE conference paper on structural fault classification for a nano quadcopter, published in May 2025.

Summer project

Artificial Intelligence Specialization · Cohort 2024

Deep Learning-Based Fault Detection System for Structural Defects in Nano-Quadcopters

Detecting faults in nano-quadcopters is critical to ensuring safety and performance. This study proposes a deep learning-based system for detecting structural defects in real time. Utilizing advanced feature engineering and dimensionality reduction techniques, the proposed model offers a reliable and efficient solution for ensuring the integrity and functionality of nano-quadcopters in various applications with high accuracy and low inference time.

Read the final report (PDF)

See it in the program report (PDF)

With KAUST Academy

All alumni

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