Shatha Alsaidy

After KAUST Academy

Shatha won the first place grand award at the Ministry of Interior's Absherthon in May 2025 and was a semi-finalist in StartAD's AI for Good Sandbox in October 2025. Shatha also co-authored an IEEE paper on fault classification for a nano quadcopter.

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

Want your entry updated or removed? Contact us.