Kinda almughazaz

• Conducted advanced research on aviation cybersecurity using machine learning and deep learning techniques for ADS-B anomaly detection.
• Collected and preprocessed large-scale flight data from multiple airports for experimental analysis.
• Designed and implemented ML/DL models (TabNet, 1D/2D CNN) to identify spoofing and injection attacks.
• Collaborated with faculty and graduate researchers to interpret results, create visualizations, and prepare manuscripts for IEEE publication.
• Contributed to research presentations, technical reports, and data visualization using Python, MATLAB, and Visio.

Designed and simulated a solar power plant using MATLAB and Simulink, optimizing overall energy production.

Conducted performance analysis, identifying issues and implementing corrective measures that significantly increased energy output.

Assisted in the installation and maintenance of solar panels, ensuring operational efficiency through regular performance checks and troubleshooting.

Enhanced expertise in sustainable energy, contributing to a carbon emissions reduction project