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Ahmed Aljuaid

After KAUST Academy

Ahmed earned the PMP in November 2024 and the PMI-PBA in February 2025. In February 2026, the National Company for Mechanical Systems gave Ahmed an excellence award, and Ahmed served as a technical supervisor at the Defensethon in May 2026. Ahmed works at the National Company for Mechanical Systems.

Summer projects

Artificial Intelligence Specialization · Cohort 2024

Tactical Target Differentiation

The AF-100 Tactical Target Differentiation project focuses on developing an advanced computer vision system to accurately distinguish between military and civilian objects in real-time during military operations. Utilizing deep learning techniques like Convolutional Neural Networks (CNNs) and Transfer Learning, the system enhances target identification and classification. Object detection algorithms, including YOLO and Faster R-CNN, are employed to ensure rapid and accurate differentiation in various environments. Image segmentation methods, like U-Net, improve detection accuracy, particularly in complex scenes. The project also explores synthetic data generation and domain adaptation to ensure robustness. The system is designed for integration into existing military reconnaissance and

See it in the program report (PDF)

Artificial Intelligence Specialization · Cohort 2023

Multimodal Approach: For Palm Diagnosis and Red Weevil Early Detection

The project is about developing a system that can identify and diagnose palm trees that are infested by red palm weevils, a species of pests that causes serious damage to palm trees worldwide. The system uses a deep multimodal approach that combines audio and image data to detect infestation in early stages and provide accurate treatment recommendations. The project aims to protect palm trees from red palm weevils and reduce their economical and environmental impact.

See it in the program report (PDF)

Artificial Intelligence Specialization · Cohort 2023

Yaqeen: Deep Learning-Based System for Unbiased Recruitment

Yageen is an AI-powered recruitment system that helps employers find the best employees, regardless of their background, gender, race, or other factors. Yageen addresses the problem of bias and discrimination in the hiring process, which can lead to missed opportunities, lower diversity, and legal risks. Yageen targets the HR and recruitment industry, as well as any organization that wants to improve their hiring practices and outcomes.

See it in the program report (PDF)

With KAUST Academy

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