Ebtihal Almashama

بعد أكاديمية كاوست

As of October 2026, Ebtihal works at KPMG Middle East. Ebtihal earned the SDAIA Machine Learning Practitioner certificate in December 2023, was a teaching assistant for the KAUST Academy Bioinformatics program in January 2024, and joined the Summer BI program in 2024.

المشاريع الصيفية

تخصص المعلوماتية الحيوية · دفعة 2024

AI for Examining Commercial Determinants of Health in Online Gaming and Gambling

Online gambling, driven by technical innovation and accessibility, poses significant challenges in regulation and public health. In Ontario, gambling participation has surged, with $63 billion in online bets last year, raising concerns about gambling-related harms. Researchers have explored machine-learning methods to identify problematic gambling, but challenges like limited user data and insufficient focus on social aspects persist. Our project addresses these gaps by using publicly available data to develop an interactive tool that highlights the social dynamics of online gambling. This tool will identify key factors, create novel visualizations, and enhance data collection, providing insights to support public health strategies and responsible gambling practices

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 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.

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 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.

اطّلع عليه في تقرير البرنامج (PDF)

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