Faten S. Alamri

Princess Nourah bint Abdulrahman University

Papers

Total Citations

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About

Dr. Faten S. Alamri is a rising leader in artificial intelligence, with a research focus on explainable AI, computer vision, and human-computer interaction. Her most impactful contribution is the development of SignExplainer, an explainable AI framework for sign language recognition that leverages ensemble learning. This work, published in 2023 and already garnering 57 citations, addresses a critical gap in AI transparency by making deep learning models for gesture interpretation more interpretable and trustworthy. Dr. Alamri also advances digital image processing, as demonstrated in her 2024 paper on image fusion using wavelet transformation and XGBoost, which enhances the clarity and informativeness of composite images. Her research bridges the gap between cutting-edge deep learning techniques and practical, socially beneficial applications—particularly for accessibility technologies. With a growing citation record and a focus on both algorithmic innovation and real-world usability, Dr. Alamri is establishing herself as a key voice in the movement toward more ethical, understandable, and inclusive AI systems.