Assoc. Prof. Dr. A’aeshah Alhakamy | Computer Graphics | Best Researcher Award

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Assoc. Prof. Dr. A’aeshah Alhakamy | Computer Graphics | Best Researcher Award

Assoc. Prof. Dr. A’aeshah Alhakamy | Associate Professor | University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’aeshah Alhakamy is a distinguished academic and researcher in the field of Computer Science at the University of Tabuk, Saudi Arabia. Her research spans computer graphics, computer vision, visualization, and imaging, with a particular focus on illumination models in mixed and augmented reality (AR/MR), gesture-based interaction, and the convergence of vision and artificial intelligence in immersive environments. Her scholarly contributions bridge the gap between visual perception and computational intelligence, emphasizing human–data interaction, extended reality (XR) technologies, and AI-driven visual analytics. She has successfully supervised graduate research in emerging domains such as extended reality applications for industrial training and biometric authentication systems using AI. Dr. Alhakamy’s research outputs demonstrate a deep commitment to advancing both theoretical and applied dimensions of visual computing and human–computer interaction. Her academic excellence is reflected through strong research metrics, including Scopus with 254 citations from 235 documents and an h-index of 9, and Google Scholar with 417 citations, an h-index of 11, and an i10-index of 13. These indicators highlight her growing influence and recognition in the international research community.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

  • Alhakamy, A. (2025). Intersecting realms: Examining the convergence of vision and AI in extended reality graphics. IEEE Access, 1–1.

  • Alhakamy, A. (2024). Extended reality (XR) toward building immersive solutions: The key to unlocking Industry 4.0. ACM Computing Surveys, 56(9).

  • Alhakamy, A. (2023). Fathoming the Mandela effect: Deploying reinforcement learning to untangle the multiverse. Symmetry, 15(3).

  • Alatawi, H., Albalawi, N., Shahata, G., Aljohani, K., Alhakamy, A., & Tuceryan, M. (2023). Augmented reality-assisted deep reinforcement learning-based model towards industrial training and maintenance for NanoDrop spectrophotometer. Sensors, 23(13).

  • Albalawi, S., Alshahrani, L., Albalawi, N., Kilabi, R., & Alhakamy, A. (2022). A comprehensive overview on biometric authentication systems using artificial intelligence techniques. International Journal of Advanced Computer Science and Applications, 13(4).