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

Published on by Computer Scientists Awards

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).

 

Cyruss Tsurgeon | Data Visualization | Bioinformatics Contribution Award

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Mr. Cyruss Tsurgeon | Data Visualization | Bioinformatics Contribution Award

PhD Student, Meharry Medical College, United States

🌟 Cyruss Tsurgeon is a dedicated Biomedical Data Science graduate student and seasoned clinical scientist based in Rancho Cucamonga, CA. With a wealth of experience in diagnostic data interpretation and clinical medicine, Cyruss combines his technical acumen with a passion for advancing healthcare through data science. His impressive journey spans decades of leadership, research, and healthcare administration, making him a valuable contributor to the scientific and medical communities.

Publication Profile

Education

🎓 Cyruss holds an MS in Biomedical Data Science (2022–2023) from Meharry Medical College, Nashville, TN. He also earned an MS in Molecular Biotechnology (2000–2003) from Johns Hopkins University and dual BS degrees in Biochemistry and Microbiology (1987–1992) from the University of Washington, Seattle. Additionally, he has completed certifications such as the Google Data Analytics Professional Certificate and the Executive Data Science Specialization from Coursera, equipping him with expertise in data analytics, R programming, and visualization tools.

Experience

💼 Cyruss boasts a diverse professional background, including over a decade as a Clinical Laboratory Manager/Scientific Director in the US Army, where he led medical laboratories and implemented protocols for risk management and quality improvement. His tenure as a Biologist/Research Scientist at the NIH involved DNA sequencing and genome analysis. Earlier in his career, he served as a Healthcare Administrator in the US Army and a Research Associate at prominent institutions, contributing to molecular biology and comparative genomic studies.

Awards and Honors

🏆 Cyruss has achieved prestigious laboratory certifications, including DLM(ASCP)CM and MLS(ASCP)CM, showcasing his expertise in laboratory medicine. His contributions to clinical data science and diagnostics have been recognized through impactful research and publications in leading journals like Nature and Genome Research.

Research Focus

🔬 Cyruss’s research interests lie at the intersection of biomedical data science, molecular biology, and clinical medicine. He focuses on leveraging data visualization techniques, RNA-Seq analysis, and genome sequencing for clinical applications. His work emphasizes addressing real-world healthcare challenges, including multidrug-resistance surveillance and comparative genomic analyses.

Conclusion

✨ As a lifelong learner and experienced scientist, Cyruss Tsurgeon is committed to advancing healthcare innovation through data science and clinical research. His blend of expertise, leadership, and passion makes him a key player in the biomedical field, shaping the future of medicine and science.

Publications

Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications
Bioengineering, 2025-01-12
DOI: 10.3390/bioengineering12010056

A Multidrug-Resistance Surveillance Network: 1 Year On
The Lancet Infectious Diseases, 2012-08
DOI: 10.1016/s1473-3099(12)70149-4

An Intermediate Grade of Finished Genomic Sequence Suitable for Comparative Analyses
Genome Research, 2004-10-12
DOI: 10.1101/gr.2648404

Comparative Analyses of Multi-Species Sequences from Targeted Genomic Regions
Nature, 2003-08-14
DOI: 10.1038/nature01858