Assoc. Prof. Dr. A’aeshah Alhakamy | Visualization | Women Researcher Award
Assoc. Prof. Dr. A’aeshah Alhakamy | Visualization | Associate Professor at University of Tabuk | Saudi Arabia
Assoc. Prof. Dr. A’aeshah Alhakamy is a highly accomplished computer scientist and academic leader whose research bridges Computer Graphics, Computer Vision, Visualization, Imaging, and Extended Reality (XR). She earned her Ph.D. in Computer Science from Purdue University, Indianapolis, USA, where her doctoral work focused on the extraction and integration of physical illumination in dynamic augmented reality environments. Dr. Alhakamy also holds a Master’s degree in Computer Science from Purdue University and a Bachelor’s degree in Computer Science from Taibah University, Saudi Arabia. She currently serves as Associate Professor and Chair of the Computer Science Department at the University of Tabuk, where she has held multiple leadership and research roles including Deputy Supervisor of the Data Governance Unit, Vice Chair of the Executive Committee for Data Management, Erasmus+ Liaison Officer, and Researcher at the Artificial Intelligence and Sensing Technologies (AIST) Center. Her professional experience also includes over a decade of academic service at the University of Tabuk, where she has contributed to developing curricula, leading data governance initiatives, and mentoring students in computer science and AI research. Dr. A’aeshah Alhakamy’s research interests span immersive systems, augmented and virtual reality, artificial intelligence, human-computer interaction, and intelligent visualization systems that enhance industrial, educational, and scientific applications. Her scientific achievements are reflected in numerous high-impact publications in IEEE, ACM Computing Surveys, and other Scopus-indexed journals with significant citation impact. Her scholarly works explore the intersection of XR technologies, machine learning, and human-data interaction, addressing complex computational challenges in Industry 4.0 environments. She has also collaborated with international researchers through programs like Erasmus+, strengthening global research partnerships. Dr. Alhakamy’s technical expertise includes data-driven modeling, real-time visualization, generative networks, and algorithmic optimization, supported by a deep understanding of both theoretical and applied computing principles. Her outstanding contributions have been recognized through multiple national and institutional honors, including several Outstanding Scientific Research Awards from the University of Tabuk, the President’s Award for Research and Innovation, and the National E-Learning Excellence Award. She has also received incentive rewards for high citation performance and excellence in mentoring graduate students. Certified in Supervisory Leadership and Data Management Practices, she continues to contribute to digital transformation in higher education and research. In conclusion, Assoc. Prof. Dr. A’aeshah Alhakamy stands as a leading figure in computer science research and innovation, combining academic excellence, scientific leadership, and global collaboration to advance immersive technologies and artificial intelligence for a smarter, more connected future.
Featured Publications
Alhakamy, A. (2024). Extended Reality (XR) toward building immersive solutions: The key to unlocking Industry 4.0. ACM Computing Surveys. Citations: 39
Alhakamy, A., Alsaiari, A., Rustagi, R., Thomas, M. M., & Forbes, A. G. (2019). Image denoising using a generative adversarial network. Proceedings of the IEEE 2nd International Conference on Information and Computer Technologies. Citations: 84
Trajkova, M., Alhakamy, A., Cafaro, F., & Kankara, S. R. (2020). Move your body: Engaging museum visitors with human-data interaction. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Citations: 51
Alhakamy, A., Alhowaity, A., Alatawi, A. A., & Alsaadi, H. (2023). Are used cars more sustainable? Price prediction based on linear regression. Sustainability, 15(2), 911. Citations: 29
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), 1–11. Citations: 39
Trajkova, M., Alhakamy, A., Cafaro, F., Vedak, S., & Mallappa, R. (2020). Exploring casual COVID-19 data visualizations on Twitter: Topics and challenges. Informatics, 7(3), 35. Citations: 27
Alhakamy, A. A., & Tuceryan, M. (2020). Real-time illumination and visual coherence for photorealistic augmented/mixed reality. ACM Computing Surveys (CSUR), 53(3), 1–34. Citations: 25