A’eashah Alhakamy | Data Visualization | Research Excellence Award

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Assoc. Prof. Dr. A’eashah Alhakamy | Data Visualization | Research Excellence Award

University of Tabuk | Saudi Arabia

Assoc. Prof. Dr. A’eashah Alhakamy is an academic leader and researcher in computer science whose work spans computer graphics, computer vision, imaging, visualization, and extended reality, with a scholarly record comprising 27 published documents, 271 citations from 250 citing documents, and an h-index of 9. She earned her Ph.D. and M.Sc. in Computer Science from Purdue University, specializing in illumination integration in dynamic augmented-reality environments, following a B.Sc. in Computer Science from Taibah University. She serves as Associate Professor and Department Chair at the University of Tabuk, holding key leadership roles in data governance, academic affairs, research centers, and national committees. Her research focuses on augmented and extended reality, human-computer interaction, data visualization, immersive technologies, and AI-driven sensing systems, contributing to reputable venues such as IEEE Access, Applied Sciences, Sensors, and Sustainability. She has received multiple awards for outstanding scientific research, excellence in teaching, innovation, and high-impact publications from the University of Tabuk and national academic bodies. In addition, she has led funded grants, supervised numerous postgraduate and undergraduate projects, and contributed to major institutional initiatives. Through research, leadership, and continuous academic service, she remains committed to advancing immersive technologies and impactful computing research.

Profiles : Scopus | Orcid

Featured Publications

Alhakamy, A. (2025). Intersecting Realms: Examining the Convergence of Vision and AI in Extended Reality Graphics. IEEE Access. https://doi.org/10.1109/ACCESS.2025.3599337

Friedman, A., Tazike, M., Shelton, E. G., Patel, N. A., Alhakamy, A., & Cafaro, F. (2025). Puppeteers and Forecasters: How Children Engage. Conference paper. https://doi.org/10.1145/3694907.3765950

Alhakamy, A. (2025). Advancing SDG5: Machine Learning and Statistical Graphics for Women’s Empowerment and Gender Equity. Sustainability. https://doi.org/10.3390/su17219706

Friedman, A., Tazike, M., Shelton, E. G., Patel, N., Alhakamy, A., & Cafaro, F. (2025). “I’m a Fish!”: Exploring Children’s Engagement with Human–Data Interactions in Museums. Applied Sciences. https://doi.org/10.3390/app152111304

Alhakamy, A. (2024). Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0. ACM Computing Surveys. https://doi.org/10.1145/3652595

Juan Emilio Zurita Macias – Machine Learning Applications – Best Researcher Award 

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Mr. Juan Emilio Zurita Macias - Machine Learning Applications - Best Researcher Award 

Satellite Applications Catapult - United Kingdom 

Author Profile

Early Academic Pursuits

Mr. Juan Emilio Zurita Macías began his academic journey with a solid foundation in telecommunications and information technology. Starting with his Technical Superior studies in Telecommunication and Computer Systems at I.E.S Caura, he displayed early aptitude and enthusiasm for the field. His undergraduate degree in Telecommunication Technologies Engineering from the University of Seville further honed his skills and knowledge in the domain. During this period, he engaged in various extracurricular activities, including leadership roles within IEEE, showcasing his proactive approach to personal and professional development.

Professional Endeavors

Mr. Zurita Macías seamlessly transitioned from academia to the professional realm, accumulating valuable experience across diverse roles and industries. From his tenure as a Software Web Developer at Instituto Europeo de Desarrollo y Tecnologia Multimedia S.L to his positions at GALGUS and beyond, he consistently demonstrated proficiency in software engineering, system development, and quality assurance. His roles at McAfee and aigaming.com further enriched his expertise, contributing to his comprehensive understanding of software development lifecycle and quality assurance processes.

Contributions and Research Focus

Throughout his career, Mr. Zurita Macías has actively contributed to the advancement of technology and knowledge dissemination. His involvement with IEEE, spanning various leadership positions, underscores his commitment to fostering collaboration and learning within the community. Notably, his contributions to the development of wireless access points for aviation at GALGUS highlight his technical prowess and problem-solving abilities. Additionally, his engagement in designing test automation frameworks and conducting performance analysis underscores his dedication to efficiency and reliability in software engineering.

Accolades and Recognition

Mr. Zurita Macías's contributions have not gone unnoticed, garnering recognition for his excellence in both academic and professional spheres. His leadership roles within IEEE, particularly as Chairman of the Student Branch at the University of Seville, signify his impact on shaping future generations of technologists. Furthermore, his consistent performance and dedication in his professional roles have earned him respect and commendation from colleagues and peers.

Machine learning applications have permeated virtually every facet of modern life, revolutionizing industries and transforming the way we interact with technology. One prominent area where machine learning excels is in natural language processing (NLP). NLP algorithms enable computers to understand, interpret, and generate human language, powering applications such as sentiment analysis, language translation, chatbots, and voice assistants. These advancements have significantly enhanced communication between humans and machines, facilitating more intuitive and seamless interactions across various platforms and devices.

Impact and Influence

Mr. Zurita Macías's multifaceted career path and contributions have left a lasting impact on both the organizations he's been a part of and the broader technological landscape. His involvement in developing solutions for critical industries like aviation showcases his ability to leverage technology for real-world applications. Moreover, his efforts in education, through teaching and organizing workshops, have inspired and empowered aspiring technologists, contributing to the cultivation of talent in the field.

Another critical domain benefiting from machine learning is computer vision. By teaching computers to interpret and understand visual data, computer vision applications have made remarkable strides in fields like healthcare, where medical image analysis aids in diagnosing diseases and identifying abnormalities. Furthermore, computer vision enables facial recognition systems for enhanced security, object detection for autonomous vehicles, and image classification for content moderation and recommendation systems.

Legacy and Future Contributions

As Mr. Juan Emilio Zurita Macías continues to progress in his career, his legacy as a versatile and dedicated technologist is already apparent. His proficiency in telecommunications, software engineering, and data science positions him as a valuable asset in addressing complex challenges and driving innovation forward. Looking ahead, his commitment to continuous learning and collaboration ensures that his future contributions will continue to shape the trajectory of technology, benefiting both organizations and society at large.

Notable Publication

Machine learning-based prediction model for battery levels in IoT devices using meteorological variables Internet of Things 2024-04