Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

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Dr. Shaymaa Sorour | Artificial Intelligence | Best Researcher Award

King Faisal University | Saudi Arabia

Dr. Shaymaa E. Sorour is an Assistant Professor of Computer Science specializing in Artificial Intelligence, Machine Learning, Deep Learning, and Optimization, with a strong focus on educational technologies and intelligent learning systems. She earned her Ph.D. in Computer Science from Kyushu University, Japan (2016), following an M.Sc. in Computer Education and a B.Sc. in Computer Teacher Preparation with honors. Dr. Sorour has extensive academic experience across teaching, research, quality assurance, and academic advising, serving in faculty roles at King Faisal University, Saudi Arabia, and Kafrelsheikh University, Egypt. Her research integrates data mining, learning analytics, student performance prediction, adaptive and intelligent educational systems, and technology-enhanced learning, with publications in leading international journals and conferences. She has actively contributed to global scholarly communities through sustained participation in IEEE, LNCS, and international education and AI venues. Her scholarly impact includes 486 citations, 49 documents, and an h-index of 11, reflecting consistent contributions to AI in education and learning analytics (486 citations by 441 documents). Among her recognitions, she received a Best Paper Award at an international conference. Dr. Sorour’s work continues to bridge advanced computational intelligence with practical, scalable educational innovation, supporting data-driven decision-making and improved learning outcomes worldwide.

Citation Metrics (Scopus)

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Featured Publications

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

Ying Jin | Big Data Analytics | Best Researcher Awards

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Ying Jin | Big Data Analytics | Best Researcher Award

Professor, Nanjing University, China

Profile

 Scopus 

Prof. Jin Ying is a Professor at the Department of Computer Science and Technology, Nanjing University, widely recognized for her leadership and contributions in computer education, data mining, citation analysis, big data, and virtual reality applications. Her career bridges teaching, research, and academic service, reflecting a strong commitment to advancing both theoretical knowledge and practical innovations in the field of computer science. She has served in multiple influential academic and professional roles, helping shape the direction of education and technology integration in China.

Education

Prof. Jin began her academic journey in geochemistry and later transitioned into information management and computer science, bringing an interdisciplinary perspective to her work. She earned her Ph.D. in Management with a specialization in data mining and CSSCI research, which laid the foundation for her impactful contributions in citation analysis, big data, and education technology. Her diverse educational background allows her to integrate cross-disciplinary insights into computer science education and applied research.

Experience

Throughout her career at Nanjing University, Prof. Jin has advanced from teaching assistant to lecturer, associate professor, and eventually full professor. She teaches a wide range of courses including computer applications, Visual Basic, Python, and C programming, with her pedagogy focusing on innovation and practical engagement. Beyond the classroom, she serves as Group Lead of Visual Basic and Secretary of the Center of College Computer Test in Jiangsu Province. She is also an active member of the Computer Education Supervisory Committee (MOE, Liberal Arts), Jiangsu Computer Foundation Education Committee, and the Council on East China University Computer Foundation Education. Additionally, she contributes as a judge for the National College Computer Design Competition and as a peer reviewer for CSSCI-indexed journals.

Research Interests

Prof. Jin’s research integrates education and technology, addressing critical issues such as AI-driven talent training models, programming pedagogy reform in the AI era, flipped classroom strategies, big data course design for non-computer majors, and innovations in youth IT education. She has published widely in international journals and conferences, making significant contributions to the fields of data mining, education reform, and computational thinking. Her authored teaching resources, including College Basic Computer Applications and New Visual Basic Programming, are used across universities and contribute to improving computer education nationwide.

Awards

Prof. Jin’s achievements have been recognized through numerous awards and honors. She received the prestigious First Tan Haoqiang Computer Education Fund Outstanding Teacher Award and Nanjing University’s Shilin Teaching Award, reflecting her excellence in teaching and mentorship. She has also earned multiple best paper awards and nominations at international conferences, alongside prizes for guiding student projects in national-level computer design competitions. These recognitions highlight her dual impact as both a researcher and educator.

Featured Publications

  • Jin, Y. (2024). Exploration of K12 Multi-level Information and AI Talent Training Model.

  • Jin, Y. (2024). Exploration on Teaching Content Reform of Programming Course in the Era of AI.

  • Jin, Y. (2024). A survey of research on several problems in the RoboCup3D simulation environment.

  • Jin, Y. (2023). The Role of Science and Technology Innovation Competition in Talent Cultivation and Development.

  • Jin, Y. (2022). An approach for evaluating course acceptance based on Bayesian network. Int. J. of Intelligent Internet of Things Computing.

  • Jin, Y. (2022). Design and Implementation of a Cloud-Native Platform for Financial Big Data Processing Course.

  • Jin, Y. (2022). Hierarchical and Diverse Cultivation of Data Thinking Capability in College Based on New High School Curriculum Standards.

Conclusion

By combining rigorous scholarship, innovative teaching, and impactful leadership, Prof. Jin Ying has significantly advanced computer education reform and promoted the integration of technology with pedagogy. Her interdisciplinary vision and ability to merge data-driven methods with educational practice have influenced generations of students, equipping them with computational skills essential for the digital age. Through her roles in research, teaching, academic committees, and national projects, she continues to shape the landscape of computer science education in China and beyond, fostering a forward-looking environment that bridges research, practice, and innovation.