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.

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Featured Publications

Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

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Mr. Sharon L Burton | Cybersecurity Data Analysis | Best Researcher Award

Embry-Riddle Aeronautical University | United States

Dr. Sharon L. Burton is a distinguished faculty member and industry consultant whose work bridges cybersecurity governance, risk management, AI‑driven education, and human resources strategy. She holds a Ph.D. in Cybersecurity Leadership (2022) and a DBA in Quality Systems Management (2015), alongside dual MBAs in Management and HRM. Her career spans roles as Assistant Professor of the Practice in the College of Aviation at Embry‑Riddle and Doctoral Dissertation Chair at Capitol Technology University. Dr. Burton has authored 38 documents with 157 citations, reflecting an h‑index of 5, demonstrating substantial contributions across domains. Her research interests include cybersecurity leadership, organizational behaviour in cyber contexts, AI/augmented education, and workforce resilience. She has published notable articles such as “Cybersecurity Leaders: Knowledge Driving Human Capital Development” and “Exploring the Nexus of Cybersecurity Leadership, Human Factors, Emotional Intelligence, Innovative Work Behavior and Critical Leadership Traits.” Her teaching embodies a student‑centred philosophy: hands‑on projects, reflective feedback, ethical responsibility, and real‑world problem solving. Among her recognitions are awards for teaching excellence, leadership development, and organisational transformation. In summary, Dr. Burton effectively synthesizes academic rigour and practitioner insight to prepare graduates and organisations for leadership in an ever‑evolving cybersecurity landscape.

Profiles : Scopus | Orcid

Featured Publications

Burton, S. L. (2025). “A Modular Framework for Cybersecurity Laboratory Design in Higher Education.” Laboratories.

Burton, S. L. (2025). “Navigating Digital Transformation.” In Book Chapter.

Burton, S. L. (2025). “Digital Saboteurs: Unmasking Insider Cybersecurity Threats in Aviation and Aerospace.” Law, Economics and Society.

Burton, S. L. (2024). “Advancing Cybersecurity.” In Book Chapter.

Burton, S. L. (2024). “Cybersecure Futures.” In Book Chapter.

Greene, B. A., & Burton, S. L. (2024). “Organizational Readiness for Artificial Intelligence (AI) in Network Security.” In Book Chapter.