Dr. Saada Khadragy

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Dr. Saada Khadragy
Assistant Professor
College of Arts and Science
drsaada.khadragy@uaqu.ac.ae

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    Biography

    Saada Khadragy is an Assistant Professor of Computer Science at the College of Arts and Sciences at Umm Al Quwain University (UAQU), and Director of the Cybersecurity Program. Her lectures and research focus on Artificial Intelligence, Data Mining, Deep Learning, Software Engineering, Internet of Things (IoT), and Emerging Technologies, with a particular emphasis on cybersecurity education, cyber threat intelligence, and AI-driven defense systems. Her work explores the intersection of machine learning and cybersecurity, developing predictive models for threat detection, system vulnerabilities, and digital risk management. She is especially recognized for her research in adaptive systems, including the use of Adaptive Neuro-Fuzzy Inference Systems for predictive analytics in education and security.

    Her research has been published in internationally recognized academic journals, including Computer Integrated Manufacturing Systems, Informatics in Medicine Unlocked, and the South Eastern European Journal of Public Health, and has been presented in academic conferences and professional cybersecurity forums across the region. Beyond academia, Saada is actively engaged in public speaking and thought leadership through her collaboration with the Cyber Wales Institute, where she shares current insights on evolving cyber threats, resilience strategies, and digital trust.

    Prior to joining UAQU in 2023, Saada served as Assistant Professor and Head of the Distance Learning Unit at City University Ajman from 2017 to 2023. There, she played a leading role in advancing institutional online education, integrating digital pedagogy, and supporting the development of secure, scalable e-learning infrastructures. She also completed a Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin in 2021, enhancing her capabilities in designing AI-powered, cybersecurity-conscious systems and applications.

    She holds a Ph.D. in Computer Science with a specialization in Artificial Intelligence from the British University in Dubai (UAE), and has built a strong interdisciplinary academic profile that combines advanced AI techniques, applied cybersecurity, and innovative computing education.

    Terminal Degree: Ph.D. in Computer Science, The British University in Dubai (UAE), 2020.

     

     

  • Academic Publications

    • Selim, N., Hassan, D., Mashal, D., & Khadragy, S. (2025). Exploring the Effects of Using AI Technologies in Higher Education Institutions in UAE. Journal of Curriculum and Teaching, 13(5).
    • Selim, N., Hassan, D., Hegazy, A., Ali, S., & Khadragy, S. (2024). Factors influencing the use of media faculty members at Arab universities for artificial intelligence applications in teaching and research. International Journal of Innovative Research and Scientific Studies, 8(3), 3800–3812.
    • Khadragy, S. (2024). Artificial intelligence in pharmacy: Revolutionizing medical education delivery. In: Artificial Intelligence in Education: The Power and Dangers of ChatGPT in…
    • Khadragy, S. (2024). Empowering Education Through the Internet of Things (IoT). In: Artificial Intelligence in Education: The Power and Dangers of ChatGPT in…
    • Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., & Khadragy, S. (2023). Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study. Informatics in Medicine Unlocked, 42, 101354.
    • Alkashami, M., Taamneh, A. M., Khadragy, S., Shwedeh, F., Aburayya, A., & Salloum, S. A. (2023). AI different approaches and ANFIS data mining: A novel approach to predicting early employment readiness in Middle Eastern nations. International Journal of Data & Network Science, 7(3), 1267–1282.
    • Tahat, K., Mansoori, A., Tahat, D. N., Habes, M., Alfaisal, R., Khadragy, S., … (2022). Detecting fake news during the COVID‑19 pandemic: a SEM‑ML approach. Computer Integrated Manufacturing Systems, 28(12), 1554–1571.
    • Khadragy, S., Elshaeer, M., Mouzaek, T., Shammass, D., Shwedeh, F., … Aljasmi, S. (2022). Predicting Diabetes in United Arab Emirates Healthcare: Artificial Intelligence and Data Mining Case Study. South Eastern European Journal of Public Health, 5.
    • Khadragy, S. (2022). Artificial Intelligence and the future of employment; a systematic review of the state-of-the-art literature. International Journal of Mechanical Engineering, 7, 3118–3125.
    • Khadragy, S. (2021). Adaptive Network Based Fuzzy Inference System and the Future of Employability. Journal of Network and Complex Systems, 5, 24–32.
    • Khadragy, S. (2021). Adaptive Neuro‑Fuzzy Inference System for Prediction of Computer Science Graduates’ Employability in the Middle East. Advances in Mechanics, 9(3), 252–274.
    • Khadragy, S. (2020). Data analytics: Adaptive network-based fuzzy inference system for prediction of computer science graduates’ employability. PQDT-Global (Ph.D. Dissertation).
    • Khadragy, S. (2020). The future of software engineering by 2050. Journal of Computer Engineering and Intelligent Systems, 48.
    • Khadragy, S. A., & AbuOmar, S. (2018). Discovering Facebook as an Appropriate Environment for Learning from the City University College of Ajman Students’ Point of View. Research on Humanities and Social Sciences, 8(22).
    • Alderbashi, K., & Khadragy, S. (2018). Exploring the level of utilizing online social networks as conventional learning settings in UAE from college instructors’ perspectives. New Media and Mass Communication, 75, 30–38.
    • Khadragy, S. (2016). The impact of the flipped classroom model of instruction on the reading achievement of ninth grade female Emirati students in the Qurtoba public school in Dubai. Ph.D. Dissertation.

     

  • - Introduction to Information Technology
    - Introduction to GIS

     

  • No ORCID link provided.