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

 

Biography

Dr. Saada Khadragy serves as an Assistant Professor of Computer Science within the College of Arts and Sciences. Her extensive research portfolio encompasses Artificial Intelligence, Data Mining, Deep Learning, Software Engineering, Internet of Things (IoT), Emerging Technologies, Adaptive Neuro-Fuzzy Inference System for Prediction, and various Computer Science-related subjects. Dr. Khadragy earned her Ph.D. in Computer Science/AI from the British University in Dubai and completed a Post Graduate Program in Artificial Intelligence and Machine Learning at The University of Texas at Austin in December 2021.

Before joining Umm Al Quwain University (UAQU) in September 2023, Dr. Khadragy previously held the position of Assistant Professor and Head of the Distance Learning Unit at City University Ajman from 2017 to 2023. She has also been actively engaged in public speaking engagements with the Cyber Wales Institute to publish Cybersecurity recent and most updated topics.

Dr. Khadragy's scholarly impact is underscored by her prolific publication record in esteemed international journals, including but not limited to Computer Integrated Manufacturing Systems, Informatics in Medicine Unlocked, and the South Eastern European Journal of Public Health.

 

List of publications

  • Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. (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.
  • Tahat, K., Mansoori, A., Tahat, D. N., Habes, M., Alfaisal, R., Khadragy, S., & Salloum, S. A. (2022). Detecting fake news during the COVID-19 pandemic: A SEM-ML approach. Comput. Integr. Manuf. Syst, 28(12), 1554-1571.
  • Khadragy, S., Elshaeer, M., Mouzaek, T., Shammass, D., Shwedeh, F., Aburayya, A., ... & Aljasmi, S. (2022). Predicting Diabetes in United Arab Emirates Healthcare: Artificial Intelligence and Data Mining Case Study. South Eastern European Journal of Public Health.
  • Khadragy, S. A. M. (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 (Doctoral dissertation, The British University in Dubai (BUiD)).
  • 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.
  • Alkashami, M., Taamneh, A., Khadragy, S., Shwedeh, F., Aburayya, A., & Salloum, S. (2023). AI different approaches and ANFIS data mining: A novel approach to predicting early employment readiness in middle eastern nations. International Journal of Data and Network Science, 7(3), 1267-1282.
  • Khadragy, S. A. M. (2020). The Future of Software Engineering by 2050. Future, 11(2).
  • Khadragy, S. (2020). Data Analytics: Adaptive Network-based Fuzzy Inference System for prediction of computer science graduates’ employability (Doctoral dissertation, The British University in Dubai (BUiD)).
  • Khadragy, S. Artificial Intelligence and the future of employment; a systematic review of the state of the art literature.
  • Sallouma, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. Informatics in Medicine Unlocked.
  • Khadragy, S. A. Exploring the Effect of Critical Reading Strategy in Undergraduate Students’ Writing from the Point of View of Instructors in the City University College of Ajman.
  • Khadragy, S. A. City University College of Ajman. United Arab Emirates. PO Box 18484, Ajman, UAE.
  • Khadragy, S., & Abdallah, S. (2021). Adaptive Network Based Fuzzy Inference System and the Future of Employability. Netw. Complex Syst., no. April, 24-32.
  • AbuOmar, S. A. K. S. A. Discovering Facebook as an Appropriate Environment for Learning from the City University College of Ajman Students’.
  • Khadragy, S., Elshaeer, M., Mouzaek, T., Shammass, D., Shwedeh, F., & Aburayya, A. & Aljasmi, S.(2022). Predicting Diabetes in United Arab Emirates Healthcare: Artificial Intelligence and Data Mining Case Study. South Eastern European Journal of Public Health.