Al Hussein Technical University | Jordan
Dr. SAFAA HRIEZ is an experienced academic professional working as an Assistant Professor with expertise in Security, Secure Coding, Computing Research, Networking, Forensics, Data Structures, Algorithms, Object-Oriented Programming, Database Systems, Operating Systems, and Deep Learning. She has delivered both theoretical and practical courses across multiple universities and training programs, consistently achieving high student evaluations. Her teaching experience spans on-campus and online platforms including Zoom and Microsoft Teams, and she has contributed to various institutional committees such as ABET, Scientific Research and Conferences, Graduation Projects, Practical Training, and Library Committees. She is proficient in multiple programming languages including Python, C, C++, C#, Java, MATLAB, PHP, Android, HTML, CSS, JavaScript, Visual Basic, Oracle, and MySQL, with hands-on experience in Linux and Windows operating systems. Her data science profile includes working with TensorFlow, Scikit-learn, Pandas, Matplotlib, and Numpy, alongside practical knowledge of machine learning fundamentals, linear and logistic regression, clustering, ensemble methods, probabilistic models, neural networks, CNNs, and RNNs for real-world applications. She is also certified in AI and possesses strong digital security expertise with tools such as FTK, Autopsy, Wireshark, Metasploit, and Immunity Debugger, covering offensive and defensive security techniques, network forensics, database security, memory corruption, web application attacks, and automation of security tasks. Her technical strengths also extend to data analysis techniques, including spatio-temporal analysis.
Hriez, S., & Hmidan, M. (2025). Energy-saving potentials in high-temperature data centers: A spatio-temporal analysis. Results in Engineering, 108–138.
Hriez, S. (2025). Face swap detection: A systematic literature review. IEEE Access.
Hriez, S., & Hmidan, M. (2025). Temperature forecasting for high-temperature data centers: Enhancing energy efficiency through predictive modeling. In 2025 12th International Conference on Information Technology (ICIT).
Hriez, S., Almajali, S., Elgala, H., Ayyash, M., & Salameh, H. B. (2021). A novel trust-aware and energy-aware clustering method that uses stochastic fractal search in IoT-enabled wireless sensor networks. IEEE Systems Journal.
Al Gharaibeh, R. S., Ali, M. Z., Daoud, M. I., Alazrai, R., AbdelNabi, H., Hriez, S., & Suganthan, P. N. (2021). Real parameter constrained optimization using enhanced quality-based cultural algorithm with novel influence and selection schemes. Information Sciences.