Ahmed Seyam is a lecturer in the Department of Computer Engineering and Computational Science at Canadian University Dubai. He holds a master’s degree in Software Engineering, with a specialization in artificial intelligence; with over seven years of extensive teaching experience in computer science. His research is centered around the dynamic field of text mining with AI.

Selected Publications:

• A. A. Seyam, A. Hamdy and M. S. Farhan, "Code Complexity and Version History for Enhancing Hybrid Bug Localization," in IEEE Access, vol. 9, pp. 61101-61113, 2021, doi: 10.1109/ACCESS.2021.3074266.
• Y. Kanaparthi, T. M. Abdellatif, A. A. Seyam and G. B. Satrya, "Identifying Security Threats in the System Using Automated Security Logs," 2024 Third International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART), Dubai, United Arab Emirates, 2024, pp. 1-5, doi: 10.1109/SMART63170.2024.10815284.
• T. Mohamed Abdellatif, S. Rashid Majeed, A. Hamed and A. Ali Seyam, "AAPDEM: An Intelligent Model for Automated Attack Path Discovery and Exploitation in Modern Networks," in IEEE Access, vol. 13, pp. 160490-160507, 2025, doi: 10.1109/ACCESS.2025.3607976.