Biography
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.
Academic Publications
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Menon, P., Aburamadan, N., Seyam, A. A., & Kolankeh, A. K. (2026). Automated learning path evaluation with AI-generated judges. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 279, pp. 191–200). Springer. https://doi.org/10.1007/978-981-95-4423-3_12
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Mohamed Abdellatif, T., Rashid Majeed, S., Hamed, A., & Ali Seyam, A. (2025). AAPDEM: An intelligent model for automated attack path discovery and exploitation in modern networks. IEEE Access, 13, 160490–160507. https://doi.org/10.1109/ACCESS.2025.3607976
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Kanaparthi, Y., Abdellatif, T. M., Seyam, A. A., & Satrya, G. B. (2024). Identifying Security Threats in the System Using Automated Security Logs. 2024 3rd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2024. ). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SMART63170.2024.10815284