AI-Driven National Cyber Defense and Resilience Strategies

Mounia Zaydi

Mounia Zaydi is an Associate Professor of Cybersecurity at JUNIA ISEN Engineering School and a researcher at the Interdisciplinary Laboratory of Transitions of the Catholic University of Lille, France. She is a member of IEEE and the International Association of Engineers (IAENG). Her research focuses on information security and privacy, network and IoT security, IT governance, risk management, and the application of artificial intelligence to cybersecurity operations, incident response, and digital transformation. Her work particularly addresses the role of AI in enhancing security agility, threat detection, and resilience within complex information systems. Prof. Zaydi has authored and co-authored numerous peer-reviewed publications, including journal articles and book chapters, and actively contributes to the academic community as a reviewer and member of executive and technical program committees for international conferences and journals.

Yassine Maleh

Yassine Maleh is an Associate Professor of Cybersecurity and IT Governance at Sultan Moulay Slimane University, Morocco. He is the founding chair of the IEEE Consultant Network Morocco and the founding president of the African Research Center of Information Technology & Cybersecurity. He is a Senior Member of IEEE and a member of IAENG and the Machine Intelligence Research Labs. His research activities focus on information security and privacy, Internet of Things security, wireless and constrained networks, and IT governance. He has authored and edited numerous scholarly works, including journal articles, conference papers, and books, and is widely recognized for his contributions to cybersecurity research and knowledge dissemination. Maleh holds several key editorial roles, including Editor-in-Chief and Associate Editor positions in leading international journals, and serves as a series editor for academic book collections in cybersecurity management. He is actively involved in the organization of international conferences and regularly contributes as a reviewer and program committee member for high-impact journals and conferences. His academic leadership and service activities have significantly contributed to advancing cybersecurity research at both regional and international levels.

Hayat Zaydi

Hayat Zaydi is a Professor of Computer Science at the National Superior School of Mines of Rabat (ENSMR), Morocco. She is a Cisco Academy Instructor and a member of the International Association of Engineers (IAENG). Her research spans the Internet of Things, with a particular emphasis on healthcare-oriented applications, as well as artificial intelligence and distributed computing paradigms such as edge, fog, and cloud computing. A central focus of her work lies in the design of secure and resilient data-driven architectures integrating machine learning and deep learning techniques, especially within Internet of Medical Things (IoMT) environments. Zaydi has published extensively in international journals, conferences, and edited volumes. She is actively engaged in the academic community through her participation in technical program committees and as a reviewer for numerous international scientific venues. Her work bridges advanced computing architectures, AI, and cybersecurity to address emerging challenges in smart and healthcare systems.

Youness Khourdifi

Youness Khourdifi is a Professor and Researcher in Computer Science at Sultan Moulay Slimane University, Morocco, where he teaches at the Faculty of Polydisciplinary Studies of Khouribga. He is an active member of the Laboratory of Material Sciences, Mathematics, and Environment (LS2ME) and is affiliated with professional organizations including IEEE, ACM, IAENG, and Fondation Maroc Numérique. His research interests lie at the intersection of artificial intelligence, data engineering, and healthcare technologies. His work includes database migration and interoperability, particularly the automation of relational-to-NoSQL transformations, as well as the application of deep learning techniques to medical data analysis. He also investigates issues related to information security, IoT security, big data, and intelligent systems. Khourdifi has authored numerous scientific publications and actively contributes to the research community as a reviewer and program committee member in the fields of artificial intelligence and data science. Through his academic and organizational activities, he promotes interdisciplinary collaboration and the practical application of advanced computational methods to real-world challenges.

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