introduction/brief CV
I am an AI and cybersecurity researcher at the Cybersecurity Research Chair, King Saud University, with a PhD in Computer Science and over nine years of experience in teaching, research, and applied technology development.
My work lies at the intersection of cybersecurity, machine learning, and digital identity systems, with a primary focus on detecting identity impersonation and profile cloning attacks in social networks. Through my doctoral research, supervised by Prof. Ahmad AlMogren we developed machine learning–based models for predictive threat detection, combining behavioral analysis, anomaly detection, and multi-dimensional feature engineering. This work addresses critical challenges in modern digital ecosystems, including synthetic identities, AI-generated profiles, and evolving forms of online fraud.
In addition to social network security, my research spans trust management in IoT and distributed systems, anomaly detection, and secure intelligent systems for autonomous platforms. I have contributed to multiple peer-reviewed publications in high-impact journals, including IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, and PeerJ Computer Science, reflecting a consistent focus on applied, real-world cybersecurity challenges.
Alongside my research, I have extensive teaching experience at King Saud University, where I have delivered undergraduate courses in programming, computer networks, computer security, and web technologies. I have been actively involved in student mentoring, laboratory supervision, and academic development, with a strong emphasis on building analytical thinking and problem-solving skills.
My broader goal is to contribute to the design and development of secure, intelligent, and trustworthy digital systems by bridging advanced research with practical deployment. I am particularly interested in collaborative research and interdisciplinary initiatives that combine AI, cybersecurity, and large-scale distributed systems to address emerging challenges in identity, trust, and autonomous technologies.
areas of expertise
• Cybersecurity and machine learning • Digital identity security and threat detection • Anomaly detection and social network security • IoT security and trust management in distributed systems • Security of autonomous and intelligent systems
courses
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This course continues the coverage of the fundamental concepts of Object Oriented Programming started in Programming I (CSC 111)