MrFarag El Zegil

Farag Elzegil holds a Master’s degree in Internetworking from the University of Technology, Sydney, awarded in 2012. He is currently pursuing a Ph.D. in Computer Science, specialising in Cybersecurity, at the University of Technology, Sydney. His research interests include cybersecurity, Intrusion Detection Systems, the Internet of Things (IoT), artificial intelligence, machine learning, deep learning, and federated learning.

His Ph.D. research focuses on designing lightweight Convolutional Neural Network (CNN) and Graph Neural Network (GNN) frameworks for detecting cyberattacks in IoT environments. This work has led to multiple peer-reviewed publications in high-impact venues, including the International Conference on Security of Information and Networks (SIN), the International Conference on Computer and Automation Engineering (ICCAE), and conference presentations at IEEE events.