Rate My Professor Fida Hasan

Dr. Hasan's career includes serving as a theme post-doctoral researcher overseeing projects for the Cyber Security Cooperative Research Centre (CSCRC), contributing to federal government-funded initiatives for the Department of Education, Skills, and Employment (DESE) related to the Australian Cyber Security Centre (ACSC), and delivering projects for the Transport and Main Roads (TMR) Queensland Government. He has held various research and leadership positions in Australia and abroad, including affiliations with QUT, RMIT University, and the University of the Sunshine Coast. His prolific publications feature highly cited works such as 'Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction' (2024), 'A dependable hybrid machine learning model for network intrusion detection' (2023), 'Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor' (2024), 'Precise GNSS Time Synchronization with Experimental Validation in Vehicular Networks' (2023, IEEE Transactions on Network and Service Management), 'A Framework for Migrating to Post-Quantum Cryptography: Security Dependency Analysis and Case Studies' (2024, IEEE Access), 'ISADM: An Integrated STRIDE, ATT&CK, and D3FEND Model for Threat Modeling Against Real-World Adversaries' (2025, IEEE Access), and 'Game On: A Developmental Approach to UNSW Cyber Escape Room for Cybersecurity Governance and Policy Education' (2026). These contributions impact cybersecurity practices, AI-driven healthcare diagnostics, network security, and quantum-resistant technologies.