
Extremely enjoyable classes
A role model for academic teaching. His game based classes are very engaging and innovative.
A true expert who inspires confidence.
Creates a welcoming and inclusive environment.
Brings enthusiasm to every interaction.
Inspires students to aim high and excel.
Dr. Fida Hasan is a Lecturer in Cyber Security at the University of New South Wales (UNSW) Canberra, School of Professional Studies, equivalent to an Assistant Professor in the North American academic system. He holds a Doctorate of Philosophy (PhD) from Queensland University of Technology (QUT), Brisbane, and a Teaching and Learning Certification from Harvard University, USA. As a Fellow of the Higher Education Academy (FHEA), UK, Dr. Hasan is recognized for excellence in teaching and supervising higher education students. With over 16 years of teaching experience across computer science, information technology, and cyber security courses, he is an award-winning researcher skilled in cyber security, artificial intelligence, cryptography, intelligent transportation systems, cyber-physical systems, and biomedical applications. His expertise enables him to design, build, and implement technical IT solutions while managing cybersecurity projects for government agencies and private sector clients.
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.
