Rate My Professor Fatemeh Rezaeibagha
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Inspires growth and curiosity in every student.
Inspires students to aim high and excel.
A true expert who inspires confidence.
Always approachable and supportive.
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About Fatemeh
Dr. Fatemeh Rezaeibagha is a Senior Lecturer in Cyber Security within the School of Information Technology at Murdoch University in Perth, Australia, where she has been serving since June 2023. She holds a PhD in Computer Science with a focus on applied cryptography from the University of Wollongong (2013–2017), an MSc in Information Security from Luleå University of Technology in Sweden, and a BSc in Information Technology Engineering from Azad University in Iran (2005–2009). Prior to her current senior lectureship, she worked as a Lecturer in the School of Engineering and Information Technology at Murdoch University. Her academic career emphasizes research in cryptography, blockchain, information security, network security, and computer security, with applications in electronic health records (EHR) security, Internet of Things (IoT) privacy, attribute-based encryption, homomorphic encryption, and privacy-preserving data analytics.
Dr. Rezaeibagha's scholarly impact is evidenced by over 1,562 citations on Google Scholar and 1,348 on ResearchGate, alongside 64 research items. Notable publications include 'A Systematic Literature Review on Security and Privacy of Electronic Health Record Systems: Technical Perspectives' (2015), 'Distributed Clinical Data Sharing Via Dynamic Access-Control Policy Transformation' (2016), 'Multi-Authority Security Framework for Scalable EHR Systems' (2016), 'Access Control Policy Combination from Similarity Analysis for Secure Privacy-Preserved EHR Systems' (2017), 'Provably Secure Homomorphic Signcryption' (2017), 'Secure Decentralized Attribute-Based Sharing of Personal Health Records With Blockchain' (2021), 'Blockchain-Aided Anonymous Traceable and Revocable Access Control Scheme With Dynamic Policy Updating for the Cloud IoT' (2023), 'BE-TRDSS: Blockchain-Enabled Secure and Efficient Traceable-Revocable Data-Sharing Scheme in Industrial Internet of Things' (2023), 'Publicly Accountable Data-Sharing Scheme Supporting Privacy Protection for Fog-Enabled VANETs' (2024), and 'Enhanced Secure Attribute-Based Dynamic Data Sharing Scheme With Efficient Access Policy Hiding and Policy Updating for IoMT' (2024). Recent contributions encompass 'Authenticable Distributed Homomorphic Private Counter and its application in data analysis of edge computing' (2025), 'BA-AMST: A blockchain-assisted anonymous and multi-keyword searchable encryption scheme' (2025), and 'Efficient unbalanced circuit private set intersection for ID alignment of Vertical Federated Learning' (2026). She serves as principal supervisor for Master's students and co-supervisor for Doctoral candidates, and teaches units such as Cyber Forensics and Incident Response (ICT378). Additionally, she has contributed to program committees, including ACISP 2020.
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