Rate My Professor Jiankun Hu

Jiankun Hu is an IEEE Fellow and a full professor of Cyber Security at the School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA). He holds a Bachelor’s degree in industrial automation from Hunan University, PR China (1983), a PhD in engineering from Harbin Institute of Technology, PR China (1993), and a Master’s degree in computer science and software engineering from Monash University, Australia (2000). His distinguished career includes postdoctoral research at Harbin Shipbuilding College (1995), an Alexander von Humboldt Foundation research fellowship at Ruhr University, Germany (1995–1997), research fellowships at Delft University of Technology, the Netherlands (1997), and the University of Melbourne, Australia, as well as prior appointments at RMIT University before joining UNSW.

Professor Hu’s primary research interests lie in computer networking and computer security, with a particular emphasis on biometric security, alongside expertise in general cyber security, intrusion detection, applied cryptography, network security, image and video processing, artificial intelligence, machine learning, and deep learning. He has been awarded ten Australian Research Council grants. Key contributions include serving as Security Symposium Co-Chair for IEEE GLOBECOM ’08 and IEEE ICC ’09, and Program Co-Chair for the 2008 International Symposium on Computer Science and its Applications. He holds editorial roles as Senior Area Editor for IEEE Transactions on Information Forensics and Security, Area Editor for KSII Transactions on Internet and Information Systems, and Associate Editor for Journal of Security and Communication Networks (Wiley), IET Cyber-Physical Systems, IEEE Open Journal of the Computer Society, and Wiley Security and Privacy. Notable publications encompass “A Survey and Ontology of Blockchain Consensus Algorithms for Resource-Constrained IoT Systems” (Sensors, 2022), “A Novel Length-Flexible Lightweight Cancelable Fingerprint Template for Privacy-Preserving Authentication Systems in Resource-Constrained IoT Applications” (IEEE Internet of Things Journal, 2023), “A Privacy-Preserving Biometric Authentication System With Binary Classification in a Zero Knowledge Proof Protocol” (IEEE Open Journal of the Computer Society, 2022), “A Survey on 2D and 3D Contactless Fingerprint Biometrics: A Taxonomy, Review, and Future Directions” (IEEE Open Journal of the Computer Society, 2021), and “PolyCosGraph: A Privacy-Preserving Cancelable EEG Biometric System” (IEEE Transactions on Dependable and Secure Computing, 2023). His research has significantly influenced advancements in privacy-preserving biometrics, smart grid security, and cybersecurity methodologies.