Dr Zhiyuan Tan (BEng, MEng, Ph.D.) is a Lecturer in Cybersecurity at the School of Computing, Edinburgh Napier University (ENU), United Kingdom. He is a Member of IEEE and EAI. His research interests include cybersecurity, machine learning, pattern recognition, data analytics, virtualisation and cyber-physical system.
Prior to joining ENU in 2016, Dr Tan held different research positions at three research intensive universities, respectively. He was a Postdoctoral Researcher in Cybersecurity at the University of Twente (UT), the Netherlands from 2014 to 2016; a Research Associate at the University of Technology, Sydney (UTS), Australia in 2014; and a Senior Research Assistant at La Trobe University, Australia in 2013.
Dr Tan has active collaborations with fellow faculty at the University of Twente and fellow cyber security faculty from Eindhoven University of Technology. He also has long-term collaborations with international acclaimed scholars from UTS, CSIRO and University of New South Wales.
His research findings have been published in world leading journals such as IEEE Transactions on Computers (TC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Cloud Computing (TCC), Future Generation Computer Systems (FGCS), Computer Networks (CN) and in prestigious international conferences including IEEE GLOBECOM, IEEE TrustCom and ICONIP.
Dr Tan has been invited to serve as a reviewer for top journals, including IEEE TPDS, IEEE TC, IEEE Transactions on Information Forensics & Security (T-IFS), IEEE Transactions on Dependable and Secure Computing (TDSC), FGCS, and Journal of Network and Computer Applications (JNCA).
He has played various chair roles in International workshops and conferences, such as SECSOC, SITN, EAI Future 5V and EAI BD:TA 2018. He serves on the editorial board of International Journal of Computer Sciences and its Applications. He is Associate Editor of IEEE Access and has organised Special Issues for Ad Hoc & Sensor Wireless Networks Journal, International Journal of Distributed Sensor Networks, Computers & Electrical Engineering, IEEE Access, etc.
I am now RECRUITING highly self-motivated Ph.D. students, who are expected to conduct challenging research on Network Security
- Adversarial machine learning for Anomaly/Malware detection
- Virtualisation security based on non-parametric behaviour modelling
- Knowledge transfer (Transfer Machine Learning) in cyber-security problems
- IoT Security with focuses on Cloud and Edge computing security issues