A. S. M. Kayes

About Dr Kayes

Dr Kayes currently works as a Senior Lecturer in Cybersecurity in the Department of Computer Science and Information Technology at La Trobe University. He was the Discipline Coordinator of the Bachelor of Cybersecurity program in 2020-2021. He has extensive teaching experience at postgraduate and undergraduate levels in the areas of Cybersecurity, Programming and Software Engineering. He received his PhD from Swinburne University of Technology in March 2015. His PhD topic "A context-aware access control framework for software services" was supervised by Prof. Jun Han. After that, he worked at CQU and Swinburne as Lead Lecturer, Lecturer and Tutor in 2015-2017. From February 2017, he did his Postdoctoral Research with Prof. Wenny Rahayu at La Trobe, and later in March 2018, he has been appointed as a Lecturer in Cybersecurity at La Trobe. He represented as a member of the La Trobe University Academic Board in 2020-2021.

Dr Kayes has a collective research interest in examining the different aspects of data security, privacy and trust practices. Topics of interest include but are not limited to context-aware access control, data sharing, privacy & security, malware/ransomware detection and defence, IoT security, cloud/fog security, information modelling & responsibility attribution, and penetration testing & AI. Dr Kayes is an active member of the Australian Research Council (ARC) and assessed many ARC proposals (DPs and LPs). He published his research work in top-tier high-impact ACM/IEEE/Elsevier venues, such as Journals (ACM Computing Survey, Computers & Security, Information Systems, Future Generation Computer Systems, IEEE Internet of Things, IEEE Sensors, Journal of Network and Computer Applications, International Journal of Web and Grid Services, The Oxford Computer Journal, etc.) and Conferences (CAiSE, CoopIS, ICSOC, WISE, HICSS, IEEE TrustCom, etc.).

Dr Kayes received several research grants, such as (i) a collaborative research fund from Manchester Metropolitan University UK in 2019, (ii) an industry co-funded project (with an industry partner Westpac) from Oceania Cyber Security Centre (OCSC) Australia in 2020, (iii) an AustCyber research fund (with an industry partner Untapped) in 2020/2021, (iv) an industry Net Zero research fund in 2020/2021 and (v) a research fund from the Australian Institute of Criminology in 2020/2021. In 2021, he has received 2 PhD scholarship grants from two extremely competitive schemes: SmartSat CRC and ASCRIN. Overall, as Chief Investigator, he has been awarded over $370k industry project grants (as well as over $200k PhD scholarship grants) for multidisciplinary cybersecurity projects. He established a great collaborative network with academia, researchers, and industry representatives from UK, USA, Europe and Asia. He served on the research tracks and review panels of many prestigious journals and conferences, as editor, track chair, session chair, technical PC member and organizer. He is the member of the Australian Computer Society and IEEE Computer Society.

Since 2017, he has successfully supervised to completion 3 PhDs, currently supervising 3 PhD students as principal supervisor and 3 PhD students as co-supervisor in multiple research areas: AI-Driven Threat Hunting Model through Artificial Intelligence; IoT-Driven Zero-Trust Approach to Satellite Network; Secure Authentication and Access Control Approach to Fog Computing Environment; Security of the Internet of Things; Ransomware Detection and Defence through Situation-Aware Access Control; and Improper User Behavior Detection on Online Social Networks. Due to his active role in PhD supervision, he has been regularly invited to be external supervisor/examiner of HDR student dissertations. As external supervisor, he is currently supervising a PhD student at Victoria University, Australia. He is looking for PhD/Master by Research students in the broader domain of cybersecurity, especially in the following areas (but not limited to): privacy and security of patients' medical records, integrating technical and human factors for better access control, context-aware techniques for modelling hackers' behaviour and mindset, and cloud/fog/IoT security.