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Dr Kayes Kayes Lecturer in Cybersecurity, Comp Sci & Info Tech

Dr A. S. M. Kayes currently works as a Lecturer in Cybersecurity in the Department of Computer Science and Information Technology at La Trobe University, Australia. He is the Coordinator for the Masters of Cyber Security Subjects and developed new postgraduate subjects. He is also the Discipline Coordinator for the Bachelor of Cybersecurity program (which has 4 degrees: bachelor of cybersecurity, computer science and 3 other double degrees). He has extensive teaching experience at postgraduate and undergraduate levels in the areas of Software Engineering and Cybersecurity. He has worked as an Academic in Computer Science since 2006 and has more than 13 years of teaching, research and software industry experience. Dr Kayes received his PhD in Software Engineering from Swinburne University of Technology, Australia in 2014. He worked at CQU and Swinburne as Lead Lecturer, Lecturer and Tutor (2014-2017). In Feb 2017, he joined as a Postdoctoral Research Fellow at La Trobe University, and in Jan 2018, he joined as a Lecturer in Cybersecurity at La Trobe University. Recently, he has been elected to the position of "La Trobe University Academic Board, 2020-2021".

Dr Kayes is a cybersecurity expert with many years of research experience. He is passionate about safeguarding data, systems and people from cyber-attacks. He has broad contemporary knowledge around cybersecurity and software engineering. He has a collective interest in examining the different aspects of security, privacy and trust practices to address emergency events like COVID-19 outbreak, and other e-Health measures like privacy and security of patients’ health records. He has a deep research and technical skills in data privacy and security. Topics of interest include but are not limited to context-aware access control, data sharing, privacy & security, API Security, malware/ransomware detection and defence, IoT security, cloud/fog security (cloud-fog interplay), information modelling & responsibility attribution, and penetration testing & AI. Dr Kayes is currently an assessor for the Australian Research Council (ARC).

Dr Kayes published his research work in top IEEE/Elsevier venues, such as Journals (The Computer Journal, Information Systems, Computing, Future Generation Computer Systems, IEEE Internet of Thnigs, IEEE Sensors, Journal of Big Data, First Monday Journal, Sensors, IEEE Access, IJWGS Journal, and so on) and Conferences (CAiSE, CoopIS, ICSOC, WISE, HICSS, IEEE AINA and IEEE TrustCom). He published 35 research papers during 2018-2020: 21 journals (mostly Q1), 10 conferences (mostly A-rank) and 4 book chapters (10 of them are his first-authored papers, 5 Q1 & 1 Q2 journals, 2 A-ranked conference papers during 2018-2020). 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 a member of the Australian Computer Society and IEEE Computer Society. He established international partnerships with universities from Europe and South-Asia and collaborated different research projects with them (outcome: publications in top journals with international collaboration; contributed to the Memorandum of Understanding signing ceremony between North South University (NSU) Bangladesh and La Trobe University Australia).

Dr Kayes received several research grants: (i) a collaborative research fund from Manchester Metropolitan University UK in 2019, (ii) an industry co-funded project (with industry partner Aiculus) from Oceania Cyber Security Centre (OCSC) Australia in 2020, (iii) AustCyber fund (with industry partner Untapped) in 2020 and (iv) industry Net Zero fund in 2020. He raised AU$415k+ research funding for cybersecurity R&D projects. He is currently trying to receive grants from the Australian Research Council (ARC) Discovery, through ARC Linkages, and from Australian Defence Next Generation Technology Fund. Dr Kayes has established a huge collaborative team through working (and publishing research papers) with renowned Australian and International academic leaders from UK, USA, Europe and Asia.

He involved in multiple research projects with PhD students, industry partners and other collaborators. At La Trobe, he is currently currently supervising/collborating with 7 PhD students in multiple research areas: Penetration Testing, Operational Security and AI; A Fog-Based Secure Communication Framework for Distributed Cloud Environment; Security of the Internet of Things; Ransomware Detection and Defence through Situation-Aware Access Control; Digital Intellectual Property Infringement - Protection & Law Enforcement Policy; A Recursive, Multi-stage machine learning Classifier for Client-side Spam Filtering; IoT Streaming Data Indexing and Integration from Multiple Sources; and Improper User Behavior Detection on Online Social Networks. He is also supervising a PhD student at Victoria University, Australia (Towards Discovering A Privacy-Preserving Data Sharing Approach to Eectronic Health Records). He contributed to the judging panel for the 3-Minute PhD Thesis Competition 2020 at the School of Engineering and Mathematical Sciences, La Trobe University.

Dr Kayes is looking for PhD/Master by Research students in the broader domain of cybersecurity, especially in the following areas (but not limited to): the privacy and security of patients' medical records, malware/ransomware detection and defence, blockchain security, context-aware techniques for modelling hackers' behaviour and mindset, cloud and fog security, IoT security, a very recent topic - 'social distancing' against COVID-19 applying a wide range of AI techniques (knowledge extraction, data mining, deep learning, machine learning, etc.), and so on. Interested students can send him emails.


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