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Marcus Gallagher is an Associate Professor in the Artificial Intelligence Group in the School of Information Technology and Electrical Engineering. His research interests are in artificial intelligence, including optimisation and machine learning. He is particularly interested in understanding the relationship between algorithm performance and problem structure via benchmarking. My work includes cross-disciplinary collaborations and real-world applications of AI techniques.

Dr Gallagher received his BCompSc and GradDipSc from the University of New England, Australia in 1994 and 1995 respectively, and his PhD in 2000 from the University of Queensland, Australia. He also completed a GradCert (Higher Education) in 2010.

Dr. Azadeh Ghari-Neiat is a Senior Lecturer in Software Engineering at the University of Queensland. Her research interests lie at the intersection of the Internet of Things (IoT), Mobile Computing, Crowdsourcing, and Cybersecurity. Her work focuses on enhancing connectivity and security in modern computing environments through innovative crowdsourcing solutions. She completed her PhD in Computer Science from RMIT University in 2018. Prior to joining UQ, Dr. Ghari-Neiat held academic positions at Deakin University as a Senior Lecturer and at the University of Sydney as a postdoctoral research fellow and casual lecturer.

Dr Trish Gilholm is a Research Fellow (3.5 years post‑PhD) within the Children’s Intensive Care Research Program, Child Health Research Centre. Her emerging research programs explore 1) long‑term outcomes for critically ill children using data linkage and 2) adaptive trial designs in paediatric critical care. Dr Gilholmcompleted her PhD in statistics at the Australian Centre of Excellence in Mathematical and Statistical Frontiers, Queensland University of Technology (PhD conferral September 2021) and was awarded an Executive Dean Commendation for Outstanding Doctoral Thesis Award for her PhD thesis. Through her developing research programs in adaptive trial design and data linkage, she has established a unique research profile within paediatric critical care. She is currently supervising 1xHonours (Principal Advisor), 1xPhD (Associate Advisor) and regularly supervises undergraduate and medical school research projects. Her outstanding commitment to research and future potential as a researcher was recognised with the 2024 Child Health Research Centre Rising Star of the Year Award.

Assoc. Prof. Glencross specialises in computer graphics, human-computer interaction, and their application to real-world industry challenges.

Currently serving as the EAIT Deputy Associate Dean Academic (Students), she also leads research in Graphics and Visualisation aimed at enhancing the understanding of complex information. At UQ, her research has been applied to innovative areas such as Renewable Energy, Health and Safety, and Resilience. Her ongoing funded projects focus on designing technology to support decision-making during natural disasters.

With a strong background in industry-oriented research, Assoc. Prof. Glencross's work in computer graphics has been backed by industry contracts and research council funding. Her contributions have had significant commercial impacts across sectors, including computer games, visual effects, displays, mobile phones, and image-based capture technologies.

Previously, she led the technical product management of a Graphics Processor Unit at ARM Ltd (UK), where her work contributed to intellectual property used in mobile handsets. Additionally, she co-founded two UK-based technology startups. As Research Director of Pismo Software, she spearheaded innovation in automated 3D content creation pipelines for Virtual Reality interior design for Yulio Inc. In her role as Director of Research at a smart heating company, she led the development of an advanced intelligent heating system.

An active contributor to the computer graphics community, Assoc. Prof. Glencross serves as the ACM SIGGRAPH Volunteer Development Chair. She is also a member of the steering committee for the ACM PACM journals and an Associate Editor for the Computers & Graphics journal. Her expertise is recognised through her status as a Senior Member of the ACM.

I bring industry and academic experience in working on quantum error mitigation, quantum error correction, and quantum control theory to enable quantum computing demonstrations on near-term hardware. I am currently investigating the feasibility of combining error mitigation and error correction techniques with quantum machine learning algorithms at the University of Queensland. With Sally Shrapnel and partnering with the Queensland Digital Health Center (QDHeC), we are analysing the operational robustness of quantum machine learning, with an eye to digital health use-case discovery and testing. Prior to this, I worked on execution of dynamic circuits for error mitigation and quantum error correction applications at IBM Quantum (US) for three years. My work resulted in 3 patents and being recognised as one of IBM Research’s Top Technical Contributors in 2023 globally. I have also designed classical algorithms for noise filtering and prediction for trapped ions at the Quantum Control Laboratory in the University of Sydney, winning ARC EQUS inaugural Director’s Medal in Australia in 2019.

Dr. Anthony Halog: Global Leader in AI-Enabled Circular Economy and Sustainable Systems

Dr. Anthony Halog is an internationally recognized expert in AI-driven circular economy, life cycle assessment (LCA), and sustainable systems engineering. His research integrates artificial intelligence, industrial ecology, and systems thinking to optimize green hydrogen production, bioeconomy transitions, and waste-to-energy systems.

As a Senior Academic at the University of Queensland, Dr. Halog leads research projects funded by ARC, EU Horizon, and industry partners. He has published over 130 high-impact journal articles, advancing knowledge in sustainability science and AI-enabled resource optimization. His work has influenced policy development and industry decarbonization strategies in Australia, Europe, and the Middle East.

Dr. Halog has been awarded prestigious international fellowships, including the OECD Research Fellowship (UK/Finland), DAAD Fellowship (Germany), Japan Society for the Promotion of Science (JSPS) Fellowship, and NSERC Fellowship (Canada). He has held visiting research positions in the UK, Germany, Japan, Saudi Arabia, and Morocco, expanding his global impact on circular economy modeling and AI applications in sustainability.

Beyond academia, he plays a key role in policy advisory and industry collaboration, partnering with the OECD, the United Nations, and the European Commission. As a keynote speaker and editorial board member, he continues to shape global discourse on sustainability transitions and AI-driven resource efficiency.

I undertake multi-disciplinary collaborative research developing mathematical, computational and visualisation approaches and techniques that facilitate the research and education in animal and plant systems.

My major research theme is development of mathematical, computer graphics and simulation approaches and techniques that facilitate the study of genetics, physiology, morphogenesis and ecology at the scale of cells, individual plants and insects and their components. These developments in computational biology are being used to increase our understanding of the dynamics of morphogenesis, and as a tool in applied research and education.

Software Engineering. Ian's research interests are in formal methods for software development.

Errors in a compiler for a programming language can generate errors in the myriad of programs they compile. Our research is looking at verifying optimisation phases of a compiler.

Concurrent programs are difficult to reason about due to the interleaving of execution of concurrent threads leading to an explosion of possible execution sequences. Our research is developing techniques for rely/guarantee reasoning about concurrent programs.

Both the above research strands make use of the Isabelle/HOL theorem prover.

Dr Leah Henrickson is a Lecturer in Digital Media and Cultures at the University of Queensland. She is the author of Reading Computer-Generated Texts (Cambridge University Press, 2021) and other peer-reviewed articles about how we understand text generation systems and output, artificial intelligence, and digital media ecosystems. Dr Henrickson also studies digital storytelling for critical self-reflection, community building, and commercial benefit. She regularly supports projects and organisations in their digital storytelling efforts as consultant and advisor.

Dr Henrickson is especially keen to collaborate on projects involving digital methods and media, hermeneutics, histories of communications media, and unconventional text production and dissemination.

MBChB FRCA FANZCA FFICM PhD

Dr. Huang is a Professor and ARC Future Fellow in School of ITEE, The University of Queensland. She received her BSc degree from Department of Computer Science, Tsinghua University, China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2001 and 2007 respectively. Dr. Huang's research interests mainly include multimedia indexing and search, social data analysis and knowledge discovery. She has published 200+ papers in prestigious venues, and is currently an Associate Editor of The VLDB Journal, ACM Transactions on Information Systems (TOIS), Pattern Recognition Journal, etc and also a member of the VLDB Endowment Board of Trustees.

Dr. Huang has received 2016 Chris Wallace Award from Computing Research and Education (CORE) Australasia for a notable breakthrough or a contribution of particular significance in Computer Science, and Women in Technology (WiT) Infotech Research Award 2014, Queensland. She was also a recipient of the Excellence in Higher Degree by Research Supervision Award, University of Queensland, 2018. Dr. Huang is the Data Science Discipline Leader, UQ.

Prof Jadwiga Indulska's research interests are in: autonomic and context-aware pervasive/ubiquitous systems (self-adapting computer systems), wired and wireless computer networks, and interoperability of heterogeneous distributed systems

She received her PhD from AGH University of Science and Technology in Krakow in 1985. Her current research projects are in the fields of:

• Autonomic, context-aware pervasive/ubiquitous systems, i.e. self-adapting computer applications which can (i) provide seamless computing over a variety of computers and computer networks, and (ii) adapt to the current context of users and their tasks.

• Communication protocols for computer networks (Internet protocols and protocols for wired networks, wireless networks, heterogeneous wired/wireless networks and sensor networks).

Marta Indulska is a Professor of Business Information Systems and Director of Research at the UQ Business School, The University of Queensland, Australia. She teaches on topics related to the use and management of Information Systems and Information Technology in business, specifically with a focus on increasing operational efficiency and effectiveness. In 2017, she was a recipient of the UQ Citation for Outstanding Contributions to Student Learning. Marta has a background in Computer Science, having obtained her Computer Science doctorate degree in 2004. Her main research interests include conceptual modelling, business process management and open innovation. She has published over 100 fully refereed articles in internationally recognised journals and conferences, and has contributed several chapters to published books. Her research has been funded through several competitive grants, including ARC Discovery. Marta has also worked with organisations in the retail, consulting and non-profit sectors to provide guidance on a variety Information Technology topics.

Paul specialises in Assessment and Management of Risk and Impact of Socio-Environmental determinants on the Wellbeing of our younger generations across their life span.

His overall vision is about how we use Environmental Health Intelligence to improve decision-making towards delivering more efficient Environmental Health Practices, Services and Solutions for local and regional communities in remote and disadvantaged socio-economic settings.

Within the complex interdisciplinary domains that hold the socio-environmental determinants of wellbeing, Paul’s operational research focuses on how / what interventions would best support communities to prevent, mitigate and adapt to EH risk and impact in rapidly changing environments and climate.

I am a computational biologist with a centre-wide research role in the ARC Centre of Excellence for Plant Success in Nature and Agriculture, based here at UQ. I spend my time researching new computational techniques for predicting complex quantitative traits by integrating multiple layers of 'omics data (amongst dozens of other things!).

Areas of interest:

• Machine Learning, AI and high performance computing to learn and exploit functional connectivity in biological data
• Gene Expressions networks
• Multiplex networks, information propagation and perturbation
• Genomic Prediction

My goal is to aid crop and forestry breeders in selecting parental lines more accurately, which gives us a pathway to improving certain plant species. I also spend time developing new data analysis techniques that are being applied to human disease and conditions such as Autism and substance addiction.

David completed his PhD at Australian National University in 2017, focusing on the genome-wide basis of foliar terpene variation in Eucalyptus. He then undertook a postdoc at Oak Ridge National Laboratory, a US Dept of Energy lab with a focus on big data. After a stint as a staff scientist at Oak Ridge, David arrived at the Centre of Excellence in 2023 in the role of a Senior Research Fellow.

Dr Hassan Khosravi is an Associate Professor in Data Science and Learning Analytics at The University of Queensland. As a computer scientist by training, he is passionate about the role of artificial intelligence in the future of education. In his research, he draws on theoretical insights driven from the learning sciences and exemplary techniques from the fields of human-centred AI and crowdsourcing to build technological solutions that enhance student learning and experience. His past research and publications have addressed a number of diverse topics such as learning graphical models, statistical-relational learning, social network analysis, cybersecurity and game theory.

Hassan's teaching career includes coordinating 30 different offerings with class sizes ranging from 50 to 700, in 10 distinct courses to a total of approximately 7000 students at three top-ranked institutions: Simon Fraser University (SFU) and The University of British Columbia (UBC) in Canada, and The University of Queensland (UQ) in Australia. He has taught a range of courses including introductory programming courses, data structures and algorithms, artificial intelligence, database management systems as well as graduate-level data science courses. he also leads and teaches into a variety of formal and programs that mentor and foster the next generation of great teachers. These programs cover a wide variety of topics, including student-centred learning, active learning tools and strategies, supporting assessment design and delivery at scale, and enhancing teaching with learning analytics.

Hassan holds a Senior Fellowship with the Higher Education Academy, which has been awarded in recognition of his contributions to effective approaches to teaching and learning as well as successful coordination, support, supervision, management and mentoring of others in relation to learning and teaching.

Prospective Students

Please visit the link (https://sites.google.com/view/dsteam/pros-students).

Short Biography

Dr. Dan Dongseong Kim is Deputy Director of UQ Cybersecurity and an Associate Professor (in the commonwealth system, is broadly equivalent to a North American full professor) (continuing appointment) in Cyber Security at The University of Queensland (UQ), Brisbane, Australia. Before UQ, he was a faculty member (permanent academic staff; Senior Lecturer 2015-2018, Lecturer 2011-2014) in Cyber Security in the Department of Computer Science and Software Engineering at The University of Canterbury (UC), Christchurch, New Zealand from 2011 to 2018. From 2008 to 2011, he was a postdoc at Duke University, Durham, North Carolina in the US. He was a visiting scholar at the University of Maryland, College Park, Maryland in the US in 2007. His research interests are in Cyber Security and Dependability for various systems and networks. Please visit his research team webpage: https://sites.google.com/view/dsteam/

Publications

• Google Scholars (6500+ citations, h-index: 41, i10-index: 117): https://scholar.google.com/citations?user=dIIYVQkAAAAJ&hl=en
• DBLP (185+ publications): https://dblp.org/pid/k/DongSeongKim.html

Research Focus: Cyber G.A.M.E

• Graphical Models for Cyber Security: Model-based Cyber Security Risk Analysis
• AI for Cybersecurity & Cyber Security for AI: Securing AI systems and Cybersecurity using AI techniques
• Moving Target Defense (MTD): Resilient and Proactive Defence
• Evolving Attacks and Defense Automation: Red team and Blue team Automation and evaluation using AI

Professional Activities (selected)

• Associate Editor, IEEE Communications Surveys and Tutorials (impact factor: 33.84 (2022-2023), #1 impact factor among all the IEEE journals), 2021 - present.
• Editorial Board Member, Elsevier Computers and Security (impact factor: 5.6 (2023)), 2019 - present.
• Editorial Board Member, Elsevier Computer Networks (impact factor: 5.6 (2023)), April 2022 - present.
• An Elected Member of the IFIP WG 10.4 on Dependable Computing and Fault Tolerance (2021 onwards).
  • The IFIP WG 10.4 consists of over 60 experts in the field of fault-tolerance, dependable and secure computing.
• Steering committee member of IFIP/IEEE DSN, 2021-2025.
• Steering committee chair of IEEE PRDC, 2022-present.
• Steering committee member of IEEE PRDC, 2019-present.
• TPC member of international conferences including IFIP/IEEE DSN, SRDS, ISSRE, ICDCS, etc.

Selected publications

• Adversarial Machine Learning for Network Intrusion Detection Systems: A Comprehensive Survey, IEEE Communications Surveys & Tutorials (Impact factor in 2021: 33.84)
• Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense, IEEE Communications Surveys & Tutorials 2020 [Impact Factor 2018-19: 22.973]
• A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights, ACM Computing Surveys, 2022 [Impact Factor 2021-22: 10.282, ranked 4/137 in Computer Science Theory & Methods]
• Evaluating the effectiveness of shuffle and redundancy MTD techniques in the cloud. Computers & Security (2021) [Impact factor: 4.438]
• Threat-Specific Security Risk Evaluation in the Cloud. IEEE Trans. Cloud Comput. 9(2): 793-806 (2021) [Impact factor: 4.714]
• Dynamic Security Metrics for Measuring the Effectiveness of Moving Target Defense Techniques, Computers & Security, Elsevier, 2018 [Impact factor: 4.438]
• Assessing the Effectiveness of Moving Target Defenses using Security Models. IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2016. [CORE Rank A, Impact factor: 6.404]
• Recovery from software failures caused by Mandelbugs. IEEE Transactions on Reliability, 2016. [CORE Rank A, Impact factor: 2.79]
• Sensitivity Analysis of Server Virtualized System Availability. IEEE Transactions on Reliability, 61(4): 994-1006, 2012. [CORE Rank A, Impact factor: 2.293]
• Scalable Optimal Countermeasure Selection using Implicit Enumeration on Attack Countermeasure Trees, IEEE/IFIP DSN 2012 [CORE Rank A*]

Research Sponsors (past and current)

• NSF (US), IBM T.J. Watson (US), US Army Research Lab./DEVCOM-Pacific (US), (NEC (Japan), Tait Comm. (NZ), MBIE (NZ), NPRP (Qatar), ADD (Republic of Korea), NRF (Republic of Korea), etc.

Recent Ph.D. graduates (selected)

1. Ke He (Ph.D., University of Auckland, May 2024, co-supervisor): Adversarial Attacks, Defences and Visualisation for AI-based NIDS.

2. Kok Onn Chee (Ph.D., University of Queensland, Jan 2024: Principal Advisor): Security Modelling and Analysis of Internet of Things against Evolving Attacks.

3. Minjune Kim (Ph.D., University of Queensland, 2023: Principal Advisor): Security and performance evaluation of software defined networking adopting moving target defenses (Research Engineer at CSRIO's Data61, Australia).

4. Dilli P. Sharma (Ph.D., University of Canterbury, 2020; senior supervisor at UC, -> co-supervisor at UQ): Software-defined networking based moving target defenses. (Postdoc at U. of New Brunswick, Canada -> Postdoc at the University of Toronto, Canada).

5. Taehoon Eom (Ph.D., 2020, KAU, Korea, co-supervisor): Security modeling and analysis for performance enhancement in software defined network (Researcher at KAU-> Research Professor at KAU -> Artificial Intelligence Industry Cluster Agency (AICA), South Korea).

6. Hooman Alavizadeh (Ph.D., Massey University, NZ, 2019, co-supervisor): Effective Security Analysis for Combinations of MTD Techniques on Cloud Computing (a Postdoc, Massey University -> Postdoc at UNSW Canberra->Lecturer at U of Sydney-> Lecturer (continuing academic staff), La Trobe University, Australia).

7. Kieran Morris (Ph.D., ECE, University of Canterbury, NZ, 2019, co-supervisor): Reliability and resilience evaluation of distribution automation (first employment: Tait communications, NZ-> Noted Ltd ).

8. Simon (Enochson) Yusuf (Ph.D., Computer Science, NZ, University of Canterbury, Dec 2018, senior supervisor): Dynamic Cyber Security Modeling and Analysis (Postdoc at UQ-> Lecturer (continuing academic staff) at Federal University Kashere (FUK), Gombe, Nigeria -> Lecturer at Whitecliffe College, New Zealand. )

9. Mengmeng Ge (Ph.D., Computer Science, University of Canterbury, 2018; senior supervisor): Graphical security modeling and assessment for the Internet of things (Lecturer (continuing academic) in Cybersecurity at Deakin University -> RMIT University, Australia -> Deloitte New Zealand-> Senior Lecturer, University of Canterbury, New Zealand).

10. Iman Elmir (Ph.D., Hassan 1st Univ. Morocco, 2017, co-supervisor): Security Modeling and Analysis of Intrusion Tolerant Data Centers

11. Jin B. Hong (Ph.D., Computer Science, University of Canterbury, April 2015, senior supervisor): Scalable and Adaptable Security Modeling and Analysis. (First employment: Postdoc, UC, NZ -> Lecturer, then Senior Lecturer in Cybersecurity at U of Western Australia)

12. Nguyen Tuan Anh (Ph.D., August 2015, KAU, co-supervisor): Availability Modeling and Analysis of Data Center Systems using Stochastic Reward Nets. (Postdoc, Kunkuk University, South Korea -> an Academic Research Professor, Kunkuk University, South Korea)

Cyber Security Research Experience

Dan Dongseong Kim has been working on various topics in computer and network security since 2001. Dan started his research with crypto algorithms design, implementation, and testing for hardware devices such as FPGA/ASICs. Then, he worked on machine learning/data mining approaches for (host-based, network-based) intrusion detection from 2001 onward. His master's thesis was a machine learning (ML)-based network intrusion detection. He worked on various computer and network security topics such as an intelligent SIEM (it was called enterprise security management at that time), authentication protocols for RFID systems, security and privacy for Wireless Sensor Networks (WSNs), etc. His Ph.D. topics were security and privacy for WSNs. He spent one year as a visiting scholar at The University of Maryland (UMD), College Park, Maryland in the US in 2007 under the supervision of Prof. Virgil D. Gligor.

He started working on dependability more seriously in addition to Cyber Security in 2008 when he started his postdoc research at Duke University under the supervision of the Hudson Chaired Professor Kishor S. Trivedi. He worked on research projects funded by the US NSF, NEC Japan, and IBM T.J. Watson in the area of dependability (availability/performance) of data centers/cloud computing and cybersecurity modeling & analysis.

Since he became a faculty member at The University of Canterbury, New Zealand in August 2011, he explored deeply the area of graphical models for cybersecurity, metrics, measurement, and efficient evaluation methods for automated cybersecurity modeling and analysis and applied those key ideas to Cloud computing, Internet of Things (IoT), Moving Target Defenses (MTD), cyber deception, and automated cyber-attacks generation. He worked with diverse groups of people from various countries including Australia, Bangladesh, Brazil, China, Germany, India, Iran, Italy, Japan, Saudi Arabia, South Korea, Mongolia, Morocco, Malaysia, Nepal, New Zealand, Nigeria, Pakistan, Qatar, USA, UK, and Vietnam.

Academic Genealogy

As for his academic genealogy, his Ph.D. thesis advisor was

• Jong-Sou Park (Pennsylvania State University, Ph.D., 1994); his one was
• Paul Thomas Hulina (Pennsylvania State University, Ph.D., 1969); then it runs back through
• Jon Gustav Bredeson (Northwestern University, Ph.D., 1967),
• Seifollah Louis Hakimi (The University of Illinois at Urbana-Champaign (UIUC), Ph.D., 1959),
• Mac Van Valkenburg (Stanford University, Ph.D., 1952),
• Oswald Garrison Villard, Jr. (Stanford University, Ph.D., 1949),
• Frederick Emmons Terman (widely credited as being the father of Silicon Valley) (Massachusetts Institute of Technology (MIT), 1924, Sc.D.) and
• Vannevar Bush (Jointly Harvard/MIT, D. Eng., 1916) to
• Arthur Edwin Kennelly (Professor at Harvard/MIT) (who was working in Thomas Edison's West Orange Laboratory from December 1887 to March 1894) and Dugald C. Jackson.

His postdoc advisor is Professor Kishor S. Trivedi (UIUC, Ph.D., 1974) who is a Life Fellow of IEEE and the Hudson Distinguished Professor of Electrical and Computer Engineering at Duke University, USA. Please visit the academic tree from Duglad C. Jackson up to the ancestors at the academic tree (link).

Jiwon Kim is an Associate Professor in Transport Engineering and the Director of Higher Degree by Research in the School of Civil Engineering at the University of Queensland. She was a DECRA Fellow (2019-2022) sponsored by the Australian Research Council. She joined UQ in 2014 after completing her PhD research at Northwestern University. Prior to joining Northwestern, she worked at Samsung C&T (Engineering & Construction Group). She received Bachelor’s and Master’s degrees in civil engineering from Korea University.

Her research interests broadly encompass the application of Artificial Intelligence and Machine Learning (AI/ML) to enhance prediction, automation, and insight generation in transportation and urban mobility. She is passionate about developing intelligent autonomous systems that facilitate real-time traffic management and control, mobility service optimization, and traveller support. Her current research explores the potential of deep learning, reinforcement learning, and other cutting-edge AI/ML approaches to achieve these objectives.

Professor Ryan Ko is Chair and Director of UQ Cyber Research Centre, Director of Research at the School of Electrical Engineering and Computer Science, and an elected member of the Academic Board at the University of Queensland, Australia. He holds a Bachelor of Engineering (Computer Engineering)(Hons.) (2005), and PhD (2011) from Nanyang Technological University, Singapore.

Ko has held senior scientific leadership, executive, and directorship roles across industry and academia, and has more than a decade of board, governance and advisory experience across government, industry and NGOs across Australia, New Zealand, Singapore, and USA.

He currently serves on the Audit and Risk Committee for the board of the global not-for-profit ORCID, and has served on boards and advisory groups for AustCyber, Queensland Government, Meat and Livestock Australia (MLA), and the NZX-listed (NZE:LIC) Livestock Improvement Cooperation (LIC).

He has also served as expert advisor to INTERPOL, the government of Tonga, NZDF, NZ Minister for Communications' Cyber Security Skills Taskforce, and one of four nationally-appointed Technical Adviser for the Harmful Digital Communications Act 2015, Ministry of Justice. He has also served as independent technical expert for court cases.

He is also Adjunct Professor at the Singapore Institute of Technology, and Affiliate Faculty Member at NIATEC at the Idaho State University, USA.

He is co-founder of Dynamic Standards International (DSI), CyberCert, and First Watch Ltd (NZ) – an industrial cybersecurity spin-off based on his patented OT security and provenance research at the University of Waikato.

Since joining UQ in 2019, he has served as:

• Deputy Head of School (External Engagement) (2021-2022)
• Founding Discipline Leader of the Cyber Security and Software Engineering discipline (2020-2021)
• Group Leader - Cyber Security (2019)

Ko has successfully established several university-wide, multi-disciplinary academic research and education programmes, including establishing and leading:

• UQ Cyber - interdisciplinary cyber scurity research centre involving 60+ academics and their respective teams from the 6 Schools (EECS, Business, Economics, Law, Social Science, Mathematics & Physics), the Centre for Policy Futures, and 4 Faculties since 2019.
• UQ's interdisciplinary postgraduate programme (MCyber, PGDipCyber, GCertCyber) involving four UQ faculties in 2019,
• NZ's first cyber security graduate research programme and lab (Cybersecurity Researchers of Waikato (CROW)) in 2012,
• NZ's first Master of Cyber Security (encompassing technical and law courses), the NZ Cyber Security Challenge since 2014, and
• NZ Institute for Security and Crime Science – Te Puna Haumaru as its founding director, the Evidence Based Policing Centre (at Wellington with NZ Police and ESR), and Master of Security and Crime Science in 2017 with the University of Waikato, NZ.

Over his academic career, Ko has been awarded A$20+million in competitive grants as lead Chief Investigator, and ~A$40+million as co-investigator. Prior to UQ, he was the highest funded computer scientist in New Zealand, as Principal Investigator and Science Leader of the largest MBIE-awarded cloud security research funding for STRATUS (NZ$12.2 million; 2014-2018). STRATUS' research was awarded 'Gold' by MBIE (i.e. top performing project, 2017), adopted by INTERPOL and featured in NZ's Department of Prime Minister and Cabinet's NZ Cyber Security Strategy 2016 annual report.

Ko has a track record developing international and national cyber security curricula, including:

• Co-creation of the gold-standard (ISC)2 Certified Cloud Security Professional (CCSP) curriculum (2014-2015)
• Authoring the draft of the NZQA's Level 6 Cybersecurity Diploma qualification as part of the NZ Cyber Security Skills Taskforce on behalf of the Department of Prime Minister and Cabinet.

Ko has also experience developing competitions and coaching competitive cyber security teams, including:

• Co-founding the NZ Cyber Security Challenge in 2014, and leading the NZCSC from 2014 to 2018. NZCSC is now the premier national cyber security competition in NZ.
• Co-founding the Oceania Cybersecurity Challenge (OCC) in 2020, and leading the competition from 2022 to present. OCC is now the regional qualifiers for the International Cybersecurity Challenge
• Co-founding the International Cybersecurity Challenge (ICC) as part of the Steering Committee in 2022. ICC has been held in Athens (2022) and San Diego (2023). It is aiming to be the world cup of cyber competitions.
• Head Coach of Team Oceania for the ICC. 2022 Results: Overall 4th; 2023 Results: Overall 2nd in the world.

He contributed to the establishment of the Government of Tonga CERT and CERT NZ, and has spoken regularly on cyber and cloud security research across the globe, including the OECD, Republic of Korea National Assembly (2018), INTERPOL (2017), TEDx Ruakura (2017), and the NZ Members of Parliament (2016).

Within the ISO/IEC JTC 1/SC 27, Prof Ko was Head of Delegation for the Singapore national body, served as Editor, ISO/IEC 21878 “Security guidelines for design and implementation of virtualized servers”, and hosted the ISO/IEC JTC 1/SC 27 meetings at Hamilton, NZ, in 2017. He is currently one of the editors of the ISO/IEC PWI 5181 Data Provenance Reference Model. In 2022, Ko co-chaired the development of the Singapore standard TR 106:2022 Tiered cybersecurity standards for enterprises in collaboration with the SPSTC and Singapore Cyber Security Agency.

Ko serves as an assessor for the Australian Research Council (ARC), Irish Research Council, Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO), and NZ MBIE College of Assessors (since 2015).

He is also an external expert for the Tertiary Education Quality and Standards Agency (TEQSA), and a member of the Australian Computer Society (ACS) Accreditation Committee. He has experience reviewing course proposals and served in governance roles for higher education institutes.

Ko has externally examined 11 PhD and 3 Masters theses for universities in Australia, New Zealand, Canada, Hong Kong and Singapore.

For his contributions to the field, he was elected Fellow of the Australian Computer Society, Fellow of the Queensland Academy of Arts and Sciences, and Fellow of Cloud Security Alliance (CSA) (2016). He was awarded the Singapore Government (Enterprise Singapore)’s Young Professional Award (2018) for his leadership at ISO, and awarded the inaugural CSA Ron Knode Service Award 2012 for the establishment of Cloud Data Governance and Cloud Vulnerabilities Research Working Groups. He is also recipient of the 2015 (ISC)2 Information Security Leadership Award.

For his research and teaching excellence, he was awarded the University of Queensland Awards for Excellence - Leadership (Commendation) (2023), EAIT Nominations for Most Effective Teacher (both semesters of 2020, 2021, 2022, 2023), University of Waikato's Early Career Excellence Award (2014), Faculty Teaching Excellence Awards (2014, 2015, 2018), and the Nola Campbell eLearning Excellence Award (2014). During his PhD, he was also awarded A*STAR SIMTech's Best Student Award (2009), and clinched the 1st Prize of the IEEE Services Cup 2009 at IEEE ICWS (CORE A*) in Los Angeles, CA.

Earlier in his career, Ko was a systems engineer, and subsequently founded two start-ups (one was a social enterprise which became an events/conventions management contractor with IMG at mega-events in Singapore, including the inaugural Youth Olympics in 2010).

He is an active science communicator and is regularly interviewed and featured by Australian (ABC News, SBS News, 7 News, 9 News, Courier Mail, Network 10, AFR), Singaporean (Channel NewsAsia, CNA Radio938), NZ (NZ Herald, Dominion Post, Stuff.co.nz, Waikato Times, TVNZ, Central TV) and international media on topics of cyber security, cybercrime and data privacy.