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Dr Gaela Kilgour is a Post Doctoral Research Fellow at the Cerebral Palsy and Rehabilitation Research Centre in Brisbane. Gaela is a physiotherapist from New Zealand with over 30 years of clinical experience from neonatal care to adolescents across all clinical and education setting. Gaela completed her PhD in 2022 through The University of Melbourne investigating participation in physical activity for adolescents with CP and exploring their experiences and their families of sustaining participation now and into their future. Gaela is a passionate clinical researcher who focuses on real world family experiences and family centred care. She is a keen athlete and hopes to share her joy and the benefits of being active from early childhood to promote well-being across the family.

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).

Dr. Byungki Kim joined the UQ Business School in 2018 after completing his PhD at KAIST (Korea Advanced Instituted of Science and Technology) in South Korea. He is an empirical archival researcher in financial accounting, focusing on topics such as capital markets, corporate governance, corporate disclosure, and corporate social responsibility.

His research has been published in leading academic journals (FT50 | ABDC A*), including Contemporary Accounting Research and Journal of Business Ethics and presented at prestigious international conferences such as the American Accounting Association Annual Meeting, Academy of Management Annual Meeting, Hawaiian Accounting Research Conference, BYU Accounting Research Symposium, AFAANZ Annual Conference, Korea Accounting Association Annual International Conference, and Korean Securities Association Conference.

He also regularly serves as a referee for esteemed journals such as Journal of Business Finance & Accounting, British Accounting Review, Accounting & Finance, Journal of Contemporary Accounting & Economics, Asia Pacific Journal of Accounting & Economics, Australian Accounting Review, and Meditari Accountancy Research.

Dr Minjun Kim specalizes in the design and synthesis of functional nanoporous materials with novel nanoarchitectures.

Dr Kim's research focuses on the design and synthesis of functional nanoporous materials with novel nanoarchitectures, and their potential towards energy storage and conversion applications. Consdiering himself as a researcher seeking both fundamental and practical aspects of materials science, Dr Kim has specifically investigated how the physical properties of materials are translated into the electrochemical properties based on the concept of 'Nanoarchitectonics'.

Dr Minjun Kim received his bachelor degree from the University of Queensland in 2015. After that, he joined the National Defence Research Institute (NDRI) located in Seoul, South Korea as a research assistant (2015-2017). He completed his PhD at the University of Queensland in 2023 and he is a current postdoctoral research fellow at the Australian Institute for Bioengineering & Nanotechnology (AIBN). He has successfully designed and synthesized various novel porous carbon materials, and specifically investigated the effect of unique nanoarchitectures on the electrochemical properties for energy storage and conversion applications. To date, Dr Minjun Kim has published >50 research articles in international peer-reviewed journals and recieved >3,000 citations (h-index of 27).

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.

Robyn’s teaching expertise is in management accounting at the introductory, advanced and post graduate levels. Her research interests include management control system design and use, with a particular interest in health care settings. Robyn’s prior work focussed on how management control system design varies with ownership of health care organisations. More recently the focus has shifted to management control system design and use in innovative organisations and not for profit settings. In conducting her research Robyn has worked closely with a number of Queensland hospital and health services, the Australian Association of Practice Management and privately held health care businesses. Robyn is an active member of the UQBS Future of Health Research Hub Future of health - Business School - University of Queensland.

Michelle is a sociologist and lawyer: her research focuses on decision-making and the operation of law and regulation in practice for people with disabilities and other impairments to communication and legal capacity. She has research interests in the sociology of law, decision-making (supported and substituted), legal personhood, the UNCPRD, disability law, legal and administrative transition to adulthood, communication impairments, and profound intellectual disability. Her work examines decision-making in practice in a range of areas, including health and aged care, banking and finance, income support, and the NDIS. Michelle is trained in both qualitative and quantitative methods, and has extensive experience in research development, design, and practice, as well as health consumer research and co-design.

Michelle works on the MRFF funded project: Unspoken, Unheard, Unmet: Improving Access to Preventative Health Care through Better Conversations about Care. She leads the experience gathering stage of the project, the co-design elements of the work, and the development of guidelines about communication, decision-making, and aged care.

Michelle is also a consumer and disability advocate, with experience in strategic policy development, implementation, and evaluation, including the co-design of state level strategy for transition to adulthood health care, and on Australia’s National Living Evidence Taskforce. She is also the consumer board Chair of Child Unlimited, a consortium of researchers, clinicians, and consumers working towards best evidence-based practice in health care for children and young adults with chronic ill health and disabilities, and co-chair of the consumer advisory committee for the ARC Centre of Excellence Life Course Centre.

James N. Kirby, Ph.D., is a Clinical Psychologist and the Co-Director of the Compassionate Mind Research Group at the University of Queensland. He has broad research interests in compassion, but specifically examines factors that facilitate and inhibit compassionate responding. He also examines the clinical effectiveness of compassion focused interventions, specifically in how they help with self-criticism and shame that underpin many depression and anxiety disorders. James also holds a Visiting Fellowship at the Center for Compassion and Altruism Research and Education at Stanford University and is an Honorary Member of the Compassionate Mind Foundation UK. In 2022 he authored Choose Compassion, and in 2020 he co-edited Making an Impact on Mental Health. He serves as an Associate Editor for two international journals Mindfulness and Psychology & Psychotherapy: Theory, Research & Practice.