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Dr Saeed Akhlaghpour is an Associate Professor of Information Systems at UQ Business School. Prior to joining the University of Queensland in 2015, he held academic positions at Middlesex University London (UK), and McGill University (Canada) - where he also obtained his PhD in Management.

Saeed is a Fellow of the Higher Education Academy. He teaches Information Systems, Artificial Intelligence (AI), and digital strategy and governance in the Master of Business Analytics, Master of Commerce, MBA, and Executive Education programs. Previously, he has taught courses to MBA and undergraduate business students in Brisbane, London, Montreal, and Tehran.

Saeed’s research has been published in top-tier academic outlets, including the American Journal of Sociology, Journal of the Association for Information Systems, Journal of Information Technology, Information and Organization, Journal of the American Medical Informatics Association, International Journal of Medical Informatics, International Journal of Information Management, Journal of Business Research, and the Best Paper Proceedings of Academy of Management. His articles are cited in the EU policy documents and have received research and impact awards from the Administrative Sciences Association of Canada, and the Australasian chapter of the Association for Information Systems (AIS).

His research interests include:

• Data protection, privacy, and cybersecurity (particularly, organisational response to data breaches, and managing personal health information (PHI))
• Digital health and transformation of healthcare services
• Diffusion, adoption, and governance of digital innovations (particularly, Enterprise Generative AI)

Saeed has been a Chief Investigator in an Australian Research Council (ARC) funded Linkage Project studying Digital Hospital implementation in Queensland hospitals and health services. He received the UQ Business School Cross Cross-Disciplinary Research Award in 2021. He is a founding member of the Future of Health and Trust, Ethics, and Governance Alliance research hubs.

He is a Guest Editor of Information and Organization, Section Editor of the Australasian Journal of Information Systems, Associate Editor of the Asia Pacific Journal of Information Systems (APJIS), and Editorial Board member of the International Journal of Medical Informatics. He chairs the annual DIGIT Workshop of the Special Interest Group on Adoption and Diffusion of Information Technology (SIG ADIT) and co-chairs the Digital Health Care track at the Australasian Conference on Information Systems (ACIS). He has co-chaired tracks at the International Conference on Information Systems (ICIS) and the Pacific Asia Conference on Information Systems (PACIS).

Prof David Ascher is currently an NHMRC Investigator, immediate past Director of the Biotechnology Program, and Deputy Associate Dean (Research Partnerships) in the Faculty of Science at the University of Queensland. He is also Head of Computational Biology and Clinical Informatics at the Baker Institute.

David’s research focus is in modelling biological data to gain insight into fundamental biological processes. One of his primary research interests has been developing tools to unravel the link between genotype and phenotype, using computational and experimental approaches to understand the effects of mutations on protein structure and function. His group has developed a platform of over 40 widely used programs for assessing the molecular consequences of coding variants (>7 million hits/year).

Working with clinical collaborators in Australia, Brazil and UK, these methods have been translated into the clinic to guide the diagnosis, management and treatment of a number of hereditary diseases, rare cancers and drug resistant infections.

David has a B.Biotech from the University of Adelaide, majoring in Biochemistry, Biotechnology and Pharmacology and Toxicology; and a B.Sci(Hon) from the University of Queensland, majoring in Biochemistry, where he worked with Luke Guddat and Ron Duggleby on the structural and functional characterization of enzymes in the branched-chain amino acid biosynthetic pathway. David then went to St Vincent’s Institute of Medical Research to undertake a PhD at the University of Melbourne in Biochemistry. There he worked under the supervision of Michael Parker using computational, biochemical and structural tools to develop small molecules drugs to improve memory.

In 2013 David went to the University of Cambridge to work with Sir Tom Blundell on using fragment based drug development techniques to target protein-protein interactions; and subsequently on the structural characterisation of proteins involved in non-homologous DNA repair. He returned to Cambridge in 2014 to establish a research platform to characterise the molecular effects of mutations on protein structure and function- using this information to gain insight into the link between genetic changes and phenotypes. He was subsequently recruited as a lab head in the Department of Biochemistry and Molecular Biology at the University of Melbourne in 2016, before joining the Baker Institute in 2019 and the University of Queensland in 2021.

He is an Associate Editor of PBMB and Fronteirs in Bioinformatics, and holds honorary positions at Bio21 Institute, Cambridge University, FIOCRUZ, and the Tuscany University Network.

Mikael Bodén has a PhD in Computer Science and statistical machine learning from the University of Exeter (UK) but has spent the last decade and a half in biological research environments, including the Institute for Molecular Bioscience/ARC Centre of Excellence in Bioinformatics and the School of Chemistry and Molecular Biosciences, where he is currently located. He is the director of UQ’s postgraduate program in bioinformatics. Mikael Bodén has supervised 7 postdocs from funding he received from both ARC and NHMRC; he has been the primary advisor for 11 PhD and 3 MPhil graduates; he is currently supervising another 6 PhD students in bioinformatics and computational biology. Mikael Bodén collaborates with researchers in neuroscience, developmental biology, protein engineering and bioeconomy to mention but a few, and contributes expertise in the processing, analysis and integration of biological data; this is exemplified by recent publications in Science, Nature Catalysis, Nature Communications, Cell Systems, Nucleic Acids Research and Bioinformatics.

Dr Steffen Bollmann joined UQ’s School of Electrical Imaging and Computer Science in 2020 where he leads the Computational Imaging Group. The Group is developing computational methods to extract clinical and biological insights from magnetic resonance imaging (MRI) data. The aim is to make cutting-edge algorithms and tools available to a wide range of clinicians and researchers. This will enable better images, faster reconstruction times and the efficient extraction of clinical information to ensure a better understanding of a range of diseases. Dr Bollmann was appointed Artificial Intelligence (AI) lead for imaging at UQ’s Queensland Digital Health Centre (QDHeC) in 2023.

His research expertise is in quantitative susceptibility mapping, image segmentation and software applications to help researchers and clinicians access data and algorithms.

Dr Bollmann completed his PhD on multimodal imaging at the University Children’s Hospital and Swiss Federal Institute of Technology (ETH) Zurich, Switzerland.

In 2014 he joined the Centre for Advanced Imaging at UQ as a National Imaging Facility Fellow, where he pioneered the application of deep learning methods for quantitative imaging techniques, in particular Quantitative Susceptibility Mapping.

In 2019 he joined the Siemens Healthineers collaborations team at the MGH Martinos Center in Boston on a one-year industry exchange where he worked on the translation of fast imaging techniques into clinical applications.

Shakes an imaging expert that leads a strong deep learning, artificial intelligence (AI) focused research team interested in medical image analysis and signal/image processing applied to many areas of science and medicine. He received his Ph.D in Theoretical Physics from Monash University, Melbourne and has been involved in applying machine learning in medical imaging for over a decade.

Shakes’ past work has involved developing shape model-based algorithms for knee, hip and shoulder joint segmentation that is being developed and deployed as a product on the Siemens syngo.via platform. More recent work involves deep learning based algorithms for semantic segmentation and manifold learning of imaging data. Broadly, he is interested in understanding and developing the mathematical basis of imaging, image analysis algorithms and physical systems. He has developed algorithms that utilise exotic mathematical structures such as fractals, turbulence, group theoretic concepts and number theory in the image processing approaches that he has developed.

He is currently a Senior Lecturer and leads a team of 20+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.

Summary of Research:

• My current research at UQ is as Professor in this School (teaching AGRC3040 Crop Physiology) and as an Affiliate Professor of QAAFI. Since 2020, with full-time appointment at UQ, my research portfolio has included multiple projects in applications of machine learning and artificial intelligence into the ag domain. This area is developing rapidly and across UQ, I am engaging with faculty in multiple schools (ITEE, Maths and Physics, Mining and Mech Engineering) as well as in the Research Computing Centre to develop new projects and training opportunities at the interface of field agriculture and these new digital analytics.
• My career research has been around genetic and environment effects on physiology of field crops, particularly where drought dominates. Application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions (CSIRO Entrepreneurship Award 2022) through to applications of deep-learning to imagery to assist breeding programs.
• Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.

Dr Archie Chapman is an Associate Professor in Computer Science in the School of IT and Electrical Engineering.

Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.

Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.

Jen Jen Chung is an Associate Professor in Mechatronics within the School of Electrical Engineering and Computer Science at The University of Queensland. Her current research interests include perception, planning and learning for robotic mobile manipulation, algorithms for robot navigation through human crowds, informative path planning and adaptive sampling. Prior to working at UQ, Jen Jen was a Senior Researcher in the Autonomous Systems Lab (ASL) at ETH Zürich from 2018-2022 and was a Postdoctoral Scholar at Oregon State University researching multiagent learning methods from 2014-2017. She completed her Ph.D. on information-based exploration-exploitation strategies for autonomous soaring platforms at the Australian Centre for Field Robotics in the University of Sydney. She received her Ph.D. (2014) and B.E. (2010) from the University of Sydney.

Shane Culpepper is Professor of Artificial Intelligence at the University of Queensland in St. Lucia, Australia. Before joining the University of Queensland in 2023, Professor Culpeper held a continuing academic position at RMIT University in Melbourne, Australia. He received his PhD in Computer Science from the University of Melbourn in 2008. His research focuses primarily on building better Search and Recommendation Systems. Over his 16 year career, Professor Culpepper has supervised 19 PhD students and co-authored more than 120 peer reviewed papers with 127 different research collaborators on problems such as algorithm efficiency and scalability, new machine learning algorithms for search and recommendation systems, and evaluating search and recommendation engine quality. Professor Culpepper is also an active member in the international research community. In the last 5 years, he has been a program co-chair for international conferences such as SIGIR and CIKM, and co-organized conferences such as WSDM and SWIRL. Professor Culpepper previously held an ARC DECRA fellowship in 2013 as well as an RMIT Vice-Chancellor's Princpal Researcher fellowship in 2017. Before joining the University of Queensland. Professor Culpepper was the founding director of the Centre for Information Discovery and Data Analytics at RMIT University. In total, he has been a chief investigator on 11 reseach grants totalling ~$3.5 Million AUD. For more information, see his personal hoomepage.

Pratap is an IP Strategist and Patent researcher. He has expertise in dealing with Intellectual Property issues in relation to emerging technologies such as Artificial Intelligence (AI), 3D bioprinting and synthetic biology. He is currently a Postdoctoral fellow at TC Bernie School of Law, University of Queensland, Australia. Pratap pursued his PhD from the Centre for Law and Genetics, University of Tasmania, Australia where his research was focused on "Patenting issues related to Bioprinted tissues and Bioinks." In 2018, he was invited by Govt. of Japan to assist the Japanese Patent Office (JPO) in harmonizing Japanese Patent Law in relation to AI. In 2017, he completed his Master of Law (LLM) in Intellectual Property from the World Intellectual Property Organization (WIPO), Geneva and the Queensland University of Technology, Australia. He is the recipient of the prestigious International Fellowship offered by WIPO. He holds a Master's degree in Genomics from the Central University of Kerala, India and a Bachelor’s degree in Biotechnology, Microbiology, and Chemistry from Acharya Nagarjuna University, India. Pratap also holds a Postgraduate Diploma in Patent informatics from the Academy of Scientific and Innovative Research (AcSIR) at the CSIR Unit of Research and Development of Information Products (URDIP), India and worked as a Patent researcher in the same.

Gordon holds a PhD in Chemical Engineering from the University of Cape Town, South Africa, which focused on the application of machine vision, image processing and machine learning algorithms for modelling grade in froth flotation systems.

Gordon spent ten years working for the Victorian Government developing technical computing and modelling solutions. These included the development of the Environmental Systems Modelling Platform, a tool that aims to bring multiple environmental models and datasets into a single easy to use software package, and the development of the Native Vegetation Regulations Tool, to calculate the interactions between proposed clearings and models of rare and threatened species, and thereby determine the required offset credits. More recently, Gordon worked as a data scientist at the Victorian Centre for Data Insights, where he worked with a team focused on delivering innovative data driven solutions across the government sector.

Gordon now applies his data analytics, modelling and technical computing skills at the JKMRC where he works with the Advanced Process Prediction and Control group developing tools for improved time series analysis and visualisation of industrial data and comminution process models.

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.

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

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 Jessica Korte is passionate about the ways good technology can improve lives. To ensure technology is “good”, she advocates involving end users in the design process; especially when those people belong to “difficult” user groups - which usually translates to “minority” user groups. Her philosophy for technology design (and life in general) is that the needs of people who are disempowered or disabled by society should be considered first; everyone else will then benefit from technology that maximises usability. Her research areas include Human-Computer Interaction, Machine Learning, and Participatory & Collaborative Design.

Jessica was drawn to research by a desire to explore some of the ways technology and design can empower and support people from marginalised groups. She has worked with Deaf children and members of the Deaf community to create a technology design approach, and successfully organised and run international workshops on Pushing the Boundaries of Participatory Design, leading to the World’s Most Inclusive Distributed Participatory Design Project.

Jessica has recently been awarded a TAS DCRC Fellowship to create an Auslan Communication Technologies Pipeline, a modular, AI-based Auslan-in, Auslan-out system capable of recognising, processing and producing Auslan signing.

Jessica is currently looking to recruit research students with an interest in exploring topics in an Auslan context, including machine learning, natural language processing, chatbots, video GAN, or procedural animation.

Brian C. Lovell, born in Brisbane, Australia in 1960, received his BE in Electrical Engineering (Honours I) in 1982, BSc in Computer Science in 1983, and PhD in Signal Processing in 1991, all from the University of Queensland (UQ). Currently, he is the Project Leader of the Advanced Surveillance Group at UQ. Professor Lovell served as the President of the International Association of Pattern Recognition from 2008 to 2010, is a Senior Member of the IEEE, a Fellow of the IEAust, Fellow of the Asia-Pacific AI Association, and has been a voting member for Australia on the Governing Board of the International Association for Pattern Recognition since 1998.

He is an Honorary Professor at IIT Guwahati, India; an Associate Editor of the Pattern Recognition Journal; an Associate Editor-in-Chief of the Machine Learning Research Journal; a member of the IAPR TC4 on Biometrics; and a member of the Awards Committee and Education Committee of the IEEE Biometrics Council.

In addition, Professor Lovell has chaired and co-chaired numerous international conferences in the field of pattern recognition, including ICPR2008, ACPR2011, ICIP2013, ICPR2016, and ICPR2020. His Advanced Surveillance Group has collaborated with port, rail, and airport organizations, as well as several national and international agencies, to develop technology-based solutions for operational and security concerns.

His current research projects are in the fields of:

• Artificial Intelligence
• StyleGAN
• Stable Diffusion
• Deep Learning
• Biometrics
• Robust Face Recognition using Deep Learning
• Masked Face Recognition for COVID-19 Pandemic
• Adversarial Attacks on AI Systems
• Digital Pathology
• Neurofibroma Detection and Assessment
• Object Detection with Deep Learning

I am actively recruiting PhD students in Artificial Intelligence to work with my team. If you are interested and have a strong record from a good university, with a publication in a good conference such as CVPR, ICCV, ECCV, or MICCAI please send your CV to me. Full Scholarships (Tuition and Living) can be awarded within one month for truly exceptional candidates.

Janet R. McColl-Kennedy is Professor of Marketing, UQ Business School, and Lead, Innovation Pathways Program, FaBA (Australia's Food and Beverage Accelerator), Trailblazer Universities program, The University of Queensland, Brisbane, Australia.

Professor McColl-Kennedy is an Honorary Visiting Professor and Fellow, Cambridge Service Alliance, Institute for Manufacturing, in the Department of Engineering, the University of Cambridge, UK. Research Collaborators | Cambridge Service Alliance. She is also the Founding Co-Lead of the Service Innovation Alliance (SIA) Research Hub at the Business School, The University of Queensland. SIA is a multidisciplinary research hub focusing on Customer Experience, Service Innovation and Sustainability, with an emphasis on AI, digital transformation and service design.

Janet embodies scholarly excellence. She is an elected Fellow of the prestigious Academy of the Social Sciences in Australia (ASSA) in 2022 for her distinguished contribution to the social sciences. She is also a Distinguished Fellow of the Australian and New Zealand Marketing Academy (ANZMAC) having "demonstrated outstanding contributions to the Academy and also demonstrated eminence in the Marketing discipline through research, scholarship, education and leadership". https://anzmac.org/fellows/

In 2024 Professor Janet McColl-Kennedy was appointed to the Australian Research Council (ARC) College of Experts based on her exemplary sustained track record of obtaining and leading her teams to the successful completion of their respective programs of research. The ARC College of Experts plays a very important role for the ARC and the research community more broadly. Appointees assign external assessors and help rank and moderate ARC grant applications that have been submitted under the National Competitive Grants Program (NCGP). They also assist with recruitment of new assessors and provide advice for peer review reforms to the ARC. This appointment is recognition of her international standing and contributions to research both in Australia and internationally.

Professor McColl-Kennedy was recognised in the "Highly Cited Researcher Awards for 2021", released by Clarivate™. This outstanding achievement is for those who are pioneers in their field, demonstrated by the production of multiple highly cited papers that rank in the top 1% by citations for the field and year in the Web of Science™. She received a commendation by UQ’s Vice Chancellor Deborah Terry. “This is a very significant achievement that reflects the outstanding quality and impact of their research.” Only two persons in Australia were listed in the “Economics and Business” category, Janet being the only academic in Marketing in Australia to receive this award. In 2023 and 2024 she was ranked in the World's Best Business and Management Scientists by Research.com. https://research.com/scientists-rankings/business-and-management/au

Professor Janet McColl-Kennedy has made a significant research contribution to the discipline of Marketing, specifically in her research area of “Services”. With over 200 publications (91 being refereed international journal articles, 21 book chapters/books, 6 industry articles, white papers, and reports, 14 workbooks and 73 refereed international conference papers), Professor McColl-Kennedy is not only a leading senior marketing academic in Australia, she is internationally recognised as a leading researcher in Service Science. Her research interests focus on customer experience management and measurement, and the role of digital technology, AI, customer insights and choice preferences, customer complaining behaviour and customer value co-creation. She has particular expertise in health care services. Professor McColl-Kennedy is dedicated to nurturing the next generation of researchers mentoring over 20 PhD and honours students.

Janet leads several cross disciplinary and international research teams, obtaining over $83.9 million in competitive research grants, including 20 years of continuous funding from the prestigious Australian Research Council (ARC).

She has a H index of 60 (Google scholar) 44 (Scopus) and over 20,610 citations (Google Scholar).

Professor McColl-Kennedy has held several senior leadership positions in the UQ School of Management and UQ Business School, including Marketing Discipline Leader for 10 years from 1996 to 2005, Research Director of the UQ Business School from January 2006 to June 2008 and from April 2009 to January 2010, Director International in the School of Business from January to December 2010 and Associate Director, Research (Engagement and Impact) in 2019 before being appointed Director of Research again in January 2020 until January 2023.

Professor McColl-Kennedy has held Visiting Professorships at Indiana University, USA, Bocconi University Milan, Italy, the University of New South Wales, Sydney, and the University of Cambridge, UK.

Professor McColl-Kennedy’s work consistently appears in prestigious journals in her field such as the Journal of Retailing, Journal of the Academy of Marketing Science, Leadership Quarterly, Journal of Service Research, Harvard Business Review, European Journal of Marketing, Journal of Business Research, Journal of Service Management, Psychology and Marketing, Journal of Services Marketing, Journal of Marketing Management and Industrial Marketing Management.

In recognition of her international research reputation she is an inaugural member of the Advisory Board of the Cambridge Service Alliance, University of Cambridge, UK, a global alliance between leading businesses and universities. Founded by Cambridge University Institute for Manufacturing and Judge Business School, in alliance with BAE Systems, IBM, and Caterpillar the Cambridge Service Alliance was formed in 2010 and is designed to bring together some of the world’s best firms and researchers devoted to delivering today the insights, education and approaches needed for the Complex Service Solutions of tomorrow. For more information on Cambridge Service Alliance see http://www.ifm.eng.cam.ac.uk/research/service/.

Her latest work focuses on measuring and managing customer experience (CX) See https://managementink.wordpress.com/2018/12/21/gaining-customer-experience-insights-that-matter/

• Appointed to the Advisory Board of CTF Service Research Center, Karlstad University, Sweden from 2012 ongoing. Global companies on the board include Ericsson, Tetra Pak, Volvo and IKEA.
• Appointed to the Internationally Scientific Advisory Board (ISAB), Norwegian School of Economics (NHH), Norway from 2014 -2022.
• Appointed as Academic Scholar, Cornell Institute for Healthy Futures, Cornell University, New York, USA, 2016 -2019.
• Appointed Research Faculty in the Center for Service, Arizona State University, USA in 2018 ongoing.

RESEARCH AWARDS

* April 2024 – Ranked in 2024 World's Best Business and Management Scientists. (See World's Best Business and Management Scientists: H-Index Business and Management Science Ranking in Australia 2024 | Research.com). Ranked second top Marketing Professor in all of Australia.

* June 2023 - Received the inaugural Bo Edvardsson Industry Impact in Services award, QUIS18, VinUniversity, Hanoi, Vietnam.

* November 2022 – Elected Fellow of the Academy of The Social Sciences in Australia (FASSA) https://socialsciences.org.au/

* June 2020 – Awarded highly commended paper. Finalist (with two others) for the 2019 Journal of Service Research best paper award.

[McColl-Kennedy, J.R., M. Zaki, K. Lemon, F. Urmetzer and A. Neely (2019), “Gaining Customer Experience Insights that Matter”, Journal of Service Research, 22, 1, pp.8-26.]

* December 2019 awarded the 2019 University of Queensland Business School's “Research Team Engagement Award" for outstanding achievement in research - Service Innovation Alliance (SIA) interdisciplinary research group.

https://business.uq.edu.au/service-innovation-alliance

*July 2019 – “Robert Johnston Highly Commended Paper award of 2018”. “Awarded for your outstanding research” by the Journal of Service Management Editorial Review Board. Award presented at Frontiers in Service Conference, 19 July 2019, Singapore.

[Bolton, R., J.R. McColl-Kennedy, L. Cheung, A.S. Gallan, C. Orsingher, L. Witell, M. Zaki (2018), “Customer Experience Challenges: Bringing Together Digital, Physical and Social Realms”, Journal of Service Management, 29, 5, pp. 776-808.]

* November 2018 - Awarded the Cross-Discipline Research Award by the UQ Business School for outstanding achievement in research (29 November 2018).

* September 2018 - "the most influential marketing academic in Australia". Professor McColl-Kennedy is named "the leading researcher in the field of Marketing in Australia", "Australia’s Research Field Leaders” The Australian, 26 September, 2018, page 12.

* June 2017 - Best Article Finalist – “Highly Commended Paper of 2016” Journal of Service Research article.

[Patterson, P. G., M. K. Brady and J.R. McColl-Kennedy (2016), "Geysers or Bubbling Hot Springs? A Cross-cultural Examination of Customer Rage From Eastern and Western Perspectives, Journal of Service Research, 19, 3, pp. 243-259.]

* February 2016 – “Highly Commended Paper of 2015”. Short listed for the Journal of Service Management (JOSM) - 2015 - Robert Johnston Award with two others).

[McColl-Kennedy, J.R., P.G. Patterson, M.K. Brady, L. Cheung and D. Nguyen (2015), “To Give or Not to Give Professional Services to Non-paying Clients: Professionals’ Giving Backstory”, Journal of Service Management, 26 (3): 426-459.]

* October 2015 our paper Bolton, R.N., Gustafsson, A., McColl-Kennedy, J.R., Sirianni, N.J. and Tse, D.K. (2014), “Small Details that Make Big Differences: a Radical Approach to Consumption Experience as a Firm's Differentiating Strategy”, Journal of Service Management, Vol. 25, No. 2, pp. 253-274 made it into the top 20 most cited Marketing articles since 2011 list.

* March 2015 - Highly Recommended paper - Short listed (in the top four best papers) for the best 2014 article in Journal of Service Management."As of November / December 2014 , this highly cited paper received enough citations to place it in the top 1% of the academic field of Economics & Business based on a highly cited threshold for the field and publication year." Source: ISI Web of Science.

[ Bolton, R.N., Gustafsson, A., McColl-Kennedy, J.R., Sirianni, N.J. and Tse, D.K. (2014), “Small Details that Make Big Differences: a Radical Approach to Consumption Experience as a Firm's Differentiating Strategy”, Journal of Service Management, Vol. 25, No. 2, pp. 253-274.]

* March 2013 - Highly Recommended - Short listed (in the top five best papers) for the best 2012 article in Journal of Service Research. [McColl-Kennedy, J.R., Vargo, S.L., Dagger, T.S., Sweeney, J.C. and van Kasteren, Y. (2012). “Health Care Customer Value Cocreation Practice Styles”, Journal of Service Research, Vol.15, No. 4, pp. 370-389 – the lead article.]

* 2011 Appointed Fellow of ANZMAC (Australian and New Zealand Marketing Academy) since 2011, having “demonstrated outstanding contributions to the Academy and also demonstrated eminence in the Marketing discipline through research, scholarship, education and leadership”. https://anzmac.org/fellows/

* 2011 Winner of the Distinguished Researcher Award (Australian and New Zealand Marketing Academy). “This is an annual award for a member of the ANZMAC community judged to have made the most significant contribution to advancing our knowledge of marketing through their research”.

* 2011 Short listed (with two other papers) for the Accenture Award. The award is given each year to the author(s) of the article published in the California Management Review in 2009 that has "made the most important contribution to improving the practice of management". [Patterson, P.G., McColl-Kennedy, J.R., Smith, A.K. and Lu, Z. (2009), “Customer Rage: Triggers, Tipping Points and Take-Outs”, California Management Review, Vol. 52, No. 1, pp. 6-28.]

* 2011 “Outstanding author contribution” winner, Emerald Literary Network, Award for Excellence for 2010 chapter "Service encounter needs theory: A dyadic, psychosocial approach to understanding service encounters". [Bradley, G.L., McColl-Kennedy, J.R., Sparks, B.A., Jimmieson, N.L. and Zapf, D. (2010), “Service Encounter Needs Theory: A Dyadic, Psychosocial Approach to Understanding Service Encounters”, in Zerbe, W.J., Härtel, C.E.J., and Ashkanasy, N.M. (Eds.) Research on Emotion in Organizations, Volume 6: Emotions in Creativity, Learning, and Change, Emerald Group Publishing/JAI Press, Bingley, UK, pp. 221-258.]

* 2010 Honorable mention - Short listed for best "Services" article published in 2009 by AMA SERVSIG [McColl-Kennedy, J.R., Patterson, P.G., Smith, A.K. and Brady, M. (2009). “Customer Rage Episodes: Emotions, Expressions and Behaviors”, Journal of Retailing, Vol. 85, No. 2, pp. 222-237.]

* 2010 Awarded best paper in AMJ [Tombs, A.G. and McColl-Kennedy, J.R. (2010), “Social and Spatial Influence of Customers on Other Customers in the Social-servicescape”. Australasian Marketing Journal, Vol. 18, No. 3, pp. 120-131.]

* 2009 Best paper award 2009 EIASM Naples Forum on Service, Capri Italy (McColl-Kennedy et al 2009)

* 2008 Best paper award 2008 ANZMAC conference (McColl-Kennedy and Patterson 2008)

* 2003 Best paper award European Marketing Conference (EMAC) 2003

* 2001 Best paper award AMA SERVSIG Conference 2001

MAJOR GRANTS – Leads cross disciplinary international research teams

*2022-2024 ARC Linkage Projects Grant [LP2102000586] [$1,258,024 including $596,349 cash ($496,349 cash from ARC and $100,000 cash from partner organisations)] “Transforming Primary Healthcare Service Delivery: A Digital-Human Approach” Team: (Professor Janet McColl-Kennedy (Lead CI), UQ Emeritus Professor Mieke van Driel Kalwun Health Service, Associate Professor Lisa Hall UQ School of Public Health, Professor Damian Hine UQ GCI/QAAFI, Dr Mohamed Zaki Cambridge Service Alliance, The University of Cambridge, Dr Christoph Breidbach UQ Business School, Ms Tracey Johnson CEO Inala Primary Care and Adjunct Professor Paresh Dawda)

*2016-2022 ARC Discovery Projects Grant [DP160100421] [$330,000] “Modelling Multidimensional Multiparty Decisions to Improve Outcomes for Customers and Service Providers: New Theory and Measurement Tools” (Professor Janet McColl-Kennedy (Lead CI), Assoc. Professor Len Coote, Professor Claire Wainwright, (UQ Medical School) Professor Scott Bell (UQ Medical School), Professor Michael Brady, Florida State University)

*2015-2021 ARC Linkage Projects Grant [LP150100629] [$1.1 million including $180,000 from ARC] “Examining the Effectiveness of Patient-centred Practices on Health Outcomes” (Professor Pennie Frow Uni of Sydney (Lead CI), Professor Janet McColl-Kennedy, UQ, Professor Adrian Payne UNSW, Dr Rahul Govind UNSW)

*2011-2015 ARC Discovery Projects Grant [DP110102312] [$350,000] 'Pro Bono Service: Drivers, Delight, Dark Side and Downside for the Professional' (Professor Janet McColl-Kennedy (Lead CI), Professor Paul G. Patterson UNSW, Professor Michael K. Brady Florida State University and Dr Doan Nguyen The University of Queensland.)

*2008-2010 ARC Discovery Projects Grant [DP0879469] [$220,000] 'Balancing the needs of customers and employees following service failure: A dyadic psychosocial approach' (with Graham Bradley and Beverley Sparks, Griffith University; Nerina Jimmieson, University of Queensland; and Dieter Zapf , Frankfurt University.)

* 2007-2012 ARC Linkage Projects Grant [LP0775220] [$116,000] "Customer Co-production in Ongoing Health Service Delivery: A Longitudinal Study' (Professor Janet McColl-Kennedy UQ (Lead CI), Dr Tracey Dagger, University of Queensland, Professor Jill Sweeney, University of Western Australia, Bev Mirolo and Maryanne Hargraves, Haematology and Oncology Clinics of Australasia Pty Ltd).

* 2006-2008 ARC Discovery Projects Grant [DP0664410] [$240,000] "Customer Rage Spectrum Emotions in Service Failure Encounters: Linking Experience, Expression, Behaviour and Organisational Responses" Professor Janet McColl-Kennedy UQ (Lead CI), Professor P.G. Patterson, University of New South Wales, Associate Professor A.K. Smith George Washington University, USA, Professor M.K. Brady (Florida State).

* 2004-2007 ARC Discovery Projects Grant [DP0450736] [$210,000] "'The Impact of Customer-Focused Business Strategies on Organisational Performance in a Professional Service Context" (Assoc Professor J. Sweeney University of Western Australia (Lead CI), Professor G. Soutar, University of Western Australia and Professor Janet McColl-Kennedy UQ).

TEACHING

Professor McColl-Kennedy brings a wealth of experience from over 30 years of teaching at university level. She has taught classes at both the undergraduate level and postgraduate level, as well as undertaking executive training, across all modes of delivery including intensive, weekend, and weekly modes. She has taught in Australia, Singapore, Beijing, China, Seoul, Korea, Milan, Italy and in the USA.

Awards: 2020 Excellence Award in Blended Learning – Team Award UQ Business School

Awarded to: Master of Leadership in Service Innovation Team comprising of Assoc Professor David Solnet, Ryan Waters, Darren Mead, Carrie Finn, Anna Black, Elizabeth Sara Dominguez, Buddy Nuku, Michelle Goward, Professor Janet McColl-Kennedy, Dr Teegan Green, Assoc Prof Tim Kastelle, Assoc Professor Pierre Benckendorff, Dr Russell Manfield, Dr Ida Asadi Someh, Assoc Professor Nicole Hartley, Ms Daniela Berg, and Dr Richard O'Quinn.

She was the 2011 Winner of the UQ Business School Corporate Education Teaching Award. She has a sustained track record of high teaching evaluations in executive teaching and masters courses including MBA.

Professor McColl-Kennedy has supervised 50 masters dissertations and 15 PhD students to successful completion. Professor McColl-Kennedy has examined PhD theses from the University of Melbourne, University of New South Wales, University of Sydney, University of Auckland, Macquarie University, Sydney, and Griffith University, among others.

Dr Moni holds a PhD in Artificial Intelligence & Data Science in 2014 from the University of Cambridge, UK followed by postdoctoral training at the University of New South Wales, University of Sydney Vice-chancellor fellowship, and Senior Data Scientist at the University of Oxford. Dr Moni then joined UQ in 2021. He also worked as an assistant professor and lecturer in two universities (PUST and JKKNIU) from 2007 to 2011. He is an Artificial Intelligence, Computer Vision & Machine learning, Digital Health Data Science, Health Informatics and Bioinformatics researcher developing interpretable and clinical applicable machine learning and deep learning models to increase the performance and transparency of AI-based automated decision-making systems.

His research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving humans explainable AI models through feature visualisation and attribution methods. He has applied these techniques to various multi-disciplinary applications such as medical imaging including stroke MRI/fMRI imaging, real-time cancer imaging. He led and managed significant research programs in developing machine-learning, deep-learning and translational data science models, and software tools to aid the diagnosis and prediction of disease outcomes, particularly for hard-to-manage complex and chronic diseases. His research interest also includes developing Data Science, machine learning and deep learning algorithms, models and software tools utilising different types of data, especially medical images, neuroimaging (MRI, fMRI, Ultrasound, X-Ray), EEG, ECG, Bioinformatics, and secondary usage of routinely collected data.

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