Information Resilience

Automated Horizon Scanning for Intellectual Property
This project aims to develop new robust information search and retrieval methods for technology landscaping based on large text corpus found in patent databases and research paper repositories.This project commenced in May 2023 with the recruitment of PhD Researcher Luhan Cheng who is based at Swinburne University of Technology.

Bias Mitigation in Human in the Loop Decision Systems
This PhD project is a collaboration with CIRES Partner Organisation the Queensland Police Service. It focuses on integrating fairness into learning algorithms used in the context of policing services and tasks and aims to observe if this leads to improved outcomes and experiences. It commenced in April 2023 with the recruitment of PhD researcher Hongliang Ni at The University of Queensland.

Curating Systems of Engagement
This research project is a collaboration with Astral Consulting and is tackling the critical issue of how information from an organisation’s public systems of engagement can be captured, developed and leveraged as information assets of value and will contribute to methodologies for improving enterprise information and knowledge management. It commenced in April 2023 with the recruitment of PhD Researcher Pa Pa Khin at Swinburne University of Technology.

Customer Data Stories
This project is a collaboration with Allianz Worldwide Partners Australia (AWP Australia) and is investigating how availability of collective and personalized data summaries impacts end-users and customers, and what behavioural changes are enacted as a result. It commenced in January 2023 with the recruitment of PhD Researcher Elyas Meguellati at The University of Queensland. This research will explore the use of data stories as an approach to improve customer engagement and decision making.

Data as a Service Architecture
This project is a collaboration with CIRES partner the Queensland Police Service and aims to develop a novel system for making efficient and effective queries and recommendations based on multi-source data, by constructing an enterprise knowledge graph model for analysing complex objects from multiple data sources. The project commenced in October 2023 with the recruitment of PhD researcher Fidan Karimova at The University of Queensland.

Defining and Measuring Analytics Value
This project in collaboration with Aginic, and commenced in February 2022 with the recruitment of PhD researcher Daisy Xu at The University of Queensland. It will develop a systematic methodology to define and measure the value of data and analytics for organisations. The methodology can provide Aginic and other firms investing in analytics with an evidence-based approach for ongoing value creation and measurement from data.

Developing Analytics-Driven Organisations
This PhD project is a collaboration with CIRES Partner Organisation Aginic. It will develop a systematic and organised approach to data-driven transformations and will help Aginic and other companies progress data-driven transformation journeys. The project commenced in April 2023 at The University of Queensland with the recruitment of PhD Researcher Jorge Retamales, and is focused on how data analytics can drive organisational transformation.

Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk Prediction
In collaboration with Queensland Health, this project aims to provide a platform-independent decision support framework using an interpretable machine learning approach for making effective risk predictions for paediatric patients at risk of sepsis. This project commenced in February 2025 with the recruitment of postdoctoral research fellow, Dr Xuwei Xu, who is based at The University of Queensland

Expanding Data Sets to Allow Improved Critical Care for Children – Outpatient Risk Prediction
This project, in collaboration with Queensland Health, aims to develop a probabilistic cloud-based health monitoring and risk prediction system that can predict clinical abnormalities based on streaming data of vitals of children with possible serious infection at home. The project commenced in April 2023 with the recruitment of PhD researcher Hrishi Patel, who is based at The University of Queensland.

Improving Sepsis Management through Better Data and Rapid Learning
This project will investigate sepsis prediction algorithms for both children and adults. Recognising sepsis as a global threat, Queensland Health created the Sepsis Breakthrough Collaborative. One focus of this initiative is to rely on the power of data and machine learning algorithms to develop a decision tool that supports early disease detection and treatment. This project commenced in February 2022 with the recruitment of PhD researcher Krishna Dermawan who is based at The University of Queensland.

Information Architecture and Forensic Data Analysis
This research project is a collaboration with Astral Consulting and is investigating how explainable AI can improve Enterprise Information Architectures to establish a more forensic approach to the discovery, sharing, and use of vital business information. It commenced in March 2022 with the recruitment of PhD Researcher Lufan Zhang at Swinburne University of Technology.

Interpretable AI-Theory and Practice
A major bottleneck for enterprises adopting AI is the difficulty in applying and interpreting the correct method for a given problem. This project will survey available interpretable methods in AI and communicate best practices in both lay and comprehensive terms, and explore new theoretical landscapes to extend and innovate interpretable methods in AI, focusing on both uncertainty (aleatoric and epistemic), and causality. This project commenced in April 2023 with the recruitment of PhD researcher Eslam Zaher, who is based at The University of Queensland.

On-demand Dataset Builder
This project will develop a prototype system to showcase the scalability, reliability, and usability of an AI-assisted dataset builder for effective and efficient discovery and curation of multi-source and multi-modal educational data, working in close collaboration with domain experts and end users from the Queensland Department of Education. This project commenced in January 2024 with the recruitment of PhD researcher Mehrnoush Mohammadi Bolbanabad, who is based at The University of Queensland.

Using Data to Overcome Wellbeing Challenges Across the Life Spectrum
This PhD project is a collaboration with Health and Wellbeing Queensland. It applies predictive modelling to datasets for useful insights into urban, rural, and remote communities to drive innovation and change in clinical settings. This project commenced in April 2022 with the recruitment of PhD researcher Hechuan Wen who is based at The University of Queensland.

Value Measurement of Data Products
This project is a collaboration with Allianz Worldwide Partners Australia (AWP Australia) and focuses on how to maximise data driven value creation and capture. It will challenge and extend the current body of knowledge on value of data products including computation, human effort and perceived value, and deliver a domain-agnostic framework that will build business capacity on informing and prioritising data science projects. This project commenced in October 2023 with the recruitment of Zirui (Alice) Tan at The University of Queensland.