Publications
For a complete and up-to-date list of my publications, please visit my Google Scholar profile.
Indigenous Peoples and Artificial Intelligence: A Systematic Review and Future Directions
Big Data & Society, 2025
A systematic literature review addressing the intersection of Indigenous Knowledge Systems (IKS) and artificial intelligence (AI), exploring how AI can be developed and deployed in ways that respect and integrate indigenous perspectives.
Potential Effects of Autonomous Vehicles on Transport Mode Choice and Sedentary Behaviour in an Australian Context — A Modelling Study
Transportation Research Interdisciplinary Perspectives, Vol. 32, 101540, 2025
A modelling study examining the potential effects of autonomous vehicles on transport mode choice and sedentary behaviour in an Australian context, using agent-based simulation.
Consumer Support for Restrictive Policies on Unhealthy Food and Beverage Delivery via Drones
Australian and New Zealand Journal of Public Health, Vol. 48, No. 6, 100193, 2024
This study examines consumer support for restrictive policies on unhealthy food and beverage delivery via drones, providing evidence for public health policy development around emerging delivery technologies.
CoPR: Collective Pattern Recognition — A Framework for Microbial Community Activity Analysis
bioRxiv (Preprint), 2024
We present CoPR (Collective Pattern Recognition), a framework for analysing microbial community activity by recognising collective patterns in complex microbiome data.
A Comparison of Content from Across Contemporary Australian Population Health Surveys
Australian and New Zealand Journal of Public Health, Vol. 48, No. 3, 100152, 2024
This study provides a systematic comparison of content from across contemporary Australian population health surveys, identifying overlaps, gaps, and opportunities for harmonisation.
Public Support for Proposed Government Policies to Optimise the Social Benefits of Autonomous Vehicles
Transport Policy, Vol. 149, pp. 264-270, 2024
This study examines public support for proposed government policies aimed at optimising the social benefits of autonomous vehicles, informing evidence-based policy development.
Towards an Agent-Based Platform for Crisis Management
In Preparation, 2024
This paper presents progress towards developing an agent-based platform for crisis management, leveraging simulation to support decision-making in emergency scenarios.
The Potential of Autonomous Delivery Services to Increase Fast-Food Consumption
Public Health Nutrition, Vol. 27, No. 1, e246, 2024
This study investigates the potential of autonomous delivery services to increase fast-food consumption, examining the public health implications of emerging delivery technologies.
How Will Physical Activity Change in an Autonomous Future?
Journal of Transport & Health, Vol. 39, 101924, 2024
This study examines how the introduction of autonomous vehicles and delivery services may affect physical activity levels, with implications for public health planning.
Insights into Artificial Intelligence Bias: Implications for Agriculture
Digital Society, Vol. 3, 48, 2024
An extensive review of the literature on biases and fairness in AI focusing on the field of agriculture, discussing the need for a holistic and inclusive approach to mitigate AI biases for the benefit of diverse farming communities.
Australians' Perceptions of the Potential Effects of Increased Access to Alcohol via Autonomous Delivery Services: A Multi-Method Study
Addictive Behaviors, Vol. 148, 107872, 2024
A multi-method study examining Australians perceptions of how increased access to alcohol via autonomous delivery services could affect consumption patterns and public health outcomes.
Semantic Segmentation using Vision Transformers: A Survey
Engineering Applications of Artificial Intelligence, Vol. 126, 106669, 2023
A comprehensive survey that reviews and compares the performances of Vision Transformer (ViT) architectures designed for semantic segmentation, covering applications in land coverage analysis, autonomous driving, and medical image analysis.
Anticipated Transport Choices in a World Featuring Autonomous Transport Options
Sustainability, 15(14), 11245, 2023
This study investigates how people anticipate their transport mode choices would change in a world featuring autonomous transport options, with implications for urban planning and sustainability.
DALLE-URBAN: Capturing the Urban Design Expertise of Large Text to Image Transformers
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2022
This paper investigates the capabilities and biases of text-to-image methods as they apply to the built environment, evaluating how large generative models capture urban design knowledge.
A Framework for Considering the Utility of Models When Facing Tough Decisions in Public Health: A Guideline for Policy-Makers
Health Research Policy and Systems, 2022
We present a three-stage framework to help policy-makers assess which models will be most helpful when taking public health decisions, motivated by the rapid development of models during the COVID-19 pandemic.
Dimensionality Reduction for Visualizing High-Dimensional Biological Data
Biosystems, 2022
A comprehensive study on dimensionality reduction methods applied to high-dimensional biological data, evaluating techniques for effective visualization and analysis.
Urban Feature Analysis from Aerial Remote Sensing Imagery Using Self-Supervised and Semi-Supervised Computer Vision
arXiv preprint arXiv:2208.08047, 2022
This study applies self-supervised and semi-supervised computer vision techniques to analyse urban features from aerial remote sensing imagery, enabling scalable urban environment characterisation.
An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space
Energies, 15(11), 4031, 2022
This paper proposes an agent-based model of vehicle activity to quantify energy consumption by simulating a fleet of electric vehicles within an urban street network, finding that driver behaviour plays a significant role in energy consumption.
Data-Driven Agent-Based Model Development to Support Human-Centric Transit-Oriented Design
Advances in Social Simulation (Springer Proceedings in Complexity), 2022
This paper presents a data-driven agent-based model to support human-centric transit-oriented development (TOD) design, integrating empirical data with simulation to inform urban planning decisions.
Towards Modelling Energy Demand of Vehicles in Cities: An Agent-Based Method
30th Annual Geographical Information Science Research UK (GISRUK) Conference, Liverpool, UK, 2022
This study employs an agent-based model of vehicle activity to quantify electric energy consumption through the simulation of a heterogeneous fleet of electric vehicles within an urban street network.
AgentsX.jl — An Extended Julia Framework for Exploring Urban and Social Systems
International Workshop on Agent-Based Modelling of Urban Systems (ABMUS), 2022
We present the key design ideas for a proposed extension and interface to the Agents.jl framework for ABM for urban and social systems simulation — AgentsX.jl — that provides greater flexibility of agent definitions for urban and social researchers.
Imagery, Privacy and Ethics: An Overview of Partially Occluded Facial Biometric Analysis in the Era of Face Masks
International Conference on Electrical, Computer and Energy Technologies (ICECET) 2021, 2022
The COVID-19 pandemic has drastically changed human lifestyles, with implications on many aspects of human life. With the proliferation of masks to combat the spread of the virus, many computer vision workflows have been inadvertently affected to varying degrees.
A Template for Transfer of NetLogo Models to High-Performance Computing Environments for Enhanced Real-World Decision-Support
Conference of the European Social Simulation Association (ESSA), 2022
This paper presents a template for transferring NetLogo agent-based models to high-performance computing environments, enabling enhanced real-world decision-support through faster and larger-scale simulations.
From The International Space Station To Tropical Rainforests And Polar Ice Caps: Microbial Communities Foretell The Effects Of Climate Change
2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021
This study examines how microbial communities across diverse environments — from the International Space Station to tropical rainforests and polar ice caps — can foretell the effects of climate change.
Real Time Parameter Changes in Agent-Based Models with Mesa
Conference of the European Social Simulation Association (ESSA), 2021
This paper presents capabilities for modifying parameters in real-time within Mesa-based agent-based model simulations, enhancing the interactive exploration of complex system dynamics.
Pattern Recognition for Complex Heterogeneous Time-Series Data: An Analysis of Microbial Community Dynamics
The Australian National University (PhD Thesis), 2021
PhD thesis focusing on pattern recognition techniques for complex heterogeneous time-series data, with applications to microbial community dynamics analysis.
Improving Speed of Models for Improved Real-World Decision-Making
Center for Open Science (Technical Report), 2021
This technical report examines approaches to improving the computational speed of models to enhance their utility in real-world decision-making contexts.
Bringing Worlds Together: When Public Health and Social Simulation Approaches Collide
Conference of the European Social Simulation Association (ESSA), 2021
This paper explores the intersection of public health and social simulation approaches, examining how these complementary disciplines can be integrated for improved understanding of complex health systems.
IMPARO: Inferring Microbial Interactions Through Parameter Optimisation
BMC Molecular and Cell Biology, 2020
We present IMPARO, a method for inferring microbial interactions through parameter optimisation that uses biologically meaningful models for both the abundance profile and the Microbial Interaction Network (MIN).
Exploring Computational Inference of Microbial Interactions and their Dynamics
2019 14th Conference on Industrial and Information Systems (ICIIS), 2019
This work explores current approaches in inferring microbial interactions and demonstrates that they are dynamic in nature, proposing a visualisation approach for observing the dynamic nature of microbial interaction networks.
Generation of Intermediate Viewpoints for Scalable Adaptation of Real World Environments for Virtual Reality
2017 International Conference on Industrial and Information Systems (ICIIS), 2017
This paper presents a method for generating intermediate viewpoints to enable scalable adaptation of real world environments for virtual reality applications.
Unconstrained Segue Navigation for an Immersive Virtual Reality Experience
Engineer: Journal of the Institution of Engineers, Sri Lanka, Vol. 50, No. 4, 2017
This paper addresses the challenge of providing greater interactivity in immersive virtual reality experiences based on real-world adaptations, tackling restrictions due to large storage needs and high computational requirements for generating dynamic intermediate views.
Real-Time Gesture Prediction Using Mobile Sensor Data for VR Applications
International Journal of Machine Learning and Computing, Vol. 6, No. 3, 2016
This paper presents a real-time gesture prediction system using mobile sensor data for virtual reality applications.
Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms
2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015
A comprehensive evaluation of image stitching algorithms, comparing their performance and robustness through quantitative and qualitative measures.