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publications

Quantitative and Qualitative Evaluation of Performance and Robustness of Image Stitching Algorithms

Published in 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. Read more

Real-Time Gesture Prediction Using Mobile Sensor Data for VR Applications

Published in 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. Read more

Unconstrained Segue Navigation for an Immersive Virtual Reality Experience

Published in 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. Read more

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Generation of Intermediate Viewpoints for Scalable Adaptation of Real World Environments for Virtual Reality

Published in 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. Read more

Exploring Computational Inference of Microbial Interactions and their Dynamics

Published in 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. Read more

IMPARO: Inferring Microbial Interactions Through Parameter Optimisation

Published in 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). Read more

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Bringing Worlds Together: When Public Health and Social Simulation Approaches Collide

Published in 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. Read more

Improving Speed of Models for Improved Real-World Decision-Making

Published in 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. Read more

Pattern Recognition for Complex Heterogeneous Time-Series Data: An Analysis of Microbial Community Dynamics

Published in 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. Read more

Real Time Parameter Changes in Agent-Based Models with Mesa

Published in 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. Read more

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From The International Space Station To Tropical Rainforests And Polar Ice Caps: Microbial Communities Foretell The Effects Of Climate Change

Published in 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. Read more

A Template for Transfer of NetLogo Models to High-Performance Computing Environments for Enhanced Real-World Decision-Support

Published in 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. Read more

Imagery, Privacy and Ethics: An Overview of Partially Occluded Facial Biometric Analysis in the Era of Face Masks

Published in 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. Read more

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AgentsX.jl — An Extended Julia Framework for Exploring Urban and Social Systems

Published in 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. Read more

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Towards Modelling Energy Demand of Vehicles in Cities: An Agent-Based Method

Published in 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. Read more

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Data-Driven Agent-Based Model Development to Support Human-Centric Transit-Oriented Design

Published in 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. Read more

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An Agent-Based Model of Heterogeneous Driver Behaviour and Its Impact on Energy Consumption and Costs in Urban Space

Published in 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. Read more

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Urban Feature Analysis from Aerial Remote Sensing Imagery Using Self-Supervised and Semi-Supervised Computer Vision

Published in 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. Read more

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Dimensionality Reduction for Visualizing High-Dimensional Biological Data

Published in Biosystems, 2022

A comprehensive study on dimensionality reduction methods applied to high-dimensional biological data, evaluating techniques for effective visualization and analysis. Read more

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A Framework for Considering the Utility of Models When Facing Tough Decisions in Public Health: A Guideline for Policy-Makers

Published in 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. Read more

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DALLE-URBAN: Capturing the Urban Design Expertise of Large Text to Image Transformers

Published in 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. Read more

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Anticipated Transport Choices in a World Featuring Autonomous Transport Options

Published in 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. Read more

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Semantic Segmentation using Vision Transformers: A Survey

Published in 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. Read more

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Australians’ Perceptions of the Potential Effects of Increased Access to Alcohol via Autonomous Delivery Services: A Multi-Method Study

Published in 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. Read more

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Insights into Artificial Intelligence Bias: Implications for Agriculture

Published in 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. Read more

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How Will Physical Activity Change in an Autonomous Future?

Published in 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. Read more

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The Potential of Autonomous Delivery Services to Increase Fast-Food Consumption

Published in 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. Read more

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Towards an Agent-Based Platform for Crisis Management

Published in 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. Read more

Public Support for Proposed Government Policies to Optimise the Social Benefits of Autonomous Vehicles

Published in 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. Read more

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A Comparison of Content from Across Contemporary Australian Population Health Surveys

Published in 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. Read more

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CoPR: Collective Pattern Recognition — A Framework for Microbial Community Activity Analysis

Published in bioRxiv (Preprint), 2024

We present CoPR (Collective Pattern Recognition), a framework for analysing microbial community activity by recognising collective patterns in complex microbiome data. Read more

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Consumer Support for Restrictive Policies on Unhealthy Food and Beverage Delivery via Drones

Published in 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. Read more

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Potential Effects of Autonomous Vehicles on Transport Mode Choice and Sedentary Behaviour in an Australian Context — A Modelling Study

Published in 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. Read more

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Indigenous Peoples and Artificial Intelligence: A Systematic Review and Future Directions

Published in 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. Read more

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