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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
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
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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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
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
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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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
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
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
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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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
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
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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
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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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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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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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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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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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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Published:
Presented our work on evaluating the performance and robustness of image stitching algorithms through quantitative and qualitative measures. Read more
Published:
Presented our method for generating intermediate viewpoints to enable scalable adaptation of real world environments for virtual reality applications. Read more
Published:
Presented on data-driven approaches for gaining insights into complex biological systems, discussing computational methods for analysing and modelling the behaviour of biological communities using large-scale data. Read more
Published:
Presented our work exploring current approaches in inferring microbial interactions and demonstrating their dynamic nature, with a proposed visualisation approach for observing microbial interaction network dynamics. Read more
Published:
Presented IMPARO, a computational method for inferring microbial interactions through parameter optimisation. The talk covered the approach to modelling microbial community dynamics by optimising interaction parameters from time-series abundance data. Read more
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Presented research on exploring the dynamics of microbial interactions using computational approaches, discussing methods for understanding how microbial communities change and interact over time in diverse environments. Read more
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Presented DynMIN, a method for inferring temporally dynamic microbial interaction networks from time-series metagenomic data. The talk covered the computational approach to capturing how microbial community interactions evolve over time, providing insights into complex biological system dynamics. Read more
Published:
Presented our study examining 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
Published:
Presented our work on enabling real-time parameter modification within Mesa-based agent-based model simulations, enhancing interactive exploration of complex system dynamics. Read more
Published:
Presented our exploration of 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
Published:
Presented the first review of masked facial recognition tasks and techniques robust to masked facial images, providing a central reference for automated public health and COVID-safe identification protocols while exploring the ethical aspects of these techniques. Read more
Published:
Presented our agent-based model of vehicle activity for quantifying electric energy consumption through the simulation of a heterogeneous fleet of electric vehicles within an urban street network. Read more
Published:
Presented the key design ideas for AgentsX.jl, a proposed extension and interface to the Agents.jl framework for agent-based modelling of urban and social systems simulation, formalising ABM design through a “Code as the Model” approach. Read more
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Presented on fairness in AI applied to healthcare contexts, discussing how algorithmic biases can disproportionately affect health outcomes and exploring approaches to ensure equitable AI systems in medical and public health applications. Read more
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Presented a case study demonstrating the AgentsX.jl platform for simplified agent-based model development, using the classic predator-prey model to showcase the framework’s capabilities for building and running social simulations in Julia. Read more
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Presented our investigation into 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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Delivered a visiting lecture on fairness in AI at the University of Peradeniya, discussing how biases arise in AI systems, their societal implications, and approaches to building fairer machine learning models. Read more
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Delivered a guest lecture on fairness and ethics in generative AI at the University of Melbourne, covering the emerging ethical challenges posed by large language models and generative systems, including issues of bias, representation, and responsible deployment. Read more
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Invited workshop on agent-based modelling approaches for understanding complex social systems, covering methodology, tools, and applications in social science research. Read more
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Presented research on integrating Long-Short Term Memory (LSTM) neural network modules with an agent-based model grounded in the Theory of Planned Behaviour. The case study examined food delivery systems and their broader implications for urban planning and policy. Read more
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Presented research on synthesising an agent-based model population representative of an Indigenous population, exploring how modelling science can respectfully integrate Indigenous knowledge and lived experiences into computational social simulation. Read more
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Presented on fairness and ethics in AI, discussing the ethical responsibility of computer scientists when developing and deploying real-world AI applications. This talk was part of the AI Horizons series, a collaboration between the University of Jaffna, the University of Melbourne, and Google Research. Read more
Undergraduate Course, Department of Computer Science and Engineering, University of Moratuwa, 2015
Tutor for CS2952 Communication Skills at the University of Moratuwa (2015–2016), supporting students in developing technical writing, presentation, and professional communication skills. Read more
Undergraduate Course, Department of Computer Science and Engineering, University of Moratuwa, 2015
Tutor for CS3032 Computer Networks at the University of Moratuwa (2015–2016), covering network protocols, architectures, and communication systems. Read more
Undergraduate Course, College of Engineering and Computer Science, Australian National University, 2017
Tutor for COMP1600 Foundations of Computing at the Australian National University (2017 Semester 2), helping students build core skills in programming, algorithms, and computational thinking. Read more
Postgraduate Course, College of Engineering and Computer Science, Australian National University, 2018
Tutor for ENGN8535 Engineering Data Analytics at the Australian National University (2018 Semester 1), supporting students in learning data analysis techniques applied to engineering problems. Read more
Undergraduate Course, SLTC Research University, 2022
Visiting Lecturer and Subject Convener for CCS303 Artificial Intelligence at SLTC Research University (2022). Designed and delivered lectures, designed tutorials, managed a team of tutors, and managed the examinations for the subject. Read more
Postgraduate Course, Faculty of Engineering and Information Technology, University of Melbourne, 2024
Tutor and Lecturer for MCEN90048 Artificial Intelligence for Mechatronics at the University of Melbourne (2021 Semester 1 to 2024 Semester 1). Served as Head Tutor in 2021 S1 and 2022 S1, responsible for coordinating other tutors, delivery of tutorials and labs, planning and marking assignments, setting up quizzes, online learner engagement, and setting exam questions and marking. Took 25% of the lectures for MCEN90048 in 2024. Read more
Undergraduate Course, Faculty of Engineering and Information Technology, University of Melbourne, 2024
Tutor, Lecturer, and Subject Coordinator for ENGR30004 Numerical Algorithms in Engineering at the University of Melbourne. Served as Head Tutor from 2021 Semester 2, managing the teaching budget of $50,000+ AUD and coordinating tutoring teams. Took 25% of the lectures in Semester 2, 2023. Appointed acting Subject Coordinator for Semester 2, 2024, with full responsibility for subject coordination, lecture delivery, tutorial and assignment design, and examinations. Read more