Research
Projects
7 projects — 3 active · 1 upcoming · 3 completed.
Current Living Digital Twin of the City
Building a continuously updated digital twin that fuses sensor, mobility, and environmental data to let planners test interventions before they touch the street.
Current Resilient Transit Networks
Modelling how public-transport networks absorb and recover from disruption, and designing routing strategies that keep cities moving when a line fails.
Current AI-Driven Urban Mobility Optimisation
Developing and deploying machine learning systems for real-time adaptive signal control and network-wide flow optimisation in mid-sized Australian cities.
Upcoming Equitable Access to Mobility
A proposed programme measuring how transport investment reaches — or bypasses — lower-income communities, and what data practices would make equity auditable.
Completed Pedestrian Safety from Computer Vision
Privacy-preserving computer vision for near-miss detection at crossings, surfacing dangerous intersections before they produce a casualty record.
Completed Spatiotemporal Traffic Flow Modelling
Foundational work developing graph neural network approaches to citywide traffic prediction, with particular focus on robustness to sensor failure and data sparsity.
Completed Low-Cost Edge Sensing Platform
An open-hardware roadside sensing unit and firmware stack that brings reliable traffic telemetry to cities that cannot afford commercial instrumentation.