Research
2024 Collaborations
- Science
Mapping air temperatures in Western Melbourne through ML - FEIT
Immersive dynamic visualisations of ancient landscapes - Arts
Beyond Certification - Arts
Determining sources for Nicholas Trevet's commentary on Livy - Science
AI denoising of phase-contrast CT for breast cancer imaging - ABP
Map of the Month pilot program - FBE
From numbers to news to narratives - Law
Harnessing conversational AI for legal knowledge - MDHS
The Open Science Atlas - MDHS
Digital phenotyping data from wearables and smartphones - Arts
Using deep neural network models to decipher Linear A - MDHS
Melbourne's buried teeth - Science
Dynamic wildfire risk modelling and visualisation - Education
EDGE Study - MDHS
Geometric DL for bacterial taxonomic classification
2023 Collaborations
- Science
Assisting AU's transition to a more environmentally sustainable diet - Education
Stories of Hope - Arts
Computational methods for artwork authentication using hyperspectral imaging - Science
Increasing comparative genomic resources for amphibians - FEIT
Trans-diagnostic assessment of neurodevelopment with wearable eye-tracking tech - MDHS
Analysing decisions with the LATER model: an open-source tool - Arts
Infrastructure and methods for forensic audio transcription experiments - Science
Forecasting risks to savanna ecosystems in northern AU under global change - MDHS
Developing a convolutional neural network for the analysis of gonadal tissue - MDHS
Social network mapping social networks in disaster-affected communities - FBE
Socio-economic change and the realisation of climate risk - MDHS
Facilitating cognitive research in clinical environments
2022 Collaborations
- Science
Unlocking herbarium data to accelerate biodiversity and evolutionary research - Science
Screening genome sequencing data for Eukaryome of global kelp species - MDHS
Infectious disease genomics: from database to phylodynamics - Science
FATCAT: pipeline to assess functional changes in coral-associated bacterial communities - MDHS
ML and patterns of primary care use in cancer diagnosis & outcomes - FEIT
Artificial intelligence-based image enhancement and segmentation - Science
Refinement of predicted protein structures and accuracy evaluation - Arts
Tracking changes in conservative political rhetoric over time - FEIT
Deep learning to explore predictive power of eye images for dementia outcomes - Education
Designing and Implementing an Interactive Data Platform for the MECCE Project - ABP
Fit for Students - Arts
Caring for data now and for the future - MDHS
Improved outcomes for people with complex mental health issues: SANE AU
2021 Collaborations
- ABP
Longitudinal Mapping of Residential Building Projects in Victoria - ABP
City of Melbourne Sustainable Development Goals - FFAM
Linking song collections and communities - Law
A Fair Day's Work: Detecting Wage Theft with Data - Science
Constraining the thermal evolution of Earth's crust using ML - Science
Forecasting Bushfire Risk - Science
ML for delineation of bankfull stream channel dimensions from LiDAR data - ABP
Visualising networks and mobilities in the architecture profession - Arts
Community-driven data initiatives to prevent HIV in Indonesia - FVAS (Science)
Tackling the canine microbiome in chronic enteropathy - MDHS
ML and Patterns of Primary Care Use in Cancer Diagnosis and Outcomes - Arts
Social Media Disinformation and the Papua Conflict - Arts
Associate: Encoding manuscripts as primary research objects - Law
Digitally benchmarking public attitudes to secondary use of health data - Science
Accelerating large dimensional stochastic simulation models - FFAM/MSE
The Heart