Automatic Diagnosis of Steatotic Liver Disease and Agentic Zero-Shot Segmentation
Summer Research Project Grant Report Cross-disciplinary Domains: Artificial Intelligence, Cardiology, Medical Imaging Research Project Objective BackgroundCardiovascular diseases (CVDs) remain the leading cause of death worldwide [1]. Recent studies suggest a strong link between liver and heart health [2], motivating automated methods for assessing liver health. The liver is the body’s largest internal organ, performing essential […]
Integrating Machine Learning and Satellite Data for Vegetation Phenology Mapping in Western Australia
Summer Research Grant Final Report Cross-disciplinary Domains: Environmental Science, Ecology and Botany, EnvironmentalEngineering, Software Engineering Research Project ObjectiveThe objective of this project was to develop and evaluate a new approach for monitoringvegetation phenology across Australia using remote sensing data and machine learningmethods. Phenology refers to the seasonal timing of biological events such as vegetationgrowth, peak […]
AI-Powered Load Forecasting for Power Systems
Summer Research Project Grant Report Cross-disciplinary Domains: Artificial Intelligence, Deep Learning, Power Systems, Electrical Engineering Research Project Objective Accurate electricity demand forecasting is vital for ensuring reliable, cost-efficient, and sustainable power system operation. Yet the growing complexity of modern grids which driven by renewable energy integration, electric vehicle adoption, and shifting consumption patterns, has outpaced […]
Weed Counter: Automating Soil Seedbank Assessments with Instance Segmentation
Summer Research Project Grant Report Cross-disciplinary Domains: Agricultural Science and Computer Science Research Project Objective This project fine-tunes SAM2.1, a state-of-the-art instance segmentation model, to automatically identify and quantify individual weed instances across morphologically diverse monocotyledon and dicotyledon species prevalent in Australian cropping systems. Using synthetic multi-species canvases generated from two complementary datasets, the model […]
Integrating Structural MRI and Cognitive Assessments for Alzheimer’s Disease Progression Prediction
Summer Research Project Grant Report Cross-disciplinary Domains: Artificial Intelligence, Medical Physics Research Project Objective The objective of this project is to systematically prepare and standardize neuroimaging datasets to support reliable artificial intelligence–based analysis of Alzheimer’s disease. Structural MRI and PET data were curated and processed from raw clinical imaging files, addressing challenges such as inconsistent […]
Machine Learning applications for Essential Ocean Variables (EOVs) in the Pacific Ocean
Summer Research Project Grant Report Cross-disciplinary Domains: Physical Oceanography, Data Science Research Project Objective This study aims to develop a Python-based machine learning framework that leverages existing publicly available global ocean datasets to enhance hydrographic observations in the central Pacific Ocean. Specifically, the primary objective is to reconstruct dissolved oxygen alongside newly collected profiles from […]
Large Language Model Clinical Study Platform
Summer Research Project Grant Report Cross-disciplinary Domains: AI, Medical Research Project Objective The Paediatric Anaesthesia Research team at Perth Children’s Hospital requires a platform that allows efficient and effective organisation of clinical research studies. The team has the ability to host a large language model to run this platform. A requirement is to be able […]
AI-Enhanced Data Fusion and Visualisation for Localised Weather Forecasting
Summer Research Project Grant Report NOTE: Completed as a joint UWA DI/ICRAR summer project, this report meets dual requirements and is therefore longer than others. Cross-disciplinary Domains: Data science, Environmental sciences and Software engineering Research Project Objective The primary objective of this project is to create a multi-source visualisation platform that brings together different data […]