Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility ....Intelligent pattern recognition of water end uses enabling recommendations. This project aims to develop a hybrid machine learning method for autonomously disaggregating high- and low-resolution water flow data received from smart meters into discrete end-use events, and a customised recommender system for efficient resource demand management. Project novelty and significance relates to this coupling and autonomous disaggregation of datasets from advanced sensors, enabling more efficient utility services delivery and lower customer utility bills. Project benefits include enabling utilities to better manage and plan resources in the information age, while empowering customers with real-time water end-use data and behaviour changing consumption recommendations.Read moreRead less
Regulation of lung immune-epithelial networks sensing environmental change. This study aims to uncover how lung epithelial cells engage with immune cells and determine their cellular and molecular wiring to ensure homeostatic maintenance and essential repair processes of lung tissues. Maintenance of lung epithelial-immune networks is essential to maintain normal lung tissue structure and function, and to induce immune responses to protect against microbial challenges or inhaled potentially toxic ....Regulation of lung immune-epithelial networks sensing environmental change. This study aims to uncover how lung epithelial cells engage with immune cells and determine their cellular and molecular wiring to ensure homeostatic maintenance and essential repair processes of lung tissues. Maintenance of lung epithelial-immune networks is essential to maintain normal lung tissue structure and function, and to induce immune responses to protect against microbial challenges or inhaled potentially toxic substances. Understanding this molecular program of epithelial-immune cell-mediated sensing/repair will be essential to understand how tissue-repair processes can be driven in the lung, an organ critical for respiration and thus life.Read moreRead less
Automated benthic understanding with multimodal observations. This project aims to deliver cost-effective techniques to explore and monitor marine environments. The project will develop novel methods for classification of large extent, multimodality seafloor surveys consisting of high-resolution visual 3D gigamosaics made of tens of thousands of images coregistered with broad-scale, lower resolution remote sensing data. This knowledge is essential for designing cost-effective, scalable systems t ....Automated benthic understanding with multimodal observations. This project aims to deliver cost-effective techniques to explore and monitor marine environments. The project will develop novel methods for classification of large extent, multimodality seafloor surveys consisting of high-resolution visual 3D gigamosaics made of tens of thousands of images coregistered with broad-scale, lower resolution remote sensing data. This knowledge is essential for designing cost-effective, scalable systems to explore, map and monitor Australia's marine environments. At a broader level, the approach and the techniques developed in this project have the potential to have applications in other areas such as terrestrial and intertidal ecology, extending positive impacts beyond benthic environments.Read moreRead less