Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expect ....Reducing direct greenhouse gas emissions from urban wastewater systems. This project aims to develop a systematic framework for water utilities to monitor and reduce direct greenhouse gas (GHG) emissions from wastewater systems. A standardised monitoring protocol will be developed to conduct an unprecedented nationwide sampling campaign. The obtained data, with microbial characterisation and mechanism analysis, will be used to develop novel models for accurate prediction of GHG emissions. Expected outcomes include protocol to accurately monitor emissions, models to predict emission under various conditions, and mitigation guideline for typical plant configurations. The anticipated benefit is a significant reduction in GHG emissions from urban water industry and support it to meet net-zero-emission goal by 2050.Read moreRead less
Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning progra ....Deep Learning Augmented Intelligent Grinding Mill Simulation and Design. Comminution is a key operation in mineral processing that utilises grinding mills to reduce the size of ore for further mineral enrichment processing. The aim of this project is to provide a step change improvement in the operational efficiency and service life of grinding mills through the development of advanced numerical models to simulate the grinding mill process. The outcome will be a hierarchical deep learning program to select optimal model parameters from which computational algorithms will optimise grinding mill geometries. This research project will deliver substantial improvements to equipment used to process our most valuable exports and result in immediate industry impact.Read moreRead less
A Future Beyond the Wall: Improving Post-release Employment Outcomes for People Leaving Prison. Engaging in meaningful work has been shown to reduce re-offending by ex-prisoners, but few prison releasees internationally or in Australia gain employment, and successful pathways to employment for this group are poorly researched and understood. This study aims to gather and analyse, for the first time, comparative data from Australian jurisdictions and employment agencies on the relationship betwee ....A Future Beyond the Wall: Improving Post-release Employment Outcomes for People Leaving Prison. Engaging in meaningful work has been shown to reduce re-offending by ex-prisoners, but few prison releasees internationally or in Australia gain employment, and successful pathways to employment for this group are poorly researched and understood. This study aims to gather and analyse, for the first time, comparative data from Australian jurisdictions and employment agencies on the relationship between in-prison and post-prison vocational education and employment programs, employment and recidivism. It aims to identify effective elements, strategies, program and policy directions in offender training and employment. This is a unique partnership amongst key academics in the field, peak national bodies, correctional and employment organisations.Read moreRead less