Structural safety guidelines for accidental hydrogen explosion hazards . This project aims to develop structural safety guidelines to mitigate hydrogen explosion hazards which can be identified as a major safety concern due to the higher demand worldwide for sustainable energy sources with no carbon emission. The world’s growing demand for hydrogen and Australia’s National Hydrogen Strategy to develop the industry will make Australia a core player in hydrogen production creating a massive econom ....Structural safety guidelines for accidental hydrogen explosion hazards . This project aims to develop structural safety guidelines to mitigate hydrogen explosion hazards which can be identified as a major safety concern due to the higher demand worldwide for sustainable energy sources with no carbon emission. The world’s growing demand for hydrogen and Australia’s National Hydrogen Strategy to develop the industry will make Australia a core player in hydrogen production creating a massive economic opportunity. However, the high flammability and low ignition energy of hydrogen makes it vulnerable to accidental explosions. Hence, this project will address the lack of safety protocols in Australian Standards related to the handling of hydrogen by producing essential design recommendations.Read moreRead less
Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human expl ....Robust Preference Inference from Spatial-Temporal Interaction Networks. This project aims to develop innovative techniques for effectively and efficiently managing user preference profiles from less labelled, sparse and noisy interaction data. A unified novel learning framework along with a set of data analysis techniques are expected to be developed from this project, which will provide a non-intrusive way of conducting predictive analysis on user preference profiling via discovering human explicit and implicit interest domains. The expected results of this application will not only maintain Australia's leadership in this frontier research area, but also support many important applications that safeguard Australian people and economy such as cyber security, healthcare, and e-Commerce.Read moreRead less
Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technolo ....Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technologies such as fuel cells, metal air batteries and water splitting.Read moreRead less
Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to im ....Tracking flood waters over Australia using space gravity data. This project aims to assess the utility of near-real-time data from the currently operating space gravity satellite mission to quantify and track flood waters in Australia. Through analysis of the satellite data and fusion of observed signals with rainfall, river flows and conventional hydrological modelling, it expects to create new knowledge of soil moisture and movement of flood waters. Expected outcomes include a capability to improve hydrological models by including the information of water signals obtained from the near-real-time observations. This should provide significant benefits such as more accurate land saturation maps and better predictions of runoff and flood risk.Read moreRead less