Design of Nanoporous BCN with Tunable Pores for CO2 Capture and Conversion. This project aims to design and develop advanced boron carbon nitride-based materials with high specific surface areas, tunable pores and functional groups, guided by theoretical calculations for the capture of CO2 at ambient conditions. By introducing single metal atoms in the above nanostructures, we also aim to design a novel catalytic system for the effective conversion of CO2 into fine chemicals. This project will o ....Design of Nanoporous BCN with Tunable Pores for CO2 Capture and Conversion. This project aims to design and develop advanced boron carbon nitride-based materials with high specific surface areas, tunable pores and functional groups, guided by theoretical calculations for the capture of CO2 at ambient conditions. By introducing single metal atoms in the above nanostructures, we also aim to design a novel catalytic system for the effective conversion of CO2 into fine chemicals. This project will offer new knowledge on the design of low-cost advanced materials with specific functionalities for the simultaneous capture and conversion of CO2. This project will make a significant impact on Australian industries and further offer job opportunities and economic benefits by offering new technologies for a clean environment.Read moreRead less
Tandem Photocatalytic Conversion of CO2 to High Value Hydrocarbon Products. Converting carbon dioxide (CO2) into hydrocarbon products is ideal for combating anthropogenic emissions whilst reducing our reliance on fossil fuels. Despite the significant advantages, CO2 valorisation is hindered by barriers such as high energy requirements and low-value products (methane and carbon monoxide). This project will establish a sustainable approach to CO2 valorisation using a unique tandem solar-driven hie ....Tandem Photocatalytic Conversion of CO2 to High Value Hydrocarbon Products. Converting carbon dioxide (CO2) into hydrocarbon products is ideal for combating anthropogenic emissions whilst reducing our reliance on fossil fuels. Despite the significant advantages, CO2 valorisation is hindered by barriers such as high energy requirements and low-value products (methane and carbon monoxide). This project will establish a sustainable approach to CO2 valorisation using a unique tandem solar-driven hierarchical catalyst array to offset energy requirements and directly yield high-value hydrocarbon products, such as ethane (C2H6) and ethanol (CH3CH2OH), from captured CO2.Read moreRead less
A mmWave Sensor Network for Hand Gesture Monitoring. This project aims to realise a world-first mmWave radar-based sensor network for device-free ubiquitous hand gesture monitoring. By harnessing recent radar technology breakthrough in mmWave, hand gesture may be monitored in a non-privacy intrusive manner. Pilot studies show different handrub gestures can be sensed and recognised by analysing the radio signal variations in the receiver. Given the many social, economic and health advantages of ....A mmWave Sensor Network for Hand Gesture Monitoring. This project aims to realise a world-first mmWave radar-based sensor network for device-free ubiquitous hand gesture monitoring. By harnessing recent radar technology breakthrough in mmWave, hand gesture may be monitored in a non-privacy intrusive manner. Pilot studies show different handrub gestures can be sensed and recognised by analysing the radio signal variations in the receiver. Given the many social, economic and health advantages of low-cost and non-privacy intrusive hand gesture sensing --- including enabling interactions and communications with smart environments (e.g., homes and offices) in a natural way --- the proposed research promises multiple benefits while positioning Australia as smart buildings innovator.Read moreRead less
Energy-Efficient Human-Sensing with Photovoltaic Internet-of-Things. This project aims to realise a world-first photovoltaic (PV)-based system for device free ubiquitous human monitoring. By harnessing next generation flexible organic PV cells, Internet-of-Things (IoT) devices may be powered using only indoor lighting. Pilot studies show different activities can, in turn, be sensed and recognised by analysing the variations in the energy harvesting patterns in the PV-powered IoT. Given the many ....Energy-Efficient Human-Sensing with Photovoltaic Internet-of-Things. This project aims to realise a world-first photovoltaic (PV)-based system for device free ubiquitous human monitoring. By harnessing next generation flexible organic PV cells, Internet-of-Things (IoT) devices may be powered using only indoor lighting. Pilot studies show different activities can, in turn, be sensed and recognised by analysing the variations in the energy harvesting patterns in the PV-powered IoT. Given the many social, economic and environmental advantages of cost and energy-efficient sensing – including falls detection for the elderly and power savings in smart building – the proposed research promises multiple benefits while positioning Australia as an IoT innovator.
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The right to be forgotten: GDPR modelling in cross-domain social networks . The project aims to develop a theoretical model and practical mechanisms to address the critical challenge – ‘right to be forgotten’ - raised from the General Data Protection Regulation (GDPR) with minimal compromising of the utility of the data. To achieve the aim, we will design a ‘right to be forgotten’ framework and associated erasure mechanisms that are effective even information is derived from multiple related soc ....The right to be forgotten: GDPR modelling in cross-domain social networks . The project aims to develop a theoretical model and practical mechanisms to address the critical challenge – ‘right to be forgotten’ - raised from the General Data Protection Regulation (GDPR) with minimal compromising of the utility of the data. To achieve the aim, we will design a ‘right to be forgotten’ framework and associated erasure mechanisms that are effective even information is derived from multiple related social networks. The framework will be created by identifying heterogeneous information, modelling individual behaviour patterns and designing erasure policies. The outcomes of the project can be used by the government to provide privacy guarantees to Australian cyberspace and by industry to protect their clients’ privacy.Read moreRead less
Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools ....Enhancing privacy preserving in dynamic cyberspace. This project aims to develop a novel infrastructure operational monitoring and management strategy to reduce the redundant maintenance actions and achieve a cost-effective approach for civil infrastructure asset management. The project will use multiple social networks as a platform for the project, with the potential for the results to be extended to any dynamic cyberspace. Project outcomes will include a set of new analysis theories and tools to facilitate government, companies, individuals, and organisations to enhance their information gathering and privacy-preserving capabilities. This is expected to enhance the credibility of the government and organisations and save the possible financial loss of companies and individuals.Read moreRead less
Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy ....Privacy preservation for personalised smart devices. The goal of this project is to build a privacy preservation framework for personalised smart devices with both immediate and long-term applications in a range of industries. The novel theoretical contributions include a privacy-preservation mechanism that guards against attacks by intelligent tools, a model and metrics that distinguish between object detection and object recognition, and allowing users to specify their desired level of privacy guarantee. Practically, these solutions have clear economic and public-safety benefits. The solutions will accelerate AI device development, advance smart technologies based on individual behaviours, and guarantee personal data privacy against both human attackers and adversarial algorithms. Read moreRead less
Designing high performance gas separation by interfacial diffusion membrane. This project aims to develop a new generation of interfacial diffusion membranes for industrial gas separations including carbon dioxide removal, nitrogen gas enrichment, methane purification and air separation. The project focuses on advancing separation technologies for the petrochemical, natural gas, and clean energy industries in the mining sector. The project is expected to reveal new separation properties and perf ....Designing high performance gas separation by interfacial diffusion membrane. This project aims to develop a new generation of interfacial diffusion membranes for industrial gas separations including carbon dioxide removal, nitrogen gas enrichment, methane purification and air separation. The project focuses on advancing separation technologies for the petrochemical, natural gas, and clean energy industries in the mining sector. The project is expected to reveal new separation properties and performance based on highly selective interfacial diffusion membranes. The project will also create new scientific knowledge about the role of functional surfaces and nanostructures that will not only facilitate new membrane designs but also offer new, more cost-effective devices for solar conversion, energy storage and harvesting, biomedical applications, sensing and information technology.Read moreRead less
Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical ....Field Data based Predictive Maintenance and Enhanced Track Design Procedure. Providing improved railroad design and maintenance solutions with accurate and timely assessment of track performance is vital to reduce the disruption of services, excessive maintenance costs and degradation over time. This project aims to develop a predictive maintenance model based on extensive wayside measurements to monitor and predict the nature of track instability. This will also be supplemented by mathematical modelling to corroborate large-scale laboratory observations with past and real-time field monitoring records. This project will deliver tangible strategies and tools to increase track longevity and assist decision-makers in planning and prioritising corrective maintenance to ensure improved safety and passenger comfort.Read moreRead less
Deep analytics of non-occurring but important behaviours. This project aims to build a systematic theory for the deep analytics of complex and important occurring and non-occurring behaviours. Behaviours that should occur but do not take place, called non-occurring behaviours (NOB), are widely evident but easily overlooked, such as missed important medical treatments. While often occurring behaviours are focused, such NOB may be associated with significant effects such as a threat to health. Thi ....Deep analytics of non-occurring but important behaviours. This project aims to build a systematic theory for the deep analytics of complex and important occurring and non-occurring behaviours. Behaviours that should occur but do not take place, called non-occurring behaviours (NOB), are widely evident but easily overlooked, such as missed important medical treatments. While often occurring behaviours are focused, such NOB may be associated with significant effects such as a threat to health. This project expects to fill the knowledge gaps in representing, analysing and evaluating NOB complexities and impact, with significant benefits for the evidence-based detection, prediction and risk management of covert NOB applications and their important effects.Read moreRead less