Ambient Electrochemical C-N Coupling via Co-electrolysis of N2 and CO2. To overcome the hurdles in N2 fixation (massive energy consumption and CO2 emission), investigators creatively hypothesize that the simultaneous electrocatalytic coupling of N2 and CO2 would enable the selective formation of N-products and thus realize their conversion into N--fertilizers and acetamides. Based on the CI's recent discoveries, this project will develop an innovative / sustainable system, which could promote th ....Ambient Electrochemical C-N Coupling via Co-electrolysis of N2 and CO2. To overcome the hurdles in N2 fixation (massive energy consumption and CO2 emission), investigators creatively hypothesize that the simultaneous electrocatalytic coupling of N2 and CO2 would enable the selective formation of N-products and thus realize their conversion into N--fertilizers and acetamides. Based on the CI's recent discoveries, this project will develop an innovative / sustainable system, which could promote the N2 fixation along with CO2 conversion process, a significant alternative approach to simplify the pathways of C-N bond formation. It will thereby contribute to mitigation of greenhouse emissions and create an ecofriendly protocol/technology for distributed production of C-N products under ambient conditions. Read moreRead less
Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.
Industrial Transformation Research Hubs - Grant ID: IH230100005
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality. This Hub aims to develop sustainable zero-emission power generation technologies to transform gaseous waste (mainly CO2) from our energy and manufacturing sectors into valuable products and create scalable pathways to market for driving industry transformation. This Hub expects to harvest renewable energy from the environment by using zero-emission power generators and then store it in green and safer batteries for convert ....ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality. This Hub aims to develop sustainable zero-emission power generation technologies to transform gaseous waste (mainly CO2) from our energy and manufacturing sectors into valuable products and create scalable pathways to market for driving industry transformation. This Hub expects to harvest renewable energy from the environment by using zero-emission power generators and then store it in green and safer batteries for converting gaseous waste from sectors that cannot easily avoid emission into useful chemicals, which in turn realize carbon neutrality and negativity. The outcomes of this Hub are likely to be transformative for industry, the economy, and society in new-type renewable energy resources through decreasing environmental pollutants. Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH200100035
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub in New Safe and Reliable Energy Storage and Conversion Technologies. This Research Hub addresses safety and reliability issues, and environmental impact of current energy storage and conversion technologies. The research will deliver a new generation of technologies for storage from small scale portable devices to large scale industrial applications, using recycled and natural materials, and eliminating the serious fire risk in current technologies. Outcomes include innovative ....ARC Research Hub in New Safe and Reliable Energy Storage and Conversion Technologies. This Research Hub addresses safety and reliability issues, and environmental impact of current energy storage and conversion technologies. The research will deliver a new generation of technologies for storage from small scale portable devices to large scale industrial applications, using recycled and natural materials, and eliminating the serious fire risk in current technologies. Outcomes include innovative integrated energy conversion and storage technologies and new energy materials and devices designed for different scale applications, leading to creation of start up companies and commercialisation opportunities for existing partners, benefiting both the Australian economy and potentially transforming the energy industry landscape.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100098
Funder
Australian Research Council
Funding Amount
$230,000.00
Summary
A comprehensive gas/vapour sorption facility for the fast advancement of decarbonised energy technologies. Solutions to clean energy production, storage and use are critical to Australia’s prosperity, yet there is a significant lack of targeted research facilities for the development of the highly needed materials and technologies for powering a sustainable Australia. This facility will bring research efforts closer to practical solutions.
Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research ....Privacy-preserving cloud data mining-as-a-service. This project aims to explore practical privacy-preserving solutions for cloud data mining-as-a-service based on the Intel Software Guard Extensions (SGX) technology. The research addresses privacy concerns of users when outsourcing data mining needs to the cloud. These concerns have increased as more businesses evaluate data mining-as-an outsourced service due to lack of expertise or computation resources. The expected outcomes from the research will include new data privacy models, new privacy-preserving data mining algorithms, and a prototype of cloud data mining software. These will help businesses cut costs for data mining and privacy protection, and provide significant benefits toward helping Australia achieve its national cyber security strategy and potentially provide economic impact from commercialisation of new software technology for the industry partner.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE240100084
Funder
Australian Research Council
Funding Amount
$950,000.00
Summary
Australia’s fuel cells and electrolysers prototyping and testing facility. This project aims to address a major gap in Australian infrastructure for researching and developing technologies for Power to X, including hydrogen production and use. The aspiration is to establish an integrated fuel cell and electrolyser prototyping and testing facility to support Australia’s excellent fundamental research in advanced energy materials, electrocatalysis, and engineering design. The aim is to equip the r ....Australia’s fuel cells and electrolysers prototyping and testing facility. This project aims to address a major gap in Australian infrastructure for researching and developing technologies for Power to X, including hydrogen production and use. The aspiration is to establish an integrated fuel cell and electrolyser prototyping and testing facility to support Australia’s excellent fundamental research in advanced energy materials, electrocatalysis, and engineering design. The aim is to equip the research community with the capability to fabricate electrolyser and fuel cell prototypes at relevant scales to accelerate translational research in these areas. Doing so will also enable the technical and expertise platform needed to support industry's transition toward Australia’s 2050 net zero objective.Read moreRead less
DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting th ....DeepHoney: Automatic Honey Data Generation for Active Cyber Defence . This project aims to enhance the security of networks and information systems by empowering them with intelligent deception techniques to achieve proactive attack detection and defence. In recent times, the fictitious environment – honeypot designed by human experience becomes popular to attract attackers and capture their interactions. However, rules-based construction of honeypots fails in preserving the privacy, boosting the attractiveness and evolving the system. The project expects to advance deep learning and yield novel DeepHoney technologies with associated publications and open-source software. This should benefit science, society, and the economy by building the next generation of active cyber defence systems. Read moreRead less
Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of grea ....Methodologies for face recognition under varying imaging conditions. Face recognition systems are heavily dependent on the nature of the input to the system. Variability in appearance due to changes in illumination, expression, pose, etc. can reduce the recognition results of the existing systems. The aim of this project is to develop new techniques to improve the recognition accuracy in natural environment where unwanted image variations exist. The development of such techniques will be of great importance to Australia's security and safety. The outcome of this research will provide the first steps towards formulating the next generation recognition systems that will improve the suitability of the face recognition for use in security, surveillance, intelligent robotics, banking, and smart environments.Read moreRead less