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.
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
Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false infor ....Combating Fake News on Social Media: From Early Detection to Intervention. The project aims to detect fake news early to minimise the negative impact of false information. This project expects to devise novel solutions to address technical challenges for detection of fake news with scarce signals. Expected outcomes of this project include a suite of data mining and machine learning models for identification of fake news from the social media stream, prediction of user propagation of false information as well as recommendation of truthful news to counteract adversarial fake news. This project should generate technologies that enhance the integrity of the online echo system and benefit media providers and online population within Australia and across the world. Read moreRead less
Two-dimensional nanomaterials for wearable zinc ion battery . The project aims to develop a new wearable battery system, based on advanced two-dimensional (2D) nanomaterials with robust energy storage performance and lifespan, for industrial application across the rapidly emerging industries of health monitoring, movement tracking, and smart clothing. The project addresses the critical challenges of control functionalization of advanced 2D nanomaterials for developing wearable energy storage. Th ....Two-dimensional nanomaterials for wearable zinc ion battery . The project aims to develop a new wearable battery system, based on advanced two-dimensional (2D) nanomaterials with robust energy storage performance and lifespan, for industrial application across the rapidly emerging industries of health monitoring, movement tracking, and smart clothing. The project addresses the critical challenges of control functionalization of advanced 2D nanomaterials for developing wearable energy storage. The research outcomes are expected to result in a scalable approach, a variety of advanced 2D nanomaterials, and wearable new battery system, which will bring significant economic and environmental, social, and cultural benefits to Australia and the world.Read moreRead less
Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predi ....Low-cost Sensing Methods and Hybrid Learning Models. This project aims to revolutionise the theory and practice of sensing and monitoring by developing novel Artificial Intelligence and Internet of Things technologies. This project expects to generate new knowledge in the area of Artificial Intelligence of Things by combining sensing, machine learning, and big data analytics. Expected outcomes of this project include novel low-cost sensing methods and new hybrid machine learning models for predictive sensory data analytics. This should provide significant benefits, such as substantially reduced operating and service costs and improved accuracy for real-time monitoring in the fields where cheap-to-implement and easy-to-service monitoring systems over large geographical areas are imperative.Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
The Contribution of Tropical Cyclones to the Earth Energy Budget. This project aims to quantify the tropical cyclone contribution to the earth energy budget to understand whether tropical cyclones feed back to the climate system. While existing literature focuses exclusively on the effects of climate change on tropical cyclone variability, this project switches this viewpoint around. One possible outcome is a better understanding of long-term tropical cyclone variability. This is particularly im ....The Contribution of Tropical Cyclones to the Earth Energy Budget. This project aims to quantify the tropical cyclone contribution to the earth energy budget to understand whether tropical cyclones feed back to the climate system. While existing literature focuses exclusively on the effects of climate change on tropical cyclone variability, this project switches this viewpoint around. One possible outcome is a better understanding of long-term tropical cyclone variability. This is particularly important for tropical cyclone vulnerable regions including the Australian east coast and the oil and gas industry off the Northwest Shelf. Furthermore, the anticipated knowledge gained by this project will inform international understanding on the impacts of tropical cyclones to the overall climate system.Read moreRead less
Streaming label learning for leaching knowledge from labels on the fly. This machine intelligence project aims to explore the potential to use and incorporate past knowledge and training to better understand, interpret and develop new concepts. The expected outcomes will provide major technological breakthroughs to benefit science, society, and the economy nationally by laying theoretical foundations for learning labels in a streaming fashion, and building the next generation of intelligent syst ....Streaming label learning for leaching knowledge from labels on the fly. This machine intelligence project aims to explore the potential to use and incorporate past knowledge and training to better understand, interpret and develop new concepts. The expected outcomes will provide major technological breakthroughs to benefit science, society, and the economy nationally by laying theoretical foundations for learning labels in a streaming fashion, and building the next generation of intelligent systems to accommodate environment change in applications about cybercrime, terrorism, and emergence.Read moreRead less