Embracing Changes for Responsive Video-sharing Services. Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes ....Embracing Changes for Responsive Video-sharing Services. Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes, optimise the value of changes, and extract insights from changes for diverse downstream applications of video-sharing platforms. The expected outcomes will create new-generation representation learning techniques, and provide practical tools to amplify the socioeconomic values of video-sharing platforms.Read moreRead less
Ecologically responsible mining to fuel a green energy transition. An energy transition is key to tackling climate change. However, renewable energy is mineral intensive and boosting its supply may create new mining threats to biodiversity. This project aims to facilitate strategic development of ecologically responsible mining. It expects to reveal where new mines will be needed to meet future energy demand, and create innovative tools to predict and mitigate threats to plants and animals. Expe ....Ecologically responsible mining to fuel a green energy transition. An energy transition is key to tackling climate change. However, renewable energy is mineral intensive and boosting its supply may create new mining threats to biodiversity. This project aims to facilitate strategic development of ecologically responsible mining. It expects to reveal where new mines will be needed to meet future energy demand, and create innovative tools to predict and mitigate threats to plants and animals. Expected outcomes include an improved ability to inform sustainable climate and energy policies, leading to strategic investment decisions, cleaner mineral supply chains and conservation outcomes that capture valuable environmental and social benefits and create a competitive advantage for Australia’s mining sector.Read moreRead less
EEG Based Global Network Models and Platform for Brain States Assessment. This project aims to generate new knowledge and tools in global brain network modelling and deep learning technology. It addresses the significant issues in higher brain function state assessment using brain signal EEG. The project applies global brain networks to model brain dynamical activities as a whole, and assesses higher brain functions such as consciousness, fatigue, sleep, stress and depression, and their step by ....EEG Based Global Network Models and Platform for Brain States Assessment. This project aims to generate new knowledge and tools in global brain network modelling and deep learning technology. It addresses the significant issues in higher brain function state assessment using brain signal EEG. The project applies global brain networks to model brain dynamical activities as a whole, and assesses higher brain functions such as consciousness, fatigue, sleep, stress and depression, and their step by step evolution in real-time using innovative deep learning approaches. The expected outcomes are optimised brain network models and a platform technology. The intended results can be applied to greatly improve the sleep quality and productivity of general community, and the safety of workplace and transportation.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
New Silent Anchors for Floating Offshore Wind Turbines in Calcareous Sand . Reliable wind energy sites are in deeper waters and require offshore floating structures to harness the wind energy. Such floating structures require a reliable anchoring system that is secure and environmentally friendly. Calcareous sands, rich in carbonate content, pose unique challenges with their behaviour difficult to predict. In this project, a novel silent anchoring system is investigated that can be installed wit ....New Silent Anchors for Floating Offshore Wind Turbines in Calcareous Sand . Reliable wind energy sites are in deeper waters and require offshore floating structures to harness the wind energy. Such floating structures require a reliable anchoring system that is secure and environmentally friendly. Calcareous sands, rich in carbonate content, pose unique challenges with their behaviour difficult to predict. In this project, a novel silent anchoring system is investigated that can be installed with minimum noise and vibration compared to more traditional counterparts. Through the state of the art development in numerical modelling and centrifuge modelling, this project will advance Australian Science and Practice in designing floating wind turbines in carbonate rich soils offshore and help energy transition.Read moreRead less
Multifunctional Structural Panels for Next-generation Infrastructure. This project aims to develop a multifunctional prefabricated structural panel for current and future infrastructure applications for both land and offshore environments. Prefabrication enables enhanced product control as well as the ability to rapidly construct whole structures or their components. The panels utilise an inner lightweight foam and fibre-reinforced polymer (FRP) composite core with strong outer panels made from ....Multifunctional Structural Panels for Next-generation Infrastructure. This project aims to develop a multifunctional prefabricated structural panel for current and future infrastructure applications for both land and offshore environments. Prefabrication enables enhanced product control as well as the ability to rapidly construct whole structures or their components. The panels utilise an inner lightweight foam and fibre-reinforced polymer (FRP) composite core with strong outer panels made from FRP sheets and high-strength concrete. The expected outcomes include experimental and numerical validation of the system, that will give designers and asset owners the confidence to adopt this new panel. The panel system presents an upward step change in construction technology and built infrastructure performance.Read moreRead less
Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project wi ....Mitigating Vehicular Crashes into Masonry Buildings . Around 2000 vehicles crash annually into school, home and shop buildings located at close proximity to heavily trafficked roads in Australia and cause significant distress to occupants of building and vehicle. The impacted walls mostly of masonry, suffer severe damage often with vehicle intrusion into the building. Despite this, the intrusion mechanism is not understood and no effective mitigation strategies exist at present. This project will uncover the mechanics of vehicle intrusions through masonry walls and develop novel mitigation strategies using high energy absorbing auxetic composite render and innovative vibration isolation at wall edges. These innovations will lead to new theories that can save lives in the building and vehicle.Read moreRead less
Temporal Graph Mining for Anomaly Detection. This project aims to develop new technologies to detect anomalous patterns from dynamic networked data. Anomalies in networked data are commonly seen but are often hidden within the complex interconnections of large-scale, heterogeneous, and dynamic data, rendering existing detection methods ineffective. This project expects to design novel temporal graph mining techniques to compress large-scale networks, unify heterogeneous information, and enable l ....Temporal Graph Mining for Anomaly Detection. This project aims to develop new technologies to detect anomalous patterns from dynamic networked data. Anomalies in networked data are commonly seen but are often hidden within the complex interconnections of large-scale, heterogeneous, and dynamic data, rendering existing detection methods ineffective. This project expects to design novel temporal graph mining techniques to compress large-scale networks, unify heterogeneous information, and enable label-efficient anomaly detection. The performance will be assessed in social and business networks, with significant benefits to governments and businesses in many critical applications, including cyberbullying detection, malicious account detection, and cyber-attack detection.Read moreRead less
Responsible modelling respecting privacy, data quality, and green computing. With the unprecedented growing impact of data on science, the economy and society, there comes the need for responsible data science practices which are accountable for the social good. This project aims to investigate the challenging problem of how to provide responsible data management, spanning across privacy-aware data exploration, resilient modelling to cope with imperfect data, and efficient model architectures fo ....Responsible modelling respecting privacy, data quality, and green computing. With the unprecedented growing impact of data on science, the economy and society, there comes the need for responsible data science practices which are accountable for the social good. This project aims to investigate the challenging problem of how to provide responsible data management, spanning across privacy-aware data exploration, resilient modelling to cope with imperfect data, and efficient model architectures for resource-constrained environments. This will be achieved by developing theories and techniques for complex real-world multi-modal data retrieval throughout the data life-cycle. The expected outcomes will significantly contribute to building capability in emerging technologies in the context of responsible data science. Read moreRead less
Degradation mechanisms of structural composites under extreme weather. The changing weather patterns and increasing solar radiation in Australia have greatly impacted the durability of construction materials and caused substantial damage to critical infrastructure. This project aims to understand the synergistic effects of different environmental conditions on the degradation mechanisms of advanced polymer composites and to develop new models on the long-term performance for these materials. Thi ....Degradation mechanisms of structural composites under extreme weather. The changing weather patterns and increasing solar radiation in Australia have greatly impacted the durability of construction materials and caused substantial damage to critical infrastructure. This project aims to understand the synergistic effects of different environmental conditions on the degradation mechanisms of advanced polymer composites and to develop new models on the long-term performance for these materials. This project expects to generate new knowledge on polymer composites incorporating new classes of fibres, resin systems, and functional fillers. Expected outcomes include the discovery of new composite technologies for the longevity of Australian infrastructure - crucial to our economic prosperity and quality of life.
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