Functional two-dimensional materials for photocatalysis. This project aims to explore and tailor two-dimensional materials and heterostructures by new synthetic strategies, and to develop a comprehensive understanding of the effects of crystalline and electronic structures on photocatalysis at the atomic level. The project expects to provide deep insight into catalytic mechanisms by bridging the current gap between realistic systems and theoretical calculations. By simply using solar energy, the ....Functional two-dimensional materials for photocatalysis. This project aims to explore and tailor two-dimensional materials and heterostructures by new synthetic strategies, and to develop a comprehensive understanding of the effects of crystalline and electronic structures on photocatalysis at the atomic level. The project expects to provide deep insight into catalytic mechanisms by bridging the current gap between realistic systems and theoretical calculations. By simply using solar energy, the project aims to provide an efficient and durable method for clean energy generation/conversion, and carbon sequestration. This project will build national research capacity in an emerging field and put Australia at the forefront of research on photocatalysis to address energy and environmental issues. Read moreRead less
Diatomic Electrocatalysts for Efficient Carbon Dioxide Conversion. This project will create novel electrocatalysts to produce valuable C2 compounds (ethylene, ethanol and ethylene glycol) from carbon dioxide reduction reaction. The precise catalyst structure control remains challenging but is crucial for pushing catalyst performance towards practical applications. By innovating organic macrocycle molecules as precursors, this project will generate a new paradigm of diatomic electrocatalysts with ....Diatomic Electrocatalysts for Efficient Carbon Dioxide Conversion. This project will create novel electrocatalysts to produce valuable C2 compounds (ethylene, ethanol and ethylene glycol) from carbon dioxide reduction reaction. The precise catalyst structure control remains challenging but is crucial for pushing catalyst performance towards practical applications. By innovating organic macrocycle molecules as precursors, this project will generate a new paradigm of diatomic electrocatalysts with structure control precision at atomic-scale. Such catalysts are expected to deliver high catalytic performance to accelerate the transformation to a carbon-neutral future. Synchronously, they will also serve as an ideal platform for in-depth mechanism study and establishing guidelines for rational catalyst design Read moreRead less
Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected ....Deep Interaction Learning in Unlabelled Big Data and Complex Systems. This project aims to effectively model intricate interactions deeply embedded in unlabelled big data and complex systems, which are often hierarchical, heterogeneous, contextual, dynamic or even contrastive. Learning such interactions is the keystone of robust data science and for realizing the value of big data but it poses significant challenges and knowledge gaps to existing data analytics and learning systems. The expected outcomes include new-generation theories and methods for the unsupervised learning of complex interactions in real-life big data, which are anticipated to enable the intrinsic processing of big data complexities and substantially enhance Australia’s leadership in frontier data science research and applications. Read moreRead less
Multiview Complete Space Learning for Sparse Camera Network Research. Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in ....Multiview Complete Space Learning for Sparse Camera Network Research. Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a multiview complete space learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in a wide area of surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (for example, overcrowding, trespassing), criminal, and terrorist situations. Results will be applicable internationally and enhance Australia’s role in machine learning and computer vision communities.Read moreRead less
Next-generation fluid-in-solid capacitor materials. This project will create next-generation materials to maximize the energy and power densities of electrochemical capacitors (ECs). The performance gap between batteries and ECs remains paradox. Devices with high energy and power densities will largely boost the performance of electric vehicles, mobile devices and smart grids. By innovating the design of capacitor materials using layered fluid-in-solid architecture, the project will produce new- ....Next-generation fluid-in-solid capacitor materials. This project will create next-generation materials to maximize the energy and power densities of electrochemical capacitors (ECs). The performance gap between batteries and ECs remains paradox. Devices with high energy and power densities will largely boost the performance of electric vehicles, mobile devices and smart grids. By innovating the design of capacitor materials using layered fluid-in-solid architecture, the project will produce new-concept ECs with energy density approaching to batteries. Such ECs will synchronously possess dramatically high power density, intrinsically unlike hybrid battery-capacitor. This project will maximize the efficiency of future electronics, vehicles and grids with the new generation ECs.Read moreRead less
Next-generation techniques for analysing massive data sets. To process enormous amounts of data, leading computing companies are turning to modern computing frameworks, for which little theory of efficient computational techniques has been developed. This project will resolve key theoretical questions and provide fast techniques for poorly understood pattern recognition and bioinformatics problems.
High-voltage electrode materials for lithium-ion batteries. This project aims to establish a complete battery research system and develop high-voltage electrode materials for lithium-ion batteries through mechanistic understanding obtained in operando studies. Lithium-ion batteries are the most promising choice for portable electronic devices, including electric vehicles, due to their high power and energy performance compared with other battery technologies. The success of this project is expec ....High-voltage electrode materials for lithium-ion batteries. This project aims to establish a complete battery research system and develop high-voltage electrode materials for lithium-ion batteries through mechanistic understanding obtained in operando studies. Lithium-ion batteries are the most promising choice for portable electronic devices, including electric vehicles, due to their high power and energy performance compared with other battery technologies. The success of this project is expected to advance fundamental understanding of lithium-ion batteries, and provide techniques to develop a promising high-energy and high-power battery system.Read moreRead less
Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to vi ....Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to video surveillance applications, which can enhance Australia’s homeland security.Read moreRead less
Mining multi-typed and dynamic graphs. Large volumes of data collected nowadays from real-world applications are often represented as graphs. The nodes and the edges of such graphs represent different types of entities and interactions, and they have time information. This project will develop algorithms that mine efficiently such multi-typed and dynamic graphs.
Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop n ....Efficient Management of Things for the Future World Wide Web. The future World Wide Web will connect billions of physical objects, which will offer exciting capabilities to change the world and improve the quality of human lives, just as what the Web has done in the past 20 years. Effectively and efficiently managing things is one inevitable challenge in this new era and is much more complicated than managing traditional Web documents. This project aims to focus on this key problem and develop novel techniques for linking resource-constrained things to the Web, searching them using a new search engine, as well as discovering latent relationships among things for advanced management tasks such as things recommendation and composition.Read moreRead less