Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowled ....Advanced Machine Learning with Bilevel Optimization. There is an urgent need to develop a new machine learning (ML) paradigm that can overcome data-privacy and model-size constraints in real-world applications. This project aims to develop an advanced paradigm of ML with bilevel optimisation, called bilevel ML. A theoretically-guaranteed fast approximate solver and a new fuzzy bilevel learning framework will be developed to achieve the aim in complex situations; a methodology to transfer knowledge and an approach to fast-adapt bilevel optimization solutions when required computing resources change. The anticipated outcomes should significantly improve the reliability of ML with benefits for safety learning and computing resource optimisation in ML-based data analytics.Read moreRead less
Causal Knowledge-Empowered Adaptive Federated Learning. Federated learning tools are a promising framework for collaborative machine learning (ML) that also maintain data privacy; however, their ability to model heterogeneous data remains a key challenge. This project aims to develop a new learning scheme for coordinated training of ML models that successfully bridges variable data distributions. The framework proposed will be the first globally that can use causal knowledge to 1) handle data he ....Causal Knowledge-Empowered Adaptive Federated Learning. Federated learning tools are a promising framework for collaborative machine learning (ML) that also maintain data privacy; however, their ability to model heterogeneous data remains a key challenge. This project aims to develop a new learning scheme for coordinated training of ML models that successfully bridges variable data distributions. The framework proposed will be the first globally that can use causal knowledge to 1) handle data heterogeneity across devices and 2) address the real-world challenges when only a subset of devices have labelled data. Expected outcomes and benefits include the theoretical underpinnings and algorithms of causality-based collaborative training of ML models while better preserving the users’ data privacy.Read moreRead less
Approaching near-ideal strength for bulk amorphous metals. This project aims to develop a novel metal materials design strategy to break the strength ceilings of nanocrystalline metals and bulk metallic glasses. This strategy is based on a novel concept of synergy between a bulk amorphous matrix and phase-transforming nanocrystallites embedded within. The nanocrystallites, via their uniform transformation lattice distortion, prevent the formation of shear bands in the amorphous matrix and enable ....Approaching near-ideal strength for bulk amorphous metals. This project aims to develop a novel metal materials design strategy to break the strength ceilings of nanocrystalline metals and bulk metallic glasses. This strategy is based on a novel concept of synergy between a bulk amorphous matrix and phase-transforming nanocrystallites embedded within. The nanocrystallites, via their uniform transformation lattice distortion, prevent the formation of shear bands in the amorphous matrix and enable collective atomic load transfer to allow the amorphous matrix to continue to load to achieve its intrinsic near-ideal strength. The amorphous matrix eliminates the grain boundary plasticity of the nanoscrystallites. This concept is novel and untested in the history of physical metallurgy.Read moreRead less
Transformation Dual Phase Synergy for Unprecedented Superelasticity. This project aims to develop metallic materials of unprecedented mechanical properties based on a novel concept of transformation triggered dual-phase synergy. This is enabled by harnessing the intrinsic strength of interatomic bonds in solids using the nanoscience principle of lattice strain matching between phase transforming bodies. The project will provide significant benefits, such as innovating our metal production techno ....Transformation Dual Phase Synergy for Unprecedented Superelasticity. This project aims to develop metallic materials of unprecedented mechanical properties based on a novel concept of transformation triggered dual-phase synergy. This is enabled by harnessing the intrinsic strength of interatomic bonds in solids using the nanoscience principle of lattice strain matching between phase transforming bodies. The project will provide significant benefits, such as innovating our metal production technology and to value-add the metal processing and manufacturing industries of Australia.Read moreRead less
Modelling twinning transitions in light metals: a new foundation for alloy and process development. Australia's quest to become a world leader in light metals technology is being held back by a lack of quantitative understanding of the metallurgical behaviour of magnesium, which is the lightest engineering metal, and titanium, which is the strongest light metal. In particular, there is poor knowledge of the influence of material parameters on deformation twinning. This knowledge is vital for eff ....Modelling twinning transitions in light metals: a new foundation for alloy and process development. Australia's quest to become a world leader in light metals technology is being held back by a lack of quantitative understanding of the metallurgical behaviour of magnesium, which is the lightest engineering metal, and titanium, which is the strongest light metal. In particular, there is poor knowledge of the influence of material parameters on deformation twinning. This knowledge is vital for efficient production and optimised alloy and part design. This proposal aims to develop a quantitative understanding of transitions in twinning activation for improved performance in fatigue, crash behaviour, structural integrity, forming, forging, extruding, hot rolling and annealing.Read moreRead less
Innovative Zn alloys with essential mechanical and biofunctional properties. This project aims to develop a breakthrough understanding of the impact of alloying additions on the strengthening mechanisms, degradation behaviour, antibacterial properties and biofunctionalities of zinc alloys. The project expects to generate new knowledge in alloying strategies, plastic deformation and surface modification of zinc alloys to achieve mechanical, corrosion and biofunctional properties satisfying the re ....Innovative Zn alloys with essential mechanical and biofunctional properties. This project aims to develop a breakthrough understanding of the impact of alloying additions on the strengthening mechanisms, degradation behaviour, antibacterial properties and biofunctionalities of zinc alloys. The project expects to generate new knowledge in alloying strategies, plastic deformation and surface modification of zinc alloys to achieve mechanical, corrosion and biofunctional properties satisfying the requirements of biodegradable metallic materials. The expected outcomes are the development of novel zinc alloys and practical technologies for industry applications, such as thermomechanical processing and surface coating. The benefits are expected to extend to physical metallurgy and biomaterial manufacturing.Read moreRead less
Optimising students’ academic trajectories: The role of growth (‘personal best’) goals. Too many students fail to reach their academic potential and, as a result, they risk being systematically denied a sense of academic ‘success’ and progress. Through a focus on academic growth (and ‘personal bests’), this research project traverses complex terrain to identify the role of growth goals and growth goal setting in students’ academic trajectories. It also tackles methodological challenges that have ....Optimising students’ academic trajectories: The role of growth (‘personal best’) goals. Too many students fail to reach their academic potential and, as a result, they risk being systematically denied a sense of academic ‘success’ and progress. Through a focus on academic growth (and ‘personal bests’), this research project traverses complex terrain to identify the role of growth goals and growth goal setting in students’ academic trajectories. It also tackles methodological challenges that have impeded research progress in this compelling area. Through strategic international and institutional links, the research program will identify innovative approaches to academic growth and growth goals that will significantly assist pedagogy and psychology aimed at optimising students’ academic potential.Read moreRead less
Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts define ....Solving the inert knowledge problem. A central goal of education is for students to transfer what they learn to new contexts or problems. Indeed, expert reasoning is often characterised by seeing the deep structural commonalities across seemingly disparate situations. However, the knowledge students acquire is notoriously inert, tied to the specifics of the learning examples. This project aims to move towards solving 'the inert knowledge problem' by investigating how humans learn concepts defined by abstract relational structure, and by designing educational applications that enhance the use of relational learning mechanisms in students with a wide range of cognitive abilities.Read moreRead less
Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new ....Excellent researchers: Using learner profiles to enhance research learning. Recent evidence concerning metacognitive learning and affect reveals that research degree candidates are a diverse group of learners, and little is known about explaining wasteful attrition, stress and delays in progress. Such a study is essential, especially given the growth in research degrees, new transitional pathways, diversity in candidate backgrounds and chronic high attrition. This longitudinal study applies new findings about doctoral learning profiles in a direct intervention (DOCLearnPro) that targets individual differences across students in doctoral and master’s degrees to improve learning outcomes significantly and contribute theoretically, methodologically and substantively in order to advance understanding of researcher development.Read moreRead less
MICROFORMING: effects of microstructural scale on metal formability. Microforming is a rapidly growing industry, and already enjoys considerable activity in Germany, Japan, the US, and Korea, all of which are major trading partners of Australia. This project couples fundamental insight into the effects of microstructural and geometric scale with the frontier technology of microforming. Thus, the project will place Australian researchers at the frontier of microforming research, with the capacity ....MICROFORMING: effects of microstructural scale on metal formability. Microforming is a rapidly growing industry, and already enjoys considerable activity in Germany, Japan, the US, and Korea, all of which are major trading partners of Australia. This project couples fundamental insight into the effects of microstructural and geometric scale with the frontier technology of microforming. Thus, the project will place Australian researchers at the frontier of microforming research, with the capacity to be involved in shaping the industry. In the course of this work, new process routes will be developed, new materials may be created, and new opportunities will certainly emerge.Read moreRead less