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
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.Read moreRead less
Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment ....Broadening Choice and Increasing Diversity in Public Schools. Currently, most families are limited to the public school in their catchment area, meaning the area in which they can afford to live. This leads to socio-economically and ethnically homogenous schools and entrenches disadvantage, as well as denying students the crucial life lessons that flow from being part of a diverse student body. This project aims to investigate a model for allocating public school places that integrates catchment areas. The expected outcome would be a system that gives families a wider choice, enabling them to enrol in out-of-area schools, while ensuring that allocations remain fair, equitable and balanced, and also delivering benefits such as achieving a desired level of diversity in student populations within schoolsRead moreRead less
Improving Pain And Movement Outcomes In Symptomatic Knee Osteoarthritis
Funder
National Health and Medical Research Council
Funding Amount
$431,000.00
Summary
People fear getting painful knee osteoarthritis (OA) more than any other disease – it is seen as progressive and incurable. It often stops people from moving and staying healthy, resulting in an enormous burden on sufferers and the health care system. This program of research aims to understand what brain & nervous system processes might underlie these pain and movement problems and whether new brain-targeting treatment helps. This will allow us to better match treatment to what patients need.
Unravelling The Behavioural And Brain Mechanisms Of Compulsive Disorders, And New Ways To Treat Them
Funder
National Health and Medical Research Council
Funding Amount
$635,076.00
Summary
Disorders of compulsion, such as obsessive-compulsive disorder and substance use disorder, are chronic, debilitating, and present a significant cost to the individual and to society. Together, these disorders affect more than 10% of the population. Moreover, 40-60% of these individuals are resistant to current treatment. The current project is aimed at improving the preclinical research underlying our understanding the behavioural and brain mechanisms of such disorders and how to treat them.
Modifiable Risks And Interventions For Cognitive Decline, Depression And Dementia In Older People
Funder
National Health and Medical Research Council
Funding Amount
$430,055.00
Summary
This research proposal will explore the modifiable risk factors for cognitive decline (ie. changes in memory and thinking functions) in older people. It will examine the pertinence of critical contributors to glial-neuronal networks including depression, cardiovascular disease, sleep-wake systems, mental and physical exercise, inflammatory processes and diet, as well as test interventions that target these risk factors. It will use sophisticated brain scanning methods to examine which factors pr ....This research proposal will explore the modifiable risk factors for cognitive decline (ie. changes in memory and thinking functions) in older people. It will examine the pertinence of critical contributors to glial-neuronal networks including depression, cardiovascular disease, sleep-wake systems, mental and physical exercise, inflammatory processes and diet, as well as test interventions that target these risk factors. It will use sophisticated brain scanning methods to examine which factors promote neuroplasticity.Read moreRead less
Testing strategy-proofness in matching markets: an experimental study. This project seeks to test and improve matching algorithms by investigating the effect of advice on strategy-proofness. Matching algorithms are used to solve allocation problems in designed markets (eg school or house allocation problems). Many of the algorithms employed are strategy-proof: participants never gain from strategising, that is, from lying about their preferences. Strategy-proofness had been seemingly validated b ....Testing strategy-proofness in matching markets: an experimental study. This project seeks to test and improve matching algorithms by investigating the effect of advice on strategy-proofness. Matching algorithms are used to solve allocation problems in designed markets (eg school or house allocation problems). Many of the algorithms employed are strategy-proof: participants never gain from strategising, that is, from lying about their preferences. Strategy-proofness had been seemingly validated by experimental research, but new evidence suggests that participants could be prone to follow wrong advice and therefore lie. In order to improve the performance of designed markets, the project proposes to further test strategy-proofness by investigating how advice can affect truth-telling in strategy-proof algorithms and whether learning can counteract or complement the effect of advice.Read moreRead less
Investigating The Cellular Response To Iron-Depletion: The Trilogy Of ASK1, Thioredoxin And Ribonucleotide Reductase
Funder
National Health and Medical Research Council
Funding Amount
$552,572.00
Summary
Iron is crucial for many essential biological processes. Recently, we demonstrated that iron-depletion can affects important signalling pathways (e.g., JNK and p38) that play important roles in growth arrest and apoptosis. This study is designed to investigate the cellular and molecular effects of iron depletion which currently remains unclear. The research is crucial for understanding: (1) the effects of iron deficiency and (2) for understanding the effects of iron chelators that are used for t ....Iron is crucial for many essential biological processes. Recently, we demonstrated that iron-depletion can affects important signalling pathways (e.g., JNK and p38) that play important roles in growth arrest and apoptosis. This study is designed to investigate the cellular and molecular effects of iron depletion which currently remains unclear. The research is crucial for understanding: (1) the effects of iron deficiency and (2) for understanding the effects of iron chelators that are used for treating various diseases.Read moreRead less
Neuropathic pain is particularly difficult to treat and existing medications have considerable side effects. This project will develop a new set of glycine transport inhibitors that have the potential to provide pain relief without side effects.