Diamond Voltage Microscopy: A new tool for neuroscience. This project aims to develop an optoelectronic voltage imaging microscope that can capture the sub-cellular electrical dynamics of neuronal networks. This will be achieved by leveraging the team’s technological breakthrough in the production of near-surface fluorescent defects in semiconducting diamond, which can optically detect local changes in electric potential. The expected outcomes of the project are a new microscopy modality and exp ....Diamond Voltage Microscopy: A new tool for neuroscience. This project aims to develop an optoelectronic voltage imaging microscope that can capture the sub-cellular electrical dynamics of neuronal networks. This will be achieved by leveraging the team’s technological breakthrough in the production of near-surface fluorescent defects in semiconducting diamond, which can optically detect local changes in electric potential. The expected outcomes of the project are a new microscopy modality and experimental framework which enables in vitro electrophysiological stimulation and recording at network scale and with single-synapse resolution. This will provide a much-needed tool to understand mechanisms underlying learning, memory formation and recall, and cognitive decline.Read moreRead less
Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of th ....Explainable machine learning for electrification of everything. The energy sector is the largest contributor to greenhouse gas emissions. "Electrification of Everything" combined with electricity generation from renewables is a key solution to decarbonise the energy and transport sectors. This project aims to develop an explainable machine learning based data-driven technology to accurately predict the impact of electrification on consumers energy consumption and cost. The expected outcome of this project includes a data-informed decision support technology to help consumers choose the best electrification technologies and solutions. This should provide significant benefits, such as increasing community engagement with electrification, and thus reducing their carbon footprint.Read moreRead less
Improving Legal Frameworks to Support Online Child Sex Abuse Prosecutions. This project aims to gain a deeper understanding of the nature and extent of online child sexual abuse prosecutions in Australia. Using empirical studies to draw on the practical experience of law enforcement and other stakeholders, it will generate new knowledge concerning the suitability of Australia's legal and policy frameworks to effectively investigate and prosecute such offences, with a particular focus on the Asia ....Improving Legal Frameworks to Support Online Child Sex Abuse Prosecutions. This project aims to gain a deeper understanding of the nature and extent of online child sexual abuse prosecutions in Australia. Using empirical studies to draw on the practical experience of law enforcement and other stakeholders, it will generate new knowledge concerning the suitability of Australia's legal and policy frameworks to effectively investigate and prosecute such offences, with a particular focus on the Asia-Pacific region and the use of new technologies. Expected outcomes include evidence-based recommendations on criminal law reform and enforcement policy that aim to improve the international enforcement of online child sexual abuse offences, and to provide a model for other forms of serious transnational online crime.Read moreRead less