Electrical Stimulation Of The Brain For Restoring Vision
Funder
National Health and Medical Research Council
Funding Amount
$1,555,864.00
Summary
This project is focused on the clinical demonstration of the Monash Vision Group’s ‘Gennaris’ cortical prosthesis or bionic eye. The clinical work will demonstrate the use of the Gennaris as a viable medical device that provides useful vision to people with adult-onset profound vision loss in their everyday living environments. This will place MVG in a position to attract funding from investors or commercial partners to perform multi-site clinical trials and obtain regulatory approval.
Discovery Early Career Researcher Award - Grant ID: DE140100017
Funder
Australian Research Council
Funding Amount
$394,800.00
Summary
Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such ....Adaptive Optimisation of Complex Combinatorial Problems. One of the most common problems faced by planners, whether in industry or government, is optimisation, finding the optimal solution to a problem. Even a one per cent improvement in a solution can make a difference of millions of dollars in some cases. Traditionally optimisation problems are solved by analytic means or exact optimisation methods. Today, however, many optimisation problems involve complex combinatorial systems that make such traditional approaches unsuitable or intractable. This project aims to assist researchers and practitioners in solving complex combinatorial optimisation problems by adapting the optimisation strategy to the problem being solved, based on problem features such as search space difficulty. 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
Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to so ....Democratisation of Deep Learning: Neural Architecture Search at Low Cost. The need to manually design Deep Learning-based Neural Networks (DNNs) limits their usage to AI experts and hinders the exploitation of their true potential more broadly, e.g., in farming, humanities. We aim to replace this tedious process through novel AI methods capable of generating DNNs that can perform significantly better and at a lower computational cost than manually designed DNNs. We further expand this idea to solve complex real-world problems with both labelled and unlabelled data found in various applications including energy and climate change. The expected outcomes include the novel AI methods, highly trained AI researchers and a number of critical applications that will bring significant benefits to Australia and the world.Read moreRead less
Non-invasive prediction of adverse neural events using brain wave activity. This project aims to develop intelligent decision-making systems for non-invasive identification of adverse neural events (fatigue/freezing of gait) through real-time monitoring of brain wave activity. Analyses of the effectiveness of the changes in physiological parameters associated with electroencephalography (EEG) signals, advanced biomedical instrumentation, and optimal computational intelligence will form a basis f ....Non-invasive prediction of adverse neural events using brain wave activity. This project aims to develop intelligent decision-making systems for non-invasive identification of adverse neural events (fatigue/freezing of gait) through real-time monitoring of brain wave activity. Analyses of the effectiveness of the changes in physiological parameters associated with electroencephalography (EEG) signals, advanced biomedical instrumentation, and optimal computational intelligence will form a basis for the development of platform technology capable of monitoring and detection of neural health status. Success is expected to yield a new generation of smart dynamic non-invasive systems that will be critical for developing effective solutions to counter life threating conditions for a large cross section of the Australian population.Read moreRead less
Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of th ....Improving the modelling of insolvency risk and financial health assessment of global companies using hybrid intelligent techniques. The social and economic impacts of corporate collapses are severe, and much research has modelled financial health and insolvency risk of companies. Most research, however, uses simple and out-dated financial ratios used by Altman (1968), and attempts to develop a universal model valid for specific (non-global) markets. Our approach is to improve the relevance of the information provided to the models (including measures of strategy, recent accounting metrics, global context). We also challenge the merits of a universal model by developing and testing a novel hybrid intelligent approach combining neural networks, genetic algorithms and self-organising maps, applicable to global markets.Read moreRead less
Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Althou ....Modelling and Removal of Noise and Artefacts in Surveillance and Security Video for Forensic Image Analysis and Enhancement. This project spearheads research in advanced digital image and video processing technology, placing Australia at the forefront of both theoretical and applied research to safeguard Australia. It tackles fundamental issues identified in our earlier research in this area and consulting work for Victoria and NSW Police Departments in forensic investigations since 2000. Although the main investigation focuses on video surveillance and security systems for public safety, policing, crime prevention and border control, the outcomes of the investigation will have other applications, including digital photography for fine-art, medical imaging, picture archiving and communication systems for telemedicine and rural healthcare systems.Read moreRead less
Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new appr ....Vision Model Based Perceptual Digital Video Coding. Digital video coding and compression is an enabling technology and has diversified applications in audiovisual communications, multimedia computing, digital television broadcast and electronic entertainment industries. The project aims at spearheading research in theory, techniques and implementation of perceptual video coding in order to achieve constant and guaranteed quality in visual communications and services. It will explore a new approach to digital video coding other than the constant bit rate coding techniques which have dominated digital video research for the past four decades. It will form a part of the theoretical foundation and principles for the next generation video coding and compression techniques, and may lead to new standards and practice.Read moreRead less
Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. ....Intelligent techniques to exploit the dynamic temporal structure in detection of attacks in credit application fraud. Obtaining credit using fraudulent information costs financial institutions billions of dollars. This project develops fraud detection methods in credit applications, working with credit bureau data. Existing fraud detection models are mostly applicable to transaction fraud, rather than application fraud, and are static. Fraudsters however constantly change their method of attack. The temporal characteristics of fraud attacks provide an additional source of information that can be exploited to gain increased predictive power. We propose a hybrid intelligent approach to construct models that are sensitive to the temporal dynamics of fraud attacks, and evolve to acknowledge the changing behaviour of fraudsters.Read moreRead less
On Line Real Time Inspection of Vehicle Structures. The aim of this project is to develop an automated, on-line, real-time, inspection system that can detect incorrect placement or absence of specific components on the underside of a vehicle structure. The inspection system is to be integrated with a factory wide quality control and information gathering system. Development of an automated inspection system will enable the reliable identification of defects and tracking of quality levels in the ....On Line Real Time Inspection of Vehicle Structures. The aim of this project is to develop an automated, on-line, real-time, inspection system that can detect incorrect placement or absence of specific components on the underside of a vehicle structure. The inspection system is to be integrated with a factory wide quality control and information gathering system. Development of an automated inspection system will enable the reliable identification of defects and tracking of quality levels in the final assembly station. The expected outcome is the design and implementation in prototype form, of an intelligent, automated inspection system that can accommodate a wide range of product variants.Read moreRead less