Novel Bioinformatics approaches for genetics and data linkage. The research project will involve creation of novel data and communications formats to fulfil the vital task of integrating the vast heterogeneous biological resources available. We will apply this new infrastructure to a large data linkage project. In parallel, we will undertake methodological research in informatics to design high throughput research methods and tools to analyse and visualise genetic data. These will be applied to ....Novel Bioinformatics approaches for genetics and data linkage. The research project will involve creation of novel data and communications formats to fulfil the vital task of integrating the vast heterogeneous biological resources available. We will apply this new infrastructure to a large data linkage project. In parallel, we will undertake methodological research in informatics to design high throughput research methods and tools to analyse and visualise genetic data. These will be applied to linkage disequilibrium mapping and haplotyping in human, animal and plant diseases. Improving informatics integration and designing novel methods and implementations of algorithms will be beneficial to local and international researchers in a range of fields.Read moreRead less
An Economical, Robust Alternative Braille Transcription Device. The Curtin University Brailler (CUB). Braille is an important language used by the blind to read and write and Braillers are needed for everyday communication. This justifies the development of a light weight, transportable unit that is accessible at all times. This project proposes a relatively inexpensive, light weight, reliable and easily maintained Braille transcription system. The significant aspects of the proposed brailler in ....An Economical, Robust Alternative Braille Transcription Device. The Curtin University Brailler (CUB). Braille is an important language used by the blind to read and write and Braillers are needed for everyday communication. This justifies the development of a light weight, transportable unit that is accessible at all times. This project proposes a relatively inexpensive, light weight, reliable and easily maintained Braille transcription system. The significant aspects of the proposed brailler include;
- An Electromagnetically compatable (EMC)12 Volt Power Supply allowing the common car battery as a backup power source.
- Use of modern plastics (PTFE) to reduce weight, maintenance and EMC standards.
- An embedded system for Forward and Back translation of literary Braille
- Protocol development and specification for USB keyboard and (standard) printer.Read moreRead less
Preclinical Development Of A Therapeutic Anticancer Antibody To C-Met
Funder
National Health and Medical Research Council
Funding Amount
$435,530.00
Summary
Many common cancers cannot be effectively treated. A range of these cancers (e.g. gastric and lung cancer) display the molecule c-Met on their cell surface. c-Met promotes tumour growth; therefore, blocking c-Met is a promising strategy for treating these cancers. However, no antibodies or drugs that target c-Met have been licensed. The therapeutics that are being developed to target c-Met all have considerable limitations. Thus, there is an opportunity to develop a 'best-in-class' therapeutic.
3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environmen ....3D Diffusion Models for Generating and Understanding 3D Scenes. Diffusion models, such as DALL-E2 and Imagen, have achieved remarkable success in generating photorealistic images and hold promise to solve long-standing computer vision problems. However, 3D scene generation remains unexplored. This research project aims to bridge the gap by developing 3D diffusion models capable of generating complete 3D scenes. This will advance our theoretical understanding of diffusion in complex 3D environments and open up new possibilities for applications in fields such as virtual reality, architecture, and city planning. The proposed 3D diffusion models will also enhance the accuracy of computer vision tasks related to 3D scene understanding, such as object detection, tracking, and semantic segmentation.Read moreRead less
Reducing Peer Victimisation In Australian Schools Through Targeted And Universal Approaches
Funder
National Health and Medical Research Council
Funding Amount
$1,063,531.00
Summary
Peer victimisation is a significant problem for young people in Australia and can lead to devastating long-term consequences including poor self esteem, depression and suicide. The current project aims to identify the most cost effective methods to reduce peer victimisation in schools. This will combine programs applied across the whole school with a more targeted program building resilience in vulnerable children. The results will have important implications for anti-bullying policies in school ....Peer victimisation is a significant problem for young people in Australia and can lead to devastating long-term consequences including poor self esteem, depression and suicide. The current project aims to identify the most cost effective methods to reduce peer victimisation in schools. This will combine programs applied across the whole school with a more targeted program building resilience in vulnerable children. The results will have important implications for anti-bullying policies in schools.Read moreRead less
Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result giv ....Optimal Robust Fitting under the Framework of LP-Type Problems. The project aims to develop algorithms to support the development of robust and accurate computer vision systems. Real-world visual data (images, videos) is inherently noisy and outlier prone. To build computer vision systems that work reliably in the real world, it is necessary to ensure that the underlying algorithms are robust and efficient. The project aims to devise novel algorithms that can compute the best possible result given the input data in a short amount of time. The expected outcomes would support the construction of reliable and accurate computer vision-based systems, such as large-scale 3-D reconstruction from photo collections, self-driving cars and domestic robots.Read moreRead less
Using Total Population Data To Describe The Characteristics Of Respiratory Infections In Order To Predict Future Epidemics And Recommend Vaccination Strategies For Western Australian Children
Funder
National Health and Medical Research Council
Funding Amount
$294,892.00
Summary
Respiratory infections are a major reason for children to go to hospital. I am an epidemiologist and I will be using previously collected and linked laboratory and hospital data from Western Australian children to better understand how these infections flow through the population over different seasons. I will then be able to predict future epidemics of respiratory infections and how different vaccine programs might have an impact in reducing how many children are affected by these infections.
Vaccination Timeliness In Aboriginal And Non-Aboriginal Infants: Risk Factors For Delayed Vaccination And Impact On Disease Burden—a Record Linkage Study
Funder
National Health and Medical Research Council
Funding Amount
$538,183.00
Summary
Vaccination has had a significant impact, but preventable infections continue to occur, perhaps due to delayed uptake of scheduled doses. For the first time, we will link vaccination and other health records to: provide accurate estimates of the impact of vaccination; identify reasons for delayed vaccination; and quantify the expected reduction in disease burden if vaccination timeliness was improved. The study will help determine who would benefit most from efforts to improve timeliness.
Innovative School-based Interventions To Improve Mental Health And The Social And Emotional Development Of Australian Children
Funder
National Health and Medical Research Council
Funding Amount
$763,845.00
Summary
I am a Professor in the Faculty of Medicine, Dentistry and Health Sciences, University of Western Australia and the Telethon Kids Institute. My research develops and delivers interventions that improve the quality of life, health, education, safety and social justice outcomes for Australian children. My work is particularly focused on ways to reduce harms from bullying and cyberbullying among children and adolescents.
Active multispectral computer vision for defence and security. This project will develop new techniques to extract intelligent information from multispectral images in the visible and near infra-red spectrum. It will enable computers to automatically recognise objects, faces and human actions with unprecedented accuracy.