Australian Laureate Fellowships - Grant ID: FL190100035
Funder
Australian Research Council
Funding Amount
$3,009,457.00
Summary
Human-centric Model-driven Software Engineering. This project aims to find fundamentally new ways to capture and use human-centric software requirements during model-driven software engineering and verifying that systems meet these requirements. There are major issues with misaligned software applications in terms of accessibility, usability, emotions, personality, age, gender, and culture. This project aims to address these through new conceptual foundations and modelling techniques for their s ....Human-centric Model-driven Software Engineering. This project aims to find fundamentally new ways to capture and use human-centric software requirements during model-driven software engineering and verifying that systems meet these requirements. There are major issues with misaligned software applications in terms of accessibility, usability, emotions, personality, age, gender, and culture. This project aims to address these through new conceptual foundations and modelling techniques for their support during software engineering. The intended outcomes are enhanced theory, models, tools and capability for next-generation software engineering with these critical elements. Significant benefits are expected to include greatly improved software quality, developer productivity and cost savings.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL170100117
Funder
Australian Research Council
Funding Amount
$3,208,192.00
Summary
On snapping up semantics of dynamic pixels from moving cameras. The project aims to develop a suite of original models and algorithms for processing and understanding videos captured by moving cameras, and to establish the mathematical foundations for deep learning-based computer vision to provide theoretical underpinnings. The project expects to generate new knowledge that will transform moving-camera computer vision with step-changes in visual quality enhancement, compression and acceleration ....On snapping up semantics of dynamic pixels from moving cameras. The project aims to develop a suite of original models and algorithms for processing and understanding videos captured by moving cameras, and to establish the mathematical foundations for deep learning-based computer vision to provide theoretical underpinnings. The project expects to generate new knowledge that will transform moving-camera computer vision with step-changes in visual quality enhancement, compression and acceleration technologies, and solutions for fundamental computer vision tasks. A new concept of feature complexity for measuring the discriminant and learnable abilities of features from deep models will also be defined. The outcomes of the project will be critical for enabling autonomous machines to perceive and interact with the environment.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL180100109
Funder
Australian Research Council
Funding Amount
$2,762,247.00
Summary
Unifying mechanisms of innate immunity signaling in animals and plants. This project aims to improve our understanding of innate immunity, the first line of defense against pathogens in diverse organisms. Innate immune pathways are key to a range of pathological states in animals, and provide plants with resistance to the diseases that account for 15% of crop losses. This project will generate knowledge, through characterising mechanisms of cell signalling for mammalian and plant innate immunity ....Unifying mechanisms of innate immunity signaling in animals and plants. This project aims to improve our understanding of innate immunity, the first line of defense against pathogens in diverse organisms. Innate immune pathways are key to a range of pathological states in animals, and provide plants with resistance to the diseases that account for 15% of crop losses. This project will generate knowledge, through characterising mechanisms of cell signalling for mammalian and plant innate immunity. The outcomes will include a unified signalling model, and form the foundation for a range of applications in human biology and agriculture, such as the development of durable and effective resistance in crops.Read moreRead less