Advanced planning systems for vertically integrated supply chain management. This project will integrate various algorithms into an adaptive, dynamic and intelligent system that deals with the vertically integrated supply chains. The outcomes include publications in the quality outlets, generation of intellectual property, and dissemination of this research amongst the research and business communities.
Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with ....Privately owned public space: noise cancellation over multiple regions. This project aims to advance fundamental research in active noise control over spatial regions. It has a broad range of industry applications, such as eliminating road and engine noise for multiple passengers inside car/airplane cabins, and creating individual quiet zones in a public environment. It will focus on developing new theories and techniques to generate multiple quiet zones in indoor/outdoor noisy environments with performance prediction, robust control, and effective implementation. In many practical applications, especially in consumer electronics and medical instruments, the creation of quiet zones is desirable so that in a shared environment people can have their own audio space without physical isolation or using headphones, creating a healthy living and working environment.Read moreRead less
Empowering optical metamaterials with gain. Artificial materials composites (metamaterials) make it possible for us to observe extra-ordinary properties, such as magnetic behaviour in glass and bending light in any direction. The project proposes to enhance the usability of metamaterials by redesigning them to strengthen their interaction with light, thus making them suitable for industrial applications.
PET imaging of learning-related plasticity in awake behaving rats. The objective of the project is to combine an investigation of basic learning paradigms with functional Positron emission tomography (PET) imaging in rats in order to answer critical questions about the neurobiological basis of learning and decision-making in the brain. MicroPET technology provides PET images without the confounds induced by anaesthesia. Using this technology, the project intends to observe whole-brain changes in ....PET imaging of learning-related plasticity in awake behaving rats. The objective of the project is to combine an investigation of basic learning paradigms with functional Positron emission tomography (PET) imaging in rats in order to answer critical questions about the neurobiological basis of learning and decision-making in the brain. MicroPET technology provides PET images without the confounds induced by anaesthesia. Using this technology, the project intends to observe whole-brain changes in dopamine neurotransmission in awake, behaving rats while they learn to predict motivationally relevant outcomes based on environmental cues and on their own actions (ie during Pavlovian and instrumental conditioning, respectively). The outcomes of this research may improve our understanding of the neural changes responsible for debilitating disorders of the brain and mind.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100858
Funder
Australian Research Council
Funding Amount
$344,896.00
Summary
Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to eff ....Human-Centred Robot Training. This project aims to address the challenge of effectively enabling novice users to train robots on complex tasks using instructional methods and gamification. With the recent advances of AI research, robots have now better cognitive and functional skills, research in robot training also now allows them to learn interactively from human. Since these robots are expected to provide assistance in different domains including education and healthcare, it is crucial to effectively engage human in robot’s instruction. Expected outcomes include new methods for trainers to assess robot learning, and to improve their engagement and feedback. This should provide significant human-robot interaction benefits for accessibility of learning robots.Read moreRead less
Understanding and improving resistive-switching in hafnium-oxide-based high-k dielectrics for non-volatile memory applications. This project aims to develop the technology for fabricating a new class of high-density, non-volatile memory for use in portable electronic devices and other embedded electronic systems.
Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic ....Biologically Inspired Binaural Coupling for Selective Machine Hearing. This project aims to investigate biologically-inspired binaural coupling models in the context of the deep learning paradigm by formulating desirable higher level auditory structures as neural network sub-systems. This project expects to generate new knowledge for developing the next generation of robust speech processing systems that are capable of mimicking the selecting listening ability of humans when faced with realistic noisy speech signals and the ‘cocktail party problem’ using innovative binaural feedback systems. This work should provide significant benefits, including improved voice biometrics and selective auditory attention capabilities in machines.Read moreRead less
Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a gro ....Integrating biologically-inspired auditory models into deep learning. This project aims to discover how a biologically inspired auditory model can be tightly integrated into a state-of-the-art deep learning speech processing framework, to model, design and verify a deep learning based auditory model. Voice-based technologies, ranging from cochlear implants to smart homes, are growing at a rapid pace and speech interfaces are being integrated with all aspects of our lives. However, there is a growing demand to improve these voice-enabled services, making them more secure and less open to cyber-crime attack by unauthorised users. The project is expected to improve techniques for modelling and automatic processing of speech and audio signals, which should provide significant benefits, including improved voice biometrics and cochlear implants.Read moreRead less
Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise i ....Active Sound Control and Noise Cancellation over Space. This project aims to address the critical issues for creating acoustic quiet zones in a noisy environment. It will provide novel signal processing theory for further development of active noise cancellation techniques over spatial regions. New technologies developed from this project are expected to underpin the future development of acoustic signal processing research and will have a broad range of applications such as reduction of noise inside cars, creation of individual quiet zones in passenger planes and mitigation of acoustic noise made by industrial plants to neighbouring suburbs. The outcomes from this proposal will also have economic importance as it can reduce the health risk posed to people working or living in noisy environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100363
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further d ....The cocktail party problem: Advancing binaural localisation techniques. This project aims to advance fundamental research in source localisation by using a binaural system with two sensors to mimic human listening capabilities. It will provide new theory of source localisation features, novel signal processing techniques and design of binaural devices for localising sound sources in a cluttered acoustic environment. New technologies developed from this project will endeavour to lead to further development of binaural audio research and will have a broad range of applications, such as hearing aids, personal sound amplification products and humanoid robots. The project aims to enable people wearing binaural devices or robots having two artificial ears to localise sounds and to follow a conversation in realistic situations.Read moreRead less