Our research involves developing new electronic circuits, computer architectures and signal-processing algorithms to address societal problems ranging from mental health to defence.
Our research is concerned with developing new computer hardware, algorithms and methodologies to accelerate computations, improve wellbeing, learn from data and provide virtual reality.
We have dedicated researchers in the areas of:
Our partners: Imperial College, Harbin Institute of Technology, University of British Columbia
Our industry partners: Westpac, Zomojo, DST Group
Reconfigurable computing concerns research into design practices and computer planning. Platforms used include very large-scale integration (VLSI), field programmable gate arrays (FPGA) and parallel computing. We're currently studying financial time series prediction, real-time signal processing and nanoscale interfaces. Through specific problem-solving strategies, significant improvements can be achieved in execution time, power consumption and chip area.
We're forging new directions in the production of smart software, using the technologies in computer vision, machine learning, medical image analysis, cloud computing and human-computer interaction. We're developing advanced video and image analysis algorithms that could be used in autonomous driving, surveillance, and medical diagnosis and treatment. We're also investigating how to accelerate the developed algorithms using the technology from cloud computing and edge computing.
Computing and audio research consists of three main areas: spatial audio, audio engineering and bioacoustic engineering. Spatial audio explores elements including how humans localise sounds, the effect of room acoustics on sound perception and generation of augmented and virtual reality audio. Our collaboration with the Auditory Neuroscience Laboratory and the Acoustics Research Laboratory at the University of Sydney forges a strong research alliance in this field.
Audio engineering investigates audio signal processing and applications of machine learning to acoustic signals. It includes the study of morphoacoustics: the study of the relationship between physical structures, their acoustic properties, and perception. In this area, we are working with the Politecnico di Milano to study violin acoustics and with the University of York to study the acoustics of the vocal tract.
Bioacoustic engineering explores the development of hardware and algorithms to measure and classify bioacoustic signals as well as acoustic stimulation using ultrasound. Our ultrasound research focuses on nanoparticle stimulation, sonoporation, and high-intensity focussed ultrasound (HIFU).
Our partners: Dr Lavy Libman (UNSW), Dr Young Choon Lee (Macquarie University), Dr Javid Taheri (Karlstad University, Sweden)
Distributed and high-performance computing spans a complementary mix of both theoretical and experimental research, such as algorithmics and analytics, green and cloud computing, virtualisation technologies, networking, Internet of Things and service computing. It measures its impact in areas including health, energy management, embedded systems, sensors and mobile platforms.