Research

Bringing researchers together to promote research and education across physics, engineering, mathematics, biology and social sciences.

We are leaders in multidisciplinary research that advances information technology, cloud computing, distributed computing, cybersecurity, green computing and other application domains.

We’re committed to exploring new horizons in artificial intelligence and endowing machines with the capabilities of perceiving, learning, reasoning and behaviour.

We’re exploring the foundational aspects of computer science with an in-depth focus on algorithms, optimisation and data structures.

We’re co-designing efficient software-hardware systems for deep learning training and inference, augmented reality, planet-scale extended reality and cross-stack support for future quantum architectures and applications.

Our research explores the vast areas of software engineering and systems, artificial intelligence, computer engineering, reconfigurable computing and audio engineering.

We create new technologies for personalised, pervasive interaction. We also build the theoretical foundations, technical infrastructure and new interfaces to support new forms of interaction to improve our lives.

Our research addresses security and privacy challenges posed by our increasingly "online lives", where unprecedented volumes of personal information is transferred over the Internet and stored in the cloud.

We design, engineer and evaluate new technologies, and conduct fundamental research that reflects the deeply human-centred and collaborative nature of engineering.

We’re developing novel theories and algorithms for humans and machines to capture, process, analyse and understand single and multiple images and video.

Using the theory and quantitative methods of guided self-organisation, large-scale complex networks and distributed computation, we aim to improve prevention and management of techno-socio-economic and environmental crises.

We're developing new visual representation and visualisation methods for humans to find patterns in complex and abstract data sets.