Data and information science

Flinders University has pioneering researchers in deep learning, artificial intelligence, machine learning, neuroscience, cognitive science, and assistive technology, and their application to practical use.

Our researchers have extensive experience in medical image and data analysis, machine vision, computational and temporal data management.

Our research has a strong focus on industry partnerships to improve the health and wellbeing of the community.

Our digital health research program is headed by world-leading researchers with a strong focus on the translation of research into practical application. Our research demonstrates the contribution that digital health technologies can make to support healthcare, whilst also using information security as an enabler for improved healthcare communication and interoperability.

Our research incorporates international and industry standards to address the challenges in developing solutions for virtual care, process optimization, and medical device and software safety and security, and quality of app development.

We are making the world a safer place through our research in cybersecurity and networking. Our researchers have a passion for applying security across novel and emerging communication platforms, as well as investigating how cybersecurity can seamlessly protect sectors such as healthcare, transport, and manufacturing.

As new technologies, apps and AI become integrated into everyday life, our research is contributing to the understanding the role of cybersecurity in AI, intelligent systems, and sensor and IOT networks.

In a world where we need scalable and resilient networks, our research is also supporting disaster situations, using mobile communications.

Our researchers in mathematical analysis cover a wide and varied application of mathematical and statistical methods, with application into sport, health, and biology.

Our research includes design optimization of complex processes considering the socio-technical aspects, and uncertainty management and ill-defined problem modelling.

Exciting investigation into integrable, chaotic and dynamical systems combined with group theory, symmetry, and geometry, are leading the field to manage complex systems.

Through avid gaming research coupled with audio-visual-sensing processing, our researchers are investigating how we can use technology to enhance human-computer interaction, including using conversational agents. 

Our researchers link with industry to solve human interaction and behaviour integration in complex systems through simulation modelling. A key aspect of our research is the incorporation of augmented reality, digital game design and advanced visualization.