Student topics

We're seeking brilliant and highly motivated students to work on an Australian Research Council-funded project.Our goal is to transform augmented reality (AR) from a hyper-specialised tool for power users, into an enabler of creativity, socialisation, and new forms of community.We will reimagine augmented reality, from the current hyper-specialised tool for power users, into an enabler of creativity and imagination. We seek to engage with artists, designers, musicians, to explore new forms of creativity, art, and performance.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Projects in this topic area include:Pre-service teachers' self-efficacy in arts educationUsing embodied learning through guided re-enactment and drama pedagogy in high school settings

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Education

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Clinical Sciences

Research centre(s)

Centre for Biomedical Technologies

Potential projects under the topic of Professional Learning include:Professional Learning Mentoring Chain using an *Arts Immersion approach to learning and teachingProfessional learning for 21st century - self-directed and continuous life-long learningHuman capacity development vs school educationTeacher professional identity, self-efficacy, possible selves

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Education

Professor Belinda Bennett is interested in talking to students who wish to undertake research on legal issues related to technology, innovation and health, regulation of innovative health technologies, legal issues related to genomics, the use of artificial intelligence in health care, and the use of robotics in health care.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Law

Research centre(s)

Australian Centre for Health Law Research

Up to 98% of patients with Parkinson’s Disease (PD) have non-motor symptoms (Poewe et al. Nature Rev Dis 2017, 3: 17013) and of those, circadian and sleep disorders are the most common (for review, Gros & Videnovic. 2020, Clin Geriatr Med 36: 119). These symptoms become increasingly prevalent during the course of PD and are key determinants affecting quality of life, advancement of overall disability and placement in nursing homes (Shapira et al. Nat Rev Neurosci 2017,18:435). Circadian and sleep …

Study level

PhD

Faculty

Faculty of Health

School

School of Biomedical Sciences

Computer vision has developed to a point where machines using artificial intelligence are better and faster than humans at performing many vision-related tasks. For example, we are now often processed through customs based solely on face recognition software. Add to this the fact that the average Australian is photographed on CCTV cameras around 75 times per day. Commercial applications of face recognition technology include Microsoft's Face Application Programming Interface that can be used to classify face images based on gender, …

Study level

PhD, Master of Philosophy

This project explores how emerging technologies, including artificial intelligence, influence mathematical thinking, teaching, and learning. It focuses on how students and teachers engage with data-rich and AI-supported environments.The project aligns with ongoing work in quantitative reasoning, modelling, and educational innovation, including research on adaptive learning technologies.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Education

Energy transitions are often studied in sectors such as transport (e.g. electric vehicles) and housing (e.g. solar panels, batteries), where decisions are relatively infrequent, highly deliberative, and associated with clear long-term payoffs. In contrast, food consumption represents a fundamentally different energy-relevant sector: decisions are made daily or even multiple times per day, involve low deliberation, and prioritise immediate outcomes such as convenience, cost, and taste (Reisch, 2021). These characteristics make food systems particularly susceptible to short-term decision-making, where long-term energy …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Future Enterprise
Energy Transition Centre

AI is increasingly used for interpreting medical images (e.g. MRI, CT, X-ray) in order to diagnose or monitor diseases. We are working on methods that can explain the AI decision and provide supplementary information. For example, if AI detect an abnormality, we want to generate the same scan without the abnormality. Another example is to detect automatically an area that is suspicious just by learning what healthy scans look like.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

The transition toward a more sustainable energy system is generating vast volumes of data from distributed sources such as smart meters, energy sensors, and user-end devices. Energy informatics highlights the crucial role of information systems in optimising both energy supply and demand (Watson et al., 2010). In this project, we explore how cognitive computing systems (CCS), integrating artificial intelligence (AI), cognitive psychology, and neurobiology, can strategically transform energy informatics by creating adaptive, explainable, and human-aligned energy solutions.Leveraging advances in CCS …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Energy Transition Centre

The assessment of medical graduate competency is a cornerstone of medical education and a critical safeguard for patient safety. Newly qualified physicians must demonstrate a broad range of skills and knowledge, including diagnostic reasoning, clinical decision-making, communication, procedural skills, and professionalism before independently practicing medicine. Traditional assessment methods often include standardized multiple-choice examinations, objective structured clinical examinations (OSCEs), direct observation of procedural skills (DOPS), and portfolio reviews. While these methods offer valuable insights, they have inherent limitations. Standardized tests may …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Public Health and Social Work

Research centre(s)

Centre for Data Science