Student topics

Blood cancers, which include leukaemia, lymphoma and myeloma account for 10% of all cancers and 9.4% of cancer deaths. Stem cell transplantation (SCT) is the predominant curative therapy for these diseases. However, a major complication is graft-versus-host disease (GVHD) in which the gastrointestinal (GI) tract, skin, lung and liver are preferentially damaged by the transplanted donor immune system, limiting the therapeutic potential of this treatment. Thus, there is a pressing need for new treatment approaches to improve transplant outcome for …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Mental health disorders (e.g., depression, anxiety, substance use) are the leading cause of global disease burden in the young adult population. Twin and family studies show that both genetic and environmental factors play a large role in the aetiology of these disorders. The Translational Neurogenomics group aims to identify genetic risk factors for a range of mental health and substance use disorders, and investigate the interplay between genetic and environmental risk factors.UK Biobank is a major national and international health …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Genomics and Personalised Health

Institutions of higher learning are essential for supplying any economy with high-quality labour and innovations. Also, these institutions are crucial to actively achieving the objectives of inclusive and sustainable development. These organisations have adapted more inclusive and sustainable development practices over time; particularly, the leadership team now has a higher percentage of female members. Rarely is there literature on how adjustments to these strategies and leadership have an impact on institutional performance. This study fills in this knowledge gap to …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance

Dengue is a major mosquito-borne disease affecting 390 million people annually across 100 countries. Disease results from infection with dengue viruses, which are single positive-stranded RNA viruses in the family Flaviviridae. Defective interfering particles (DIPs) are virus-like particles with greatly reduced genomes that are byproducts of RNA virus replication and replicate only in the presence of standard virus (Vignuzzi and Lopez 2019, doi: 10.1038/s41564-019-0465-y). DIPs occur naturally during Dengue infection (Li et al. 2011, doi: 10.1371/journal.pone.0019447) and suppress DENV replication …

Study level

Master of Philosophy

Faculty

Faculty of Health

School

School of Biomedical Sciences

Conservation and land-use conflicts arise when people have different needs and interests concerning a protected area or land space. The management of these types of conflicts often has to broach disciplinary divides to ensure that appropriate consideration is given to the many complex and diverse issues that surround them, such as social justice, food production, biodiversity, the history of a place, and the attitudes and values of local stakeholders. The Law School invites students to express an interest in research …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Law

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 Teacher Education and Leadership

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

School

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Research centre(s)

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The challenge to keep global warming to 1.5°C above pre-industrial levels has become even greater due to a continued increase in greenhouse gas emissions (IPCC, 2023). One major challenge is the shift from fossil fuels to renewable energy to reduce emissions (Gholami et al., 2016). The share of renewable energy in electricity generation has increased to 28.3%, however, an acceleration of the pace of the transition is required to limit global temperature rise (REN21, 2022).In this project we investigate public …

Study level

PhD, Master of Philosophy, Honours

School

School of Information Systems

Research centre(s)

Centre for Data Science

Games have become an integral part of our lives, which is why they are increasingly being used for other purposes than pure entertainment, such as learning, training, informing, or advertising (Degirmenci, 2017). While gamification uses game elements in non-game contexts, serious games are full-fledged games, both aiming to create meaningful engagement and foster desired behaviours (Degirmenci, 2023; Degirmenci and Breitner, 2023).In this project, we investigate how gamification and serious games can help to encourage behavioural change in energy consumption to …

Study level

PhD, Master of Philosophy, Honours

School

School of Information Systems

Research centre(s)

Centre for Behavioural Economics, Society and Technology

High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …

Study level

Honours

School

School of Computer Science

Research centre(s)

Centre for Biomedical Technologies
Centre for Biomedical Technologies

Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. According to the World Health Organization (WHO), it is estimated CVD takes 17.9 million lives every year. In Australian, the statistical data from the Australia Heart Foundation shows CVD is a major cause of death in Australia. It occupies 26% of all deaths, responsible for an average 118 deaths every day. Four of the main types of CVD are coronary heart disease, strokes and transient ischaemic attack, peripheral …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science