Student topics

The uptake of electric vehicles is on the rise. This study undertakes a literature review of papers published on electric vehicles with a view to identify factors that influence their uptake and data sources. This information will then be used to develop a model to identify factors that are influencing the uptake of electric vehicles in Australia on a state basis and propose strategies that can further increase their uptake in the country. Policy implications of this new development in …

Study level

Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance

The number of Electric Vehicles (EVs) on the road is expected to reach 145 million by 2030. As the number of EVs on the road increases, the demand for energy to charge these vehicles also grows. Traditional charging infrastructure may not meet the increasing energy demands, which may lead to increased waiting time in those charging stations. The EV-EV trading scheme is a promising solution that allows EV owners to access additional energy from nearby EVs. This scheme has attracted …

Study level

Honours

Faculty

Faculty of Science

School

School of Information Systems

The human body is home to a vast ecosystem of microorganisms including bacteria, archaea, fungi, viruses, and bacteriophages that make up the human microbiota. These microbes and their collective genetic material, known as the microbiome, influence a wide range of physiological functions including nutrient production and absorption, the development and regulation of our immune system, protection against potential pathogens, and even our mood and mental health. While distinct microbial communities exist throughout the body, the gut microbiome has gained particular …

Study level

Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research

Permafrost thaw induced by climate change is predicted to make up to 174 Pg of near-surface carbon (less than 3m below the surface) available for microbial degradation by 2100. Despite having major implications for human health, prediction of the magnitude of carbon loss as carbon dioxide (CO2) or methane (CH4) is hampered by our limited knowledge of microbial metabolism of organic matter in these environments.Genome-centric meta-omic analysis of microbial communities provides the necessary information to examine how specific lineages transform …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research

Object-Centric Process Mining (OCPM) is an emerging paradigm in process analytics that addresses the limitations of traditional process mining by enabling the analysis of complex, multi-entity business processes. Unlike conventional approaches that focus on a single case notion (e.g., an order or a patient), OCPM allows for the simultaneous tracking and analysis of multiple interacting objects—such as orders, customers, products, and invoices—within a unified process model.This research project explores the theoretical foundations, algorithmic developments, and practical applications of OCPM. It …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Information Systems

Evidence-based teaching (EBT) refers to “the conscientious, explicit, and judicious integration of best available research on teaching technique and expertise within the context of student, teacher, department, college, university, and community characteristics” (Groccia & Buskist 2011). In practice, EBT involves educational practices derived from empirical data that show a well-established association with improved course grade, student feedback, and course-driven learning goals. Literature on EBT is growing but there is little on the impact of EBTs on students, academics as well …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Economics and Finance

There is currently broad agreement that likes and dislikes, including strong emotional responses such as fear and anxiety, are learned. However, little is known about the manner in which different forms of emotional learning interact or about how emotional learning once acquired can be modified, reduced or eliminated. In particular in the context of fear learning this is problematic as fear memories once acquired seem difficult to change and likely to return even after successful extinction – a phenomenon known …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Psychology and Counselling

In the case of cellular life - bacteria, archaea and eukaryotes - determining the 'tree of life' is a comparatively well-studied problem.This vertical evolutionary history can be estimated using concatenated gene phylogenies, where single copy marker genes are concatenated into a single multiple sequence alignment which is then used in a phylogenetic tree reconstruction algorithm.Viral genomes and plasmid sequences, meanwhile, are more challenging to fit into a phylogenetic framework.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Microbiome Research

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

In deep learning models, language models and word embedding methods have become popular to understand the context of text data. There exist many variants of these methods and have different limitations. This project will introduce you to the hot topic of language models and the fields of Natural Language Processing and Text Mining. 

Study level

Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

Extreme heatwaves and other extreme weather events are contributing to the fragility of cities and urban infrastructure, which requires urgent attention. Urban heat islands are an exemplar for metropolitan fragile areas, which exacerbate the impact of climate change and global warming on natural hazards, such as wildfires, storms, floods, and droughts, which pose a critical threat to Australian and international communities (Degirmenci et al., 2021). Decision support systems (DSS) can help city planners and policymakers to optimise their decision-making by …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Management

Research centre(s)

Centre for Future Enterprise

Almost 1 million Australians have lost their jobs and countless micro and small businesses have folded as a consequence of the COVID-19 pandemic. At the same time the pandemic has propelled innovation and new venture creation and given rise the ‘side hustle’, taking on an extra job for money. Side-hustles, supplemental income-generating work performed alongside full-time jobs, are increasingly common (Sessions, Nahrgang, Vaulont, Williams & Bartels, 2021).Technology has in part empowered and enabled people to market their skills and products …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Advertising, Marketing and Public Relations