Student topics

This project is about using neural network models help us understand Anti-Microbial Resistance (AMR), a phenomenon in which bacteria adapt to reduce the effectiveness of antibiotics, usually through a process known as Lateral or Horizontal Gene Transfer - where genes are included in the organism from other sources.Our focus will be on learning compact vector representations of biological sequences known to be associated with AMR genes. By encoding DNA sequences in this way we can more rapidly identify AMR genes …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Computer Science

Research centre(s)

Centre for Data Science

Board interlocks research is one of the most vibrant areas in corporate governance research. A board interlock is a tie created by two firms sharing a common director. In other words, a director can hold multiple directorships in more than one firm. Board interlocks reflect complex inter-organisational relationships which play an important role in determining a firm’s strategies and structures.Prior research finds that board interlocks have an impact on reducing environmental uncertainty, gaining access to diverse and unique information, diffusing …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Business and Law

School

School of Accountancy

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

Faculty

Faculty of Science

School

School of Information Systems

Research centre(s)

Centre for Data Science

Bone is a dynamic tissue that optimises its shape to the mechanical loads that it carries. Bone mass is accrued where loads are high, and reduced where loads are low. This adaptation of bone tissue to mechanical loads is well-known and observed in many instances. However, what serves as a reference mechanical state in this shape optimisation remains largely unknown.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Biomedical Technologies

The textile industry is one of the world’s largest, with global sales in 2016 of USD 1.5 trillion. It is also one of the most polluting industries, producing 20% of global wastewater, and contributing to 10% of carbon emissions. Fashion generates large amounts of waste, and has negative social and health impacts for workers.Circular economy would address these issues, keep clothes and textiles at their highest value and keep clothes in continuous circulation. The transformation of the sector requires a …

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

Neglecting to incorporate physics information into world models for reinforcement learning leads to reduced adaptability to dynamic and complex environments and overall learning outcomes.In this project, we endeavour to develop and implement learnable models in reinforcement learning (RL) based on graph neural networks (GNNs). These models will integrate object and relation-centric representations to enable accurate predictions, strong generalization, and system identification in complex, dynamical systems. Additionally, we will focus on leveraging extensive world knowledge or physics information to refine representations …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Artificial intelligence (AI) is driving transformation across all areas of society today. An umbrella term encompassing a range of technologies both sophisticated and simple that are used to make predictions, inferences, recommendations, or decisions with data. AI is used in many products and services that people use, interact with, or are impacted by every day. It already in place of local government and assisting government officials in providing services effectively and conduct their activities more efficiently to the public. The …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Deep learning is a mainstream to increase the capability of industry systems, particularly for those with massive data input and output. It is seen that many tools are now claimed to be freely available and could facilitate such process of development and deployment significantly with scalability and quality.However, limited attention has been on developing reproducible and productive workflows to identify the tools and their values towards large-scale industry systems. In this project, we will explore how to design such a …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Science

School

School of Computer Science

Osteosarcoma (OS) is the most common malignant bone tumour that primarily affects children and adolescents. With approximately 400 diagnosed cases/year in Australia, OS has the lowest survival rate of all solid cancers and is the leading cause of cancer-related death in Queensland adolescents. Unfortunately, 3 in 4 patients will not survive longer than five years following diagnosis with metastatic OS. Clinical “one size fits all” treatment strategies results in highly variable and unacceptably poor patient responses. Shockingly, both the OS …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Biomedical Sciences

Research centre(s)

Centre for Biomedical Technologies

Injury is a major contributor to mortality, morbidity, and permanent disability, and imposes a significant burden on the Australian health system. A better understanding of the burden, models of care, and economic drivers of injury will help design cost-effective injury prevention and treatment strategies to minimize the incidence and burden of the disease while improving injury outcomes.

Study level

PhD

Faculty

Faculty of Health

School

School of Public Health and Social Work

Research centre(s)

Centre for Healthcare Transformation
Australian Centre for Health Services Innovation

Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as energy, transportation, manufacturing, healthcare. Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.This PhD project will develop engineering science and methods for the analysis and design of CPS operating in closed loop. Your research will bring together elements of control systems engineering, as …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Antarctic ecosystems are complex, and data is limited since it is expensive to collect. Species interact in food webs which can be modelled as mathematical networks. The relationships between species are not always known, or we might know they interact but not how strongly. Noisy (or imperfect) data can be used to model these species interactions to give more certainty about how the ecosystem works as a whole – although the worse the data is, the less information it contributes. …

Study level

Honours

Faculty

Faculty of Science

School

School of Mathematical Sciences

Research centre(s)

Centre for Data Science
Centre for the Environment