QUT offers a diverse range of student topics for Honours, Masters and PhD study. Search to find a topic that interests you or propose your own research topic to a prospective QUT supervisor. You may also ask a prospective supervisor to help you identify or refine a research topic.

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Found 494 matching student topics

Displaying 445–456 of 494 results

Process Mining Infrastructure In Haskell

In process mining, sequence analysis algorithms are used to discover computational models of process data, and to analyse them. The insights from these models and analysis then improve the processes in organisations in many real-life domains - from manufacturing, to government, to healthcare. Haskell is a powerful functional programming language well suited to problems involving formal reasoning and pattern matching. This project would advance process mining research by building high-quality, high performance libraries in Haskell for fundamental process mining activities …

Study level
Honours
Faculty
Faculty of Science
School
School of Information Systems

Advanced numerical modeling to study dust deposition mechanisms on photovoltaic panels for the agrivoltaic industry.

The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2 degrees Celsius. In conjunction with the rising demand for clean energy production, the global agricultural industry needs to keep pace with rising food demand which is expected to increase by 50% by 2050 to feed over a projected 10 billion people. The scarcity of fertile …

Study level
PhD, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Improving language outcomes in people with epilepsy

Epilepsy is a serious and debilitating condition which is grossly under-researched despite the devastating impact it can have. Damage to the vast language processing network of the brain during surgical resection can cause aphasia, a devastating communication disability. This project aims to determine reliable pre-surgical mapping and outcome predictors in epilepsy resection: To 1) develop a reliable and comprehensive battery to map the language network in pre-surgical epilepsy patients with different foci, and 2) assess how the reorganisation of the …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Clinical Sciences
Research centre(s)
Centre for Biomedical Technologies

Characterizing effects of radiation therapy in 3D bioengineered cancer models

Radiation therapy (RT) is one of the most commonly used modalities in cancer treatment, usually delivered in combination with surgical intervention, chemotherapy, and immunotherapy.However, clinical outcomes show that almost 20% of patients fail to achieve targeted outcomes because of inherent resistance to radiation. This necessitates in-depth understanding of radiation resistance mechanisms using relevant preclinical models of RT. Previous in vitro studies have predominantly used two-dimensional (2D) cell culture models that do not recapitulate the three-dimensional (3D) complexity of native tissues.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Designing distanced intergenerational interaction with tangible technology

This project aims to address the urgent problem of isolation, dislocation of families by distance and lack of 'intergenerational closeness' by developing ways to build stronger bonds between geographically distributed families using tangible, embodied and embedded interfaces (TEIs). TEIs combine physical artefacts and digital information, allowing interactions across a variety of spaces, and in combination with other activities and experiences.

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Development of a machine learning algorithm for high throughput cell response data in drug therapy

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
Faculty
Faculty of Engineering
School
School of Computer Science
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

Novel algorithms for microbiome data

Metagenomics data is complex, high-volume data and keeps evolving, requiring novel computational method development as the wetlab approaches changes and databases grow. Thus, novel computational methods are required to take advantage of them.There are several potential projects under this topic, including:using deep learning to improve metagenomics assemblydeveloping better tools to analyse the presence of resistance genes in metagenomics datadeveloping approaches for estimating the quality of genomes from novel generation sequencespredicting the function of small sequences using more than just sequence.Interested …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Health
School
School of Biomedical Sciences
Research centre(s)

Centre for Microbiome Research

Evaluating Navicare to improve mental health service access in regional Australia

Improved access to appropriate and timely mental health care for people in outer regional and remote areas is needed in Australia where people are disproportionately affected by severe mental health conditions. Navicare is a model of care co-designed and piloted with communities and service providers and implemented in 2021 to address this issue. In 2022 national funding from National Health and Medical Research Council was obtained to evaluate the implementation of Navicare in three new communities in Central Queensland in …

Study level
Honours
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

Tailoring novel separator for high performance aqueous zinc metal batteries

Developing sustainable and clean energy sources (e.g., solar, wind, and tide energy) is essential to achieve the goal of carbon neutrality. Due to the discontinuous and inconsistent nature of common clean energy sources, high-performance energy storage technologies are a critical part of achieving this target. Aqueous zinc metal batteries with inherent safety, low cost, and competitive performance are regarded as one of the promising candidates for grid-scale energy storage. However, zinc metal anodes with irreversible problems of dendrite growth, hydrogen …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

Understanding urban complexity for climate resilience

Addressing the urgent need for community resilience amid escalating climate risks, including floods, extreme heat, and bushfires, is crucial for burgeoning cities. These cities comprise intricate networks of social, ecological, physical, and technological subsystems with structural and functional interdependencies. Understanding this complexity is vital for evaluating a city's resilience to climate risks and formulating effective policies and planning strategies. By applying complexity science principles, researchers can illuminate the dynamic relationships within these networks, revealing opportunities for sustainable urban development and …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment
Research centre(s)

Centre for the Environment

Climate equity in multi-hazard vulnerability assessments

The increasing frequency and intensity of extreme weather events, such as intense heatwaves, floods, and bushfires, is triggering disruptive disasters that have a significant impact on communities, ecosystems, and economies. While our national climate change adaptation strategy places a paramount focus on enhancing community resilience, it is crucial to recognise that not all communities face climate risks in the same manner. Diverse communities exhibit varying capacities to respond and adapt to distinct climate hazards. This reality underscores the imperative for …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment
Research centre(s)

Centre for the Environment

Investigating integration of climate change adaptation policies across government levels

Climate change poses an unprecedented global challenge, and its impact is profoundly felt at the local level. The pressing need for effective adaptation strategies requires a nuanced understanding of how local governments navigate and integrate policies at various administrative tiers. Our research project delves into the pivotal question of how local governments align with regional, state, and national climate change adaptation policies, offering a crucial lens into the challenges and opportunities that emerge at the intersection of policy and planning.This …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

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