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.
Found 207 matching student topics
Displaying 193–204 of 207 results
Making predictions using simulation-based stochastic mathematical models
Stochastic simulation-based models are very attractive to study population-biology, disease transmission, development and disease. These models naturally incorporate randomness in a way that is consistent with experimental measurements that describe natural phenomena.Standard statistical techniques are not directly compatible with data produced by simulation-based stochastic models since the model likelihood function is unavailable. Progress can be made, however, by introducing an auxiliary likelihood function can be formulated, and this auxiliary likelihood function can be used for identifiability analysis, parameter estimation and …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Carbon markets
Carbon markets are recent social innovations of our modern economy. These national and international carbon markets are expected to play crucial roles in addressing climate change. There are many shortcomings of existing structures of the carbon markets. Rich literature discusses loopholes in these markets which undermine their ability to assist with global efforts of emission reduction and abatement. This project aims to discuss both theoretical and empirical issues relevant to these loopholes.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Economics and Finance
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Gender, leadership and performance in higher education industry
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
Making seen what we can’t feel – wearable suns sensors for UV protection
Radiation exposure can be damaging, but at the right dose it can also have health benefits. An example, while ultraviolet (UV) light can cause skin damage and melanoma, it is also necessary for Vitamin D production. The key is knowing what dose we are receiving and when we have had too much. In this collaborative project with the School of Design, we are developing new wearable sun sensors that are sensitive to UV radiation, but also fashionable and desirable to …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Unleashing the full potential of terminators for the regulation of gene expression in plants
Ultimately, the proper development of a plant and its ability to adapt to its environment is the result of how plants’ genes are expressed and interact with each other. Hence, it is of extreme importance to understand the mechanisms used by plants to regulate gene expression.Modification of the expression pattern of a gene is particularly important in modern biology. By changing the expression levels of a gene, it is possible to learn about its function, increase the production of a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Exploring the effects of interactions with intelligent agents in immersive systems
This research project aims to investigate the effects of interactions with intelligent agents on player experiences in various contexts, including videogames, learning-teaching, and complex data analysis. The intelligent agents will be developed using ChatGPT as a backend, and the studies will be conducted in both single-player and multiplayer settings, utilizing virtual and augmented reality technologies.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Enhancing women's belongingness in esports and gaming communities
This research project aims to investigate the experiences and needs of women involved in esports and gaming communities at QUT. Through observations and interviews with participants, the study aims to gain insights into improving women's sense of belongingness in these communities. The ultimate goal is to provide recommendations for university esports administration and contribute to academic publications on gender inclusivity in esports.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Mathematical modelling of spatial plant patterns in a sub-Antarctic island
Various spatial patterns naturally emerge in ecology. These include stripes, spots, hexagons, and donuts, to name just a few. However, it can be puzzling to figure out how these patterns form.Systems of partial differential equation models can be used to simulate these patterns, and thereby provide ecologists with testable hypotheses for how these patterns formed.
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Women returning to construction after career interruptions
The architecture, engineering, and construction (AEC) industry is known to have a fast-paced and demanding working environment. Companies operate in a competitive market with tight project deadlines. The stringent work environment is perceived as one of the main barriers in career progression for women and can be challenging for women to return to work after career interruptions.This project focuses on three big questions:What are the types of career interruption?What motivates women to return to work in the AEC sector?Do these “return-to-work” policies/work practices work?
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
A mathematical model of disrupting cell-to-cell communication by bacteria
The emergence of resistance of bacteria to antibiotics presents a global healthcare challenge that intensifies the search for strategies to increase the effcacy of therapy. Several mechanisms are involved in resistance of bacteria against antibiotics such as mutations in genes, horizontal gene transfer, and biofilm formation. Bacteria can communicate with each other through production and response to local concentration of small molecules called autoinducers.This mechanism is called quorum sensing (QS).It has been suggested that QS can influence the resistance of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Basic aircraft collision risk modelling and visualisation
Aircraft collision risk modelling is complex yet key to ensuring safe air transport (both crewed and uncrewed aircraft). Different collision risk models are better suited to different airspace environments which means model comparison and evaluation is an important research problem. This project takes a deeper look into a specific collision risk modelling approach: gas models.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Physics-informed machine learning
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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