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 477 matching student topics

Displaying 73–84 of 477 results

Continuous time samplers (MCMC at the limit!)

The goal of this project is to develop new continuous time Monte Carlo methods for efficient sampling from high-dimensional distributions. Continuous-time Monte Carlo methods are a class of algorithms that use continuous-time dynamics to generate samples from target distributions, rather than the discrete-time dynamics used in traditional Markov chain Monte Carlo (MCMC) methods. These methods have been shown to have faster mixing and better exploration of the state space, making them particularly appealing samplers for challenging distributions.The main objectives of …

Study level
PhD, Master of Philosophy, Honours
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

Evidence-Based Teaching in Economics and Business

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

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

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

Big Data ideas for GLMs

The goal of this project is to develop new Bayesian methods for large-scale data analysis using subsampling techniques. The focus of the project will be on generalised linear models (GLMs), which are commonly used models in statistics and machine learning.One of the main challenges in using Bayesian statistics with big data is the high computational cost associated with processing big datasets. The proposed project aims to address this challenge by developing new subsampling techniques for Piecewise Deterministic Markov Process (PDMP) …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Unlocking the Potential of Simplex-Truncated Distributions

This PhD project aims to develop new methods for generating random samples from a specific type of probability distributions called simplex-truncated distributions. These distributions are commonly used in various fields such as statistics, machine learning, and biology.The project will involve the development of new techniques to generate random samples from simplex-truncated distributions. These techniques are based on a method called continuous-time Monte Carlo which is a cutting edge method in statistics that can generate random samples from complex distributions.The main …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Identifying Indigenous contributions to knowledge

The Australian Census collects data every ten years to reflect who we are as a nation. But the data collected by the Census only tells part of our story.Indigenous people lived in Australia for thousands of years before the arrival of European settlers, accumulating a wealth of knowledge about Australia's land, climate, flora and fauna. Researchers have only begun tapping this knowledge as the basis for modern scientific research.This project will combine machine learning and text-analytics tools to develop a …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Reversing Epithelial Mesenchymal Plasticity with Eribulin to Enhance Therapy Response

Epithelial mesenchymal plasticity (EMP) is a highly regulated and powerful cellular process that is fundamental in embryonic development (1), which is hijacked by cancer cells for metastatic progression and therapy resistance in epithelial cancers (2). Eribulin is a microtubule-inhibiting cancer drug discovered in sea sponges and approved for 3rd line therapy in metastatic breast cancer, which was shown to reverse epithelial mesenchymal transition (EMT) (3).We hypothesise that eribulin’s reversal of EMT will sensitise breast cancer cells to other therapies and …

Study level
Master of Philosophy
Faculty
Faculty of Health
School
School of Biomedical Sciences

Low-cost portable Magnetic Resonance Imaging for clinical applications

The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics

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