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 88 matching student topics
Displaying 25–36 of 88 results
Cyber-security aspects of battery storage systems
Lithium-ion (Li-ion) batteries are a key energy storage component in various electrical and electronic systems such as mobile phones, electric vehicles and grid storage. A properly designed battery management system (BMS) is crucial to guarantee the safety, reliability, and optimal performance of the battery as well as to interconnect the battery systems with each other and external systems through communication channels. However, security threats of the Li-ion battery systems are often overlooked by BMS developers in the design phase. The …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
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Centre for Clean Energy Technologies and Practices
Multi-modal sentiment analysis
In deep learning models, language models and word embedding methods have become popular to understand the context of text data. Popular language models such as BERT have limitations in terms of the token length. There exist some corpora that have longer text with an average of 1000 tokens. Additionally, these corpora are text-heavy and only include some images.In our prior works, we have developed several multi-modality models on social media datasets.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Evaluation of language models and word embedding methods for natural language processing applications
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
Surprising genomes
Genomic sequencing has changed radically since the first public sequencing projects more than 25 years ago. The original human genome project cost more than two billion dollars; sequencing a human genome now costs as little as a thousand, and we may sequence whole viruses and bacteria as a matter of routine.The challenge now lies in rapidly analysing these genomes as they appear, and understanding quickly whether there is anything interesting in the new sequence to warrant further inquiry. This project …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Visualisation and sonification for genomic data sets
Successive revolutions in sequencing technology over the past two decades have led to an explosion in the availability of genomic data. Analysing biological datasets and identifying relationships within them is challenging - some of the process can be automated but interactive exploration offers a number of advantages, and supports serendipitous discovery.This project looks at visual analytics and sonification - the use of sound and musical encodings - to enhance our understanding of biological networks.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
An airway chip for screening viral infection mediated immune responses
Respiratory infections such as influenza, SARS-COV-2, , and MERS are increasingly prevalent. Complications and related deaths arising from these infections are often the result of a “cytokine storm”, whereby there is an over production of proinflammatory soluble factors by immune cells, which dictates symptoms severity and mortality risk [1]. Recent works showed that immunomodulatory therapy with or without antiviral agents may improve recovery outcome. However, the screening of suitable immune-modulatory and antiviral agents relies heavily on animal models which cannot …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Biomedical Sciences
Bayesian focused learning
Forecasting renewable energy production is crucial for ensuring stable and sustainable energy grids. Traditional approaches often involve a two-stage process: first, energy production forecasts are generated, then decisions, such as how much energy to produce from various sources (wind, solar, fossil fuels), are made based on those forecasts. This disjointed process, where forecast accuracy and decision-making optimization are treated separately, can lead to sub-optimal outcomes due to conflicting objective functions.The goal of this project is to bridge these stages by …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Making the most of many models
In the age of Big Data, machine learning methods, and modern statistics the adage "all models are wrong but some are useful" has never been so true. This project will investigate data science approaches where more than one model makes sense for the data. Is it better to choose a single model or is there something to be gained from multiple models?This project will look at variable selection methods, penalised regression, Bayesian model averaging and conformal prediction. The research has …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Targeting a novel adaptive neovascular response of the tumour microenvironment to treat advanced prostate cancer
Prostate cancer (PCa) is a significant healthcare burden in Australia. Androgen signalling inhibition using androgen receptor (AR) antagonists is the principal systemic therapy for advanced PCa. Androgen receptors (AR) are an attractive therapeutic target due to their elevated expression in tumour epithelial cells and the retention of androgen signalling throughout the disease continuum.However, patients eventually develop resistance to treatment, and PCa cells metastasise to distant bone and visceral organs, representing an incurable stage of the disease. Understanding mechanisms that contribute …
- Study level
- PhD, Master of Philosophy, Honours
- School
- School of Biomedical Sciences
Determining the response to PARP inhibitor treatment of ovarian cancer in mouse xenograft model
Our cellular DNA is constantly under threat from both exogenous and endogenous factors. DNA repair pathways function to maintain genomic stability, preventing deleterious mutations that may ultimately lead to cancer initiation. When a tumour forms, it becomes genetically unstable, allowing environmental adaptation. This genetic instability can also result in gene mutations and protein expression alterations that can be targeted to induce cancer-specific cell death (phenomenon also known as synthetic lethality). For example, it has been shown that cells deficient in …
- Study level
- Honours
- School
- School of Biomedical Sciences
Business model innovation
Business models are becoming an important focus of innovation activities of practitioners and innovation studies of academics.When organisations want to introduce new products or services or need to transform their existing products or services, a viable business model is a critical requirement for commercial success. For example, many internet services are provided for free and require providers to find alternative sources of revenue, such as advertisements or premium services.In addition, the innovation of the business model itself is often a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
Parameter identifiability for stochastic processes in biological systems
Stochastic models are used in biology to account for inherent randomness in many cellular processes, for example gene regulatory networks. Noise is often thought to obscure information, however, there is an increasing understanding that some randomness contains vitally important information about underlying biological processes.When applying these models to interpret and learn from data, unknown parameters in the model need to be estimated. However, not all data will contribute to a given estimation task regardless of the data quantity and quality. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
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