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 11 matching student topics
Displaying 1–11 of 11 results
Automated abnormality detection in endoscopy data
The project focus on developing an artificial intelligence system for automated abnormality detection of endoscopy data. Developing a model for abnormality detection would leverage the capacity to aid medical practitioners in precisely detecting abnormalities by reducing the mistakes that happen via human error. This project will develop an image-based method using deep learning techniques to perform the classification of various abnormalities that can occur within the gastrointestinal tract, such as ulcerative colitis, esophagitis etc.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
AI-Based Data Analysis on Multiple Imaging Modalities
Cardiovascular disease (CVD) is the leading cause of morbidity and mortality globally. According to the World Health Organization (WHO), it is estimated CVD takes 17.9 million lives every year. In Australian, the statistical data from the Australia Heart Foundation shows CVD is a major cause of death in Australia. It occupies 26% of all deaths, responsible for an average 118 deaths every day. Four of the main types of CVD are coronary heart disease, strokes and transient ischaemic attack, peripheral …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Machine learning for understanding and predicting behaviour
Understanding behaviour and predicting events is a core machine learning task, and has many applications in areas including computer vision (to detect or prediction actions in video) and signal processing (to detect events in medical signals).While a large body of research exists exploring these tasks, a number of common challenges persist including:capturing variations in how behaviours or events appear across different subjects, such that predictions can be accurately made for previously unseen subjectsmodelling and incorporating long-term relationships, such as previously …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
PSYC03 - Predicting the present: investigating motion extrapolation mechanisms in the human brain
It takes time for our brains to process the signals coming from our eyes. Without compensating for this delay, we would be unable to perceive and interact with objects in real-time. For example, assuming a delay of just 70 ms (less than a 10th of second), a professional tennis player facing a 190 km/h serve should see the ball 3.6 m behind its true position. So how, then, can they accurately hit it? The aim of this project is to …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Health
- School
- School of Psychology and Counselling
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, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Artificial Intelligence for collaborative and intelligent user interfaces
This project seeks to leverage recent advances in machine vision and natural language processing algorithms to support the design and development of knowledge-driven applications that support communication and collaborations with their users.One particular area where this will be investigated is in workplaces for supported employment, that is employment opportunities for people with intellectual disability. One of the questions to address is how machines could respond to what a user shows them in order to assist with decision making in a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer 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, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Accuracy of measuring surface roughness using image processing
Our team’s research focusses on developing antibacterial and antiviral surfaces for various applications such as orthopaedic and dental implants, general surfaces such as lift buttons, handrails, taps, switches, benches etc. These antibacterial and antiviral surfaces are generated on a variety of materials using various techniques such as hydrothermal synthesis, electron beam lithography, anodization and wet etching. By implementing these surfaces on implants, medical devices, surgical tools and general hospital surfaces, we can reduce the spread of infection, saving lives. Surface …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Real-time monitoring and controling of next-generation food processing system
Drying is one of the major processes in the food industry and is a dominant food preservation method. However, current food drying systems are highly energy-intensive lengthy processes and result in significant food quality deterioration. Fruit and vegetables (FV) have heterogeneous structure with hygroscopic characteristics, which undergo significant modification during drying due to simultaneous heat, mass and momentum transfer. On the other hand, deformation of food material significantly affect the heat and mass transfer phenomena. Therefore, proper prediction of deformation …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Development of a microfluidic sample processing integrated robot (micro SPIN-R)
Microfluidic devices are increasingly relied upon to address the complexity of in-vitro disease models that are intended to mimic and provide insight into in-vivo processes and reactions to novel therapies and in turn, can become powerful companion diagnostic devices essential for predicting and individual patient’s reaction to a particular treatment. However, as these microfluidic devices become more and more prominent and necessary for addressing the drug screening and disease modeling needs of the industry, we have observed a lack in …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Why do epithelial cells have antigen processing machinery?
Epithelial Cells (ECs) constitute the border between the host immune system and an environment teeming with inhaled antigens. Work from us and others has highlighted that ECs have the ability to express the antigen processing and presentation machinery, Major Histocompatibility Complex class II (MHC II) that is important in initiating immune responses. MHC II expression and function on mucosal epithelial cells, is not well understood.Whilst MHC II is expressed by ECs, and is altered with inflammation, there is a paucity …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Contact us
If you have questions about the best options for you, the application process, your research topic, finding a supervisor or anything else, get in touch with us today.