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 14 matching student topics
Displaying 1–12 of 14 results
Auslan Technologies
Auslan is the sign language used by the Australian Deaf community. New technologies have the potential to support Deaf people in a wide variety of ways, including:translating information into Auslanrecognising Auslan signingproviding resources and tools to support Auslan learners.But these technologies should be designed in partnership with the Deaf community, who are the native users and custodians of the language.This project offers opportunities for students to explore the intersections of technology and sign languages. Specific topics should be discussed with …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Psycholinguistics and the neurobiology of language
Language is essential for human communication. However, there is still a lack of clarity about how the brain attains language. This knowledge is critical for understanding both healthy and disordered language production and comprehension (aphasia). Hence, there is a need for further exploration using psycholinguistic and neurolinguistic (neuroimaging, electrophysiology and brain stimulation) techniques.
- Study level
- PhD
- 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
- 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
Unified def-site and use-site security policies for component-based software systems
Securing the information manipulated by computer systems, such as privacy and integrity in social software, is a challenge. Traditional methods to impose limits on the information disclosure, such as access control lists, firewalls, and cryptography, provide no guarantees about information propagation. For instance, cryptography provides no guarantees about the confidentiality of the data are given once it is decrypted.Information flow control (IFC) is the problem of ensuring secure information flow according to specified policies within computer systems. Modern applications are …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Supporting boundary management in young people's AI companion interactions
We invite applications for Honours research within an interdisciplinary research team examining how young people engage with AI companion chatbots (e.g., Character.AI, Replika) and how they manage risks and boundaries in these interactions.AI companions have grown in popularity since the COVID-19 pandemic and are increasingly used by young people seeking connection. This trend raises important concerns, including exposure to harassment, misinformation, and self-harm, as well as the potential impact on human relationships when reliance on AI companions becomes significant.This project …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Enhancing 3D visual understanding through multimodal data fusion
The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
AI to support customised interactive social robot applications
This project aims to investigate the opportunities of using AI-enabled robot technology, such as humanoid robots, to enhance the employability of people with intellectual disability (ID). We propose that access and retention in employment can be enhanced with learning technologies that can support people to acquire, practice, and maintain job-related skills while creating socially inclusive workplaces. Humanoid robots are being marketed for supporting people with practical tasks in homes and workplaces . As a type of social robot, they have …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Robotics
Design Lab
Social robot experiences for people with intellectual disabilities to learn, practice and use work skills
This project aims to investigate the opportunities of using AI-enabled robot technology, such as humanoid robots, to enhance the employability of people with intellectual disability (ID). We propose that access and retention in employment can be enhanced with learning technologies that can support people to acquire, practice, and maintain job-related skills while creating socially inclusive workplaces. Humanoid robots are being marketed for supporting people with practical tasks in homes and workplaces . As a type of social robot, they have …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Robotics
Design Lab
Acceptance and adoption of ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we ensure the social acceptance and support the adoption of ambient assistive technologies?Technologies that support independent living are about much more than fulfilling a particular task. They alter how people perceive themselves and how they engage with others. Students in this project …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Respectful ambient interactions with vision-based assistive technology
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we design respectful ambient interactions that balance assistance and privacy?Students in this project will develop a method and theory of interactive intent for people with cognitive disabilities. The theory will be established through an exploration of the new types of interactions made …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
Co-designing ambient assistive technologies
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.How can we engage people of all abilities in co-designing ambient assistive technologies?Participation in design is often defined on a spectrum where stakeholders can be categorised as simple informants (surveyed at the start of a project), evaluators (involved in trial iterations of a design), …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Computer Science
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