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
Technology, Innovation and Health
Professor Belinda Bennett is interested in talking to students who wish to undertake research on legal issues related to technology, innovation and health, regulation of innovative health technologies, legal issues related to genomics, the use of artificial intelligence in health care, and the use of robotics in health care.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Trust formation in generative AI–supported mental health Services
Generative Artificial Intelligence (GenAI) tools such as chatbots and AI companions are increasingly positioned as accessible forms of mental health support. However, user engagement with these services depends heavily on trust, particularly in contexts characterised by vulnerability, stigma, and emotional risk. Trust in mental healthcare differs from trust in other service settings, raising important questions for marketing and service researchers.This project investigates how trust is formed and evaluated in GenAI‑supported mental health services from a consumer and service marketing perspective. …
- Study level
- Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
Wearable futures: designing next-generation devices for Parkinson's disease
More than 10M people worldwide suffer from Parkinson’s disease (PD). As a neurodegenerative disease it is difficult to manage with adult-onset and slow progression with both both motor (walking problems, slowed movements, tremors, etc) and non-motor (anxiety, depression, cognitive decline, etc) symptoms. Current treatments focus on symptoms and clinical assessments based on intermittent, subjective evaluations with a 20 minute visit to a neurologist every six months. This cannot capture the daily fluctuation of symptoms effectively. Non-motor symptoms remain under-assessed and …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
Design Lab
Automation/RPA in Healthcare
Investigate the potential applications of RPA/ Process Automation in the healthcare sector. Explore how RPA/Process Automation can streamline administrative tasks, improve patient data management, enhance healthcare delivery processes, and support clinical decision-making. Address the challenges and opportunities of implementing RPA in highly regulated environments like healthcare.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
Identifying AI-amenable tasks in the patient care workflow and matching enabling AI technologies
Contemporary patient care is delivered through complex, multi-step workflows that span triage, assessment, diagnosis, documentation, care coordination, treatment, and follow-up. Many steps in these workflows are repetitive, cognitively burdensome, or prone to delays and errors, and a substantial share of clinicians' time is consumed by tasks that require limited clinical judgement, such as documentation, information retrieval, and administrative coordination. Persistent workforce shortages, rising demand, and clinician burnout have intensified interest in whether some of these tasks can be safely delegated …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Data Science
Bridging the gap: leveraging AI to improve healthcare access
Access to quality healthcare remains a significant challenge in many parts of the world, often due to geographic and financial barriers. This research explores how artificial intelligence (AI) can address the challenges of geographic and financial barriers in accessing healthcare. The project will focus on developing AI-powered solutions that enhance healthcare delivery, increase patient engagement, and reduce costs
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
My flow: Menstrual cycle Femtech for elite athlete performance optimisation through wearable technology
There is a need for additional studies to monitor on-field performance parameters in female elite athletes (Meignié 2021). We know that wearable sensors can be used to monitor the physiological and biochemical profile of athletes (Seshadri 2019), and a combination of several wearables is going to be more effective for accessing all relevant parameters (Düking 2016). However, there is limited research on the effects of menstrual cycle phases on elite athlete performance (Meignié 2021).This proposed research aims to bridge the …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Elevating performance: Innovative design strategies for body-worn (diagnostic or biosensing) devices
How does technology help us to support a person’s sense of wellbeing and/or performance? Beyond technology and metrics, how do a body-worn (electronic/biosensing) device be designed to fit the person in different contexts of use and different performance needs? We are investigating the role of designing with sensor technology (sensor technology agnostic) in body-worn devices from a Human Centred (HCD) lens, and Research through Design (RtD) approach.In today's fast-paced world, the pursuit of optimal human performance has become a paramount …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Transforming home healthcare: leveraging technology for enhanced people experience
People with chronic illnesses face numerous challenges when it comes to caring for their health at home. The daily management of symptoms, medication adherence, and self-care routines can be physically and mentally demanding, requiring significant effort and discipline. Additionally, limited access to direct medical supervision, medical equipment, resources, and support may lead to difficulties in monitoring symptoms and seeking timely medical attention, further adding to the burden of self-care.From a human-centered design perspective, technology enhances the home healthcare experience through …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Unveiling the explainability imperative in medical AI
As AI systems become increasingly prevalent in medical applications, the need for explainable AI (XAI) has become crucial. This research investigates the critical issue of explainability in medical artificial intelligence (AI) systems. This project investigates methods for improving the interpretability and transparency of AI models used in medical diagnosis, treatment planning, and prognosis prediction. Understanding the reasoning behind AI-driven decisions is essential for building trust among healthcare professionals and ensuring patient safety.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
The use of chatbots for mental healthcare and emotional wellbeing
According to the World Health Organization, depression is the leading cause of disability, with 300 million globally suffering from it while fewer than half of those affected receive treatment. New Apps aim to help users manage their mental state, from meditation apps to more therapeutic platforms like Joyable. And a new Facebook Messenger chatbot called Woebot tries to help people with depression and other mental disorders through education and mood tracking. The focus of this research is to investigate consumers’ …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
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