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 7 matching student topics
Displaying 1–7 of 7 results
Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students
Enhancing the quality of teaching in Universities: Measuring the impact of professional development and recognition schemes (such as HEA Fellowship) on University Educators and Students
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Teacher Education and Leadership
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
Deep Learning for engineering object recognition
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Implicit representations for place recognition and robot localisation
This project will develop a novel localization pipeline based on implicit map representations. Unlike traditional approaches that use explicit representations like point clouds or voxel grids, the map in our project is represented implicitly in the weights of neural networks such as Neural Radiance Fields (NeRF). You will get a chance to develop a new class of localization algorithms that work directly on the implicit representation, bypassing the costly rendering step from implicit to explicit representation. The designed algorithms will …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Sun-guided localisation: harnessing absolute direction for advanced visual place recognition in robotics
The significance of positioning and localisation systems in robotics is well-established. Visual place recognition (VPR) enables robots to localise themselves visually, facilitating navigation and decision-making without relying on satellite systems, which can be unavailable indoors and unreliable in densely built areas.This project aims to enhance the VPR process by incorporating supplementary information to simplify the place recognition problem. We will investigate the use of an additional network head that predicts the absolute direction of an image, potentially serving as supplementary …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Deep learning for next-generation visual place recognition: sequence matching in robotic navigation
Are you interested in contributing to the advancement of robotics and navigation systems? In this VRES project, you will explore the cutting-edge field of visual place recognition (VPR).In both human and robotic navigation, understanding our location is essential for various tasks, such as obtaining resources, commuting, and socialising. The future of robots and augmented reality devices depends on reliable localisation systems. VPR is a critical aspect of robotics that allows for navigation and decision-making without relying on satellite systems, which …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
NURS05 - Recognising the registered nurse’s educator role in clinical nursing practice: a scoping review
An important role for the Australian registered nurse (RN) is meeting the educational needs of patients in their care. Classically the nurse’s educational role has been linked to nursing practice activities such as discharge planning, health promotion and empowering the patient to make informed choices in relation to their health care.More recently however, clinical models of practice such as preceptorship, mentorship, advocacy, delegation and team leadership roles have also been recognised for their educational components within the clinical practice environment. …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Health
- School
- School of Nursing
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