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 488 matching student topics
Displaying 433–444 of 488 results
Developing and evaluating an evidence-based and practical system approach to reduce surgical site infections
A surgical wound is an incision in the skin that is made during a surgical procedure and generally expected to heal within two to four weeks by primary intention in an orderly manner through the normal wound healing process. However, this process can be disrupted by many factors, leading to complications such as wound dehiscence, non-healing wounds, surgical site infections and sepsis. On average, there are 11 surgical wounds infected for every 100 surgical wounds and these surgical site infections …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Nursing
- Research centre(s)
- Centre for Healthcare Transformation
A sense of touch for robots
Touch, or awareness of contact, is one of the key challenges in robotics, particularly in the soft and highly deformable environment of the human body. This project will explore the development and use of interferometric filters to quantify contact pressures through spectral changes in reflected light. Thus a quantitative 'image' of force may be created to both characterise and guide robot-tissue interactions.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Dual mode ultrasonics
This project develops a new approach to ultrasonic sensing, sending and receiving high frequency acoustic pulses from a low frequency platform to modulate spectral content and microscale spatial offsets. In doing so, it will give surgical robotics platforms access to the rich array of physical information in acoustic pulses, which can be used to characterise tissues encountered during surgery and guide the robot in the intervention itself.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Active stroke rehabilitation orthotic
An active stroke rehabilitation orthotic is needed to assist the multitude of people affected by stroke each year. Several prototype hardware systems have been constructed, so we know the concept is feasible. Development for medical approval and manufacture is needed. Plus, artificial intelligence that adapts the rehabilitation strategies to help users
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
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
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
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Achieving a sub-micrometer surgical robot end-effector via hybrid sensing
When operating with a tool within the human body in the context of a medical procedure, it is crucial to be able to keep track of the pose of the tool. This project will develop a hybrid approach to end effector pose estimation by combing optical tracking with other sensor inputs (e.g. force, sound, acoustic emissions) to compliment and improve tracking accuracy with applications towards orthopaedic surgical robots. This project is part of a broader collaboration with industry partner Stryker.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Hierarchical forecasting: forecasting a collection of time series
Hierarchical forecasting is a method used to generate forecasts at multiple levels of aggregation within a structured hierarchy. This technique is particularly valuable in situations where data can be organised into a hierarchy based on different dimensions, such as geography, product categories, or time. The approach ensures that forecasts at the top levels (e.g. total sales) align with forecasts at the lower levels (e.g. regional or product-level sales), creating a coherent and consistent forecasting process across the entire hierarchy.In many …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
The human factors in self-service technology
Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …
- Study level
- PhD, Master of Philosophy
- School
- null
- Research centre(s)
- null
null
Exploring organisational culture and employee change attitudes in nonprofit human service organisations.
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Management
Scene Understanding for Underwater Imagery
Underwater ecosystems, including coral reefs and seagrass meadows, play a critical role in maintaining marine biodiversity, providing coastal protection, and supporting fisheries and tourism economies that millions depend upon globally. These habitats are increasingly vulnerable to climate change, pollution, and other anthropogenic impacts, demanding urgent efforts to monitor and restore them. Accurate scene understanding of underwater imagery enables fine-scale ecosystem monitoring across spatial and temporal scales, supporting essential activities such as habitat and biodiversity assessment, validation of aerial and remotely …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Metal halide perovskite solar cell performance based on impurity profiles from Australian sourced precursor materials
Australia has the potential to lead globally in supplying precursor materials for next-generation metal halide perovskite solar cells, leveraging its abundant critical minerals and strong mineral processing capabilities with an innovative "mineral to precursor to final product" strategy.This project will demonstrate the performance of next-generation metal halide perovskite solar cells using Australian sourced materials, complimented with computational modelling to understand the elemental interactions of any impurities.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
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