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 12 matching student topics
Displaying 1–12 of 12 results
Sensor network optimisation for illicit discharge detection in stormwater systems
Illicit discharges into stormwater networks threaten waterways, but current detection methods are often inefficient. This project develops a smart sensor network to identify and locate pollution sources in real time. The PhD will focus on:optimal sensor placement: algorithms for location, type, and density selectionreal-time alarm systems: fast, reliable detection to trigger inspections or robotic trackingscalability: cost-effective strategies for city-wide deployment.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Making seen what we can’t feel – wearable suns sensors for UV protection
Radiation exposure can be damaging, but at the right dose it can also have health benefits. An example, while ultraviolet (UV) light can cause skin damage and melanoma, it is also necessary for Vitamin D production. The key is knowing what dose we are receiving and when we have had too much. In this collaborative project with the School of Design, we are developing new wearable sun sensors that are sensitive to UV radiation, but also fashionable and desirable to …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Laser light sensors that see through containers
Raman scattering has been used as a powerful 'fingerprinting' technique for more than 80 years, and is widely used by security and law enforcement for detecting hazardous threats. To better safeguard the community, QUT has developed a unique eye -safe laser Raman sensing system for detecting threats, that works at distance from a target (> 10 m) and operates in real time. Increasingly however, threats are being concealed in order to avoid detection. This project will investigate what range of …
- Study level
- Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Where should we put our sensors? Designing smarter water quality monitoring networks
Water utilities and environmental agencies face a deceptively simple question: where should we put our sensors? In a piped stormwater network, the question matters because finding an illicit discharge quickly depends on having the right sensors at the right places. In an open creek or river, the question matters because spatial coverage, transport dynamics, and cost trade-offs all influence whether monitoring will actually answer the question being asked.Decisions about sensor placement are still often made on the basis of accessibility, …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Smart sensing for nutrients in our waterways: low-cost continuous monitoring for pollution tracking and real-time control
Nitrogen and phosphorus are central to the health of stormwater systems, rivers, wetlands, and lakes. They drive algal growth, oxygen stress, and downstream ecological impacts, and they are a key input to environmental reporting and catchment management. Yet most monitoring still relies on infrequent grab samples that miss the short pollution pulses that matter most.The challenge is delivering nutrient monitoring that is affordable, low-maintenance, and reliable enough for continuous deployment across many sites. Existing nutrient sensors are often too expensive …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
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
Organic thin film transistors for sensors, bioelectronic interfaces and bionics
Organic electronic devices are flexible, light weight and stretchable, which makes them an ideal candidate for integrating and interfacing with soft tissues in biological systems. An attractive attribute of organic electronic devices is the solution processibility of constituent layers, since solution-processable devices have the potential to be printed into complex designs and shapes, leading to integrated devices with multiple functionalities.Particularly, organic thin film transistors (OTFTs) have the potential to offer low cost, easy to use and printable sensors for a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
NHMRC Idea Grant: intergenerational living and learning models
This research project acts upon recommendations from the Inquiry into the Quality of Care and Residential Aged Care in Australia IQCRAC (2018) by developing an inter-generational model for senior living within school campuses in consultation with industry partners. The project differs from existing programs by establishing an economic policy-driven 'shared campus facilities and services' approach which is person-centred, health focused and socially inclusive. The model intends to be translatable across diverse Australian contexts, from urban realms where land is limited, …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Polymer particles as precision sensors for molecules
Polymer particles are a billion-dollar industry with a diverse range of applications from biomedical to industrial coatings. As a prime example, point-of-care testing devices rely on polymeric particles with various size and functionality to conveniently allow instantaneous, selective, and precise diagnostics. However, as new applications arise and current applications advance, these demand the preparation of increasingly complex material and particle systems.The Soft Matter Materials Team has developed a simple method to form uniform particles without any additives, initiators or stabilizers. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Cobot contact tasks through multi-sensory deep learning
Contact tasks like grinding, polishing and assembly require a robot to physically interact with both rigid and flexible objects. Current methods relying on force control have difficulty achieving consistent finishing results and lack robustness in dealing with non-linear dynamics inherent in how the material is handled. This project will take a new approach that detects and diagnoses the dynamical process through deep learning fusion of multi-sensory data, including force/tactile, visual, thermal, sound, and acoustic emission; and generate corrective process parameters …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Advanced artificial intelligence based ultrasound imaging applications
Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Clinical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Investigation of host tissue response to synthetic pelvic meshes in patients with complications
Pelvic organ prolapse (POP) is a prevalent disease affecting 37% of asymptomatic women. Pelvic mesh implantation is a common surgical procedure employed to treat stress urinary incontinence, rectal prolapse and pelvic organ prolapse. However, the use of pelvic meshes can cause complications such as erosion, infection, pain and discomfort, which sometimes require further surgery. In Australia, in November 2017, the TGA banned transvaginal mesh for prolapse. Currently, women with complications from their pelvic mesh may opt to have them surgically …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
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