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.

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Found 641 matching student topics

Displaying 145–156 of 641 results

Outdoor litter collection

Cleanup Australia day in 2019 collected 17,000 ute loads of rubbish from rivers, parks, beaches, roadways and bushland.  Imagine a robot ground vehicle or boat that could identify litter, plan the motion of the robot so that it can pick up items in the right sequence so that it doesn't have to stop, while also navigating obstacles in the environment. This is a challenging problem in perception, dynamic path planning and control.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

High-speed robotic waste separation

Sorting waste or recyclables is an important but unpleasant job, currently done by specialised machinery and humans for the hard bits.  What are the core challenges that could be done by "robots that see". This is a challenging problem in perception, dynamic path planning and control.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

Very high-speed dynamic motion planning for arm robots

Robot manipulator arms are increasingly used for logistics applications.  These typically require robots to run at the limits of their performance: motor torque and motor velocity.  Added challenges include significant payloads (if we are schlepping heavy parcels) with apriori unknown mass, the possibility of boxes detaching from the gripper under high acceleration, and fixed obstacles in the workspace.  How can we determine the limits to performance, quickly identify the payload mass, then plan the fastest path to get from A to B.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics

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

Basic aircraft collision risk modelling and visualisation

Aircraft collision risk modelling is complex yet key to ensuring safe air transport (both crewed and uncrewed aircraft). Different collision risk models are better suited to different airspace environments which means model comparison and evaluation is an important research problem. This project takes a deeper look into a specific collision risk modelling approach: gas models.

Study level
Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Optical coherence tomography imaging of arterial tissue

The sudden rupture of vulnerable atherosclerotic plaques and subsequent thrombosis formations are responsible for most acute vascular syndromes, such as myocardial infarction and stroke. Many victims who are apparently healthy die suddenly with no prior symptoms.Such deaths could be prevented through surgery or alternative medical therapy, if vulnerable plaques were identified earlier in their natural progression.While intravascular methods have been developed to visualize various features of vulnerable plaques, there is no single technique that can accurately predict plaque rupture in …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Cryptoarchitecture: architecture NFTs (non-fungible tokens)

This project will explore the application of Non fungible tokens NFTs to the architectural discipline specifically. It will do so with both intellectual and entrepreneurial goals.In light of today's highly liquid global financial markets, and the rise of intangible capital as the dominant form of corporate wealth (think Facebook, Google, Bitcoin), the property sector often seems like an anachronism. Land and buildings have historically been identified as the most fixed and tangible forms of capital. They have thus been difficult …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Architecture and Built Environment

Predicting player performance from one format to another in cricket

Identifying talent as early as possible in elite sport is critical. An important component of this is learning about what metrics of performance in lower grades to focus on to help predict performance in the top grade. This project will explore for this research problem for cricket.

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

The role of complex singularities in geometric flows

A popular topic in differential geometry involves studying the singularity structure of geometric flows. The most well-known example is mean curvature flow. In this example, surfaces evolve according to a flow rule that relates the speed of the surface to its curvature. Certain surfaces will evolve until singularities occur in finite time, and these singularities can be studied using similarity solutions and asymptotic analysis.In this project, a different perspective is applied to these problems, namely the use of complex variable …

Study level
Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences

Metal-free batteries

Chemical batteries are listed in the top 5 key energy technologies; ahead of others such as natural gas, wind turbines, hydrogen and electric motors. Our group is currently investigating the use of free radical containing polymers as avenues to produce environmentally friendly, lightweight and durable materials for the fabrication of printed carbon batteries or as a electrolytes in flow batteries.

Study level
PhD, Master of Philosophy, 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

Separating nonlinear optical effects in optical limiters

Optical limiting uses a medium’s nonlinear response to allow light at low intensities to be transmitted, but restricts transmission at high intensities so as to safeguard sensitive detectors including the eye. A popular nonlinear process used in optical limiters is two photon absorption where two high intensity light photons are simultaneously absorbed thereby reducing the light transmission through the medium. Unfortunately, in gold nanoparticle optical limiters a second nonlinear process can arise – saturated absorption which leads to an increase …

Study level
Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science

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