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 145 matching student topics
Displaying 37–48 of 145 results
Investigating integration of climate change adaptation policies across government levels
Climate change poses an unprecedented global challenge, and its impact is profoundly felt at the local level. The pressing need for effective adaptation strategies requires a nuanced understanding of how local governments navigate and integrate policies at various administrative tiers. Our research project delves into the pivotal question of how local governments align with regional, state, and national climate change adaptation policies, offering a crucial lens into the challenges and opportunities that emerge at the intersection of policy and planning.This …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Better bus stops for climate, context, and community
Bus stops are crucial touch points for a public transport system, and have the potential to impact human health and wellbeing, as well as rider experience. As a ubiquitous aspect of the urban fabric within a city, bus stops impact the character and function of the streetscape and their design can impact people’s experiences within the public realm. Yet their role in shaping everyday places is usually neglected and is under researched. In addition, with increased temperatures and extreme weather …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Supercapacitor with 2D vertical heterostructure electrodes
Supercapacitor is a promising energy storage device with advantages of high power density, fast charging/discharging rate and long cycling life. However, the energy density of supercapacitor is relatively low as compared to that of other devices such as lithium-ion battery. To improve the energy density, new electrode materials including graphene and metal oxides have been explored for supercapacitor electrodes.Two-dimensional (2D) heterostructures recently offered a compelling solution to enhance the performance of supercapacitors by combining more than one components into a …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Enhancing 3D visual understanding through multimodal data fusion
The demand for 3D scene understanding through point clouds is rapidly growing in diverse applications, including augmented and virtual reality, autonomous driving, robotics, and environment monitoring. However, the field faces challenges due to limited data availability and predefined categories. Training deep 3D networks effectively for sparse LiDAR point clouds requires significant amounts of annotated data, which is both time-consuming and expensive. Building on the advancements in 2D models that leverage the power of image and language knowledge, our project aims …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Re-localisation in natural environments
Re-localisation in robotics involves the process of determining a robot's current pose, consisting of its position and orientation. This can either be within a previously mapped and known environment (i.e. prior map) or relative to another robot in a multi-agent setup. Re-localisation is essential for enabling robots to perform tasks such as autonomous monitoring and exploration seamlessly, even when they encounter temporary challenges in precisely tracking their location in GPS-degraded environments. For instance, consider the 'wake-up' problem, where a robot …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Evaluating the performance of PODs due to composite load models with high levels of embedded Distributed PVs (D-PV)
Power oscillation Damper (POD) in South QLD are used to provide sufficient damping to inter-area mode of oscillations (electro-mechanical modes). These oscillatory modes often change their characteristics due to changes in load dynamics and the inherent transmission system topology.While the interconnections between generators and transmission lines have not changed over the recent years, there is a significant change in the embedded load dynamics. With high penetration of rooftop PV (including PV distributed at LV and MV level), in South QLD, …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Wearable neuro-imaging and spatial experience
Our built environment changes our brain function. There is considerable interest from many research fields upon the positive and negative health and wellbeing effects of our environments. This research area explores how architectural environments and spaces impact experience and mood using wearable brain-imaging technology.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Next-generation traffic signals for Safe, Efficient and Green Intersections
There is a full PhD scholarship available in the School of Civil and Environmental Engineering at Queensland University of Technology (QUT) to support the newly awarded ARC Linkage Project on Next-generation traffic signals using artificial intelligence-based video analytics for safe, efficient and green intersections. The stipend has a cash value of $32,500 per annum for 3 years.To apply for this position, please submit the following documents via email to m1.haque@qut.edu.au:a detailed curriculum vitae (CV) highlighting academic achievements, research experience and …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Using systems architecture to model neuropathic pain
Neuropathic pain effects '1 in every 10 adults over the age of 30'. The treatments available for neuropathic pain can at best be described as having 'moderate efficacy'. Due to the nature of neuropathic pain, the ability to scientifically study and understand its fundamental causes has been limited to animal models and trials. There are over 27 animal models for neuropathic pain where pain has been induced by macroscopic and microscopic nerve lesions, chemotherapy, viral infections and diabetes mellitus.Looking at …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems
The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Centre for Future Mobility
A soft robotic manipulator for spinal surgery
The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Modelling of sugar cane crushing
Cane sugar factories, while producing sugar and molasses, provide their own energy and power from the sugar cane biomass residue, are green house gas neutral and can export renewable electricity to the grid. The performance of the milling train in extracting juice and dewatering the biomass bagasse residue are key components of the operation. Understanding and modelling the process are seen as a way forward to improve the performance, for example by reducing the final bagasse moisture below the current levels.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
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