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 182 matching student topics
Displaying 73–84 of 182 results
Advanced numerical modelling to study fluid flow and heat transfer of ground-mounted photovoltaic panels for the power generation industry
The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2°C.The performance of ground-mounted PV panels commonly found in solar farms depends on a myriad of factors such as tilt angle, microclimate i.e. wind loads, shading, solar irradiance, and dust deposition. This project aims to develop an advanced numerical model, namely computational fluid dynamics (CFD), backed …
- Study level
- PhD, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Characterizing effects of radiation therapy in 3D bioengineered cancer models
Radiation therapy (RT) is one of the most commonly used modalities in cancer treatment, usually delivered in combination with surgical intervention, chemotherapy, and immunotherapy.However, clinical outcomes show that almost 20% of patients fail to achieve targeted outcomes because of inherent resistance to radiation. This necessitates in-depth understanding of radiation resistance mechanisms using relevant preclinical models of RT. Previous in vitro studies have predominantly used two-dimensional (2D) cell culture models that do not recapitulate the three-dimensional (3D) complexity of native tissues.
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Development of a machine learning algorithm for high throughput cell response data in drug therapy
High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Computer Science
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
Leveraging Big Data and AI/ML for Smart Transport Solutions
This PhD position aims to harness the potential of big traffic and mobility data alongside cutting-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart algorithms, with the goal of significantly enhancing the efficiency and safety of road networks.Send via email to Prof. Ashish Bhaskar (ashish.bhaskar@qut.edu.au):a brief statement detailing your suitability for the positiona detailed curriculum vitae, including a list of publications, if …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Modelling of electrochemical CO2 capture and conversion
Renewable electricity is remarkably cheap, and is only going to get cheaper. However, existing state-of-the-art CO2 capture and conversion processes use thermal energy (typically generated by burning natural gas). This modelling project will investigate electrochemical techniques for capturing CO2 from air (direct air capture) and converting it to useful chemicals and materials.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Climate equity in multi-hazard vulnerability assessments
The increasing frequency and intensity of extreme weather events, such as intense heatwaves, floods, and bushfires, is triggering disruptive disasters that have a significant impact on communities, ecosystems, and economies. While our national climate change adaptation strategy places a paramount focus on enhancing community resilience, it is crucial to recognise that not all communities face climate risks in the same manner. Diverse communities exhibit varying capacities to respond and adapt to distinct climate hazards. This reality underscores the imperative for …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
- Research centre(s)
-
Centre for the Environment
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
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