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 8 matching student topics
Displaying 1–8 of 8 results
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
Engineering Chimeric Antigen Receptor (CAR) T cell for the treatment of cancer
Chimeric Antigen Receptor (CAR) T cells are genetically modified immune cells that can recognise and kill cancer cells. They do so through the CAR, which recognises specific antigens expressed on cancer cells. CAR T cell therapy has emerged as an effective form of cancer immunotherapy in certain types of blood cancers and are now approved for use in patients. However, CAR T cell therapy can only benefit a very small proportion of cancer patients at present because it is very …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Understanding local government artificial intelligence policy landscape
Artificial intelligence (AI) is driving transformation across all areas of society today. An umbrella term encompassing a range of technologies both sophisticated and simple that are used to make predictions, inferences, recommendations, or decisions with data. AI is used in many products and services that people use, interact with, or are impacted by every day. It already in place of local government and assisting government officials in providing services effectively and conduct their activities more efficiently to the public. The …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
The Law and Technology Interface
Dr Michael Guihot is looking for PhD/MPhil candidates interested in exploring the relationship between technological and legal change. Candidates are encouraged to identify a specific emergent technology or application (AI, robotics, blockchain, Internet of Things, commercial space tech, CRISPR, lawtech) through which to explore the relations and/or particular existing truisms, theories or accounts of the law-technology interface. The legal focus can extend from local Australian jurisdictions, to comparative analysis to a focus on public or private international law. This topic …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Law
Develop microfluidic technologies for cardiovascular and cerebrovascular diseases
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.To address this pressing need, we're developing simple-to-use, high-throughput and highly-informative microfluidic biochips to understand the sequences of molecular events underlying biomechanical thrombosis (mechanobiology). …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Designing smart visual technologies with people with intellectual disability
This research is part of a Future Fellowship project funded by the Australian Research Council. You will join a team of researchers and research students in the school of computer science, with expertise in the disciplines of human computer interactions and data science.In broad terms, the project is seeking to understand how the meaning of images can be computed and used in the design of intelligent interfaces which can be used by and support people with intellectual disability.The visual interactions …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Develop point-of-care microfluidic technologies for cardiovascular and cerebrovascular diseases
Excessive clotting (thrombosis) leads to the cardiovascular diseases such as heart attack and stroke, killing one Australian every 12 minutes. It has long been recognized that platelets play a central role in thrombosis and are unique in their ability to form stable adhesive interactions under conditions of rapid blood flow.We've recently discovered a new ‘biomechanical’ prothrombotic mechanism that highlights the remarkable platelet sensitivity to the shear stress gradients of blood flow disturbance. Importantly, we've found that current anti-thrombotic drugs, such …
- 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
Centre for Biomedical Technologies
Convergence of virtual reality (VR) and digital twin technologies to enhance energy resilience
A convergence of virtual reality (VR) and digital twin technologies can provide multifaceted benefits like digital learning processes, generating a collaborative ecosystem between technological and human assets (Martínez-Gutiérrez et al., 2023). When digital twins are adopted, they can provide sustainable energy solutions, such as energy efficiency optimisation or renewable energy integration (Coelho et al., 2024).In this project we investigate the adoption of digital twins and how this can drive the sustainable energy transition in VR environments from a cognitive computing …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
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