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 476 matching student topics
Displaying 49–60 of 476 results
Flexible thermoelectrics for wearable electronics
Advancements in miniaturisation and integration of electronics have recently stimulated the explosive progress in wearable electronics. With increasing practical needs, our analysis has indicated that the market values of wearable electronics are predicted to boost up to US$50B in 2022 and US$72B in 2026. Currently, conventional batteries have limited applications in wearable electronics due to their requirements of frequent replacement/recharge and extra-maintenance. This is especially true in temperature or pressure sensors in some circumstances such as remote-control smart home systems …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Conversational agents that can see
The development of conversational agents, whether as smart home devices, or embedded in mobile devices or social robots, has started in the world of chatbots, with only text available, and then started to build audio features, and finally considering context through sensors and cloud knowledge, as well as offering images in response to a query.However, little attention has been paid to other conversational modalities, such as showing, pointing, or gesturing. The reliance on these is exacerbated in conversation with people …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
Finite element modelling of 3D auxetic structures
Protection of structures has become a priority for saving lives and preventing structural collapses caused by increased natural or man-made disasters. Most injuries and mortalities in these disasters are caused due to fragmentation of structures, and therefore, structural protection through systems that can absorb more energy and effectively contain the fragments (debris) are needed. Additive manufacturing (such as 3D printing) can be used to develop special geometries called auxetic geometries and composites using sustainable bioplastics which can absorb shock energy …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
High energy absorbing materials and composites for building protection from collision damage
Protection of structures has become a priority for saving lives and preventing structural collapses caused by increased natural or man-made disasters. Most injuries and mortalities in these disasters are caused due to fragmentation of structures, and therefore, structural protection through systems that can absorb more energy and effectively contain the fragments (debris) are needed. Additive manufacturing (such as 3D printing) can be used to develop special geometries called auxetic geometries and composites using sustainable bioplastics which can absorb shock energy …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Drone and satellite Artificial Intelligence
Satellite and drone/UAV data has a great potential to provide large-scale analytics for many domain applications. However, the wide range of data of diverse nature (e.g., optical vs. SAR, high-resolution vs. wide-coverage, mono- vs. hyper-spectral, 2-D vs. 3-D) also poses significant challenges for analytics.Deep learning holds great promise to deal with these tasks. While the number of research in this area is increasing, there still exists challenges such as co-learning of multimodal data, limited data annotation, and uncertainty in the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Identifying corporate tax avoidance
It is not possible to empirically measure, with certainty, a corporation’s level of tax avoidance due to a lack of publicly available information. As such, academic studies that seek to identify determinants, moderators and consequences of corporate tax avoidance, in order to evaluate the equity of the tax system (Callihan, 1994), measure corporate tax avoidance by proxy suggesting a wide variety of calculations.But these calculations have limitations. For example, most proxies measure non conforming (transactions that are accounted for differently …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Capture and reuse of phosphate nutrients
Nutrients such as ammonium and phosphate species are essential in agriculture. However, release of excessive amounts of nutrients to waterways may result in eutrophication which can lead to toxic algae blooms, killing of fish and destruction of the environment.Compounding this issue is the fact that phosphate rock sources are gradually being exhausted. Hence, finding a means to capture and reuse phosphate species from sources such as wastewater treatment plants is potentially attractive.Consequently, this project involves the development of new phosphate …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Evidence-driven policy innovation for urban heat islands
Extreme heatwaves and other extreme weather events are contributing to the fragility of cities and urban infrastructure, which requires urgent attention. Urban heat islands are an exemplar for metropolitan fragile areas, which exacerbate the impact of climate change and global warming on natural hazards, such as wildfires, storms, floods, and droughts, which pose a critical threat to Australian and international communities (Degirmenci et al., 2021). Decision support systems (DSS) can help city planners and policymakers to optimise their decision-making by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Management
- Research centre(s)
- Centre for Future Enterprise
Branching processes, stochastic simulations and travelling waves
Branching processes are stochastic mathematical models used to study a range of biological processes, including tissue growth and disease transmission.This project will implement a simple stochastic branching process to generate simulations of biological growth, and then consider differential equation-based description of the stochastic model.Using computation we will compare the two models, and use phase plane and perturbation analysis to analyze the resulting traveling wave solutions.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Development of high value products from mining waste resources
Mining represents one of the largest industry sectors in Australia. It is central to creating 1 million direct or indirect jobs and generates significant wealth to Australia. However, the mining industry produces a substantial amount of waste material which ideally needs to be recycled.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
A mathematical model of disrupting cell-to-cell communication by bacteria
The emergence of resistance of bacteria to antibiotics presents a global healthcare challenge that intensifies the search for strategies to increase the effcacy of therapy. Several mechanisms are involved in resistance of bacteria against antibiotics such as mutations in genes, horizontal gene transfer, and biofilm formation. Bacteria can communicate with each other through production and response to local concentration of small molecules called autoinducers.This mechanism is called quorum sensing (QS).It has been suggested that QS can influence the resistance of …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Physics-informed machine learning
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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