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 542 matching student topics
Displaying 373–384 of 542 results
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
- PhD
- 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
Improving the resilience of older masonry building roofs against winds and cyclones
Wind and cyclonic actions are important in the design of new buildings in many Australian regions including in QLD. Cyclone Tracy in NT proved that older masonry building were particularly vulnerable to cyclonic actions, and the even resulted in the improvement of construction codes.However, there are many buildings that predate the introduction of modern codes. These buildings may be vulnerable to wind and cyclonic actions. This project has been designed to study the wind vulnerability of older masonry buildings and …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Centre for the Environment
From LiDAR or drone imagery to structural geometries
LiDAR geo-spatial data (3D coordinates) are freely available from government websites such as "QSpatial data portal". Alternatively, the use of drones have also become popular in aerial surveys and imagery.The geospatial data from these sources include 3D coordinates of various built structure. The data can be downloaded (in case of LiDAR) or processed from images (in case of drone survey) to create actual 3D picture of building structures. This work is commonly done using rendering software. The use of this …
- Study level
- Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
-
Centre for the Environment
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
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
Artificial Intelligence for collaborative and intelligent user interfaces
This project seeks to leverage recent advances in machine vision and natural language processing algorithms to support the design and development of knowledge-driven applications that support communication and collaborations with their users.One particular area where this will be investigated is in workplaces for supported employment, that is employment opportunities for people with intellectual disability. One of the questions to address is how machines could respond to what a user shows them in order to assist with decision making in a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
5G and IoT smart ontology learning
This project aims to investigate privacy preservation protocols in a 5G integrated IoT environment through an analysis of the depth of smart-device use in common smart domains. 5G’s addition to IoT-based smart devices will be effectively deployed and utilised by a large majority of individual and organisation-based users. The knowledge-based ontology and tools developed in the project will help form the new privacy preservation mechanisms that are required for the 5G enabled environment.The development of an ontology for 5G enabled …
- Study level
- PhD, Honours
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
Citizen-developers: challenges and opportunities for low-code/no-code automation
Robotic Process Automation (RPA) is becoming a popular choice for organisations to support their digital transformation and to maintain operational resilience. Many organisations are keen to adopt Robotic Process Automation (RPA) to dramatically improve operational efficiency. Many organisations train and assign their staff as “citizen-developer” to design, test, and maintain the bots using Low-Code/No-Code platforms. However, there are number of issues surfaced when using organisational employees as citizen developer ranging from technical & process capabilities to scalability of RPA.
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Data Science
The dark side of robotic process automation
Pandemics such as COVID 19 have forced organisations to pursue hyper-automation to maintain operational sustainability. Many organisations are keen to adopt Robotic Process Automation (RPA) to dramatically improve operational efficiency. However, evidence to date highlighted various associated challenges associated with adoption of RPA in organisations.Furthermore, recent surveys by consultant organisations found a high RPA project fail rate and their inability to meet the expected return on investment.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
- Centre for Future Enterprise
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