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 21 matching student topics
Displaying 13–21 of 21 results
The Impact of AI on Leadership Roles and Structures
Examine how the introduction of AI technologies reshapes traditional leadership roles and organisational structures. Investigate the evolving nature of leadership in decentralised, AI-driven decision-making processes and explore how leaders can effectively adapt to new leadership paradigms.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Information Systems
- Research centre(s)
-
Centre for Behavioural Economics, Society and Technology
Two dimensional heterostructures on SiC for new electronics
The present electronic technology is approaching the limit to the smallest circuit element achievable, and the future electronic devices will depend critically on the development of novel approaches. Two dimensional materials seem to offer an exciting perspective, and the advent of graphene (a single layer of carbon atoms in a honeycomb structure) sparked a huge interest, but its application to electronics are limited by the absence of a band gap.A new perspective has been open by other 2D materials which …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Epitaxial growth of 2D heterostructures for two dimensional electronics
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Towards Synthetic protein-structures based on precision macromolecules: can we beat nature in designing catalysts?
Up for a challenge? In this project you can explore if you can beat nature in making catalytic systems! Over billions of years, nature has perfected the design and synthesis of high molecular weight precision macromolecules, which are able to execute a specific function in a complex biological environment such as proteins.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Understanding the structure-property relationships in reduced graphene oxide hydrogels
Graphene consists of hybridised carbon atoms in a hexagonal two-dimensional (2D) lattice. This material has extraordinary mechanical, thermal and electrical properties. However, one problem in practical applications is the aggregation and restacking between neighbouring graphene layers.In contrast, a possible way to avoid this problem is by transforming 2D graphene sheets into graphene hydrogel (GH) consisting of a three dimensional (3D) porous structure. Recently, 3D GH has been widely investigated in energy storage and conversion, catalysis and sensors. Furthermore, its accessible …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Materials Science
Centre for Clean Energy Technologies and Practices
Semantic SLAM for robotic scene understanding, geometric-semantic representations for infrastructure monitoring and maintenance
Making a robot understand what it sees is one of the most fascinating goals in our current research. To this end, we develop novel methods for Semantic Mapping and Semantic SLAM by combining object detection with simultaneous localisation and mapping (SLAM) techniques.We work on novel approaches to SLAM that create semantically meaningful maps by combining geometric and semantic information. Such semantically enriched maps will help robots understand our complex world and will ultimately increase the range and sophistication of interactions …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Process Mining Infrastructure In Haskell
In process mining, sequence analysis algorithms are used to discover computational models of process data, and to analyse them. The insights from these models and analysis then improve the processes in organisations in many real-life domains - from manufacturing, to government, to healthcare. Haskell is a powerful functional programming language well suited to problems involving formal reasoning and pattern matching. This project would advance process mining research by building high-quality, high performance libraries in Haskell for fundamental process mining activities …
- Study level
- Honours
- School
- School of Information Systems
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
X-ray backscatter diffraction and X-ray fluorescence for the rapid structural and chemical characterisation of rock samples
The advisory team devised a synchrotron-based microscopy method for coeval measurements of elemental concentrations and crystal-orientation data combining X-ray fluorescence microscopy (XFM) with X-ray backscatter diffraction mapping (XBDM).We seek students with a background in physics, crystallography, or mineralogy and coding skills to help with the improvement of the methods.XBDM/XFM has the potential to become a game changer in the microphysical and -chemical characterisation of crystalline solids, with future applications in the critical-minerals industry and material science.
- Study level
- PhD, Master of Philosophy
- School
- School of Earth and Atmospheric Sciences
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