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 812 matching student topics
Displaying 85–96 of 812 results
Co-benefits of trees on farms: soil carbon
Soils are now in the ‘front line’ of global environmental change. Soils are the largest global pool of actively cycling organic C and N. Maintaining and increasing soil organic matter (SOM) is a prominent strategy for mitigating atmospheric CO2 and adapting agriculture to climate change.At the same time the global biodiversity crisis has led to increased scrutiny on supply chains to scrutinise farms ecological footprint. Planting or retaining trees in the landscape has the opportunity to achieve both outcomes, however …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Biology and Environmental Science
- Research centre(s)
- Centre for Agriculture and the Bioeconomy
Accuracy of measuring surface roughness using image processing
Our team’s research focusses on developing antibacterial and antiviral surfaces for various applications such as orthopaedic and dental implants, general surfaces such as lift buttons, handrails, taps, switches, benches etc. These antibacterial and antiviral surfaces are generated on a variety of materials using various techniques such as hydrothermal synthesis, electron beam lithography, anodization and wet etching. By implementing these surfaces on implants, medical devices, surgical tools and general hospital surfaces, we can reduce the spread of infection, saving lives. Surface …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
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
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, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Materials Science
Controlling biochemical environment with bioprinting for cell cultures
Our team aims to create a patternable biochemical environment which can be conducive for mimicking our body physiology using bioprinting. Using newly established bioinks, our lab has been able to control the oxygen level at regions within our tissue cultures, mimicking body physiology like the joint interfaces. However, the mass transport properties of the bioinks is not thoroughly explored.In this project, you will be attempting to bioprint and characterise different patterned biochemicals using our developed bioinks to identify the mass …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
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, Vacation research experience scheme
- 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, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Kidnapped robot in a digital twin environment
Mobile robots are starting to be commonly used in manufacturing environments but they often get confused when they are switched on and off regarding where they are and what they should be doing. This is known as the 'kidnapped robot' problem, where the robot is to re-localise itself each time it is rebooted or a new task is presented.The advent of 'digital twins' has enabled a robot to build a map of its environment, which can aid in its localisation. …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Incorporation of the Biphasic plating concept into anatomically contoured locking plates
The Biphasic Plate is a novel fixation concept developed at QUT for the treatment of fractures that is intended to support early full weight bearing. The concept has thus far been developed into an approved implant for distal femur fractures and has been used clinically. However, questions remain surrounding the use of the Biphasic Plate in certain borderline indications. For instance, in certain unstable fracture types, a technique know as double-plating is used to stabilise distal femur fractures, with a …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Centre for Biomedical Technologies
A physics-guided deep learning-based framework for computational mechanics
Computational mechanics is an essential discipline that uses numerical schemes to approximately solve mechanics problems. It provides engineers with precious knowledge about the structures to identify the at-risk area and further guide the structural design and optimisation process.Deep learning (DL) is an important branch of machine learning (ML). The great success of the DL techniques has been witnessed in the past decade. Now, various fields have benefited from the DL techniques, including computer vision, financial prediction, and bioinformatics. Therefore, it …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Deep Learning for engineering object recognition
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Designing a DIY Internet of Things (IOT) kit for ambient nature learning
We’re interested in exploring how to make affordable Internet of Things (IOT) devices that enable learning about nature through sound. This project aims to make an open-source DIY kit of a technology that enables ambient listening and learning about vocal species (e.g. bird or frog calls) in the home, as well as the sharing of nature data.We can supply prototypes and user requirements. We require someone with experience or a strong interest in designing for the Internet of Things to …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
- Research centre(s)
- Centre for Data Science
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