Found 585 matching student topics
Displaying 61–72 of 585 results
In-silico clinical trials to assess implant performance after shoulder joint replacement
The challenge of conducting a clinical trial to test the performance of joint replacement prosthetics in-vivo results in an expensive and risky lead time for the development of new implant designs. Computational methods have the potential to significantly improve the workflow of implant design via in-silico clinical trials.Anatomical variation in bone morphology across populations also presents a challenge, and new prosthetics will need to be offered in a variety of shapes and sizes to maximise their suitability for a diverse …
- 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
Using augmented reality portals to step into other worlds
We are seeking highly motivated students to work on an Australian Research Council (ARC) funded project.In this project, you will be assisting in the design, development and/or testing of an augmented reality (AR) application which will allow users to seamlessly transition between the real world and several virtual worlds via the use of portals. After walking through a portal, users will be able to move around, interact with objects and talk with other users in the virtual space before taking …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
Histological analysis of explanted pelvic meshes
Pelvic mesh implantation is a common surgical procedure employed to treat stress urinary incontinence, rectal prolapse and pelvic organ prolapse. Data from the Therapeutic Goods Administration (TGA) showed that 151,000 meshes have been implanted in Australia since 1998 and 3.7 million world-wide between 2005 and 2013. However, the use of pelvic meshes can cause complications such as erosion, infection, pain and discomfort, which sometimes require further surgery. With high complication rates the FDA recently issued 2 warnings against the use …
- 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
Addressing security challenges for the industrial internet of things
With the emergence of the Internet of Things (IoT) and Industry 4.0, there is a trend for applying these services and applications to a large-scale industrial area. The IoT paradigm has changed the way of interactions with the things that surround us. In essence, the IoT promises ubiquitous connection to the Internet, turning common objects into connected devices. It is predicted that there will be 50 billion connected devices at the end of the year 2022.Over the last few years, …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
Race for the surface: helping implants to win the race
The recent COVID-19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them.Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.When a biomaterial is implanted into the body and bacteria get into …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Understanding and manipulating bacterial motility for infection control (PhD)
The recent COVID 19 pandemic reminds us of how difficult it is to control infectious diseases. Pathogenic microorganisms are known to be extremely 'smart' and are able to quickly develop mechanisms against most of our strategies aimed at eradicating them. Our group is focused on bacterial infections to implants and medical devices. We are in the pursuit to outsmart the bacteria to develop the next generation medical device and implant materials.Bacterial motility/movement and group-coordination on surfaces and in 3-dimensional environment …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
- Research centre(s)
- Centre for Biomedical Technologies
Mathematical modelling of ecosystem tipping points in Antarctica
Slight variations in the seasonal timing of Antarctic ice melt can drastically shift the composition of local shallow-water ecosystems from being dominated by invertebrates to algae instead. Such "tipping point" events may become commonplace in the future due to climate change, not just in Antarctica but in many ecosystems worldwide.This project seeks to develop mathematical models of the interactions between Antarctic environmental conditions and the local shallow-water ecosystem states. These models could then be used to make predictions about the …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Developing predictive models, methods and analytics for complex sports data
A 3-year strategic partnership on sports data science between the Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and the Queensland Academy of Sport (QAS) was launched in the past few months. With a drive towards data informed decision making across the high performance sports network nationally, a number of collaborative, interdisciplinary research and scholarship opportunities ranging from VRES, to honours, masters and PhD have developed.
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Using mathematical models to detect alternative stable states in ecology
This project seeks to use mathematical models to detect "alternative stable states" in ecology - a behaviour in which the ecosystem can get "stuck" in one state (e.g. pristine) or another (e.g. irreversibly degraded).
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Mathematical modelling of ecosystem feedbacks and value-of-information theory
Ecosystems respond to gradual change in unexpected ways. Feedback processes between different parts of an environment can perpetuate ecosystem collapse, leading to potentially irreversible biodiversity loss. However, it is unclear if greater knowledge of feedbacks will ultimately change environmental decisions.The project aims to identify when feedbacks matter for environmental decisions, by generating new methods that predict the economic benefit of knowing more about feedbacks. Combining ecological modelling and value-of-information theory, the outcomes of these novel methods will provide significant and …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Centre for the Environment
Generating and sharing cyber threat intelligence in industrial control systems
Cyber threat intelligence (CTI) is the knowledge about a threat, and it includes threat indicators such as Tactics, Techniques, and Procedures (TTPs), IPs, etc. CTI can help organisations to learn about existing threats. Cyber threat intelligence can be received from external open-source threat intelligence or it can be extracted from adversarial activities in organisations’ networks. The CTI generated will be used to build intelligence about threats against a given target.In cyber threat intelligence, indicators of compromises (IoCs) are generated. These …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Computer Science
Amplifying voices from the Royal Commission into Aged Care through animated poetry
This VRES project is part of a larger three-year project titled Amplifying voices from the Royal Commission into Aged Care, which is funded by the Australian Research Council. This boundary-pushing transdisciplinary project asks the critical question: how can non-traditional approaches like arts-based methodologies provide marginalised aged care residents with more visibility and voice in public discourse and policy debates about aged care?More information about the project can be found on the project website.This project is situated within the 2nd stage …
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Creative Practice
- Research centre(s)
-
Design Lab