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Found 14 matching student topics

Displaying 1–12 of 14 results

A soft robotic manipulator for spinal surgery

The geriatric population in Australia (4.2 million 2020, ABS), is growing steadily with numbers expected to double in the coming years. Incidences of spinal disorders requiring surgical treatment are therefore predicted to increase, incurring an estimated lifetime cost of AUD 3.7 billion per case (The Treasury). Robotics, an increasingly important component of modern medicine, is well suited to address the minimally invasive surgical needs of treating the spine.This project proposes the use of a soft-robotic manipulator to carry out spinal …

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

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

Bacteria - mammalian cell interactions in implant-associated infections

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.Anthony Gristina conceptualized in 1987 that bacteria compete with tissue cells …

Study level
PhD, Master of Philosophy, Honours
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

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

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
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Understanding user behaviours of kinetic energy harvesting

Kinetic energy harvesters are used in devices such as wearable fitness trackers and smartwatches to capture energy from human movement to prolong battery life. They are emerging as both an energy source and a means to provide context information for recognizing human physical activities like exercising or walking (Sandhu et al, 2023).Kinetic energy harvesters provide several benefits, including cost reduction associated with battery replacement and maintenance, minimizing electronic waste, and decreasing the carbon footprint related to energy production and disposal. …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Information Systems

Simulation of turbulent fluid flow through a microfluidic device using CFD

Microfluidic devices (MFD) are extensively used in microbial studies. Bacterial cell attachment onto surfaces under flow conditions in laminar regime has been previously studied using a custom designed MFD.As an extension of this study, microbial attachment under turbulent flow is to be studied in a future project. The suitability of current MFD for microbial studies under turbulent flow must be evaluated to adopt / redesign the MFD.A computational fluid dynamics (CFD) analysis is proposed to examine the fluid flow inside …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

Microfluidic chip-based tumor-immune cancer models for biomarker discovery

In-vitro profiling of tumour-immune cell interactions in proximity can provide valuable insight into patient response to new combinatorial immunotherapies that are in the pipeline and currently being tested in clinical trials. These in-vitro models allow for a more controlled and isolated environment and provide a methodical approach for generating quantifiable data characterizing the interactions between target and effector cells. Traditionally executed in well-plates, tumour-immune models have been slowly moving towards a microfluidic chip-based approach for several reasons: better control over …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

High performance energy storage materials and devices

Energy storage devices, such as supercapacitors, play an increasingly important role in our daily life as a reliable energy supplier. Supercapacitors are a type of energy storage system that possess merits of rapid energy storage and release (high power density) with a cycling lifetime of ten thousand or more. Nevertheless the energy density of conventional electrochemical capacitor is quite low.This project aims to enhance the energy density of supercapacitors without compromising their power density through innovative designing and synthesising electrode …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Chemistry and Physics
Research centre(s)
Centre for Materials Science
Centre for Clean Energy Technologies and Practices

Elevating performance: Innovative design strategies for body-worn (diagnostic or biosensing) devices

How does technology help us to support a person’s sense of wellbeing and/or performance? Beyond technology and metrics, how do a body-worn (electronic/biosensing) device be designed to fit the person in different contexts of use and different performance needs? We are investigating the role of designing with sensor technology (sensor technology agnostic) in body-worn devices from a Human Centred (HCD) lens, and Research through Design (RtD) approach.In today's fast-paced world, the pursuit of optimal human performance has become a paramount …

Study level
PhD
Faculty
Faculty of Creative Industries, Education and Social Justice
School
School of Design
Research centre(s)

Design Lab

Ubiquitous visual positioning devices

Everything that moves is defined and limited by its ability to navigate the world in which it exists. Knowing where you are located in the world is a key navigational capability for people, animals, and both autonomous and human-operated platforms ranging from self-driving cars to aircraft.But accurate and trustworthy positional knowledge has widespread potential implications beyond navigation: it can, for example, allow life-and-death decisions in defence and in tracking the spread of global pandemics. Both the potential of and problems …

Study level
Honours
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

A new physics informed machine learning framework for structural optimisation design of the biomedical devices

The machine learning based computer modelling and simulation for engineering and science is a new era. The optimisation analysis is widely used in the design of structures.

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies
Centre for Biomedical Technologies

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