Student topics

Robotic knee surgery can perform femoral and tibial resection. Currently it is not possible to use robotic technology for patella preparation; to do so will require miniaturisation of tracking, effective clamping of the patella and controlled use of a saw. This project will aim to develop the technology for any small bone resection with a robot, taking the patella as a test case.

Study level

PhD

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

Robotics has a positive impact on surgical procedures. This is particularly the case with minimally invasive surgeries. In these procedures, there is a need for compact tools that can be inserted through a tiny opening but are versatile in function. This project will look at the design of dexterous alternatives to traditional surgical tools within this context. Methods to vary the workspace and stiffness of the tool will be investigated by combining inspiration from the design of miniature biological joints …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

Rainfall prediction plays a crucial role in various sectors such as agriculture, water resource management, and disaster preparedness. Traditional prediction methods often rely on complex meteorological models and expensive equipment. However, advancements in energy harvesting technology offer the opportunity to develop low-cost and sustainable solutions for rainfall prediction.This project proposes to leverage solar and vibration energy harvesting for rainfall prediction. Combined measurements from both solar and vibration energy harvesting can provide comprehensive data for real-time monitoring of cloud coverage and …

Study level

Honours

Faculty

Faculty of Science

School

School of Information Systems

This PhD position aims to harness the potential of big traffic and mobility data alongside cutting-edge AI/ML algorithms to pioneer innovative solutions for optimizing smart motorways and/or arterial traffic flow. By leveraging these technologies, the project endeavours to develop and test smart algorithms, with the goal of significantly enhancing the efficiency and safety of road networks.Send via email to Prof. Ashish Bhaskar (ashish.bhaskar@qut.edu.au):a brief statement detailing your suitability for the positiona detailed curriculum vitae, including a list of publications, if …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Civil and Environmental Engineering

Research centre(s)

Centre for Data Science

In process mining, we perform computational analyses of sequential data in order to help organisations improve, in settings from ride-sharing platforms to government departments. In social sequence analysis, we perform computational analysis on sequential data to understand small or large structures in society, such as the progress of careers of 18th century German musicians, or the progress of nations through different stages of economic development.In both process mining and social sequence analysis, calculation of "alignments" for is a key technique …

Study level

Honours

Faculty

Faculty of Science

School

School of Information Systems

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

Faculty

Faculty of Science

School

School of Information Systems

The increase in global energy demand necessitates further advancement in photovoltaic (PV) systems. Advancements in PVs could potentially play a role to help meet the Paris Agreement of limiting global temperature increase to below 2 degrees Celsius. In conjunction with the rising demand for clean energy production, the global agricultural industry needs to keep pace with rising food demand which is expected to increase by 50% by 2050 to feed over a projected 10 billion people. The scarcity of fertile …

Study level

PhD, Honours

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Epilepsy is a serious and debilitating condition which is grossly under-researched despite the devastating impact it can have. Damage to the vast language processing network of the brain during surgical resection can cause aphasia, a devastating communication disability. This project aims to determine reliable pre-surgical mapping and outcome predictors in epilepsy resection: To 1) develop a reliable and comprehensive battery to map the language network in pre-surgical epilepsy patients with different foci, and 2) assess how the reorganisation of the …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Clinical Sciences

Research centre(s)

Centre for Biomedical Technologies

Radiation therapy (RT) is one of the most commonly used modalities in cancer treatment, usually delivered in combination with surgical intervention, chemotherapy, and immunotherapy.However, clinical outcomes show that almost 20% of patients fail to achieve targeted outcomes because of inherent resistance to radiation. This necessitates in-depth understanding of radiation resistance mechanisms using relevant preclinical models of RT. Previous in vitro studies have predominantly used two-dimensional (2D) cell culture models that do not recapitulate the three-dimensional (3D) complexity of native tissues.

Study level

Honours

Faculty

Faculty of Engineering

School

School of Mechanical, Medical and Process Engineering

Research centre(s)

Centre for Biomedical Technologies

This project aims to address the urgent problem of isolation, dislocation of families by distance and lack of 'intergenerational closeness' by developing ways to build stronger bonds between geographically distributed families using tangible, embodied and embedded interfaces (TEIs). TEIs combine physical artefacts and digital information, allowing interactions across a variety of spaces, and in combination with other activities and experiences.

Study level

PhD

Faculty

Faculty of Creative Industries, Education and Social Justice

School

School of Design

Research centre(s)

Design Lab

High-throughput screening assays are essential for accelerating drug discovery, but current assays often rely on endpoint measurements that do not capture the dynamic response of cells to drug treatment. Machine learning algorithms (MLAs) have the potential to enable real-time, high-throughput monitoring of cell response to drug treatment by analyzing complex datasets generated by multiplexed live-cell assays. This research project aims to develop an MLA for enabling high throughput cell response data in drug treatment. The project will involve three main …

Study level

Honours

Faculty

Faculty of Engineering

School

School of Computer Science

Research centre(s)

Centre for Biomedical Technologies
Centre for Biomedical Technologies

Brand manufacturers continue to be concerned with consumers' moves toward cheaper, private label grocery products, such as $2 milk. In Australia, and globally, supermarket retailers continue to increase their proportion of private label products. Australia's largest food retailer, Woolworths, in November 2011 reported to shareholders their plans to double the proportion of private label, house brand products to 35% of their range.The purpose of this research would be to identify and explore the extent of ethical and socially responsible (ESR) …

Study level

PhD, Master of Philosophy, Honours

School

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