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Understanding and exploiting the phenomenal properties of collagen

Collagen is the most abundant protein in the human body and, as one of its principal building blocks, plays a dominant role in the function of many tissues. As such, the structure-property-function relationships in collagen are central to understanding health and disease, and developing materials-based strategies for regenerative medicine. A better understanding of these relationships further provides a biomimetic target for high-performance, multifunctional fibre-based materials in applications outside of biomedicine. The defining feature of collagen is an elegant structural motif …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

Diagnosis of data quality issues in BPI challenge data sets

Process mining aims to derive information from historical behaviour of processes in organisations which has been recorded in event logs. However, event data and event log quality are critical success factors for process mining projects. The logged event data generally requires significant manipulation, or data cleaning, to convert the raw data to an event log suitable for use in a process mining analysis.While data cleaning in is one of the main stages in various process mining methodologies, data quality is …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Advanced Real-Time Medical Diagnostics using AI and an IoT Medical Device

M3dicine has developed a new digital and powerful stethoscope called Stethee. Stethee can capture heart, lung and other body sounds with incredible amplification, strong clarity and depth of sound. This device can be used to capture vital signs of humans and animals and the resulting data can be used to detect, monitor, and diagnose a range of medical conditions and diseases.In this project you will use Steethee to develop new artificial intelligence algorithms to capture and process medical vital signs …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Constrained deep learning for medical image analysis

A new, exciting research project needs 2 postdoctoral fellowships and 3 PhD students to work on developing the next generation of neuroimaging diagnosis using MRI.This large $4.8M project involves:Australia’s premier research organisation, the CSIROQueensland University of TechnologyMaxwell+, a start-up developing AI for precision medicineI-MED, a large private radiology practice.The scholars based at QUT in Brisbane will develop new deep learning technologies for the analysis of brain MRI with the goal of predicting neurodegenerative diseases such as Alzheimer’s.This PhD project will …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Advanced vascular models for surgical education, training and diagnosis

Vascular surgery is Australia’s second-most expensive surgical program, primarily due to an aging population with increased incidence of cardiovascular disease, representing 29% of all deaths in 2017.Surgical decision-making regarding whether, when and how to operate on a patient relies on the clinicians’ analysis of 2D and 3D reconstructed images on a computer screen in either the endovascular suite or the operating room.Further, endovascular surgeries require skillful and rapid deployment of vascular prosthetics through tortuous, patient-specific geometries to safety, effectively and …

Study level
Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

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