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 32 matching student topics
Displaying 1–12 of 32 results
Separating nonlinear optical effects in optical limiters
Optical limiting uses a medium’s nonlinear response to allow light at low intensities to be transmitted, but restricts transmission at high intensities so as to safeguard sensitive detectors including the eye. A popular nonlinear process used in optical limiters is two photon absorption where two high intensity light photons are simultaneously absorbed thereby reducing the light transmission through the medium. Unfortunately, in gold nanoparticle optical limiters a second nonlinear process can arise – saturated absorption which leads to an increase …
- Study level
- Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Laser light sensors that see through containers
Raman scattering has been used as a powerful 'fingerprinting' technique for more than 80 years, and is widely used by security and law enforcement for detecting hazardous threats. To better safeguard the community, QUT has developed a unique eye -safe laser Raman sensing system for detecting threats, that works at distance from a target (> 10 m) and operates in real time. Increasingly however, threats are being concealed in order to avoid detection. This project will investigate what range of …
- Study level
- Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Growth and characterisation of epitaxial graphene for electronic and sensing applications
The extraordinary properties of graphene, a single sheet of carbon atoms (e.g. monodimensional structure, high conductivity, low-noise characteristics) are expected to be exploited in the next generation of electronic devices and gas sensors. These applications require a perfect control of the growth of graphene layers, and an optimum integration with the processes and materials used in the semiconductor industry.This project aims at studying the growth of graphene obtained by heating crystalline SiC at high temperature in Ar atrmosphere and ultra …
- Study level
- Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Two dimensional heterostructures on SiC for new electronics
The present electronic technology is approaching the limit to the smallest circuit element achievable, and the future electronic devices will depend critically on the development of novel approaches. Two dimensional materials seem to offer an exciting perspective, and the advent of graphene (a single layer of carbon atoms in a honeycomb structure) sparked a huge interest, but its application to electronics are limited by the absence of a band gap.A new perspective has been open by other 2D materials which …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Materials Science
Physics-informed machine learning
Recent advances in computer vision have demonstrated superhuman performance on a variety of visual tasks including image classification, object detection, human pose estimation and human analysis. However, current approaches for achieving these results center around models that purely learn from large-scale datasets with highly complex neural network architectures. Despite the impressive performance, pure data-driven models usually lack robustness, interpretability, and adherence to physical constraints or commonsense reasoning.As in the real world, the visual world of computer vision is governed by …
- Study level
- PhD, Master of Philosophy, Honours, Vacation research experience scheme
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
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
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
Low-cost portable Magnetic Resonance Imaging for clinical applications
The aim of this project is to develop accurate low-cost medical imaging methodology for pseudo-3D mapping of Mammographic Density (MD) within the breast. MD is the degree of radio-opacity (“whiteness”) in an X-ray mammogram. It has implications for breast cancer risk, ease of detection of breast cancer, and monitoring of the efficacy of hormonal breast cancer prevention or anti-cancer treatments.Healthcare ChallengeThere is a growing need for affordable and accurate quantitative assessment of MD without ionising radiation. Magnetic resonance imaging (MRI) …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Managing motion in radiotherapy treatments
The outcomes of radiotherapy treatments are influenced by patient motion such as breathing during the delivery of the treatment.A number of research projects are available to investigate and develop new techniques for measuring and managing motion during the radiotherapy treatment. These include imaging and surface measurement during treatment.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Biomedical Technologies
Monte-Carlo modelling in radiotherapy
Various research projects are available in the use of monte-carlo techniques in radiotherapy and medical imaging. These include modelling radiotherapy linear accelerators, radiobiology, patient dosimetric verification and in-vivo treatment verification using electronic portal imaging devices.span
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
- Research centre(s)
- Centre for Biomedical Technologies
Decoding failed SED fits: uncovering limitations and enhancing understanding in a massive galaxy survey
This research project seeks to explore the underlying factors contributing to unsuccessful Spectral Energy Distribution (SED) fits within a vast galaxy survey containing 60,000 galaxies. Employing the CIGALE (Code Investigating GALaxy Emission) algorithm, the study aims to uncover the reasons behind these failed fits, providing valuable insights into the limitations and challenges of SED fitting techniques. By enhancing our understanding of the physical properties of galaxies, we can pave the way for improved methodologies in analyzing and interpreting SED data.
- Study level
- Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
Investigating the impact of Active Galactic Nuclei on the rest-frame U-V and V-J colour-colour space
This research project seeks to investigate and understand the influence of Active Galactic Nuclei (AGN) on the rest-frame U-V and V-J colour-colour (UVJ) space of distant galaxies. Accurately accounting for AGN contamination in colour analyses is vital for disentangling the diverse physical processes occurring in galaxies hosting active nuclei. Through these investigations, we aim to gain crucial insights into the mechanisms that drive galaxy evolution and the underlying physics governing the large-scale structure of the universe.
- Study level
- Honours, Vacation research experience scheme
- Faculty
- Faculty of Science
- School
- School of Chemistry and Physics
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