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Numerical study and parameter estimation for fractional order epidemic models

In the last decades, some epidemic diseases have been found to cause problems whose magnitude has increased dramatically. The World Health Organization (WHO) recently stated that it is the most important arthropod-borne viral disease of humans.These epidemic diseases include dengue, HIV/AIDS, H1N1, Leptospirosis, Measle, SIR, SIRC, SEIR, Salmonella Bacterial. Fractional derivatives epidemic systems have also been used to deal with some epidemic behaviors.This proposal aims to carry out innovative and novel research on developing effficient, robust, accurate computational models and …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Wide field-of-view vision-based aircraft detection

Small-to-medium-sized fixed-wing unmanned aircraft vehicles (UAV) have an incredible range of potential applications in civilian operations including:disaster assessmentsearch-and-rescueenvironmental and infrastructure monitoringremote sensing in agricultureproduct delivery.The national airspace is heavily regulated with strict rules and safety layers designed to mitigate the risk of mid-air collisions. The final safety layer corresponds to human pilots using their eyes and judgment to see and avoid potential mid-air collision threats.Sense and avoid (SAA) refers to the implied regulatory requirement that UAVs be capable of sensing …

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

Estimation of intramuscular fat content using ultrasound advanced imaging modalities

BackgroundThe increase in obesity prevalence is a major health concern in most developed countries. It has been suggested that increase in adiposity levels imposes a serious medical, social, economic, and psychological burden to society. In general, higher levels of body fat is strongly associated with higher rates of hypertension, cardiovascular disease, type 2 diabetes, depression and lower quality of life. Thus, obesity can directly cause a great impact on health care utilization and cost.The type and location of fat storage …

Study level
Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Chemistry, Physics and Mechanical Engineering

Camera-based positioning system for autonomous vehicles

This project will develop a camera-based positioning system for ground-based autonomous vehicles, including autonomous cars that enables low latency, highly accurate absolute positioning for vehicles relative to a pre-mapped environment.

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Robust pose estimation of objects using TensorFlow computation

Robust pose estimation of objects is needed for robotic application and human computer interfaces. Like most computer vision tasks, robust pose estimation becomes a challenging problem when the environmental conditions (like lighting and visibility) are not controlled.The approach we propose is to leverage the computational graphs that can be created in deep learning framework like TensorFlow. This approach opens up several strategies.For example, if a model of an object is available, a deep neural network can be trained to make …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Novel numerical methods and techniques for complex fractional dynamical systems and applications

In recent years, fractional models have attracted considerable interest because of their ability to model many phenomena. Anomalous diffusion phenomena are widely spread in nature and engineering. This proposal aims to carry out innovative and novel research on developing effficient, robust and accurate computational models for complex fractional dynamical systems. This project involves fractional dynamical systems; numerical methods: finite difference, finite element, finite volume, meshless, and spectral methods and applications.

Study level
PhD, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Computer vision and machine learning for wildlife abundance estimation

Wildlife surveys are a key tool used to manage threatened and endangered species. Historically, these have been performed manually, however a growing number of surveys are using drones and automated detection techniques to both reduce the cost and improve the overall accuracy. For this to be effective, the species of interest needs to be reliably detected in the target footage, and needs to be tracked to ensure that each animal is only counted once. QUT has already developed an approach …

Study level
Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Fractional dynamic models for viscoelastic non-Newtonian fluid

This project aims to develop a mathematical framework to investigate the memory effect and anomalous diffusion in viscoelastic, non-Newtonian fluids.We aim to generate new knowledge on the formulation and estimation of the multi-term fractional space-time models governing the flow and heat transfer of these fluids, based on recent advances in fractional calculus, computational methods and statistical techniques.We expect to uncover a new and efficient computational system to model the thermal properties as well as new insights into the mechanisms for …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Computational models of complex fractional dynamical systems with application to finance

During the last decades the valuation of an option has attracted considerable interest, which is one of the most important and popular financial derivatives in the financial market. Due to its simplicity and clarity in obtaining the price of the option, the classical Black–Scholes (B-S) (or Black–Scholes–Merton) options pricing model was proposed.However, the classical Black–Scholes model was established under some strict assumptions, such as frictionless, price changing smoothly and option be exercised at maturity. Specially, some empirical evidence has shown …

Study level
PhD, Master of Philosophy, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Efficient Bayesian computation for stochastic collective cell spreading models

New insights into biological processes such as skin cancer spread and wound healing can be obtained through collective cell-spreading experiments.These experiments involve placing cells in a dish and observing how the population of cells evolve under a variety of experimental treatments and conditions by taking images and using image processing tools.An important component for obtaining insight into these processes is the biological modelling and subsequent calibration of the model to real experimental data.Cells move and proliferate, give birth to other …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

Forecasting mosquito populations in response to meteorological variables

Being able to forecast changes in disease-carrying mosquito populations as a result of changes in rainfall and temperature would provide a powerful tool to public health bodies and also allow for more efficient application of biological control strategies.The invasive mosquito, 'Aedes aegypti', predominantly inhabits urban landscapes and is responsible for the spread of diseases such as Dengue, Zika and Chikungunya.It’s populations tend to decline during the cooler months and vary in the warmer months in response to rainfall events.Recent biological …

Study level
PhD, Master of Philosophy, Honours, Vacation research experience scheme
Faculty
Science and Engineering Faculty
Lead unit
School of Mathematical Sciences

The insufficient informativeness of measurements in Bayesian detection problems

Shiryaev's Bayesian Quickest Change Detection (QCD) problem is to detect a change in the statistical problems of an observed process. This is an important signal processing problem with application in a diverse range of areas including:automatic controlquality controlstatisticstarget detection and more.Recently a critical deficiency in Shiryaev's QCD problem has been identified to occur due to the insufficient informativeness of measurement in low signal-to-noise (SNR) to overcome geometric prior assumption on the change event.Essentially, these deficiencies arise due to the non-ergodic …

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

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