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 10 matching student topics
Displaying 1–10 of 10 results
Estimation and control of networked cyberphysical systems
Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as energy, transportation, manufacturing, healthcare. Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.This PhD project will develop engineering science and methods for the analysis and design of CPS operating in closed loop. Your research will bring together elements of control systems engineering, as …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Estimation and control of networked cyberphysical systems
Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as:energytransportationmanufacturinghealthcare.Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.We're interested in developing engineering science and methods for the analysis and design of CPS operating in closed loop. Our research brings together elements of control systems engineering, as well as telecommunications and reinforcement learning.The current …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
Investigating the application of sustainable AI practices in construction
The construction industry plays a vital role in the global economy and there is a growing interest in utilising artificial intelligence (AI) to improve its productivity and efficiency. Despite the industry's significant contribution to the economy, it has faced challenges such as large cost overruns, extended schedules, and quality concerns. Nevertheless, AI is making significant strides to remove these issues by revolutionising various aspects of the construction industry. This is evident from enhancing project planning and design to improving construction …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Topics in computational Bayesian statistics
Bayesian statistics provide a framework for a statistical inference for quantifying the uncertainty of unknowns based on information pre and post data collection.This information is captured in the posterior distribution, which is a probability distribution over the space of unknowns given the observed data.The ability to make inferences based on the posterior essentially amounts to efficiently simulating from the posterior distribution, which can generally not be done perfectly in practice.This task of sampling may be challenging for various reasons:The posterior …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Estimating the evolutionary history of plasmids and viruses
In the case of cellular life - bacteria, archaea and eukaryotes - determining the 'tree of life' is a comparatively well-studied problem.This vertical evolutionary history can be estimated using concatenated gene phylogenies, where single copy marker genes are concatenated into a single multiple sequence alignment which is then used in a phylogenetic tree reconstruction algorithm.Viral genomes and plasmid sequences, meanwhile, are more challenging to fit into a phylogenetic framework.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
-
Centre for Microbiome Research
Investigation of host tissue response to synthetic pelvic meshes in patients with complications
Pelvic organ prolapse (POP) is a prevalent disease affecting 37% of asymptomatic women. Pelvic mesh implantation is a common surgical procedure employed to treat stress urinary incontinence, rectal prolapse and pelvic organ prolapse. However, the use of pelvic meshes can cause complications such as erosion, infection, pain and discomfort, which sometimes require further surgery. In Australia, in November 2017, the TGA banned transvaginal mesh for prolapse. Currently, women with complications from their pelvic mesh may opt to have them surgically …
- Study level
- Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
- Research centre(s)
- Centre for Biomedical Technologies
Investigation of genetic factors that contribute to concussion and its outcomes
The health outcomes from traumatic brain injuries (TBIs) and concussion depend on the nature of the injury, but response also varies greatly between individuals, suggesting that genetic factors may play a role. In particular, due to effects of head trauma on balances of ions, neurotransmitters and energy use in the brain, there is suggestion that variation in the genes that encode proteins involved in these pathways, e.g. ion channels, may affect the risk of, as well as response to a …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Health
- School
- School of Biomedical Sciences
Efficient parameter estimation for agent-based models of tumour growth
Cancer is an extremely heterogeneous disease, particularly at the cellular level. Cells within a single cancerous tumour undergo vastly different rates of proliferation based on their location and specific genetic mutations. Capturing this stochasticity in cell behaviour and its effect on tumour growth is challenging with a deterministic system, e.g. ordinary differential equations, however, is possible with an agent-based model (ABM). In an ABM, cells are modelled as individual agents that have a probability of proliferation and movement in each …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Efficient Parameter Estimation for Stochastic Simulations
Stochastic simulation-based models are routinely used in many areas of science to describe inherent randomness in many real-world systems. Applications include the study of particle physics, imaging if black holes, biochemical processes, the migration of animals, and the spread of infectious diseases. To apply these models to interpret data requires statistical methods to estimate model parameters.Unfortunately, standard statistical techniques are not capable of analysing data using these models. This is largely due to the model likelihood, the probability of the …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Travellers' perceptions of short break holiday destinations
Brisbane residents are spoiled by choice of short break holiday destinations within a comfortable drive. This topic offers participation in an ongoing project monitoring perceptions held by Brisbane residents (since 2003) of the Gold Coast, Sunshine Coast, Northern NSW, Fraser Coast and Bundaberg North Burnett. For each of these destinations, the Brisbane market represents the largest source of visitors, and understanding consumer perceptions represents important marketing research for the destination marketing orgnisations.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Business and Law
- School
- School of Advertising, Marketing and Public Relations
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