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 494 matching student topics
Displaying 433–444 of 494 results
Hierarchical forecasting: forecasting a collection of time series
Hierarchical forecasting is a method used to generate forecasts at multiple levels of aggregation within a structured hierarchy. This technique is particularly valuable in situations where data can be organised into a hierarchy based on different dimensions, such as geography, product categories, or time. The approach ensures that forecasts at the top levels (e.g. total sales) align with forecasts at the lower levels (e.g. regional or product-level sales), creating a coherent and consistent forecasting process across the entire hierarchy.In many …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
The human factors in self-service technology
Organisations are increasingly moving toward self-service technology (where consumers deliver services themselves using technological interfaces). While this increases organisational efficiencies, it has the potential to significantly impact customer engagement with the organisation. We're seeking a Masters or PhD student to investigate the human factors involved in self-service technology delivery: How do situational factors impact consumers' adoption of self-service technologies? What motivators and inhibitors impact self-service technology usage? Do consumers always respond appropriately within self-service environments? The successful applicant for this …
- Study level
- PhD, Master of Philosophy
- School
- null
- Research centre(s)
- null
null
Exploring organisational culture and employee change attitudes in nonprofit human service organisations.
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Management
Scene Understanding for Underwater Imagery
Underwater ecosystems, including coral reefs and seagrass meadows, play a critical role in maintaining marine biodiversity, providing coastal protection, and supporting fisheries and tourism economies that millions depend upon globally. These habitats are increasingly vulnerable to climate change, pollution, and other anthropogenic impacts, demanding urgent efforts to monitor and restore them. Accurate scene understanding of underwater imagery enables fine-scale ecosystem monitoring across spatial and temporal scales, supporting essential activities such as habitat and biodiversity assessment, validation of aerial and remotely …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
Metal halide perovskite solar cell performance based on impurity profiles from Australian sourced precursor materials
Australia has the potential to lead globally in supplying precursor materials for next-generation metal halide perovskite solar cells, leveraging its abundant critical minerals and strong mineral processing capabilities with an innovative "mineral to precursor to final product" strategy.This project will demonstrate the performance of next-generation metal halide perovskite solar cells using Australian sourced materials, complimented with computational modelling to understand the elemental interactions of any impurities.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Recovery of metal halide perovskite precursors from Australia sources
Investigate, model and experiment on the extraction and recovery of cations and anions, used in the synthesis of perovskite solar cells, from Australian resources.Australia has the potential to lead globally in supplying precursor materials for next-generation metal halide perovskite solar cells, leveraging its abundant critical minerals and strong mineral processing capabilities with an innovative 'mineral to precursor to final product' strategy.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Construction materials in extreme chemical and thermal processing environments
Investigate and identify materials that can be used to construct chemical plants using extreme chemicals and processing conditions.Australia has the potential to lead globally in supplying critical minerals for current and emerging energy technologies, however the extraction and recovery of these minerals are requiring more aggressive chemicals and processing requirements that are not suitable for traditionally used construction materials, such as stainless steel.Thus, this project will perform experimental material testing on a range of construction materials under extreme chemically corrosive …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Tracking small bones for robotic surgery
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
Dexterous tools with variable stiffness for minimally invasive surgery
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
Combining solar and vibration energy harvesting for rainfall prediction
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
Leveraging Big Data and AI/ML for Smart Transport Solutions
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
Alignments In Process Mining and Social Sequence Analysis
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
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