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 14 matching student topics
Displaying 1–12 of 14 results
Transport big data analytics: Imputing missing data
The missing data problem is often unavoidable for real-world data collection systems because of a variety of factors, such as sensor malfunctioning, maintenance work, transmission errors, and so on. Filling in missing information in a dataset is an important requirement for many machine-learning algorithms that require a complete dataset as input. Data imputation algorithms aim at filling the missing information in a dataset. Many missing data imputation techniques exist in the literature, with applications demonstrated on various types of datasets. …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Proactive micromobility safety assessment using AI-based video analytics and traffic conflict techniques
A fully funded PhD scholarship is available in the School of Civil and Environmental Engineering at Queensland University of Technology (QUT) as part of a newly awarded Australian Research Council (ARC) Discovery Project titled 'Shaping net-zero cities with safe and efficient micromobility solutions'.This PhD project will investigate the behavioural and safety interactions between pedestrians, micromobility users (e.g. e-scooters and e-bikes), and other road users in shared urban environments. The research will combine AI-based video analytics, trajectory analysis, behavioural modelling, and …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Designing infrastructure for AVs in rural and remote Australia: built environment futures
As automated vehicles (AVs) begin to operate beyond controlled industrial environments and into the complex realities of rural and remote public roads, existing infrastructure must evolve to support their safe, reliable, and socially accepted deployment. From road geometry and signage to connectivity, rest stops and ecosystem interfaces, the built environment will play a critical role in enabling AV integration. However, rural infrastructure is often underfunded, poorly maintained, or not designed with automation in mind. Working within the ARC Training Centre …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Future Mobility/CARRSQ
Design Lab
Next-generation traffic signals for Safe, Efficient and Green Intersections
There is a full PhD scholarship available in the School of Civil and Environmental Engineering at Queensland University of Technology (QUT) to support the newly awarded ARC Linkage Project on Next-generation traffic signals using artificial intelligence-based video analytics for safe, efficient and green intersections. The stipend has a cash value of $32,500 per annum for 3 years.To apply for this position, please submit the following documents via email to m1.haque@qut.edu.au:a detailed curriculum vitae (CV) highlighting academic achievements, research experience and …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
Driver engagement and risk in automated driving: Advanced data analytics leveraging driver monitoring systems
The project aims to the explore concept of empathic machines in the context of driver monitoring systems (DMS) and automated driving. The successful candidate will contribute to advancing the understanding of driver engagement, situation awareness, and risk through leveraging advancements in data science techniques on vehicle sensor, DMS, and other related datasets.To apply for this position, please submit the following documents:a cover letter outlining your research interests, relevant qualifications, and motivation to join the Empathic Machines projecta detailed curriculum vitae …
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Civil and Environmental Engineering
- Research centre(s)
- Centre for Data Science
Centre for Future Mobility
Designing micromobility for equitable and responsible use
Shared electric micromobility (e.g., e-bike, e-scooter) schemes are common in Australian cities, and all over the world. Despite their rapid growth in recent years, there are many challenges faced by operators and local jurisdictions. This includes Illegal and antisocial behaviours, inconveniences caused by vehicle placement, inequitable access, and narrow rider demographics (i.e., gendered activity with predominantly young male users).Electric micromobility is positioned as an important transport modality as urban populations expand and there is increasing strain placed on existing transport …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
Design Lab
Exploring a vision for Olympic mobility
This PhD project explores innovative mobility concepts and strategic frameworks to support inclusive, safe, efficient, fun and sustainable transport for the Brisbane 2032 Olympic and Paralympic Games. With the games as a catalyst, the research investigates how major events can accelerate long-term mobility transformation, focusing on accessibility, active and public transport, integrated infrastructure, and emerging technologies. It will critically evaluate current transport planning in South East Queensland, benchmark international mega-event mobility strategies, and engage with diverse stakeholders including government agencies, …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
- QUT Design Lab
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
Better bus stops for climate, context, and community
Bus stops are crucial touch points for a public transport system, and have the potential to impact human health and wellbeing, as well as rider experience. As a ubiquitous aspect of the urban fabric within a city, bus stops impact the character and function of the streetscape and their design can impact people’s experiences within the public realm. Yet their role in shaping everyday places is usually neglected and is under researched. In addition, with increased temperatures and extreme weather …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Engineering
- School
- School of Architecture and Built Environment
Scheduling of vessel movements in channel constrained ports
International trade is heavily reliant on maritime transportation which constitutes 80% of total volume. Ports have a significant impact on the efficiency of maritime transportation, with significant delays to vessels observed in accessing or departing ports. These delays can be a result of constraints on wharf capacity, channel capacity, access to tugs and pilots, or a combination of these factors. This project will focus on the development of novel operations research techniques to optimise the efficiency of scheduling vessel movements …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
First Nations transport justice
First Nations people experience significant transport injustice. Access to safe and reliable transport is essential for community and cultural health. Further transport is often a vector for the overt policing and criminalisation of First Nations peoples. Projects that engage with transport justice for First Nations peoples from legal, social science or criminology perspectives are strongly encouraged.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
- Centre for Justice
The economics of transport and work-related injuries in Australia: a population-based cohort study
Injury is a major contributor to mortality, morbidity, and permanent disability, and imposes a significant burden on the Australian health system. A better understanding of the burden, models of care, and economic drivers of injury will help design cost-effective injury prevention and treatment strategies to minimize the incidence and burden of the disease while improving injury outcomes.
- Study level
- PhD
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
- Research centre(s)
- Centre for Healthcare Transformation
Australian Centre for Health Services Innovation
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