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 12 matching student topics
Displaying 1–12 of 12 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
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
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
The impact of automotive interior materials on user experience in the era of EVs
Materials play a crucial role in shaping people's perceptions, experiences, and emotional responses to the products they encounter. In automotive design, this significance is particularly pronounced within the interior cabin space, especially in the age of sustainability and electric vehicles (EVs).The materials utilised heavily influence how customers and users perceive the value, quality, and emotional aspects of their interactions. While numerous studies have examined the link between interior materials and traditional internal combustion engine (ICE) vehicles, the advent of EVs …
- Study level
- PhD
- Faculty
- Faculty of Creative Industries, Education and Social Justice
- School
- School of Design
- Research centre(s)
-
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
Blast response and safety assessment of transport tunnels
Transport tunnels are important components of the transport systems in major cities. They can be vulnerable to bomb explosions caused by accidental or deliberate means.This project will evaluate the vulnerability of transport tunnels to credible blast events and the influence of key parameters. We'll then propose measures to mitigate the adverse effects of such explosions to maximise the safety of passengers, infrastructure and transport vehicles.
- Study level
- PhD
- Faculty
- Faculty of Business and Law
- School
- School of Accountancy
Mathematical tools for stochastic and continuum transport models
Mathematical models of particle transport are fundamental to many applied disciplines including physics, biology, ecology and medicine. Particle transport is typically modelled using either a stochastic model, where probability rules govern the motion of individual particles, or a continuum model, where partial differential equations govern the concentration of particles in space and time. This project aims to use analytical and numerical techniques from applied and computational mathematics to address one or both of the following questions:what is the average time …
- Study level
- Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
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