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 488 matching student topics
Displaying 421–432 of 488 results
Enhancing clinical decision-making through AI-assisted agents
Artificial Intelligence (AI) has shown tremendous potential in revolutionizing healthcare delivery. This research focuses on developing AI agents that can augment clinical decision-making processes, ultimately improving patient outcomes. The project aims to explore and design novel AI architectures that integrate disparate medical data sources, providing context-aware recommendations for diagnosis, treatment planning, and care coordination. Despite the promising applications of AI in healthcare, significant challenges remain in integrating these technologies into clinical practice effectively and safely.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Health
- School
- School of Public Health and Social Work
Decision optimisation in energy supply chain
this project aims to develop integrated forecasting and decision optimisation models for renewable energies.
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Probabilistic forecasting of energy
This project aims to develop probabilistic forecasting models for renewable energies vi a Bayesian approach. The models will be developed for very short term and short-term (10 minutes to 24 hours ahead).
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Spatio-Temporal Forecasting of renewable energies
This project aims to develop short-term (up to 24 hours ahead) forecasting models that take into account the spatial as well as temporal information in wind farms and solar farms. Such models are useful for operational planning in farms and stabilising the network.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Social dilemmas among unequals
Inequality is often seen as a factor that negatively affects economic and social components of our everyday life. There are many ways how the inequality can be addressed. However, one thing we seem to understand now is that it is nearly impossible to prevent inequality from occurring in the first place.This project, one of a few, seeks to understand if and how can we incentivise pro-social behaviours in groups of unequals. Instead of un-doing inequality, we seek to find ways …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Asymmetric information in social dilemmas
Information about the state of the environment can be critical for promoting environmentally friendly and socially beneficial behaviors when people are facing social dilemma choices. However, it is not clear if individuals will be willing to spread this information for the benefit of everyone else. This project aims to understand how socially beneficial actions propagate when information is asymmetric.
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
Critical, historical, social or cultural examinations of law and technology
Continuing my 25 years of researching law and technology and growing an international research community on law, technology and humanities, I strongly welcome PhD students wanting to think more deeply about law and technology. I especially encourage projects drawing upon critical and theoretical perspectives, historical examinations, socio-legal methods, or drawing upon cultural legal studies. In addition to students studying emerging technologies, I also encourage projects looking at legacy or everyday technologies.
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
- Centre for Justice
Optimising inventory control and demand forecast accuracy though multi-objective optimisation
In today’s competitive business environment, effective inventory management and accurate demand forecasting are critical for minimising costs and maximising profitability. This project aims to address these two challenges simultaneously by applying a multi-objective optimisation approach. The primary objectives are to improve demand forecast accuracy while optimising inventory control decisions, balancing trade-offs between conflicting business goals such as minimising stockouts, reducing excess inventory, and maintaining customer service levels.Traditional approaches to inventory management and demand forecasting often treat these processes separately, which …
- Study level
- PhD, Master of Philosophy, Honours
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
International Trade in the Asia-Pacific
This project seeks to map new developments in trade and investment law in the Asia-Pacific
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Business and Law
- School
- School of Law
- Research centre(s)
-
Australian Centre for Health Law Research
Exploring the potential of M-assisted survey estimators
The Australian Bureau of Statistics (ABS) conducts surveys to collect information from individuals, households and businesses in order to produce statistics and data products to help inform decision-making. Unlike a census, in which an entire population of interest is enumerated (e.g., all individuals residing in Australia), a survey collects information from only a sample (subset) of a population of interest. Estimators are then used to estimate quantities related to the population of interest using information from the sample. Currently, the …
- Study level
- PhD
- Faculty
- Faculty of Science
- School
- School of Mathematical Sciences
- Research centre(s)
- Centre for Data Science
Multiscale technology assessment of emerging CCUS processes
CO2 capture and utilisation is a promising, emerging climate technology. However, there is a great deal of uncertainty regarding its viability and economic impact. This project will be conducted in collaboration with an industry partner.
- Study level
- PhD
- Faculty
- Faculty of Engineering
- School
- School of Mechanical, Medical and Process Engineering
Advancing precision control in atomic force microscopy
To advance precision positioning control technology through instrumentation of an 800×800 μm XY positioning table, equipped with two piezoelectric actuators to manoeuvre samples under a microscope. Positioning control systems designers struggle with trade-offs between positioning accuracy, actuation range, response time, and cost.Our goal is to enhance the positioning systems, used in atomic force microscopes, to improve their imaging accuracy and resolution while reducing overall hardware costs. By quantising analogue positioning sensors to simulate low-resolution (low-cost) encoders, we will explore new …
- Study level
- PhD, Master of Philosophy
- Faculty
- Faculty of Engineering
- School
- School of Electrical Engineering and Robotics
- Research centre(s)
- Centre for Robotics
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