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.

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Found 494 matching student topics

Displaying 421–432 of 494 results

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

Developing and evaluating an evidence-based and practical system approach to reduce surgical site infections

A surgical wound is an incision in the skin that is made during a surgical procedure and generally expected to heal within two to four weeks by primary intention in an orderly manner through the normal wound healing process. However, this process can be disrupted by many factors, leading to complications such as wound dehiscence, non-healing wounds, surgical site infections and sepsis. On average, there are 11 surgical wounds infected for every 100 surgical wounds and these surgical site infections …

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Nursing
Research centre(s)
Centre for Healthcare Transformation

A sense of touch for robots

Touch, or awareness of contact, is one of the key challenges in robotics, particularly in the soft and highly deformable environment of the human body. This project will explore the development and use of interferometric filters to quantify contact pressures through spectral changes in reflected light. Thus a quantitative 'image' of force may be created to both characterise and guide robot-tissue interactions.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Dual mode ultrasonics

This project develops a new approach to ultrasonic sensing, sending and receiving high frequency acoustic pulses from a low frequency platform to modulate spectral content and microscale spatial offsets. In doing so, it will give surgical robotics platforms access to the rich array of physical information in acoustic pulses, which can be used to characterise tissues encountered during surgery and guide the robot in the intervention itself.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

Active stroke rehabilitation orthotic 

An active stroke rehabilitation orthotic is needed to assist the multitude of people affected by stroke each year. Several prototype hardware systems have been constructed, so we know the concept is feasible. Development for medical approval and manufacture is needed. Plus, artificial intelligence that adapts the rehabilitation strategies to help users

Study level
PhD
Faculty
Faculty of Engineering
School
School of Electrical Engineering and Robotics
Research centre(s)
Centre for Robotics

Bridging the gap: leveraging AI to improve healthcare access

Access to quality healthcare remains a significant challenge in many parts of the world, often due to geographic and financial barriers. This research explores how artificial intelligence (AI) can address the challenges of geographic and financial barriers in accessing healthcare. The project will focus on developing AI-powered solutions that enhance healthcare delivery, increase patient engagement, and reduce costs

Study level
PhD, Master of Philosophy
Faculty
Faculty of Health
School
School of Public Health and Social Work

Bayesian focused learning

Forecasting renewable energy production is crucial for ensuring stable and sustainable energy grids. Traditional approaches often involve a two-stage process: first, energy production forecasts are generated, then decisions, such as how much energy to produce from various sources (wind, solar, fossil fuels), are made based on those forecasts. This disjointed process, where forecast accuracy and decision-making optimization are treated separately, can lead to sub-optimal outcomes due to conflicting objective functions.The goal of this project is to bridge these stages by …

Study level
PhD, Master of Philosophy, Honours
Faculty
Faculty of Science
School
School of Mathematical Sciences
Research centre(s)
Centre for Data Science

Achieving a sub-micrometer surgical robot end-effector via hybrid sensing

When operating with a tool within the human body in the context of a medical procedure, it is crucial to be able to keep track of the pose of the tool. This project will develop a hybrid approach to end effector pose estimation by combing optical tracking with other sensor inputs (e.g. force, sound, acoustic emissions) to compliment and improve tracking accuracy with applications towards orthopaedic surgical robots. This project is part of a broader collaboration with industry partner Stryker.

Study level
PhD
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering
Research centre(s)
Centre for Biomedical Technologies

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