Student topics

The prospects of smart urban technologies range from expanding infrastructure capacity to generating new services, from reducing emissions to engaging the public, from minimising human errors to improved decision-making, and from supporting sustainable development to improving performances of commercial enterprises and cities. The most popular technologies in the context of cities include, but are not limited to, internet-of-things (IoT), autonomous vehicles (AV), Mobility-as-a-Service (MaaS), bigdata, 5G/6G, robotics, blockchain, cloud computing, 3D printing, augmented and virtual reality (AR/VR), digital twins and …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Architecture and Built Environment

Dr Scott Kiel-Chisholm is looking for PhD/MPhil candidates considering the legal dimensions from the development and adoption of neural interfaces. We are interested in looking for candidates looking at civil and criminal implications, comparative legal analysis and the legal and quasi-legal implications of neural interfaces for supra-legal institutions like the WTO and the EU. This topic is led by the QUT School of Law within the Datafication and Automation of Human Life research group.

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Business and Law

School

School of Law

Our research in the space of advanced quantitative medical imaging is investigating how to use ultrasound as a real time volumetric mapping tool of human tissues, to guide in a reliable and accurate way complex medical procedures1. We have developed several novel methods which make use of the most cutting-edge artificial intelligence technology2. For example, to show where the treatment target and the organs at risk are at all times during treatments in radiation therapy3, 4; or to inform robots …

Study level

PhD, Master of Philosophy

Faculty

Faculty of Health

School

School of Clinical Sciences

Research centre(s)

Centre for Biomedical Technologies

Professor Belinda Bennett is interested in talking to students who wish to undertake research on legal issues related to technology, innovation and health, regulation of innovative health technologies, legal issues related to genomics, the use of artificial intelligence in health care, and the use of robotics in health care.

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

To fully integrate deep learning into robotics, it's important that deep learning systems can reliably estimate the uncertainty in their predictions. This allows robots to treat a deep neural network like any other sensor and use the established Bayesian techniques to fuse the network’s predictions with prior knowledge or other sensor measurements or to accumulate information over time.Deep learning systems typically return scores from their softmax layers that are proportional to the system’s confidence. They are not calibrated probabilities and …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

The adoption of electric vehicles and grid storage systems by the present day consumers has been phenomenal. The most critical issue with the lithium-ion (Li-ion) battery is how to manage its degradation.Understanding battery degradation mechanisms and the development of charging strategies to optimally manage battery degradation is very important. There are a number of important issues that need to be addressed carefully, such as thermo-electrochemical modelling of large battery packs and fast charging protocols.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

There's a growing interest by many governments and industry sectors on dynamic wireless power transfer systems for electric vehicle charging. This means there's increased research intensity in this domain. However, there are numerous important issues that need to be addressed carefully, such as:load estimationsensorless vehicle position estimationrobust controlimproved power converter topologies.

Study level

PhD, Master of Philosophy

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Augmented reality (AR), or mixed reality, has become a mature technology with many possible practical applications in manufacturing, retail, navigation and entertainment.We're interested in using AR to support human-robot interaction. In this project, you'll investigate how a human can use AR to better understand how a robot perceives the world and to understand the robot's intentions.

Study level

Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Underwater robotic systems have been in use for several decades. In recent years, various groups have been adding manipulators and other payloads to increase their utility. However, their role has primarily been monitoring and mapping the oceans without human interaction.The next frontier is to have human divers and robotic system collaborate safely and productively in the same space to jointly complete complex tasks. This will involve the robotic system directly understanding and interacting with the diver in a non-verbal manner. …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

Single robotic systems can't accurately measure dynamic processes and map large areas in challenging environments. However, managing multiple robotic systems simultaneously poses many challenges around coordination and control. This is particularly true in environments where there's a lack of communication with the system. This project will explore multi-robot swarming and formation control to monitor, manage and track large-scale environmental phenomena.In this project, you will explore multi-robot swarming and coordinated formation control for dynamic process monitoring, target tracking and coordinated mapping. …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Research centre(s)

Centre for Robotics

Cyberphysical systems (CPS) integrate sensors, communication networks, controllers, dynamic processes and actuators. CPS play an increasingly important role in modern society, in areas such as:energytransportationmanufacturinghealthcare.Due to the interplay between control systems, communications and computations, the design of CPS requires novel approaches, which bridge disciplinary boundaries.We're interested in developing engineering science and methods for the analysis and design of CPS operating in closed loop. Our research brings together elements of control systems engineering, as well as telecommunications and reinforcement learning.The current …

Study level

PhD, Master of Philosophy, Honours

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics

Shiryaev's Bayesian Quickest Change Detection (QCD) problem is to detect a change in the statistical problems of an observed process. This is an important signal processing problem with application in a diverse range of areas, including:automatic controlquality controlstatisticstarget detection.Recently a critical deficiency in Shiryaev's QCD problem has been identified to occur due to the insufficient informativeness of measurement in low signal-to-noise (SNR) to overcome geometric prior assumption on the change event.These deficiencies are due to the non-ergodic nature of the …

Study level

PhD

Faculty

Faculty of Engineering

School

School of Electrical Engineering and Robotics