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A secure and compatible architecture for IoT solutions

IoT devices may work under server resource constrains. Addressing security controls, performance management and interoperability become a great challenge.

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Deep learning architectures

This project reviews deep learning architectures in the literature and investigates improvements for state-of-the-art algorithms.

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Visual chatbot (AI)

This project aims to create an Artificial Intelligence (AI) agent that can have a natural-language dialogue with humans about the content of an image or a video.

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Deep learning for iris recognition

This project investigates deep learning techniques including Convolutional Neural Networks (CNNs) to perform identity recognition based on the iris region.

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

HTC Vive (VR) mixed reality kitchen training framework

There has been little research in the intellectual disability (ID) training domain to synthesise a mixed reality UI framework that assists with the provision of lifestyle training services. Such an approach, we postulate, should provide higher levels of engagement than traditional computer training, and greater integration of cognitive and physical skills knowledge to provide scalable training solutions to support skill acquisition services to large numbers of customers.In this project you will develop a mixed reality framework (utilising a HTC Vive, …

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Hydrophobic and anti-fogging coatings for better endoscopic imaging

Keyhole surgeries rely on the use of so-called endoscopes that are essentially camera-guided instruments. Surgeons heavily rely on the visual feedback provided by such endoscopes in performing minimally invasive surgeries. However, the image quality provided by such endoscopes is routinely compromised when body fluids and fogging occlude the lens.In this project you will explore the use of novel nanomaterial in the role of hydrophobic and anti-fogging layer towards preventing the vision loss after repeated submersions in synthetic blood and similar …

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Deep learning for manta recognition

Despite impressive results in object classification, verification and recognition, most deep neural network based recognition systems become brittle when the view point of the camera changes dramatically.Robustness to geometric transformations is highly desirable for applications like wild life monitoring where there is no control on the pose of the objects of interest.The images of different objects viewed from various observation points define equivalence classes where by definition two images are said to be equivalent if they are views from the …

Study level
PhD, Research Masters
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Triplet energy transfer in organic solar cells

The physical process of singlet exciton fission permits conversion of one singlet exciton (S1) into two low energy triplet excitons (T1). This happens when two neighboring molecules form a triplet intermediate state that is of singlet character, which then breaks down at ultrafast time scales into two triplet states via S1 + S0 → T1 + T1.The potential to have multiple charge carriers per absorbed photon in singlet fission (SF) active organic materials has attracted much attention for the enhancement …

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Tank commander mixed reality game

The premise of this project is to develop a mixed reality experience tank commander simulator, in a similar vein to War Thunder.However, the end goal is to provide a virtual reality experience tied to radio controlled tanks by mounting a 360 camera to the cupola of a 1/16 scale model tank. See this YouTube video for an example.The project will commence as an initial Unity-based VR experience, with a voice commanded model tank in VR. The intention is to lay …

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Electrical Engineering and Computer Science

Machine learning-based process models

In collaboration with CRC ORE, our researchers are working on how process mining can be synthesised with machine learning techniques to analyse streaming process data, such as sensors readings from devices in an ore processing plant, to profile and predict their performances.Related publicationsKim, N.H., An, D. and Choi, J.H., 2017. Introduction. In Prognostics and Health Management of Engineering Systems (pp. 1-24). Springer International Publishing.Srivastava, A.N. and Han, J. eds., 2011. Machine learning and knowledge discovery for engineering systems health management. …

Study level
PhD
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

Responsible process mining

Conducting process mining analyses could inadvertently produce outcomes that may have undesirable consequences, for example, violation of employees’ privacy.Related publicationsvan der Aalst, W.M., Bichler, M. and Heinzl, A., Responsible Data Science. Springer

Study level
PhD
Faculty
Science and Engineering Faculty

How do online communities increase the resilience of older people?

Decision making by older people is complex with many options and sources of information which can be overwhelming, intimidating and very confusing. With an ageing Queensland population, enabling older people with technologies to enhance their resilience and decision-making capabilities is vital.Online communities provide older people with opportunities for information sharing and learning, for companionship and social support, for assisting with decision making, and for reducing isolation. This project will investigate the role of online communities in empowering older people to …

Study level
PhD, Research Masters, Honours
Faculty
Science and Engineering Faculty
Lead unit
School of Information Systems

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