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Honours and Minor Thesis projects

Displaying 1 - 10 of 199 honours projects.


Primary supervisor:

The increasing integration of Large Language Models (LLMs) into various sectors has recently brought to light the pressing need to align these models with human preferences and implement safeguards against the generation of inappropriate content. This challenge stems from both ethical considerations and practical demands for responsible AI usage. Ethically, there is a growing recognition that the outputs of LLMs must align with laws, societal values, and norms.

Primary supervisor:

The last several years have witnessed the promising growth of AI-empowered techniques in mobile devices, from the camera to smart assistants. Users can find traces of AI in almost every aspect of mobile devices.

Primary supervisor:

With the glow of digital information techniques, mobile systems are powerful ever and occupying more market shares. Just like wildly used social media sites, e.g. Facebook and Twitter, smartphone usage is up to 80% by 2020. In parallel to this trend, many companies are trying to incorporate Artificial Intelligent especially deep learning empowered applications into devices to further ease the life of people.

Primary supervisor:

Graph neural networks (GNNs) are widely used in many applications. Their training graph data and the model itself are considered sensitive and face growing privacy threats.
 

Primary supervisor: Sadia Nawaz

This opportunity is tailored for master’s students who eager to engage in academic research under the mentorship of research-active academics. This project provides technical and research guidance from your supervisory team.

 

Project description

Primary supervisor: Sarah Goodwin

NOTE THIS IS A SUMMER INTERNSHIP PROJECT FOR SUMMER 2024 (Nov 2024-Feb 2025). THIS IS NOT A HONOURS OR MINOR THESIS PROJECT. 

There may be an opportunity to work on this project as an honours/minor thesis project in S1 2025. 

Primary supervisor: Sarah Goodwin

NOTE THIS IS A SUMMER INTERNSHIP PROJECT FOR SUMMER 2024 (Nov 2024-Feb 2025). THIS IS NOT A HONOURS OR MINOR THESIS PROJECT. 

 

There may be an opportunity to work on this project as an honours/minor thesis project in S1 2025. 

This project is an exciting opportunity to work on a multidisciplinary project exploring new and immersive visual communication of complex ecosystems. You will work on this internship as part of a wider research project collaboration between human-centred computing experts and water engineer experts in engineering and chemistry. 

Primary supervisor: Hao Wang

Electricity is an essential part of modern life and the economy. Driven by a combination of policy support and rapidly falling costs of low-carbon technologies, Australia is experiencing a sharp rise in the deployment of distributed energy sources (DERs). Typical DERs include wind, solar photovoltaics (PV), battery storage, and electric vehicles (EVs) on the consumer side.

Primary supervisor: Hao Wang

Thanks to the widespread deployment of smart meters, high volumes of residential load data have been collected and made available to both consumers and utility companies. Smart meter data open up tremendous opportunities, and various analytical techniques have been developed to analyse smart meter data using machine learning. This project will provide a new angle toward energy data analytics and aims to discover the consumption patterns, lifestyle, and behavioural changes of consumers.

Primary supervisor: Hao Wang

The rapid growth of electric vehicles (EVs) is transforming the transportation systems worldwide. Both EV fleets and private EVs are emerging as a cleaner and more sustainable component of urban mobility, forming an effective way to solve environmental problems and reduce commute costs in future smart cities. Due to the complex spatiotemporal behaviors of passengers and their travel patterns, the unmanaged electric charging demand from EVs may significantly impact the existing transportation and electrical power infrastructure.