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Honours and Minor Thesis projects

Displaying 161 - 170 of 211 honours projects.


Primary supervisor: Penny Zhang

Despite an increase in the usage of AI models in various domains, the reasoning behind the decisions of complex models may remain unclear to the end-user. Understanding why a model entails specific conclusions is crucial in many domains. A natural example of this need for explainability can be drawn from the use of a medical diagnostic system, where it combines patient history, symptoms and test results in a sophisticated way, estimate the probability that a patient has cancer, and give probabilistic prognoses for different treatment options.

Primary supervisor: David Dowe

Expected outcomes: The student will learn inference and representation learning methods for network data. The knowledge can be easily used to analyse other networks, including but not limited to social networks, citation networks, and communication networks. A research publication in a refereed AI conference or journal is expected. A student taking this project should ideally have at least a reasonable background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants.

Primary supervisor: David Dowe

 Automation has affected employment at least as far back as Gutenberg, the introduction of the printing press and the effect on scribes and others. Such changes have occurred in the centuries since. In more recent times, we see electronic intelligence showing increasingly rapid advances, with examples including (e.g.) easily accessible, free, rapid and often somewhat reliable language translation. More recent advances include the increasing emergence of driverless cars.

Primary supervisor: Tanjila Kanij

User stories are a useful medium to represent requirements of an application. They usually follow a predefined format to represent a required functionality and/feature of an application. Those are prepared before application is developed and works as a source of reference through out the development process.

Primary supervisor: Tanjila Kanij

For the numerous benefits online shopping provides, their popularity has been on rise. Moreover, due to the recent COVID-19 pandemic online shopping has become a regular activity in most of the households. As such e-commerce application are being developed at different scale. All those may not understand the requirement properly and sometimes may have overlooked special end user needs. This work is designed to understand the requirements of the e-commerce applications and how personal characteristics of the end users can influence the requirements.

Primary supervisor: David Dowe

Theory and applications in data analytics of time series became popular in the past few years due to the availability of data in various sources. This project aims to investigate and generalise Hybrid and Neural Network methods in time series to develop forecast algorithms. The methodology will be developed as a theoretical construct together with wide variety of applications.

Primary supervisor: David Dowe

    DNA or RNA motif discovery is a popular biological method to identify over-represented DNA or RNA sequences in next generation sequencing experiments. These motifs represent the binding site of transcription factors or RNA-binding proteins. DNA or RNA binding sites are often variable. However, all motif discovery tools report redundant motifs that poorly represent the biological variability of the same motif, hence renders the identification of the binding protein difficult.

Primary supervisor: Yuan-Fang Li

Develop NLP tools to track politicians’ campaign promises on traditional and social media: With applications to Australian, Indian and/or US politics.

Primary supervisor: Vincent Lee

Issues and solutions exist on different aspects of the management of real-time data, such as persistence, visualisation, and online processing. This project is a research project to identify the significant issues of real-time data management in structural health monitoring (SHM), particularly for bridges, and implement an integrated software solution for enterprise usage. This project involves time series database design, visualisation and online processing of time series, and service-oriented and web-based software development.

Primary supervisor: Bioinformatics

This project focuses on the locomotion pattern of freely moving animals. The model organism we used is C. elegans, a transparent nematode about 1 mm, which displays a sinusoidal movement on the plates.