Honours and Masters project

This project is in collaboration with the Faculty of Dentistry, Airlangga University, Indonesia. We will explore the use of AI in dentistry, especially in dental medical imaging and periodontology (gum disease). Gum disease often causes bone loss in the furcation of a lower molar (see picture below). A furcation involvement, also called a furcation invasion, is an area of bone loss at the branching point of a tooth root.

AI has been increasingly used in Medicine. There are big opportunities for AI in medical research, including medical imaging diagnosis. AI and Deep Learning have been used to detect and classify lesions in various diseases, such as cancers. 

Are you interested in working with hospital data? This project is a collaboration with the Faculty of Medicine, Monash University. In this project, you will be working with medical doctors from Monash Health. 

This project aims to develop a historical map of greater Melbourne, showing its yearly road development and residential land use from 1966 to the present. You will learn how to use a geospatial DBMS and a geospatial visualisation tool. 

Are you interested in biomedical? You could combine your data science and computing expertise to analyse DNA and genetics.

Are you interested in learning Quantum Computing from scratch? If yes, this project might be for you. Week by week, you will explore and learn the basics of quantum computing, focusing on data processing. You will answer questions such as what the limits of classical computing are, why new paradigms are needed, and where quantum computing may help.

Classical propositional logic (CPL) captures our basic understanding of the linguistic connectives “and”, “or” and “not”. It also provides a very good basis for digital circuits. But it does not account for more sophisticated linguistic notions such as “always”, “possibly”, “believed” or “knows”. Philosophers therefore invented many different non-classical logics which extend CPL with further operators for these notions.

Classical propositional logic (CPL) captures our basic understanding of the linguistic connectives “and”, “or” and “not”. It also provides a very good basis for digital circuits. But it does not account for more sophisticated linguistic notions such as “always”, “possibly”, “believed” or “knows”. Philosophers therefore invented many different non-classical logics which extend CPL with further operators for these notions.

Cyber Threat Intelligence (CTI) plays a vital role in today's cybersecurity landscape by collecting and analysing data about current and potential threats, providing insights to better understand, mitigate and respond in this ever-evolving environment. A core component of CTI is the identification of adversarial Tactics, Techniques, and Procedures (TTPs), which describe how attackers operate at a strategic and operational level.

Organisations continuously face cyberattacks that generate large volumes of security alerts from intrusion detection systems, SIEM platforms, and other security monitoring tools. Many of these alerts may be false positives, low priority, or related to different stages of the same attack. Analysing individual alerts in isolation can therefore overwhelm security analysts and make it difficult to identify the threats that require immediate attention.