Honours and Minor Thesis projects

This project aims to extend the existing knowledge on emotion regulation, looking to detect the impact of extrinsic regulation experiences in immersive environments on players and spectators. We will apply a multimodal sensing approach to detect emotional changes in the player using biometric data (electrodermal activity, heart rate, speech analysis, eye movement, pupil dilation), movement signals, and conscious emotional experiences.

Ghana has a population of over 27 million people, of which 1 in 15 may have a communication disability. The number of speech and language therapists (SLTs) available to support these people remains remarkably small (under 20 SLTs to support the entire population), presenting a major workforce challenge. As an emerging profession, there remain significant challenges around educating the first generation of SLTs. Ghana, however, has a healthy digital infrastructure which can be taken advantage of.

Over the past decades, we have witnessed the emergence and rapid development of deep learning. DL has been successfully deployed in many real-life applications, including face recognition, automatic speech recognition, and autonomous driving, etc. However, due to the intrinsic vulnerability and the lack of rigorous verification, DL systems suffer from quality and security issues, such as the Alexa/Siri manipulation and the autonomous car accidents, which are introduced from both the development and deployment stages.

Human Perception and Cognition in Visualization is a field of research that focuses on understanding how people perceive and understand visual representations of data. Many questions about how investigating visual representations of data can influence user perceptions, decision-making, and memory, are unanswered.

In this project, we aim at surveying relevant computational tools/models used for automatic question generation, and then comparing the effectiveness of these tools/models by using existing datasets.

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

Android is a mobile operating system that occupies 72.11% market share globally. As the most popular mobile operating system, the android mobile app industry has been active for over a decade, generating billions of dollars in revenue for Google and thousands of mobile app developers. Several third-party Android app stores in China are estimated to generate over $8 billion in yearly revenue. Meanwhile, the number of bugs and vulnerabilities in mobile apps is growing. In 2016, 24.7% of mobile apps contained at least one high-risk security flaw.

BARD: Bayesian Argumentation via Delphi [1] is a software system designed to help groups of intelligence analysts make better decisions. The software was funded by IARPA as part of the larger Crowdsourcing Evidence, Argumentation, Thinking and Evaluation (CREATE) program. The tool, developed at Monash University, uses causal Bayesian networks as underlying structured representations for argument analysis. It uses automated Delphi methods to help groups of analysts develop, improve and present their analyses.

This project will develop new technologies for supervised machine learning from time series building upon our world-leading and award winning research in the area. See my time series research for details of the research program on which this research will build.

The global health crisis has put mental health, emotional well-being, and the risks and importance of digital technologies into the global focus. According to a Lancet Commission report, the number of people with mental disorders is increasing in every country of the world and will cost the global economy US$16 trillion by 2030. Emotions have strong implications not only for mental well-being but also for physical health, e.g., down-regulating negative emotions can lower the risk of heart disease.