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analysis. Additionally, experience in healthcare informatics, user experience research, and a commitment to improving mental health services are highly desirable. Project funding Project based scholarship
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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). Proxsituated visualization: An extended model of situated visualization using proxies for physical referents. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (pp. 1-20). [3
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of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones
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. They generally rely on expert rules or machine learning models to provide health advice. Recently, generative AI tools, such as ChatGPT, have become a popular focus of research. In healthcare, they show strong
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innovative approaches to enhance privacy in ML models, algorithms, and workflows, with a particular emphasis on preserving confidentiality while maintaining the utility and accuracy of the learned models
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this work we will use Theory of Mind (ToM) to reason about the mental models of the actors involved in AI systems, designers, agents and users and expand on the "Model Reconciliation Problem" or reconciling
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In many branches of science (e.g., Artificial Intelligence, Engineering etc.), the modelling of the problem is done through the use of functions (e.g., f(x) = y). On a very high-level, we can think
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, decision-making processes, and even democratic institutions. Large language models (LLMs) have shown tremendous potential in natural language understanding and generation. This research aims to harness
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal