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Machine Learning on Health Data from Wearables
Machine Learning on Health Data from Wearables

About the Project Supervisory Team : Dr Zhiwu Huang, Dr Kate Farrahi This PhD project focuses on developing advanced machine learning methods to transform wearable biosignal data, like heart rate, … Read More Read More

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@luke.mc
What is Art? At the intersection of Artificial Intelligence and Art
What is Art? At the intersection of Artificial Intelligence and Art

About the Project Co Supervisor Prof Jonathon Hare This project explores the intersection of Artificial Intelligence (AI) and Art, examining how machine learning can contribute to artistic creation and expand … Read More Read More

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Art
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Multimodal Natural Language Processing for Computational Social Science
Multimodal Natural Language Processing for Computational Social Science

About the Project This PhD focuses on developing deep-learning techniques based on multimodal natural language processing (NLP), including large language models (LLMs), audio processing, computer vision (pose estimation, emotion recognition), … Read More Read More

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Interpretable Models: Bringing Transparency to Deep Learning Decision-Making
Interpretable Models: Bringing Transparency to Deep Learning Decision-Making

About the Project Co-supervisor: Dr Antonia Marcu To trust Deep Learning models in sensitive applications such as autonomous vehicles or healthcare, we need to better understand which information they rely … Read More Read More

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@luke.mc
Hypoxic-Ischaemic Encephalopathy early detection by using Image Analysis of MRI Susceptibility Weighted Imaging
Hypoxic-Ischaemic Encephalopathy early detection by using Image Analysis of MRI Susceptibility Weighted Imaging

About the Project Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier … Read More Read More

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@luke.mc
Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data
Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data

About the Project This PhD project is part of a cutting-edge research initiative aimed at developing transformative AI solutions for healthcare by leveraging big data to address key challenges in … Read More Read More

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@luke.mc
The evolution of written symbolic communication: The autonomous development of visual symbolic systems in artificial agents
The evolution of written symbolic communication: The autonomous development of visual symbolic systems in artificial agents

About the Project Supervisory team: Dr Jonathon Hare, Dr Daniela Mihai Studying written communication protocols emergent between artificial agents (e.g. modelled through Deep Neural Networks) provides fundamental insights into how … Read More Read More

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@luke.mc
Sustainable Generative AI Models
Sustainable Generative AI Models

About the Project Co-supervisor: Dr Zhiwu Huang This project aims to pioneer advancements in the efficiency of Generative AI Models (GenAI), focusing on achieving lower latencies and smaller model sizes … Read More Read More

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@artur.gevorgyan
PhD in Space Robotics and AI
PhD in Space Robotics and AI

About the Project Overview: Robots are pivotal in space exploration, deployed in orbit, planetary bodies, and on the ISS. In the new space economy, robots will soon tackle more complex … Read More Read More

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@sergio-diaz
CSC PhD studentship: Advancing disease progression prediction by AI with multimodality data
CSC PhD studentship: Advancing disease progression prediction by AI with multimodality data

About the Project In recent years, AI-based models have rapidly developed and achieved numerous successful applications in clinical practice. Some of the proposed tools have reached a level as real … Read More Read More

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