GTA Projects for 2024
Please select your preferred project and refer to the How to Apply section below before completing your application.
The application links are at the bottom of the web page.
Computing projects
- Dr Artur Boronat: Project 1 - Leveraging Mobile Technology and Machine Learning for Enhanced Visual Function Assessment in Inherited Retinal Diseases (docx., 24kb)
- Dr Artur Boronat: Project 2 - Smart Rehab: Personalised Paths to Recovery with Accelerometry (docx., 22kb)
- Dr Fuxiang Chen: Project 1 - AI meets Crime Linkage (docx., 19kb)
- Dr Fuxiang Chen: Project 2 - Language meets Vision for Improving Overall Health-related Experiences (docx., 20kb)
- Dr John Drake: Data Science and AI for Real-world Optimisation Problems (docx., 22kb)
- Dr Xiao Chen: Trusted and Distributed AI Systems Enabled by Blockchain Technologies (docx., 19kb)
- Professor Ashiq Anjum: AI Driven Physics Informed Digital Twins (docx., 31kb)
- Dr Daniel Z. Hao: Imitation Learning for Robotic Manufacturing Transformation (docx., 21kb)
- Dr Daqi Liu: Multi-modal scene understanding (docx., 18kb)
- Dr Fabrício Góes: Large Language Models as Autonomous Creativity Evaluators (docx., 19kb)
- Dr Furqan Aziz: Graph Comparison using Deep Graph Representation Learning (docx., 19kb)
- Dr Jiayan Qiu: Development of Comprehensive Visual Understanding Model (docx., 18kb)
- Dr Marco Volpe: Autonomous Narratives: Fusing Traditional Narratological Theories with AI Methodologies for Controlled, Character-Driven, Automated Story Generation and Analysis (docx., 19kb)
- Dr Mohammad Reza Zare: Intelligent Automated Interpretation and Reporting of Medical Images (docx., 31kb)
- Dr John Panneerselvam: Artificial Intelligence approach for Sustainable Datacentres (docx., 20kb)
- Professor Shigang Yue: Machine learning methods for diabetes patients’ data analysis (docx., 18kb)
- Professor Tanya Vladimirova: Deep learning algorithms for real‐time extraction of environmental remote sensing information from space (docx., 19kb)
- Dr Zheheng Jiang: Towards high-fidelity 3d hand reconstruction (docx., 28kb)