The N8 CIR hosted 24 internships across the N8 universities in the summer of 2024. These projects varied in design and covered all three key themes of digital health, digital humanities, and machine learning.
Here, you can find the list of the research projects. There is also a news article on the event in which students presented their work in September 2024 in York.
DURHAM
| Learning Semantically Meaningful Representations in Image and Music Data | ||
| Reductio et Elaboratio ad astera!: Leveraging Bede's capabilities in Machine Learning for the Digital Humanities Task of Explainable Music Generation | ||
| Diminishing Biases for Dermoscopic Images using Diffusion-based Data Augmentation | ||
| Learning to run social network analyses on historical data at scale with HPC |
LANCASTER
| Porting dynamical models of Covid19 from single-GPU to multi-GPU on Bede. | ||
| Local versus global spatial analysis of Neglected Tropical Diseases in Sub-Saharan Africa. | ||
| Extreme scale text analysis pipelines: comparative evaluation of UCREL-Hex, Lancaster-HEC and N8-Bede, and development of training materials and demonstrator Python scripts and notebooks | ||
| Identifying social network structure from epidemic contact tracing data |
LIVERPOOL
| Data collection and deep learning models for music emotion recognition | ||
| Improved inverse reinforcement learning for attacker's intention inference | ||
| Benchmarking large language models for reading biomedical literature | ||
| Software Development for Automated Pediatric Brain Tumor Detection, Classification and Segmentation with 3D Tumor Imaging Tool |
MANCHESTER
| Geospatial, textual, and computer vision approaches to research in the humanities | ||
| Humanities data science: Geospatial, network, and textual analysis |
NEWCASTLE
| Ballast Hill burial ground | ||
| Enhancing Healthcare for Older Adults: Predictive Heart Monitoring Using Wearable Technology - Data Science Application |
SHEFFIELD
| Lingustic Bede | ||
| AI Care federated | ||
| Unlocking the complexity of organismal colour patterns using artificial intelligence |
YORK
| Reducing Ethnical Bias in 3D Face Analysis Using a Neural Network Learned Natural Illumination Prior | ||
| Deciphering the IHF-DNA Binding Mechanism: Implications for Surpressing Stubborn Bacteria | ||
| Knowledge Extraction using Large Language Models (LLMs) for Explainable Mental Health Assessment | ||
| Simulations on the H-NS protein: the sentinel of antibiotic resistance genes in bacteria | ||
| Pair Spectrometer Calorimeter Reconstruction Using Machine Learning | ||
| CIZ1 Training Ground: U-Net Approach for Drag-and-drop Image Analysis |