A list of projects is below with links to further information and YouTube videos of presentations of the research where available.
- AI Care federated
- Ballast Hill burial ground
- Benchmarking large language models for reading biomedical literature
- CIZ1 Training Ground: U-Net Approach for Drag-and-drop Image Analysis
- Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC
- Data collection and deep learning models for music emotion recognition
- Data Pre-processing and Generation for Real-World Neural Architecture Search Applications
- Deciphering the IHF-DNA Binding Mechanism: Implications for Surpressing Stubborn Bacteria
- Deep Generalised Models
- Deep Learning Models for Automatic Chord Recognition in Polyphonic Audio
- Diminishing Biases for Dermoscopic Images using Diffusion-based Data Augmentation
- Do LLMs Lose Answers?
- Easing the access to high-throughput GPUs for Deep Learning researchers
- End-to-End Machine Learning for Autonomous Racing
- Enhancing Healthcare for Older Adults: Predictive Heart Monitoring Using Wearable Technology - Data Science Application
- Establishing Machine Learning Protocols for Directed Synthesis and Reaction Optimisation
- Explainable Health Data Analytics with Tsetlin Machines
- Exploring digital tools for large and mixed data sets regarding undergraduate assessment, attainment and engagement
- Exploring how stakeholders have experienced the digital transformation of the NHS in relation to routine HIV care service delivery
- 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
- First-principles prediction of surface and nanocrystal properties of BaCd2P2 for optoelectronic applications
- From Images to Insight: AI and Digital Twins for Retinal and Systemic Diseases
- From Modern Tweets to Victorian Broadsheets: Sentiment Analysis Software for Victorian Literature
- From Simulation to AI: Neural Networks for Chemical Kinetics in Turbulent Hydrogen Swirling Flames
- GEM: a domain-specific modelling language for disease outbreak models
- Gemlib: a Python library for epidemic modelling
- Geospatial, textual, and computer vision approaches to research in the humanities
- GPU-accelerated Personalisation of Automatic Speech Recognition for Electrolarynx Speakers
- High-Performance Proteomics at Scale: An R Package and Interactive Web Portal for Standardised Analysis
- Humanities data science: Geospatial, network, and textual analysis
- Identification of sub-groups of chronic obstructive pulmonary disease patients using clustering analysis of smallairway histopathology
- Improved inverse reinforcement learning for attacker's intention inference
- Improving the FLAME GPU User Experience through Examples
- Interpreting Readability Evaluation with Explainable AI
- Investigating DNA–Protein Interactions Governing Biofilm Stability using Molecular Dynamic Simulations
- Knowledge Extraction using Large Language Models (LLMs) for Explainable Mental Health Assessment
- Language of Early Capitalism from 17th-18th Century
- Learning Semantically Meaningful Representations in Image and Music Data
- Learning to run social network analyses on historical data at scale with HPC
- Leveraging Bede's capabilities in Machine Learning for the Digital Humanities Task of Explainable Music Generation
- Lingustic Bede
- Machine-learning gauge-dependent density functionals: a challenge even in a fixed gauge
- Mapping Anthropogenic Weather
- MCMC Convergence and Tessellation Budget Sensitivity in the AddiVortes Model
- MobGap-Plus: a pipeline from raw sensor data to mobility outcomes
- Molecular Design of Green Polymers for Fabric Surface Modification: A Multiscale Computer Simulation Approach
- Music.Me: A Personalised Music Recommendation System for Wellbeing
- NeuroBatch: Harmonising data from an international neuroscience project
- Pair Spectrometer Calorimeter Reconstruction Using Machine Learning
- Parallel Hybrid Solving of Challenging Decision Problems
- Pipeline for fitting thermal responses of mosquito traits
- PolyChron: FAIR data for post-excavation analysis
- Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC
- Power-system analysis of nuclear flexibility within the GB energy system
- Reduced order modelling of land subsidence
- Reducing Ethnical Bias in 3D Face Analysis Using a Neural Network Learned Natural Illumination Prior
- Research and analysis of Staphylococcus aureus cell shape and volume changes during the cell cycle
- Revisiting the Risk Elicitation Puzzle: A Machine Learning Approach
- Simulations on the H-NS protein: the sentinel of antibiotic resistance genes in bacteria
- Software Development for Automated Pediatric Brain Tumor Detection, Classification and Segmentation with 3D Tumor Imaging Tool
- Sustainable AI Data Compression Case Study: Profiling BOA on BEDE
- Sustaining Computational Research in the Humanities
- Toward better energy and marginal carbon intensity data for research and teaching
- Transformer-based Molecular Classification Models for Blood Brain Barrier Penetration Prediction
- Understanding the Impact of Digital Research Infrastructure at Lancaster University
- Unlocking the complexity of organismal colour patterns using artificial intelligence
- What do Large Language Models Know?
- Where did the English novel come from? Experimenting with computational approaches to explore language in 17thCentury prose fiction.
- Word Level Techniques for Historical Spelling Normalization