Projects are varied in focus, and we greatly enjoyed learning about the research in our Showcase on the 16th September.
The university links below show the projects, a student bio and their expectations before starting their internship. To learn about the conclusions of their research, see their slides, and watch their presentations, follow their personal link.
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Deep Generalised Models |
Nguyen Thien An |
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Establishing Machine Learning Protocols for Directed Synthesis and Reaction Optimisation |
Francesca Farrand |
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Molecular Design of New Polymers for Surface Modification of Fabrics: A Multi-Scale Computer Simulation Approach |
Kinga Kornas |
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MCMC Convergence and Tessellation Budget Sensitivity in the AddiVortes Model |
Lewis Maltby |
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Automated Pest Detection in Plants |
Ernest Uche-Eze |
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Revisiting the Risk Elicitation Puzzle: A Machine Learning Approach |
Anand Chavali |
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GEM: a Domain-Specific Modelling Language for Disease Outbreak Models |
Crystal Leong |
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Toward better energy and marginal carbon intensity data for research and teaching |
Luke Needle |
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Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC |
Millie Cain |
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Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC |
Namira Chowdhury |
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Interpreting Readability Evaluation with Explainable AI |
Owais Mahmood |
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Where did the English novel come from? Experimenting with computational approaches to investigate language in seventeenth-century prose fiction |
Nell Wilkinson |
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Reinforcement Learning and Symbolic Transformer for Stability Certificates of Nonlinear Power Systems |
Abhiram Bainkrodu Bhat |
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Machine Learning–Enabled Techno-Economic Analysis of Flexible Nuclear Power for Enhanced Renewable Integration in the GB Power System |
Luke Bennett |
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ChannelGate: A Gating Network to Route Ion-Channel Data towards Optimal Deep-Learning Models |
Chengxu Jiang |
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AI-Guided Discovery of Large-Band-Gap Dielectric Materials for Next-Generation Power Grids |
Shivansh Raj |
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How well can large language models perform literature reviews? |
Abdullah Al Kalbani |
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Sustainable AI Data Compression Case Study: Profiling BOA on BEDE |
Hanzila Hussain |
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The Language of Early Capitalism: A Computational Analysis |
William Roper |
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Identification of sub-groups of chronic obstructive pulmonary diseasepatients using clustering analysis of small airway histopathology |
Urbi Roychowdhury |
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Explainable health data analytics with tsetlin machines |
Jamie Jeays |
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Data Pre-processing and Generation for Real-World Neural Architecture Search Applications |
James Kaye |
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Calculating Long-Time Quantum Trajectories Using Arbitrary Precision Floating Point Numbers on COMET |
George Maniadakis |
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Deployed End-to-End Machine Learning on an Autonomous Racing Car |
Shamik Srimany |
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From Simulation to AI: Physics-Informed Neural Networks for Chemical Kinetics in Turbulent Hydrogen Swirling Flames |
Adam Wilson |
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AI for Smart Farming: Detecting and Identifying Cattle from Drone Images |
Eyad Ahmed Abdelaziz Abdelnabi Mohamed |
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Improving the FLAME GPU User Experience through Examples |
Lewie Fleming |
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GPU-Accelerated Domain Adaptation for Personalised Speech Recognition of Electrolarynx Voices |
Echo Garratt |
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MobGap-Plus: An HPC-Powered ML Pipeline for Digital Mobility: Bridging Python & R-Shiny |
Artem Vakhutinskiy |
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Parallel Hybrid Solving of Challenging Decision Problems |
George Jopson |
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First-principles prediction of surface and nanocrystal properties of BaCd2P2 for optoelectronic applications |
Noah Minto |
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Automated Biomechanical Pipelines for Personalized Diaphragmatic Assessment |
Prithwish Mukherjee |
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High-Performance Proteomics at Scale: An R Package and Interactive Web Portal for Standardised Analysis |
Anna Scott |