GitHub pages from N8 CIR Internships

Below are links to GitHub resources created by our interns. To learn more about the students and their projects please visit the internship homepages from the menu.

Jump to links for resources from a specific year:

2025 Summer Internships : 2025-6 EPSRC Winter Internships : 2026 Summer Internships

2026 Summer Internships

Sustainable AI Data Compression Case Study: Profiling BOA on BEDE

Hanzila Hussain, University of Manchester

GEM: a domain-specific modelling language for disease outbreak models

Crystal Leong, University of Lancaster

AI for Smart Farming: Detecting and Identifying Cattle from Drone Images

Eyad Ahmed Abdelaziz Abdelnabi Mohamed, Lancaster University

Automated pest detection in plant trials

Ernest Uche-Eze, Lancaster University

Creating a Historical Sentiment Lexicon Using Johnson’s Dictionary and HPC

Millie Cain, University of Leeds

Power-system analysis of nuclear flexibility within the GB energy system

Luke Bennett, University of Liverpool

MobGap-Plus: a pipeline from raw sensor data to mobility outcomes

Artem Vakhutinskiy, University of Sheffield

Population-Scale Biomechanics: Modelling of a Spinal Unit using HPC

Namira Chowdhury, University of Leeds

Improving the FLAME GPU User Experience through Examples

Lewie Fleming, University of Sheffield

MCMC Convergence and Tessellation Budget Sensitivity in the AddiVortes Model

Lewis Maltby, Durham University

GPU-accelerated Personalisation of Automatic Speech Recognition for Electrolarynx Speakers

Echo Garratt, University of Sheffield

ChannelGate: A Gating Network to Route Ion-Channel Data towards Optimal Deep-Learning Models

Chengxu Chan, University of Liverpool

Interpreting Readability Evaluation with Explainable AI

Owais Mahmood, University of Leeds

2025-2026 EPSRC Winter Internships

PolyChron: FAIR data for post-excavation analysis

Shreyan Ghosh, University of Sheffield

Causality-Driven Test Case Minimisation for Cyber-Physical Systems

Amelie Davies, University of Sheffield

CoT Overthinking: Do LLMs Lose Answers?

Toby Pullan, Durham University

Deep Learning Models for Automatic Chord Recognition in Polyphonic Audio (conformer architecture for ACR implementation)

Facundo Franchino, University of York

Deep Learning Models for Automatic Chord Recognition in Polyphonic Audio (App at research stage)

Facundo Franchino, University of York

Mapping Anthropogenic Weather

Aadityaa Mehrotra, University of Manchester

2025 N8 CIR Summer Internships

AI tools for large-scale text mining PubMed

Zichen Yang, University of Liverpool

Improving data standardisation tools for global neuroscience collaboration

Ariana Williams, University of Sheffield

PolyChron: FAIR data for post-excavation analysis

Shreyan Ghosh, University of Sheffield

Easing the access to high-throughput GPUs for Deep Learning researchers (user interface only)

Tom Reece, Newcastle University

ArteFact - Contextualising paintings with the art history corpus

Samuel Waugh, Durham University

Transformer-based Molecular Classification Models for Blood Brain Barrier Penetration Prediction

Hamzah Patel, University of Liverpool

What do Large Language Models Know?

Jenelle Bankas, University of Leeds

Machine-learning gauge-dependent density functionals: a challenge even in a fixed gauge

Leo Arnstein, University of York

Pipeline for fitting thermal responses of mosquito traits

Teleri Stone, Lancaster University

#Wardsonar technical development

Mysha Zaman, University of Leeds

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