msc-dissertation

MSc Informatics dissertation project - University of Edinburgh: Curiosity in Multi-Agent Reinforcement Learning

Exoplanet Transit Detection using Deep Neural Networks written in Python

Bias-aware multimodal hate-speech detection - BERT + CNN + BiLSTM with structured features. Full MSc dissertation record, including the branches that failed.

MSc AI dissertation: adaptive intervention planning for runtime policy identification, with reproducible Python benchmarks and ablations.

An explainable multi-model NLP framework for post-earnings stock direction prediction. MSc Business Analytics capstone, Trinity College Dublin x EY.

Financial news sentiment research with reproducible evaluation, tested Python pipelines and an offline demo. UCL MSc Computational Finance.

Correlating Windows 11 forensic artefacts (Prefetch, Event Logs, ShellBags) to reconstruct user activity. MSc Cyber Security & Forensics dissertation, University of Westminster

MSc Data Science dissertation investigating seismic sensing for traffic monitoring and environmental assessment in Greater Manchester.

MSc dissertation project. Measures whether vision-language models preserve a flowchart's control-flow structure when generating code, separately from whether the code passes its tests. Four models, two datasets, plus the scoring tool and raw results.

UCL MSc Information Security dissertation on APK-grounded agentic Android vulnerability discovery and restricted evidence-backed validation.

MSc Dissertation | Dublin Property Price Analysis (2017-2025) using Python, Tableau and Geospatial Analytics

MSc dissertation evaluating targeted website fingerprinting on Tor Browser. Built a traffic collection pipeline and feature extraction framework, then trained Random Forest and SVM classifiers on encrypted Tor traffic to identify both visited websites and browser configuration characteristics, achieving up to 88% accuracy

Hybrid LSTM–GRU Network with Attention (MSc Dissertation) — stock price prediction on grouped time-series data (Goldsmiths, University of London, Sept 2025)

MSc dissertation: comparing five federated learning aggregation strategies for client and demographic fairness in chest X-ray classification (NIH ChestX-ray14).

A multimodal deep learning framework integrating MobileNet and BiLSTM architectures to synchronize facial landmark detection and audio feature extraction for robust emotion recognition.

MSc dissertation: from-scratch JPEG codec implementing ITU-T T.81 — DCT, quantization, Huffman coding, zig-zag ordering, LZW compression. Validated against libjpeg.

MSc Business Analytics dissertation — DENUE-based market intelligence pipeline for Mexico

MSc AI dissertation code for mammogram classification, ROI-guided attention, localisation, multimodal fusion, and anomaly detection.

A Python implementation of a Hopfield Neural Network for pattern recognition using Hebbian learning, developed as part of an MSc Data Science dissertation.