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.

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

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

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

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 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.

MSc Dissertation - Data Science - Text Classification

Simulation framework for NHS emergency department triage optimization using a Mixture-of-Agents (MoA) architecture — built with SimPy, LangGraph, and FHIR-compliant synthetic data to reduce patient wait times and improve resource utilization.

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

MSc conversational-AI dissertation portfolio with reproducible analysis and responsible-AI documentation

MSc dissertation (KCL): re-measuring IoT intrusion detection under an attacker-machine holdout, and testing whether LLM-based packet prediction improves it. macro-F1 0.90 -> 0.60 once leakage is removed.

Integrated 16S + shotgun metagenomics workflow for kvass fermentation (QIIME2, MetaPhlAn4, Kraken2, HUMAnN3, DRAM2) with reproducible outputs.

MSc dissertation — XGBoost pipeline screening 50,000+ RNA sequences for thermoswitch behaviour, achieving R²=0.90 and reducing screening time from hours to milliseconds

CSC8499 MSc Dissertation, Newcastle University — A four-agent RAG pipeline for cloud anomaly detection, diagnosis, and resource optimisation on Kubernetes, combining a public benchmark dataset with live observability data, evaluated against real infrastructure and a real autoscaler.