Dissertation Supervision
MSc Dissertation Supervision, ATU Donegal, 2026
Dissertation supervision on the MSc in Data Science and MSc in Big Data Analytics & Artificial Intelligence programmes.
Previous students:
Connie McLaughlin (MSc Big Data Analytics & Artificial Intelligence, 2022) - Using Machine Learning and Sentiment Analysis for Cryptocurrency Price Predictions
Ezra Kirui (MSc in Artificial Intelligence Research, 2022) - Independent Ethical Judgment by Autonomous Vehicles During Obstacle Avoidance
Jaisal Sabu (MSc in Big Data Analytics, 2022) - Deep Learning Models for Drug-Target Interaction
Tobi Akanbi (MSc in Big Data Analytics & Artificial Intelligence, 2023) - Heart Failure Prediction Using Real and Synthetic Data
Ultan Kearns (MSc in Artificial Intelligence Research, 2023) - Automated Detection of Covid-19 using Convolutional Neural Networks and Generative Adversarial Networks
Saurabh Washimkar (MSc in Data Science, 2023) - Anomaly Detection and Predictive Maintenance for Conveyor System Components using Vibration Data
Mughilan Kumar (MSc in Big Data Analytics and Artificial Intelligence, 2023) - Predicting Estimated Time of Arrival on a Dublin Road Network using Graph Neural Networks
Sinéad Walsh (MSc in Data Science, 2023) - Multi-Category Online Hate Speech Classification using NLP Feature Engineering with an LSTM Model (journal paper)
Madhumita Srivastava (MSc in Data Science, 2023) - Resume Named Entity Recognition using a Fine-Tuned Pre-Trained BERT Base Model (conference paper)
Darragh Johnston (MSc in Big Data Analytics and Artificial Intelligence, 2024) - Anomaly Detection in Airport Baggage System Flows
Matthew McGroary (MSc in Big Data Analytics, 2024) - Assessing Machine Learning Models for Detecting Human and Bot Players in Video Game Footage
Shadrack Nyaribo (MSc in Big Data Analytics and Artificial Intelligence, 2024) - Predicting Downstream Flows in an Airport Baggage Handling System
Vishruth Shantharaju Manju (MSc in Data Science, 2024) - Machine Learning and Deep Learning Approaches for Page-Level E-Commerce Interaction Analysis
Umakanth Pasunuru (MSc in Data Science, 2025) - An Assessment of Detecting LLM Generated Text Using Supervised Machine Learning
Armando Camacho Valdivia (MSc in Big Data Analytics and Artificial Intelligence, 2025) - Incorporating Machine Learning Algorithms into Predictive Maintenance
Baran Yanik (MSc in Data Science, 2025) - Predicting Premier League Match Outcomes: A Machine Learning Approach with Historical Team Statistics
Ibrahim Shaik (MSc in Big Data Analytics and Artificial Intelligence, 2025) - Safeguarding Trust in Digital Marketplaces through AI-Based Fake Review Detection
Ifunanya Akupuome (MSc in Data Science, 2025) - Evaluating the Effectiveness of Synthetic Ultrasound Images for Prenatal Anomaly Detection
Oisín O’Brien (MSc in Data Science, 2025) - Prediction of Significant Wave Height using Bidirectional Long Short-Term Memory
Sheefa Naz (MSc in Big Data Analytics and Artificial Intelligence, 2025) - Self-Supervised Learning for Anomaly Detection in System Logs using Transformer Models
Subbaraya Dasari (MSc in Big Data Analytics and Artificial Intelligence, 2025) - AI-Powered Detection of Gender-Based Violence on Twitter
Solomon Udele (MSc in Big Data Analytics and Artificial Intelligence, 2025) - A Deep Reinforcement Learning Approach to Traffic Congestion Prediction Using Dublin’s SCATS Data
Javier Eduardo Marín Gil (MSc in Big Data Analytics and Artificial Intelligence, 2026) - Improving State Estimation in Industrial Boiler Systems Using a Geometry-Free Physics-Informed Neural Network