Dissertation Supervision

MSc dissertations, ATU Donegal, Department of Computing, 2023

Dissertation supervision on the MSc in Data Science and MSc in Big Data Analytics & Artificial Intelligence programmes.

Previous students:

  1. Vishruth Shantharaju Manju (MSc in Data Science, 2024) - Machine Learning and Deep Learning Approaches for Page-Level E-Commerce Interaction Analysis

  2. Shadrack Nyaribo (MSc in Big Data Analytics and Artificial Intelligence, 2024) - Predicting Downstream Flows in an Airport Baggage Handling System

  3. Matthew McGroary (MSc in Big Data Analytics, 2024) - Assessing Machine Learning Models for Detecting Human and Bot Players in Video Game Footage

  4. Darragh Johnston (MSc in Big Data Analytics and Artificial Intelligence, 2024) - Anomaly Detection in Airport Baggage System Flows

  5. Madhumita Srivastava (MSc in Data Science, 2023) - Resume Named Entity Recognition using a Fine-Tuned Pre-Trained BERT Base Model

  6. Sinéad Walsh (MSc in Data Science, 2023) - Multi-Category Online Hate Speech Classification using NLP Feature Engineering with an LSTM Model

  7. 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

  8. Saurabh Washimkar (MSc in Data Science, 2023) - Anomaly Detection and Predictive Maintenance for Conveyor System Components using Vibration Data

  9. Ultan Kearns (MSc in Artificial Intelligence Research, 2023) - Automated Detection of Covid-19 using Convolutional Neural Networks and Generative Adversarial Networks

  10. Tobi Akanbi (MSc in Big Data Analytics & Artificial Intelligence, 2023) - Heart Failure Prediction Using Real and Synthetic Data

  11. Jaisal Sabu (MSc in Big Data Analytics, 2022) - Deep Learning Models for Drug-Target Interaction

  12. Ezra Kirui (MSc in Artificial Intelligence Research, 2022) - Independent Ethical Judgment by Autonomous Vehicles During Obstacle Avoidance

  13. Connie McLaughlin (MSc Big Data Analytics & Artificial Intelligence, 2022) - Using Machine Learning and Sentiment Analysis for Cryptocurrency Price Predictions