Supervision & Mentoring

2024 — Munster Technological University

• Syed Fazil Syed John — Quantisation of Large Language Models and Performance Assessment
• Rhythm Kulkarni — Traffic Sign Recognition using Machine Learning and Computer Vision
• Orlando Rocha dos Santos Junior — Large Language Models Applied in Human Resources Departments
• Cindy Zuniga — Advanced Sentiment Analysis with BERT and Machine Learning for Predictive Modelling of Amazon Product Success
• Chinmay Ashutosh Mishra — Prediction of Stock Price Movement Using Sentiment Analysis

2023 — Munster Technological University

• Harshita Ramdas Mondkar — Aspect-Based Sentiment Analysis on Amazon Product Reviews
• Anoop Nair — Leveraging Microbiome and Virome Data Analysis using AI
• Aishwarya Yadav — Disaster Tweets Classification using Machine Learning, Deep Learning, and Natural Language Processing
• Manel Selmi — Artificial Hallucination in Natural Language Generation: ChatGPT
• Kristina Korshunova — Evaluating the Credibility, Objectivity, Political Influence, Accuracy, and Authoritative Attribution of News Articles and Their Sources
• Manuel Frank — Paraphrase Identification in German with GeSBERT: A German Sentence Transformer linked output
• Pooja Babu — Facial Expression Recognition using AI
• Michael Mailo — HSE Project with Limerick Digital Cancer Research Centre linked output

2022 — Munster Technological University

• Thuy Truong — Written Argument Identification in Student Essays using NLP and Machine Learning Techniques
• Vijay Raj — AI-Based Mono- and Multimodal Systems for Medical Language–Video Understanding for Question-Answering Applications
• Anjali Dabholkar — Smart Law: Judgement Outcome Prediction
• Madhusudan Chandak — Annotation and Classification of Doctor Notes using NLP Techniques
• Maeve M. Barrett — Assessment of Fraudulent Claim Submission Behaviour in the Health Insurance Industry
• Neha Mahendra Gupta — Information Extraction from Financial Documents in a Multilingual Context

2021 — Munster Technological University

• Adam Żebrowski — Predicting Country Instability Based on GDELT
• Bing Yuan — Deep Learning and Emotion Detection for Improving Text-Based Medical Conversational Agents
• Dinesh Kumar Sridharan — Multilingual Information Extraction from Financial Documents using NLP
• Nethravathi Rangaswamy — Automatic Information Extraction from Legal Documents using NLP

2020 — Munster Technological University

• Sankarshan Kohli — iPOP: An Interactive Personal Assistant for Obese People
• Donal Madden — Correction of Errata in the Transcription of the 1911 Census of Ireland
• Rishabh Ajitkumar Chandaliya — TeleStroke System for Stroke Detection linked output
• Shrenik Atul Doshi — Commonsense Validation and Reasoning using NLP linked output
• Claudia Juarez Moreno (research project) — Stock Market Price Prediction using NLP Analysis of Web Publications linked output
• Onyinyechi Chudi-Iwueze (research project) — Profiling Fake News Spreaders on Twitter

2019 — Munster Technological University

• Praveen Joshi — Ensemble Event-Driven Stock Market Prediction linked output
• Shane Daly — Multilingual Detection of Hate in Social Media
• Vishal Kesti — RCNN: Recurrent Convolutional Neural Network Fake News Detection
• Sriram Bharadwaj Sampathkumar — Bots and Gender Profiling
• Sonu Prasad — Sentiment Threshold Apprehension using CNN Autoencoders for Early Detection of Cyber Attacks in Social Media
• Arvind Subramaniam Ramesh — Sentiment and Emotion Analysis on Chatbots and Bilingual Response Generation

2017–2018 — Dublin City University

• Rajath Kodandaramu — Sentiment Analysis to Identify Potential Customers
• Nithu Singh — Impact of News on Stock Prediction
• Javedali Shaikh — Matching Image and Text

2016–2017 — Dublin City University

• Jason Burns — Multimodal Sentiment Analysis linked output
• Asma Alenazi — Twitter Sentiment Analysis using Deep Convolutional Neural Networks

2015–2016 — Dublin City University

• Saurabh Gupta — Building Adequate User Interaction through Sentiment Analysis over Twitter Data