Research Publications

Publication title Authors Publication type Publication year Publication link
From idea to implementation: Evaluating the influence of large language models in software development—An opinion paper Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Roisin Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis Journal Paper 2026
HySMOTE: A Hybrid Approach for Handling Class Imbalances* Asifa Mehmood Qureshi, Abhishek Kaushik, Roisin Loughran, Fergal McCaffery 2026
Improving medical data quality via synthetic data generation: a review AM Qureshi, A Kaushik, R Loughran, K McDaid, F McCaffery Journal Article 2026
Large Language Models (LLMs) in Medical Error Detection and Correction: A Comprehensive Review Roshan Chandru, Provia Kadusabe, Asifa Mehmood Qureshi, Shubham Sharma, Abhishek Kaushik 2026
Mitigating Algorithmic Bias Through Sampling: The Role of Group Size and Sample Selection MH Shahrezaei, R Loughran, K Mc Daid 2026
TwAIChain: A Blockchain–IPFS Architecture for Trustworthy Artificial Intelligence in Healthcare Mugdha Srivastava, Abhishek Kaushik, Róisín Loughran, Fergal Mc Caffery Conference Paper 2026
User‐Based Evaluation of Explainability Techniques for Misogyny Detection in Code‐Mixed Hindi–English Sargam Yadav, Abhishek Kaushik, Kevin McDaid Journal Paper 2026
A configurable intrinsic curiosity module for a testbed for developing intelligent swarm UAVs Jawad Mahmood, Muhammad Adil Raja, John Loane, Fergal McCaffery Journal Article 2025
A Distributed and Scalable Testbed for Developing Intelligent UAV Swarm Controllers Based on Curiosity-Driven Machine Learning Jawad Mahmood, John Loane, Muhammad Adil Raja, Fergal McCaffery Conference Paper 2025
A Multi-UAV Testbed for Real-Time Target Tracking Using Curiosity-Driven Reinforcement Learning Jawad Mahmood, Muhammad Adil Raja, John Loane, Fergal McCaffery Conference Paper 2025