Paul Greaney

Paul Greaney is a Lecturer in Computing at Atlantic Technological University, affiliated with the Department of Computing. He is a Principal Investigator in the Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE) research unit. His work aligns with UN Sustainable Development Goals, particularly in advancing technologies for environmental and health applications. Greaney holds an h-index of 38 with over 2025 citations, reflecting his research impact.

Research interests span machine learning, artificial intelligence, IoT security, and materials science. His recent projects include pedestrian trajectory prediction using neural networks, resume parsing with BERT-based models, and IoT trustless environments. He has also contributed to studies on dielectric membranes and quantum dot cytotoxicity.

Greaney’s publications emphasize interdisciplinary approaches, blending computational methods with real-world applications. His work on spatial-temporal attention models and generative frameworks demonstrates expertise in AI-driven solutions for complex systems. No advising or grant details are provided in the text. He is part of the MISHE team, focusing on mathematical modeling and intelligent systems for societal challenges.