معرفی
Dr. William Teahan is a Lecturer in the School of Computer Science and Engineering at Bangor University. His research focuses on Artificial Intelligence, Machine Learning, and Natural Language Processing, particularly applying text compression-based models to Information Retrieval and text mining. Prior to Bangor, he held roles including Research Fellow at Robert Gordon University (1999-2000), Invited Researcher at Lund University (1999), and Research Assistant at the University of Waikato (1998), where he completed his Ph.D. in text compression models for English text.
Key research interests include AI agent behavior, evolutionary programming, and cross-linguistic NLP applications (e.g., Arabic, Welsh, Chinese). He leads projects such as KESS II (2018-2024) and AMBER (2013-2018), focusing on data visualization, procedural animation, and organic photovoltaic material analysis using machine learning. Collaborations span robotics, virtual reality, and ethical AI frameworks.
Teahan’s work bridges theoretical advancements in compression algorithms with practical applications in text mining, OCR systems, and energy materials. His contributions include developing compression-based toolkits and exploring VR’s impact on parameter optimization in animation systems.
