Terence O'Neill

Terence O'Neill is a Lecturer in the Department of Accounting and Business Computing at the Faculty of Business and Hospitality. His research focuses on advanced topics in image processing, pattern recognition, and deep learning applications. Notably, he contributed to a study on lightweight deep learning models for detecting image forgery, emphasizing post-processed attacks. His work integrates embedded systems and VGGNet architectures, reflecting interdisciplinary expertise.

Collaborations span international teams, as seen in his 2021 publication co-authored with researchers from diverse institutions. While no specific awards are listed, his research has garnered significant attention, evidenced by 37 citations. Details about academic advising or grants are not provided in the available text.