معرفی
Richard Wilson is a Professor of Pattern Analysis in the Department of Computer Science at the University of York. He holds roles including Member of the Departmental Research Committee and Research Group Lead for Artificial Intelligence. With degrees from the University of Oxford (BA) and the University of York (DPhil), his research focuses on Machine Learning, Computer Vision, and Pattern Recognition with Graphs and Networks. He has contributed over 238 publications and led projects such as the UKRI AI Centre for Doctoral Training (SAINTS) and the Royal Society-funded Graphical Modeling of Brain project. Wilson has also been recognized with the IAPR Fellow Award (2010). His work spans theoretical advancements and applied research in network analysis, quantum algorithms, and interdisciplinary applications like drug discovery and healthcare informatics.
His research interests integrate computational methods with complex systems analysis, emphasizing graph theory, entropy-based network modeling, and AI-driven solutions. Recent publications highlight innovations in semi-supervised learning, graph kernels, and quantum-inspired network dynamics. Wilson’s contributions to editorial roles, such as with the journal Pattern Recognition, and activities like PhD external examinations further underscore his academic leadership.
- Key Projects:
- UKRI AI Centre for Doctoral Training in Safe AI (SAINTS) – Principal Investigator (2024–2032)
- Graphical Modeling of Brain – Principal Investigator (2020–2023)
His lab focuses on AI and computational methodologies, collaborating across disciplines to address challenges in healthcare, computer vision, and network science.
