معرفی
Richard Charles Wilson is a Professor of Pattern Analysis in the Department of Computer Science at the University of York, where he leads the Artificial Intelligence research group and serves on the Departmental Research Committee. His work bridges theoretical and applied aspects of machine learning and computer vision, with a focus on structural pattern recognition using graphs and networks.
Research Interests: His research spans Pattern Analysis, Machine Learning, Computer Vision, and Graph-based Pattern Recognition. He applies these to diverse domains including bioinformatics, navigation systems, and neural network design. His recent work explores deep learning without backpropagation, GNSS interference detection, and AI in drug discovery.
The most recent publications reflect a strong trend in applying AI to real-world challenges in healthcare and signal integrity, combining deep learning with novel architectures and semi-supervised techniques. His work often appears in high-impact journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics and The Journal of Navigation.
Scientific Awards:
- IAPR Fellow Award (2010)
Wilson actively contributes to academic service, including PhD examination, editorial board membership for Pattern Recognition, and research evaluation for institutions like the Czech Academy of Sciences. He has led and contributed to multiple funded research projects, including those supported by EPSRC and The Royal Society. His leadership in the UKRI AI Centre for Doctoral Training in Safe AI Systems highlights his role in training the next generation of AI researchers.
He is involved in significant research projects such as the Graphical Modeling of Brain project funded by The Royal Society and the UKRI AI Centre for Doctoral Training in Safe AI Systems (SAINTS), where he serves as a co-investigator. These projects emphasize safe, interpretable, and biologically inspired AI systems.
