Reader in Mathematics for Information Technology, Research Fellow in Engineering Mathematics
I gained a First Class Honours degree in Physics from Imperial College, London and a Doctorate from the Department of Mathematics, King's College, London. I am currently a Reader in the Merchant Venturer's School of Engineering, University of Bristol. For research purposes our group is a component part of the Intelligent Systems Laboratory at the University of Bristol. For teaching purposes I am associated with the Department of Engineering Mathematics. My research interests are machine learning, including probabilistic graphical models and kernel-based methods, algorithm design and the applications of machine learning techniques in bioinformatics, particularly medical bioinformatics. Our research is currently funded by the generous support of the EPSRC, the Medical Research Council, and PASCAL2 .
Learning with Support Vector Machines by Colin Campbell and Yiming Ying (Morgan and Claypool, 2011). This is a concise introduction to Support Vector Machines and kernel-based learning. It is available as an ebook from Morgan and Claypool or as hardcopy from Amazon or Waterstones. The Introductory Lectures on Support Vector Machines, at the 6th International Summer School on Pattern Recognition, provide a shortened summary of some of the content of this book.
PhD funding for projects in our areas of interest is available from a number of sources:
Please email Dr. Campbell directly (C.Campbell(at)bris.ac.uk) for further information.
For very well qualified candidates we support applications for Fellowships.
Dr. Yiming Ying is now Assistant Professor at the University of Exeter, United Kingdom. Dr. Kaizhu Huang is now Associate Professor at the National Laboratory of Pattern Recognition, The Chinese Academy of Sciences, Beijing, China. UK-based academic staff who are alumni of the group include Prof. Nello Cristianini (University of Bristol), Dr. Simon Rogers (University of Glasgow) and Prof. Stephen Coombes (University of Nottingham).