FP7   EU

University of Southampton (SOTON-ECS) is an internationally-recognised research-led university with strong interdisciplinarity. It has a worldwide reputation for innovative research which was confirmed in the recent RAE, where every department in the School of Engineering, and Computer Science gained 5*. The Information: Signals, Images and Systems Research Group is situated within the School of Electronics and Computer Science and is currently composed of approximately 70 researchers. ISIS activities are centred in fundamental theory and algorithm development associated with adaptive data modelling, machine learning, control theory, computer vision and signal processing. The research group is recognised as one of the leading machine learning groups in the world with expertise in theory (e.g. frequentist and Bayesian approaches to learning), algorithms (e.g. kernel methods, SVMs, subspace methods) and their application to many diverse domains. This research is developed through a combination of theoretical modelling together with verification and validation in the real-world problem domains of vision and image processing, signal processing, document analysis, guidance and control, biomedical fields, etc. Research is also focused on the development of methodologies for integrating such techniques in overall systems engineering.

Dr. Steve Gunn is a Senior Lecturer in the Information: Signals, Images and Systems Research Group. He has published over 80 research papers in the areas of image processing and machine learning. His current research is in the area of sparse representations, feature selection and subspace methods for identification of salient parts of the data space for prediction. He serves on various programme committees, and is the Operational Coordinator for the PASCAL NoE.
Dr. Craig Saunders main research interests currently lie in the application of Machine Learning methods to structured data. He has developed various kernel methods for structured data and has shown that they can be successfully applied in the domains of text, biological sequences and molecular data. Recently he has been involved in the development of algorithms which encompass structured output data, which have been shown to achieve good performance on hierarchical data (such as classifying documents into a category hierarchy, and enzyme function classification). This work is currently being extended to the fields of enzyme function prediction and Statistical Machine Translation. His work is currently funded by the EU as part of the SMART project (FP6-033917) and industrially through GlaxoSmithKline. He has been funded and worked on many previous EU and UK EPSRC projects, and is currently and active participant in the PASCAL network. Craig joined the 'Cross-Language Technologies group' at the end of April 2009.
Dr. Sasan Mahmoodi received his BSc and MSc in Electronics in 1987 and 1990 in Amirkabir University and Sharif University of Technology (Tehran/Iran) respectively. He also received his PhD in image processing and computer vision from Newcastle University in 1998. He then worked on modelling biological vision as a research associate in the University of Newcastle from 1999 to 2007. Since then he has been working as a lecturer at the school of Electronics and Computer Science in the University of Southampton. In particular, Dr. Mahmoodi has worked extensively on understating of the perception in rhesus monkeys using their eye movements. He has reviewed several papers for prestigious journals such as IEEE Transactions of Signal Processing and IEEE Signal Processing Letters. He has 27 publications in prestigious journals and conferences.
Dr. Ivan Markovsky completed his PhD in the electrical engineering department of the Katholieke Universiteit Leuven, Belgium. From March 2005 to December 2006, he was a postdoctoral researcher at the same department, and since January 2007, he has been a lecturer at the University of Southampton. His research interests are in data modelling in the behavioural setting, total least squares, and errors-in-variables estimation; topics on which he has published 23 journal papers and one monograph. He is a co-organiser of the fourth international workshop on Total Least Squares and Errors-in-Variables Modeling, a guest editor of Signal Processing, and an associate editor of the International Journal of Control.
Dr. Kitsuchart Pasupa received BEng degree from Sirindhorn International Institute of Technology, Thammasat University, Thailand in 2003, followed by MSc(Eng) and PhD degree from the University of Sheffield, UK in 2004 and 2007, respectively. He is currently a research fellow in the Information: Signals, Images and Systems Research Group in the School of Electronics and Computer Science at the University of Southampton. His research interests lie in the design of kernel machine learning algorithms for eye-tracking and chemoinformatic applications.
Stephen Jenkins is an undergraduate student, studying a four-year MEng course in Computer Science. He undertook research on the Pinview project as part of a Southampton summer internship programme to give good undergraduate students the experience of working in a research environment and on a focussed project.
Oliver Wells undertook research on the Pinview project as a summer intern.