Prof. Chris Bishop is the Assistant Director of Microsoft Research at Cambridge, UK and Professor at the University of Edinburgh, UK. His research is concerned with the development and application of probabilistic methods for inference and learning. He has written numerous papers and is the author of the well known textbook “Neural Networks for Pattern Recognition”, by Oxford University Press.

Dr. Colin Campbell is Lecturer at the Department of Engineering Mathematics, University of Bristol. He has investigated neural networks largely from the perspective of a statistical mechanics approach. More recently he has developed an interest in Support Vector Machines and computational learning theory. His research interests lie in the application of support vector machines to practical problems.

Dr. Jackson is Director of Media Engineering at Department of Electronics Engineering, University of Surrey. His key research interests include hidden markov models, articulatory models for speech technologies, analysis of voiced fricatives, spatial audio perception, and speech and auditory processing. He is an expert on speech and auditory classification, and use of learning methods for temporal data.

Prof. Oommen is distinguished Professor and Fellow of IEEE at Carleton University, Canada. He has published over 335 research papers, which cover research interests including the areas of learning systems, data retrieval and storage, statistical pattern recognition, syntatical pattern recognition, robotics, adaptive data structures, artificial neural networks, query optimization in database systems and data compression.