AURA

Advanced Uncertain Reasoning Architecture

Many projects use AURA techniques which has its own dedicated web site

CARMEN Code, Analysis, Repository and Modelling for e-Neuroscience.

This project seeks to provide an e-research infrastructure to support neuro scientists, and to provide tools such as the signal data explorer.

Staff on project: Tom Jackson, Martyn Fletcher, Mark Jessop, Bojian Liang.

Chemical Structure Matching

This project is investigating the use of neural networks to match 3D images of molecules to a large molecular data base using RBE and AURA based methods.

The project was supported by EPSRC and Glaxo-Wellcome, it is now supported within the group.

Staff on Project: Aaron Turner.

Neural Network Based Search Engines

The problem of finding what you want in large text repositories is a common problem (i.e. on the web). This project investigates the use of AURA methods, in combination with other learning methods, to make faster and more accurate searches.

Staff on project: Vicky Hodge.

Facial Recognition Systems

This project concentrates on authentication of faces and searching for a face in a large collection of faces. It aims to use neural network techniques and 3D image analysis to enhance the speed of the matching and the quality of partial matching.

Freeflow

Involves the utilisation of pattern recognition to detect patterns of traffic flow and take appropriate measures to improve this flow. The project is funded by EPSRC, DofT and TSB and started in Nov 2007 for 3 years. York is implementing an intelligent decision support system, based on AURA and SDE to find traffic events and alter the behaviour of the network.

 Staff on project: Vicky Hodge.

White Rose Grid

The group hosts the York node of the white rose grid, and is supported under an EPSRC platform grant from 2008 for 5 years to run this node.

Staff on project: Aaron Turner.

Software as a Service

The objective of the study is to investigate the benefits and efficiencies that could be gained from the deployment of a Software as a Service (SaaS) model for academic research software applications, deployed over Grid computing infrastructures.  This analysis will result in a documented business case including a full cost-benefit analysis. This will lead to a business proposal for a full-scale pilot project to develop a demonstrator system for regional SaaS provision.

Staff on project: Tom Jackson.

Active Vision Network

This is a research network, supporting three PhD students, that brings together leading research groups at Sheffield, Leeds and York with overlapping interests and complementary skills in a new multidisciplinary collaboration, spanning experiment and theory from neurobiology, through cognition to bio-inspired software/hardware applications.

The research in the network is focussed on modelling aspects of action selection in human vision. Vision is a favourite with computational modellers, being arguably the most researched part of the brain. Nonetheless, high level visual information processing is still poorly understood. We will combine (1) experimental investigation of the performance of the visual system (2) data analysis and modelling at the neurobiological level and (3) high level modelling in software and hardware.

Staff on project: Becky Naylor