Richard Wilson, Ilkay Ulusoy (PI), Edwin Hancock

A joint project between METU, Turkey and York, our research aims to improve the modelling of human brain connectivity using probabilistic and nonlinear approaches to find causal connections between brain regions, and to improve the understanding of the relationship between these connections and diseases of the brain.

Funding: £11,100 (Newton Mobility Grant, Royal Society)

Richard Wilson (PI) and Dimitris Kolovos

In partnership with Jigsaw Insurance Ltd and InnovateUK, we aim to develop a telematics offering which uses the driver's mobile phone to collect and analyse driving data in real time with the ability to detect accidents and dispatch emergency services.

Funding: £241,202 (InnovateUK and Jigsaw Insurance)

Richard Wilson and Edwin Hancock

Understanding changes in land use and natural variations in the ground surface is a crucial topic. In this project we will use remote sensing images and both visual and structural models to understand the evolution of the ground surface and the relationships between different areas. In collaboration with Anhui University, China

Funding: £364,000 (National Natural Science Foundation of China)

Richard Wilson (PI) and Patrik Huber

In partnership with Phasefocus Ltd and InnovateUK, we are developing machine vision algorithms using deep learning for the automatic detection of events in the lifecycle of cells imaged within Phasefocus' innovative cell culture imaging systems.

Funding: £190,456 (InnovateUK and Phase Focus)

In this project we undertook a thorough study of several aspects of purely similarity-based pattern analysis and recognition methods, from the theoretical, computational, and applicative perspective. We aimed at covering a wide range of problems and perspectives. from purely theoretical problems to real-world practical applications.

Funding: €2.3m EU 7th Framework FET Programme

Richard Wilson (PI) and Edwin Hancock

Following on from an investigation into using plenoptic cameras for correcting images affected by atmospheric distortion, we constructed an imaging system to capture and correct images in the presence of air turbulence.

Funding: £68,460 DSTL

Richard Wilson (PI) and Will Smith

This KTP developed a centre of excellence in machine vision technologies for high speed rail inspection. In the project, computer vision and machine learning technologies was used to provide automatated inspection of complex assets such as junctions and crossings. This technology is now being deployed commericially.

Funding: £198,628 InnovateUK and Omnicom Balfour Beatty

Richard Wilson (PI) and Edwin Hancock

This research aimed to take some steps in the direction of developing quantum search procedures for the inexact subgraph isomorphism problem. We studied quantum walks and their spectra for distinguishing and matching graphs.

Funding: £196,333 EPSRC