Andrew Schofield

Colleges, School and Institutes

Research interests

Andrew Schofield's primary research is on functional aspects of the visual perception with an emphasis on textures, surfaces and shape. He also has interests in the effects of ageing on visual perception and the role of cortical hyper-excitability in abnormal visual functioning. He also builds computational models of human vision and designs computer vision algorithms.

Biography

With a first degree in Electronics, a PhD in Communication and Neuroscience and a Diploma in Psychology Andrew Schofield is a multidisciplinary thinker whose work crosses the boundaries between Psychology and Computer Science. After receiving his PhD Andrew completed a Research Fellowship in image processing at Brunel and then worked for a year in the Civil Service before returning to academia as a Research Fellow in Psychology at Birmingham in 1996 - He is now a Senior Lecturer.

Qualifications

BEng Electrical and Electronic Engineering (Brunel) ,

PGCert \Learning and Teaching in Higher Education (Birmingham),

Diploma Psychology (Open),

PhD (Keele).

 

Education/Academic qualification

  • Doctor of Philosophy, Keele Univeristy

    Neural Network Models for texture Segmentation and Target Detection

  • Bachelor of Engineering, Brunel Univerisity

Professional Qualifications

  • Fellow of the Higher Education Academy, FHEA

    2007

Willingness to take PhD students

Yes

PhD projects

The focus of Andrew Schofield’s research is visual perception. Within this, he studies the perception of texture and shape. He assesses this in the general population and also in older adults. He is also interested in the effects of migraine and cortical hyper-excitability on visual perception. He build computational models of vision and applies these to image analysis type tasks. He is a member and former chairman of the Applied Vision Association and leads the EPSRC funded Network on Visual image Interpretation in Humans and Machines.

He offers PhDs in all these areas with an emphasis on computational models of texture and shape processing, vision in older adults and cortical hyper-excitability.

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