• Northlands Road, Magee Campus

    BT48 7JL Londonderry

    United Kingdom

  • 719 Citations
  • 14 h-Index
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Personal profile


Sonya Coleman joined the Computer Science Research Institute and School of Computing and Intelligent Systems in 2002 and was appointed Head of the Research Graduate School in 2012. Sonya is a Fellow of the Higher Education Academy, and teaches at undergraduate level. Sonya received a BSc(Hons) in Mathematics, Statistics and Computing (first class) from the Ulster University, UK in 1999, and a PhD in Mathematics from the Ulster University, UK in 2003. She is Cognitive Robotics team leader within the Intelligent Systems Research Centre.  Sonya has publications primarily in image processing, robotics, computational intelligence and financial engineering. Her research has been supported by funding from various sources such as EPSRC, The Nuffield Foundation, The Leverhulme Trust and the European Commission. In 2009 she was awarded the Distinguished Research Fellowship by the Ulster University in recognition of her contribution research and she is currently secretary of the Irish Pattern Recognition and Classification Society.

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Research Output 2001 2019

Classification of Health Risk Factors to Predict the Risk of Falling in Older Adults

Lindsay, L., Coleman, S., Kerr, D., Taylor, B. & Moorhead, A., 4 Jan 2019, (Accepted/In press).

Research output: Contribution to conferencePaper

Health risks
health risk
risk communication

Reliable robotic handovers through tactile sensing

Gomez, A., Rano, I., Coleman, S. & McGinnity, T. M., 2 Jan 2019, In : Autonomous Robots.

Research output: Contribution to journalArticle

End effectors

A Computational Model of Thalamocortical Dysrhythmia in Tinnitus Sufferers

Gault, R., McGinnity, T. M. & Coleman, S., 6 Aug 2018, 26, 9, p. 1867-1879 13 p.

Research output: Contribution to journalArticle

Open Access
Hearing Loss
Auditory Pathways
Signal Transduction

A Linear Polynomial NARMAX Model with Multiple Factors to Forecast Day-Ahead Electricity Prices

McHugh, C., Coleman, S., Kerr, D. & McGlynn, D., 1 Sep 2018, (Accepted/In press). 6 p.

Research output: Contribution to conferencePaper

Open Access
Statistical Models
Coal gas

Bio-Inspired Approach to Modelling Retinal Ganglion Cells using System Identification Techniques

Vance, P., Das, G., Kerr, D., Coleman, S., McGinnity, T. M., Gollisch, T. & Liu, J., May 2018, 29, 5, p. 1796-1808

Research output: Contribution to journalArticle

Open Access
Identification (control systems)
Computer vision
Biological systems