Peter Andras
peter andras

Prof Peter Andras

Dean of School of Computing Engineering and the Built Environment

 0131 455 2456

  P.Andras@napier.ac.uk

  

Biography

Professor Peter Andras is the Dean of the Schools of Computing and Engineering & the Built Environment since August 2021.

Previously Peter was the Head of the School of Computing and Mathematics (2017 – 2021) and Professor of Computer Science and Informatics at Keele University from 2014 – 2021. Prior to this he worked at Newcastle University in the School of Computing (2002 – 2014) and the Department of Psychology (2000 – 2002).

He has a PhD in Mathematical Analysis of Artificial Neural Networks (2000), MSc in Artificial Intelligence (1996) and BSc in Computer Science (1995), all from the Babes-Bolyai University, Romania.

Peter’s research interests span a range of subjects including artificial intelligence, machine learning, complex systems, agent-based modelling, software engineering, systems theory, neuroscience, modelling and analysis of biological and social systems. He has worked on many research projects, mostly in collaboration with other researchers in computer science, psychology, chemistry, electronic engineering, mathematics, economics and other areas. His research projects have received around £2.5 million funding, his papers have been cited by over 2,400 times and his h-index is 25 according to Google Scholar.

Peter has extensive experience of working with industry, including several KTP projects and three university spin-out companies, one of which is on the London Stock Exchange since 2007 – eTherapeutics plc.

Peter is member of the Board of Governors of the International Neural Network Society (INNS), Fellow of the Royal Society of Biology, Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and member of the UK Computing Research Committee (UKCRC), IEEE Computer Society, Society for Artificial Intelligence and Simulation of Behaviour (AISB), International Society for Artificial Life (ISAL) and the Society for Neuroscience (SfN).

Peter serves on the EPSRC Peer Review College, the Royal Society International Exchanges Panel and the Royal Society APEX Awards Review College. He is also regularly serving as review panel member and project assessor for EU funding agencies.

Outside academia, Peter has an interest in politics and community affairs. He served as local councillor in Newcastle upon Tyne, parish councillor in Keele and stood in general elections for the Parliament. He has experience of working with and leading community organisations and leading a not-for-profit regional development consultancy and project management organisation.

School

Esteem

Grant Funding Panel Member

  • EPSRC grant panel member
  • EU Horizon 2020 / Horizon Europe / FP6 / FP7 grant panel member
  • Austria FIT IT grant panel member

 

Grant Reviewer

  • Leverhulme Trust grant reviewer
  • MRC grant reviewer
  • Austria FIT IT grant reviewer
  • BBSRC grant reviewer
  • EPSRC grant reviewer
  • EU Horizon 2020 / Horizon Europe / FP6 / FP7 grant reviewer

 

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163 results

Alternative sampling methods for estimating multivariate normal probabilities

Journal Article
Sándor, Z., & András, P. (2004)
Alternative sampling methods for estimating multivariate normal probabilities. Journal of Econometrics, 120(2), 207-234. https://doi.org/10.1016/S0304-4076%2803%2900212-4
We study the performance of alternative sampling methods for estimating multivariate normal probabilities through the GHK simulator. The sampling methods are randomized versio...

Understanding neural computation in terms of pattern languages

Conference Proceeding
András, P. (2003)
Understanding neural computation in terms of pattern languages. In Proceedings of the International Joint Conference on Neural Networks, 2003 (1385-1390
There is some experimental evidence that the neural information processing in some small neural systems with complex behaviour (e.g., olfactory bulb, crab stomatogastric gangl...

Comparing neurophysiological measurements of simulated and real brains

Journal Article
Andras, P. (2003)
Comparing neurophysiological measurements of simulated and real brains. Neurocomputing, 52-54, 677-682. https://doi.org/10.1016/S0925-2312%2802%2900729-4
The paper presents the comparison of simulated brains with real brains by means of statistical properties of neurophysiological measurements. Two neural models are selected to...

Environmental risk, cooperation, and communication complexity

Book Chapter
Andras, P., Roberts, G., & Lazarus, J. (2003)
Environmental risk, cooperation, and communication complexity. In E. Alonso, D. Kudenko, & D. Kazakov (Eds.), Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning (49-65). Berlin: Springer. https://doi.org/10.1007/3-540-44826-8_4
The evolution of cooperation and communication in communities of individuals is a puzzling problem for a wide range of scientific disciplines, ranging from evolutionary theory...

Auditing as a tool of public policy: the misuse of quality assurance techniques in the UK university expansion

Journal Article
Charlton, B. G., & Andras, P. (2002)
Auditing as a tool of public policy: the misuse of quality assurance techniques in the UK university expansion. European Political Science, 2, 24-35. https://doi.org/10.1057/eps.2002.42

Democratic deficit and communication hyper-inflation in health care systems

Journal Article
Andras, P., & Charlton, B. G. (2002)
Democratic deficit and communication hyper-inflation in health care systems. Journal of Evaluation in Clinical Practice, 8(3), 291-297. https://doi.org/10.1046/j.1365-2753.2002.00354.x
There is a widespread perception of poor performance and reduced trust in relation to health care systems. The roots of this problem are interpreted in terms of the democratic...

Spectrum-based design of sinusoidal RBF neural networks

Conference Proceeding
András, P. (2002)
Spectrum-based design of sinusoidal RBF neural networks. In Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN'02) (1421-1426). https://doi.org/10.1109/IJCNN.2002.1007725
This paper introduces and describes the spectrum-based design of radial basis function (RBF) neural networks. The RBF networks used in this paper work with damped sinusoidal n...

Commentary on Sweeney & Kernick (2002), Clinical evaluation: constructing a new model for post-normal medicine

Journal Article
Andras, P., & Charlton, B. G. (2002)
Commentary on Sweeney & Kernick (2002), Clinical evaluation: constructing a new model for post-normal medicine. Journal of Evaluation in Clinical Practice, 8(2), 143-144. https://doi.org/10.1046/j.1365-2753.2002.00324.x

Hype and spin in the NHS

Journal Article
Andras, P., & Charlton, B. (2002)
Hype and spin in the NHS. British Journal of General Practice, 52(479), 520-521

The equivalence of support vector machine and regularization neural networks

Journal Article
Andras, P. (2002)
The equivalence of support vector machine and regularization neural networks. Neural Processing Letters, 15, 97-104. https://doi.org/10.1023/A%3A1015292818897
We show in this brief paper the equivalence of the support vector machine and regularization neural networks. We prove both implication sides of the equivalence in a generally...

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