Peter Andras
peter andras

Prof Peter Andras

Dean of School of Computing Engineering and the Built Environment

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.

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

 

Date


163 results

Kernel-kohonen networks

Journal Article
Andras, P. (2002)
Kernel-kohonen networks. International Journal of Neural Systems, 12(2), 117-135. https://doi.org/10.1142/S0129065702001084
We investigate the combination of the Kohonen networks with the kernel methods in the context of classification. We use the idea of kernel functions to handle products of vect...

Toward statistically valid population decoding models

Journal Article
Andras, P., Panzeri, S., & Young, M. P. (2002)
Toward statistically valid population decoding models. Neurocomputing, 44, 269-274. https://doi.org/10.1016/S0925-2312%2802%2900349-1
8We focus in this paper on the methodology of building statistically valid population code read-out models for spike train data. A new method is explored, which uses Bayesian ...

Computation with chaotic patterns

Journal Article
Andras, P. (2002)
Computation with chaotic patterns. Neurocomputing, 44-46, 263-268. https://doi.org/10.1016/S0925-2312%2802%2900347-8
The paper is focused on how chaotic patterns, occurring in nature, might be used by biological organisms to perform computations. This issue is investigated in the context of ...

Firing Rate Modulation by Backward Propagating Potential Waves

Working Paper
András, P. (2002)
Firing Rate Modulation by Backward Propagating Potential Waves
The paper investigates the role of backward propagating potential waves in the regulation of the firing rate input ‐ output transformation function of neurons. The analysis is...

Natural dynamics and neural networks: Searching for efficient preying dynamics in a virtual world

Journal Article
András, P. (2001)
Natural dynamics and neural networks: Searching for efficient preying dynamics in a virtual world. Journal of Intelligent Systems, 11(3), 173-202. https://doi.org/10.1515/JISYS.2001.11.3.173

RBF neural networks with orthogonal basis functions

Book Chapter
Andras, P. (2001)
RBF neural networks with orthogonal basis functions. In R. J. Howlett, & L. C. Jain (Eds.), Radial basis function networks 1: Recent developments in theory and applications (67-94). Springer

The Sierpinski brain

Conference Proceeding
András, P. (2001)
The Sierpinski brain. In IJCNN'01. International Joint Conference on Neural Networks Proceedings (654-659). https://doi.org/10.1109/IJCNN.2001.939101
The paper presents a new approach to the interpretation of chaotic neural activity. It is suggested that such activity forms neural objects represented as spatio-temporal firi...

Neural Network Approximation of Fuzzy Logic Operators

Journal Article
Andras, P., Kaban, A., & Bossanyi, R. (2000)
Neural Network Approximation of Fuzzy Logic Operators. Annales universitatis occidentalis timisiensis series philosophia, XII, 147-159
We investigate in this paper how to use neural networks to help the development of efficient fuzzy decision systems. First we review the basic theories of fuzzy logic and neur...

Efficient selection of the node parameters in RBF neural networks

Conference Proceeding
Andras, P. (1999)
Efficient selection of the node parameters in RBF neural networks. In Seminar of Numerical and Statistical Calculus (9-22

Approximation of chaotic shapes with tree-structured neural networks

Conference Proceeding
Andras, P. (1999)
Approximation of chaotic shapes with tree-structured neural networks. In IJCNN'99: International Joint Conference on Neural Networks, Proceedings (817-820). https://doi.org/10.1109/IJCNN.1999.831056
The approximation of highly irregular decision regions is a challenging problem in pattern recognition and classification. Existing neural networks require many neurons for ap...

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