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

Social learning, environmental adversity and the evolution of cooperation

Conference Proceeding
Andras, P. (2016)
Social learning, environmental adversity and the evolution of cooperation. In Artificial Life Conference Proceedings 13 (290-297). https://doi.org/10.1162/978-0-262-33936-0-ch051
Social learning plays a key role in the evolution of cooperation in humans and other animals. It has also been shown both theoretically and experimentally that environmental a...

A critical analysis of studies that address the use of text mining for citation screening in systematic reviews

Conference Proceeding
Olorisade, B. K., de Quincey, E., Brereton, P., & Andras, P. (2016)
A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. In EASE '16: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering (1-11). https://doi.org/10.1145/2915970.2915982
Background: Since the introduction of the systematic review process to Software Engineering in 2004, researchers have investigated a number of ways to mitigate the amount of e...

High-dimensional function approximation using local linear embedding

Conference Proceeding
Andras, P. (2015)
High-dimensional function approximation using local linear embedding. In 2015 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN.2015.7280370
Neural network approximation of high-dimensional nonlinear functions is difficult due to the sparsity of the data in the high-dimensional data space and the need for good cove...

Detecting communities of methods using dynamic analysis data

Conference Proceeding
Andras, P., & Duffee, B. (2015)
Detecting communities of methods using dynamic analysis data. In 2015 IEEE/ACM 6th International Workshop on Emerging Trends in Software Metrics. https://doi.org/10.1109/WETSoM.2015.11
Maintaining large-scale software is difficult due to the size and variable nature of such software. Network analysis is a promising approach to extract useful knowledge from n...

Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients

Journal Article
Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016)
Body-worn sensors in Parkinson's disease: evaluating their acceptability to patients. Telemedicine and e-Health, 22(1), 63-69. https://doi.org/10.1089/tmj.2015.0026
Background:Remote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigo...

Environmental Factors and the Emergence of Cultural – Technical Innovations

Conference Proceeding
Andras, P. (2015)
Environmental Factors and the Emergence of Cultural – Technical Innovations. In Proceedings of the European Conference on Artificial Life 2015 (130-137). https://doi.org/10.7551/978-0-262-33027-5-ch028
Environmental factors that determine ecological niches, for example natural boundaries formed by mountains, rivers, deserts, contribute to the speciation among animals...

PD disease state assessment in naturalistic environments using deep learning

Conference Proceeding
Hammerla, N. Y., Fisher, J., Andras, P., Rochester, L., Walker, R., & Plötz, T. (2015)
PD disease state assessment in naturalistic environments using deep learning. In AAAI'15: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (1742-1748
Management of Parkinson's Disease (PD) could be improved significantly if reliable, objective information about fluctuations in disease severity can be obtained in ecologicall...

Mapping on surfaces: Supporting collaborative work using interactive tabletop

Conference Proceeding
Sinmai, K., & Andras, P. (2014)
Mapping on surfaces: Supporting collaborative work using interactive tabletop. In CYTED-RITOS International Workshop on Groupware (319-334). https://doi.org/10.1007/978-3-319-10166-8_29
We investigate the usability of our mindmap application using a tabletop integrated with four Android tablets in the context of support for collaborative work. This paper pres...

Leveraging the Cloud for Large-Scale Software Testing: A Case Study ‑ Google Chrome on Amazon

Book Chapter
Pakhira, A., & Andras, P. (2014)
Leveraging the Cloud for Large-Scale Software Testing: A Case Study ‑ Google Chrome on Amazon. In Cloud Technology: Concepts, Methodologies, Tools, and Applications. IGI Global. https://doi.org/10.4018/978-1-4666-6539-2.ch055
Testing is a critical phase in the software life-cycle. While small-scale component-wise testing is done routinely as part of development and maintenance of large-scale softwa...

Objective assessment of motor symptoms in Parkinson's disease using body-worn sensors

Journal Article
Fisher, J., Hammerla, N., Andras, P., Rochester, L., & Walker, R. (2014)
Objective assessment of motor symptoms in Parkinson's disease using body-worn sensors. Movement Disorders, 29(S1), https://doi.org/10.1002/mds.25913
Objective: There is great need for an objective method of symptom assessment in Parkinson's disease (PD) to enable better treatment decisions and to assist evaluation of new t...

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