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 Âé¶¹ÉçÇø (INNS), Fellow of the Royal Âé¶¹ÉçÇø of Biology, Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and member of the UK Computing Research Committee (UKCRC), IEEE Computer Âé¶¹ÉçÇø, Âé¶¹ÉçÇø for Artificial Intelligence and Simulation of Behaviour (AISB), International Âé¶¹ÉçÇø for Artificial Life (ISAL) and the Âé¶¹ÉçÇø for Neuroscience (SfN).

Peter serves on the EPSRC Peer Review College, the Royal Âé¶¹ÉçÇø International Exchanges Panel and the Royal Âé¶¹ÉçÇø 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


165 results

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters

Conference Proceeding
Briggs, C., Fan, Z., & Andras, P. (2020)
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. In NeurIPS 2020 Workshop: Tackling Climate Change with Machine Learning
In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High res...

Federated learning with hierarchical clustering of local updates to improve training on non-IID data

Conference Proceeding
Briggs, C., Fan, Z., & Andras, P. (2020)
Federated learning with hierarchical clustering of local updates to improve training on non-IID data. In 2020 International Joint Conference on Neural Networks (IJCNN). https://doi.org/10.1109/IJCNN48605.2020.9207469
Federated learning (FL) is a well established method for performing machine learning tasks over massively distributed data. However in settings where data is distributed in a ...

Composition of Games as a Model for the Evolution of Social Institutions

Conference Proceeding
Andras, P. (2020)
Composition of Games as a Model for the Evolution of Social Institutions. In Artificial Life Conference Proceedings (171-179). https://doi.org/10.1162/isal_a_00264
The evolution of social institutions (e.g. institutions of political decision making or joint resource administration) is an important question in the context of understanding...

Scalability analysis comparisons of cloud-based software services

Journal Article
Ahmad, A. A., & Andras, P. (2019)
Scalability analysis comparisons of cloud-based software services. Journal of cloud computing: advances, systems and applications, 8, Article 10. https://doi.org/10.1186/s13677-019-0134-y
Performance and scalability testing and measurements of cloud-based software services are necessary for future optimizations and growth of cloud computing. Scalability, elasti...

Environmental Harshness and Fitness Improving Innovations

Conference Proceeding
Andras, P. (2019)
Environmental Harshness and Fitness Improving Innovations. In Artificial Life Conference Proceedings (300-307). https://doi.org/10.1162/isal_a_00179
Fitness improving innovations occur in populations of organisms as genetic changes (mutations) that allow better fit with the environmental niche of the organisms. Similarly, ...

Cloud-based software services delivery from the perspective of scalability

Journal Article
Al-Said Ahmad, A., & Andras, P. (2021)
Cloud-based software services delivery from the perspective of scalability. International Journal of Parallel, Emergent and Distributed Systems, 36(2), 53-68. https://doi.org/10.1080/17445760.2019.1617864
Measuring and testing the scalability and performance of cloud-based software services is critical for the delivery of such services, and the development of cloud computing. T...

The use of bibliography enriched features for automatic citation screening

Journal Article
Olorisade, B. K., Brereton, P., & Andras, P. (2019)
The use of bibliography enriched features for automatic citation screening. Journal of Biomedical Informatics, 94, Article 103202. https://doi.org/10.1016/j.jbi.2019.103202
Context Citation screening (also called study selection) is a phase of systematic review process that has attracted a growing interest on the use of text mining (TM) methods t...

User perception of Bitcoin usability and security across novice users

Journal Article
Alshamsi, A., & Andras, P. (2019)
User perception of Bitcoin usability and security across novice users. International Journal of Human-Computer Studies, 126, 94-110. https://doi.org/10.1016/j.ijhcs.2019.02.004
This paper investigates users’ perceptions and experiences of an anonymous digital payment system (Bitcoin) and its influence on users in terms of usability and security in co...

Measuring and testing the scalability of cloud-based software services

Conference Proceeding
Al-Said Ahmad, A., & Andras, P. (2019)
Measuring and testing the scalability of cloud-based software services. In 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT) (67-74). https://doi.org/10.1109/ISIICT.2018.8613297
Performance and scalability testing and measurements of cloud-based software services are critically important in the context of rapid growth of cloud computing and supporting...

Social learning and cultural evolution in artificial life

Journal Article
Marriott, C., Borg, J. M., Andras, P., & Smaldino, P. E. (2018)
Social learning and cultural evolution in artificial life. Artificial Life, 24(1), 5-9. https://doi.org/10.1162/ARTL_a_00250
We describe the questions and discussions raised at the First Workshop on Social Learning and Cultural Evolution held at theArtificial Life Conference 2016 in Cancún, Mexico i...

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