Andras Lab

Website of the lab of Professor Peter Andras

Peter Andras

I am Professor of Computer Science and Dean of the Schools of Computing and Engineering & Built Environment at Edinburgh Napier University.

I am interested in the understanding of information processing in complex systems. My favorite complex system is the nervous system, but I am also interested in complex software systems, protein interaction systems and social interaction systems. I try to uncover how such systems organize themselves in order to process information about their complex environment, how information is represented in their processes, how they generate their actions to gain new information from their environment, and how they evolve in the context of their environment.

Address:

Schools of Computing and Engineering & Built Environment
Merchiston Campus
Edinburgh Napier University
10 Colinton Road
Edinburgh
EH10 5DT
United Kingdom
 
Tel. +44-131-455....
Email: p.andras@napier.ac.uk

Recent papers

Where do successful populations originate from? Andras, P and Stanton, A, Journal of Theoretical Biology, 524: 110734, 2021.

Cloud-based Software Services Delivery from the Perspective of Scalability. Al-Said Ahmad, A, Andras, P,  International Journal of Parallel, Emergent and Distributed Systems, 36: 53-68, 2021.

A review of privacy-preserving federated learning for the Internet-of-Things In: In: Habib ur Rehman, M and Medhat Gaber, M (eds.) Federated Learning Systems: Towards Next Generation AI, Springer's Series on Studies in Computational Intelligence, Springer, Cham, Briggs, C, Fan, Z, Andras, P, pp.21-50, 2021.

Composition of Games as a Model for the Evolution of Social Institutions. Andras, P, Proceedings of the Artificial Life Conference – 2020, pp.171-179, 2020.

Federated learning with hierarchical clustering of local updates to improve training on non-IID data. Briggs, C, Fan, Z, Andras, P, Proceedings of the 2020 International Joint Conference on Neural Networks (IJCNN), 2020.

Scalability Analysis Comparisons of Cloud-based Software Services. Al-Said Ahmad, A, Andras, P, Journal of Cloud Computing, 8: 1-17, 2019.

The use of bibliography enriched features for automatic citation screening. Olorisade, BK, Brereton OP, Andras, P, Journal of Biomedical Informatics, 94: 103202, 2019.

Environmental Harshness and Fitness Improving Innovations. Andras, P, Proceedings of the Artificial Life 2019 (ALife 2019), pp. 300-307, 2019.

User Perception of Bitcoin Usability and Security across Novice Users, A AlShamsi, P Andras, International Journal of Human-Computer Studies, 126:94-110, 2019.

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems, P Andras, L Esterle, M Guckert, TA Han, PR Lewis, K Milanovic, T Payne, C Perret, J Pitt, ST Powers, N Urquhart, S Well, IEEE Technology and Society Magazine, 37:76-83, 2018.

Social learning in repeated cooperation games in uncertain environments, P Andras, Cognitive Systems Research, 51:24-39, 2018.

  High-dimensional function approximation with neural networks for large volumes of data, P Andras, IEEE Transactions on Neural Netowkrs and Learning Systems, 29:500-508, 2018.