I am Professor of Computer Science and Informatics in the School of Computing and Mathematics of Keele University and I am also the Head of this School.
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.
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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.
Measuring and testing the scalability of cloud-based software services, A Al-Said Ahmad, P Andras, IEEE World Congress on Services (SERVICES), pp.67-74, 2018.
Random Projection Neural Network Approximation, P Andras, International Joint Conference on Neural Networks (IJCNN), 2018.
Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments, PAndras, Artificial Life Conference (ALife), pp.404-411, 2018
Locally Excited State–Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes, D Sirbu, JB Butcher, PG Waddell, P Andras, AC Benniston, Chemistry–A European Journal, 23: 14639-14649, 2017.
Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. (Steyn, JS, Andras, P, Journal of Computational Neuroscience, 42: 107-121, 2017.)
Assessing the acceptability of body-worn sensors for monitoring of Parkinson's Disease patients (JM Fisher, NY Hammerla, L Rochester, P Andras, RW Walker, Telemedicine and e-Health, 22: 1-7, 2016.)
Approximation of high-dimensional functions (P Andras, Neural Networks and Learning Systems, IEEE Transactions on 25 (3), 495-505, 2014.)
Modelling the evolution of successful human populations (P Andras, European Conference on Artificial Life 2015, pp.130-137.)
Deep learning assessment of the state of Parkinson's Disease patients (NY Hammerla, JM Fisher, P Andras, L Rochester, R Walker, T Plötz, Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015.)