Peter Andras

Title: Professor
Phone: (+44) 01782 733412
Internal ext 33412
Email: p.andras@keele.ac.uk
Location: Colin Reeves Building CR38
Role:
Contacting me:

Education:

PhD Neural Networks (Mathematical Analysis), Babes-Bolyai University, Cluj,Romania, 2000

MSc Artificial Intelligence, Babes-Bolyai University, Cluj, Romania, 1996

BSc Computer Science, Babes-Bolyai University, Cluj, Romania, 1995

Certificate in Management, Open University, Milton Keynes, UK, 1995


Jobs:

Professor, Keele University, UK, 2014-present

Reader (Associate Professor), Newcastle University, UK, 2005-2014

Lecturer (Assistant Professor), Newcastle University, UK, 2001-2005

Research Associate, Newcastle University, UK, 2000-2001

Teaching Assistant (AIO), University of Maastricht, Netherlands 1998-2000

Associate Lecturer (Adjunct Professor), Petru Maior University, Targu Mures,
Romania, 1997-1998

Associate Lecturer (Adjunct Professor), Babes-Bolyai University, Cluj,
Romania, 1997-1998

Director, CIVITAS Foundation for the Civil Society, 1992-1998

Membership in scientific societies:

Senior Member - Institute of Electronic and Electrical Engineers (IEEE)

Fellow - Society of Biology

IEEE - Computer Society

International Neural Network Society (INNS)

Society for Study of Artificial Intelligence and Simulation of Behaviour

Society for Neuroscience.


Industrial collaborations:

e-Theraputics Plc

Data Complexity Ltd

EnviResearch Ltd

Corbitt's Ltd

XACT PCB Ltd

Recent Research grants

  • 2013 - 2015 KTP, Machine learning analysis of industrial data for process optimisation (PI), with XACT PCB Ltd;

  • 2013 - 2014 EPSRC, Restoration of normal activity in damaged neural systems using multi-electrode arrays and FPGA neurons (PI), with Prof Alex Yakovlev and Dr Patrick Degenaar, Newcastle University;

  • 2012 - 2013 EPSRC, Development of novel voltage-sensitive dyes for neuroimaging (co-PI), with Prof Andrew Benniston, Newcastle University;

  • 2011 - 2013 Amazon (PI), Cloud base software testing and analysis;

  • 2006 - 2009 EPSRC, NorthEast e-Science Centre - continuation grant (CI), with Prof Paul Watson and others, Newcastle University;                    

Research Interests

  • Computational neuroscience
  • Complex systems analysis and modelling
  • Network analysis of large scale software systems
  • Computational intelligence

 

Selected Publications

  • Andras P. 2018. Social learning in repeated cooperation games in uncertain environments. COGNITIVE SYSTEMS RESEARCH, vol. 51, 24-39. link> doi> full text>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. Artificial Life, vol. 24(1). doi> link> full text>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. ARTIFICIAL LIFE, vol. 24(1), 5-9. link> doi>
  • dos Santos F, Andras P, Collins DJ, Lam KP, IEEE. 2017. A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity. 2017 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS). link> doi> full text>
  • dos Santos F, Andras P, Lam K. 2017. Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. Springer. doi> link> full text>

Full Publications List show

Journal Articles

  • Andras P. 2018. Social learning in repeated cooperation games in uncertain environments. COGNITIVE SYSTEMS RESEARCH, vol. 51, 24-39. link> doi> full text>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. Artificial Life, vol. 24(1). doi> link> full text>
  • Marriott C, Borg JM, Andras P, Smaldino PE. 2018. Social Learning and Cultural Evolution in Artificial Life. ARTIFICIAL LIFE, vol. 24(1), 5-9. link> doi>
  • Sirbu D, Butcher JB, Waddell PG, Andras P, Benniston AC. 2017. Locally Excited State-Charge Transfer State Coupled Dyes as Optically Responsive Neuron Firing Probes. Chemistry, vol. 23(58), 14639-14649. link> doi> full text>
  • Olorisade BK, Brereton P, Andras P. Reproducibility of studies on text mining for citation screening in systematic reviews: Evaluation and checklist. J Biomed Inform, vol. 73, 1-13. link> doi> full text>
  • Steyn JS and Andras PE. 2017. Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. Journal of Computational Neuroscience, vol. 42(2), 107-121. doi> link> full text>
  • Junwen Luo, Nikolic K, Evans BD, Na Dong, Xiaohan Sun, Andras P, Yakovlev A, Degenaar P. Optogenetics in Silicon: A Neural Processor for Predicting Optically Active Neural Networks. IEEE Trans Biomed Circuits Syst, vol. 11(1), 15-27. link> doi> full text>
  • Andras P. 2018. High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data. IEEE Trans Neural Netw Learn Syst, vol. 29(2), 500-508. link> doi> full text>
  • Fisher JM, Hammerla NY, Ploetz T, Andras P, Rochester L, Walker RW. Unsupervised home monitoring of Parkinson's disease motor symptoms using body-worn accelerometers. Parkinsonism Relat Disord, vol. 33, 44-50. link> doi> full text>
  • Fisher JM, Hammerla NY, Rochester L, Andras P, Walker RW. 2016. Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients. Telemed J E Health, vol. 22(1), 63-69. link> doi> full text>
  • Bai D, Benniston AC, Clift S, Baisch U, Steyn J, Everitt N, Andras P. 2014. Low molecular weight Neutral Boron Dipyrromethene (Bodipy) dyads for fluorescence-based neural imaging. JOURNAL OF MOLECULAR STRUCTURE, vol. 1065, 10-15. link> doi>
  • Andras P. 2014. Function approximation using combined unsupervised and supervised learning. IEEE Trans Neural Netw Learn Syst, vol. 25(3), 495-505. link> doi>
  • Andras P and Andras A. 2013. Type 2 diabetes: A side effect of the adaptation of neurons and fat cells to support increased cognitive performance. Med Hypotheses, vol. 80(2), 176-185. link> doi>
  • Andras P. 2012. A Bayesian interpretation of the particle swarm optimization and its kernel extension. PLoS One, vol. 7(11), e48710. link> doi> link> full text>
  • Städele C, Andras P, Stein W. 2012. Simultaneous measurement of membrane potential changes in multiple pattern generating neurons using voltage sensitive dye imaging. J Neurosci Methods, vol. 203(1), 78-88. link> doi>
  • Andras P. 2011. Research: metrics, quality, and management implications. RESEARCH EVALUATION, vol. 20(2), 90-106. link> doi>
  • Lythgow KT, Hudson G, Andras P, Chinnery PF. 2011. A critical analysis of the combined usage of protein localization prediction methods: Increasing the number of independent data sets can reduce the accuracy of predicted mitochondrial localization. Mitochondrion, vol. 11(3), 444-449. link> doi>
  • Stein W, Städele C, Andras P. 2011. Single-sweep voltage-sensitive dye imaging of interacting identified neurons. J Neurosci Methods, vol. 194(2), 224-234. link> doi>
  • Stein W and Andras P. 2010. Light-induced effects of a fluorescent voltage-sensitive dye on neuronal activity in the crab stomatogastric ganglion. J Neurosci Methods, vol. 188(2), 290-294. link> doi>
  • Andras P. 2009. Molecular neuroimaging--a proposal for a novel approach to high resolution recording of neural activity in nervous systems. Med Hypotheses, vol. 73(6), 876-882. link> doi>
  • Charlton BG and Andras P. 2009. The Sleep Elaboration-Awake Pruning (SEAP) theory of memory: long term memories grow in complexity during sleep and undergo selection while awake. Clinical, psychopharmacological and creative implications. Med Hypotheses, vol. 73(1), 1-4. link> doi>
  • Hinks J, Bush J, Andras P, Garratt J, Pigott G, Kennedy A, Pless-Mulloli T. 2009. Views on chemical safety information and influences on chemical disposal behaviour in the UK. Sci Total Environ, vol. 407(4), 1299-1306. link> doi>
  • Andras P, Lazarus J, Roberts G. 2007. Environmental adversity and uncertainty favour cooperation. BMC Evolutionary Biology, vol. 7, 240. link> doi> link> full text>
  • Andras P, Gwyther R, Madalinski AA, Lynden SJ, Andras A, Young MP. 2007. Ecological network analysis: an application to the evaluation of effects of pesticide use in an agricultural environment. Pest Manag Sci, vol. 63(10), 943-953. link> doi>
  • Kaiser M, Martin R, Andras P, Young MP. 2007. Simulation of robustness against lesions of cortical networks. Eur J Neurosci, vol. 25(10), 3185-3192. link> doi>
  • Andras P and Wennekers T. 2007. Cortical activity pattern computation. Biosystems, vol. 87(2-3), 179-185. link> doi>
  • Andras P. 2005. Pattern computation in neural communication systems. Biol Cybern, vol. 92(6), 452-460. link> doi>
  • Charlton BG and Andras P. 2005. Modernizing UK health services: 'short-sharp-shock' reform, the NHS subsistence economy, and the spectre of health care famine. J Eval Clin Pract, vol. 11(2), 111-119. link> doi>
  • Charlton BG and Andras P. 2005. Medical research funding may have over-expanded and be due for collapse. QJM, vol. 98(1), 53-55. link> doi>
  • Andras P and Charlton BG. 2005. Self-aware software - Will it become a reality?. SELF-STAR PROPERTIES IN COMPLEX INFORMATION SYSTEMS: CONCEPTUAL AND PRACTICAL FOUNDATIONS, vol. 3460, 229-259. link>
  • Andras P and Andras C. 2005. The origins of life -- the 'protein interaction world' hypothesis: protein interactions were the first form of self-reproducing life and nucleic acids evolved later as memory molecules. Med Hypotheses, vol. 64(4), 678-688. link> doi>
  • Andras P. 2004. Pattern languages: a new paradigm for neurocomputation. NEUROCOMPUTING, vol. 58, 223-228. link> doi>
  • Andras P. 2003. A model for emergent complex order in small neural networks. J Integr Neurosci, vol. 2(1), 55-69. link> doi>
  • Andras P and Charlton BG. 2002. Democratic deficit and communication hyper-inflation in health care systems. J Eval Clin Pract, vol. 8(3), 291-297. link> doi>
  • Andras P and Charlton BG. 2002. Commentary on Sweeney & Kernick (2002), Clinical evaluation: constructing a new model for post-normal medicine. Journal of Evaluation in Clinical Practice 8, 131-138. J Eval Clin Pract, vol. 8(2), 143-144. link> doi>
  • András P. 2002. Kernel-Kohonen networks. Int J Neural Syst, vol. 12(2), 117-135. link> doi>
  • Stein W, Staedele C, Andras P. 2011. Optical Imaging of Neurons in the Crab Stomatogastric Ganglion with Voltage-sensitive Dyes. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, Article UNSP e2567. link> doi> full text>

Chapters

  • Pakhira A and Andras PE. 2012. Leveraging the Cloud for Large-Scale Software Testing–A Case Study: Google Chrome on Amazon. In Software Testing in the Cloud: Perspectives on an Emerging Discipline. IGI Global.

Other

  • dos Santos F, Andras P, Collins DJ, Lam KP, IEEE. 2017. A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity. 2017 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS). link> doi> full text>
  • dos Santos F, Andras P, Lam K. 2017. Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. Springer. doi> link> full text>
  • dos Santos F, Andras P, Lam KP. 2017. A Multiresolution Approach to the Extraction of the Pyloric Rhythm. 2017 40TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) (pp. 403-406). link> doi> full text>
  • Ahmad AA-S, Brereton P, Andras P, IEEE. 2017. A Systematic Mapping Study of Empirical Studies on Software Cloud Testing Methods. 2017 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C) (pp. 555-562). link> doi> full text>
  • Al-Janabi MF, de Quincey E, Andras PE, others. 2017. Using supervised machine learning algorithms to detect suspicious URLs in online social networks. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. Keele University. doi> full text>
  • Al-Janabi M and Andras PE. 2017. A systematic analysis of random forest based social media spam classification. full text>
  • Olorisade B, Brereton OP, Andras P. 2017. Reporting Statistical Validity and Model Complexity in Machine Learning based Computational Studies. In Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering (EASE'17). ACM. doi> full text>
  • Andras PE. 2016. Social Learning, Environmental Adversity and the Evolution of Cooperation. MIT. doi> full text>
  • Alshamsi A, Williams N, Andras PE. 2016. The Trade-off between Usability and Security in the Context of eGovernment: A Mapping Study. ACM. doi> full text>
  • Olorisade BK, De Quincey E, Brereton OP, Andras PE. 2016. A Critical Analysis of Studies that Address the Use of Text Mining for Citation Screening in Systematic Reviews. EASE '16 Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering. ACM. doi> full text>
  • Steyn JS and Andras P. 2017. Analysis of the dynamics of temporal relationships of neural activities using optical imaging data. link> doi> full text>
  • Andras PE. 2015. Environmental Factors and the Emergence of Cultural – Technical Innovations. Proceedings of the European Conference on Artificial Life 2015 (pp. 130-137). MIT Press. doi> full text>
  • Duffee B and Andras PE. 2015. Detecting communities of methods using dynamic analysis data. Sixth International Workshop on Emerging Trends in Software Metrics (pp. 11-20). IEEE. full text>
  • Duffee B, Andras P, IEEE. 2015. Detecting Communities of Methods using Dynamic Analysis Data. PROCEEDINGS SIXTH INTERNATIONAL WORKSHOP ON EMERGING TRENDS IN SOFTWARE METRICS WETSOM 2015 (pp. 11-20). link> doi>
  • Hammerla N, Ploetz T, Rochester L, Fisher J, Walker R, Andras PE. 2015. PD disease state assessment in naturalistic environments using deep learning. full text>
  • Sinmai K and Andras PE. 2014. Mapping on Surfaces: Supporting Collaborative Work Using Interactive Tabletop. Collaboration and technology - CRIWG 2014 (pp. 319-334). Springer. doi> full text>
  • Hammerla NY, Kirkham R, Andras PE, Ploetz T. 2013. On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution. 2013 International Symposium on Wearable Computers (pp. 65-68). ACM.
  • Andras P, Pakhira A, Moreno L, Marcus A, IEEE. 2013. A Measure to Assess the Behavior of Method Stereotypes in Object-Oriented Software. 2013 4TH INTERNATIONAL WORKSHOP ON EMERGING TRENDS IN SOFTWARE METRICS (WETSOM) (pp. 7-13). link>
  • Luo JW, Degenaar P, Coapes G, Yakovlev A, Mak T, Andras P, IEEE. 2013. Towards Reliable Hybrid Bio-Silicon Integration Using Novel Adaptive Control System'. 2013 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) (pp. 2311-2314). link>
  • Pakhira A and Andras PE. 2012. Using network analysis metrics to discover functionally important methods in large-scale software systems. Emerging Trends in Software Metrics (WETSoM), 2012 3rd International Workshop on (pp. 70-76). IEEE. doi>
  • Yu S-Y, Hammerla N, Yan J, Andras P, IEEE. 2012. A statistical aimbot detection method for online FPS games. 2012 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). link>
  • Yu S-Y, Hammerla N, Yan J, Andras P. 2012. Aimbot Detection in Online FPS Games Using a Heuristic Method Based on Distribution Comparison Matrix. NEURAL INFORMATION PROCESSING, ICONIP 2012, PT V (vol. 7667, pp. 654-661). link>
  • Luo JW, Mak T, Yu B, Andras P, Yakovlev A. 2011. Towards neuro-silicon interface using reconfigurable dynamic clamping. Conf Proc IEEE Eng Med Biol Soc (vol. 2011, pp. 6389-6392). link> doi>
  • Andras PE. Cooperation in Repeated Rock-Paper-Scissors Games in Uncertain Environments. full text>
  • Andras P and IEEE. 2015. High-Dimensional Function Approximation Using Local Linear Embedding. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). link> doi> full text>
  • Al-Said Ahmad A and Andras PE. Measuring the Scalability of Cloud-based Software Services. full text>
  • Dos Santos F, Steyn JS, Andras P, IEEE. 2016. Modelling the Restoration of Activity in a Biological Neural Network. 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (pp. 4672-4679). link> full text>
  • Andras PE. Open-Ended Evolution in Cellular Automata Worlds. full text>
  • Andras PE. Random Projection Neural Network Approximation. IEEE. full text>
  • Olorisade BK, Brereton OP, Andras PE. Reporting Statistical Validity and Model Complexity in Computational Studies. Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering. IEEE. doi> full text>