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Personal profile

General

I am a Reader in Computer Science at Aston University, also Associate Dean for Postgraduate Programmes in the School of Engineering and Applied Science.

I joined Aston as a lecturer in Computer Science in January 2006. Previously, I held research positions at the Institute for Computer Science and Control, Hungarian Academy of Sciences in Budapest, Hungary. At the same time I lectured in Artificial Intelligence at various levels for the Eötvös Loránd University and the Dennis Gábor University in Budapest. 

Between 2001 and 2003 I was a lecturer in Computer Science at the University of Birmingham. where I lectured in Artificial Intelligence and Human Computer Interaction.

Research Interests

Genetic programming

Evolutionary computation

Evolutionary art

Social learning

Data mining applied to engineering, design and health

Artificial intelligence

Teaching Activity

Associate Dean Postgraduate Programmes

Programme Director MSc Artificial Intelligence

Current modules:

CS4780 Research Methods and Professional Practice

CS4720 Computational Intelligence

CS4710 AI: Vision and Reality

SE4027 Professional Literature Study

CS3910 Computational Intelligence

DC2095 System and Software Analysis

CS1060 Computational Reasoning and Communication Skills

Previously taught modules:

CS4680 Professional Skills in Computing

CS4600 Diploma Project

CS4800 MSc Project

CS4650 Interaction Design

CS3410 Interaction Design

CS2190 Software Lifecycle

CS2090 Software Lifecycle and Design

CS1140 Introduction to Artificial Intelligence

Qualifications

  • Aston ExCL, 2010
  • Aston Certificate in Learning and Teaching in Higher Education, 2007
  • PhD in Informatics, Eötvös Loránd University, Budapest, 2001
  • MSc in Next Generation of Computers, Technical University of Cluj-Napoca, Romania, 1996
  • MSc with Distinction in Computer Science, Technical University of Cluj-Napoca, Romania, 1995

Employment

  • Since August 2018: Reader in Computer Science, School of  Engineering and Applied Science, Aston University
  • August 2012-July 2018: Senior Lecturer in Computer Science, School of  Engineering and Applied Science, Aston University
  • 2006 – July 2012: Lecturer in Computer Science, School of  Engineering and Applied Science, Aston University
  • 2003 – 2006: Senior Researcher, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary
  • 2001 – 2003: Lecturer in Computer Science, University of Birmingham
  • 1996-2001: Researcher, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary 

Membership of Professional Bodies

ACM, IEEE

Contact Details

Phone number: 0121 204 3456

Email: a.ekart@aston.ac.uk

Room number: MB 211J

External positions

Editorial Board Member, Genetic Programming and Evolvable Machines journal

2012 → …

Keywords

  • QA76 Computer software
  • computer art
  • evolutionary computation
  • genetic programming
  • artificial intelligence
  • data mining

Fingerprint Dive into the research topics where Aniko Ekárt is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Genetic programming Engineering & Materials Science
Genetic Programming Mathematics
Evolutionary algorithms Engineering & Materials Science
Retinal Vessels Medicine & Life Sciences
Brain Engineering & Materials Science
Electroencephalography Engineering & Materials Science
Classifiers Engineering & Materials Science
Genetic algorithms Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2003 2019

Accent classification in human speech biometrics for native and non-native english speakers

Bird, J. J., Wanner, E., Ekárt, A. & Faria, D. R., 5 Jun 2019, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. ACM, p. 554-560 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biometrics
Hidden Markov models
Speech recognition
Learning systems
Acoustic waves

A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction

Bird, J., Faria, D., Manso, L. J., Ekárt, A. & Buckingham, C. D., 13 Mar 2019, In : Complexity. 2019, 14 p., 4316548.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Brain
Classifiers
Multilayer neural networks
Evolutionary algorithms

A Study on Mental State Classification using EEG-based Brain-Machine Interface

Bird, J., Manso, L. J., Ribeiro, E. P., Ekárt, A. & Faria, D., 8 May 2019, 9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings. Martins, J., Jotsov, V., Bierwolf, R., Mendonca, J. P., Jardim-Goncalves, R. & Marques, M. (eds.). IEEE, p. 795-800 6 p. 8710576. (2018 International Conference on Intelligent Systems (IS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electroencephalography
Brain
Classifiers
Bayesian networks
Support vector machines

Disobedience as a mechanism of change

Burth Kurka, D., Pitt, J., Lewis, P. R., Patelli, A. & Ekart, A., 15 Jan 2019, Proceedings - 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2018. IEEE, Vol. 2018-September. p. 1-10 10 p. 8613714. ( 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi agent systems
Iron
Specifications
Monitoring
Experiments

Evolutionary Optimisation of Fully Connected Artificial Neural Network Topology

Bird, J. J., Ekárt, A., Buckingham, C. D. & Faria, D. R., 23 Jun 2019, Intelligent Computing - Proceedings of the 2019 Computing Conference. Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag Wien, p. 751-762 12 p. (Advances in Intelligent Systems and Computing; vol. 997).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Topology
Neural networks
Multilayer neural networks
Network architecture
Neurons

Thesis

A novel dynamic feature selection and prediction algorithm for clinical decision involving high-dimensional and varied patient data

Author: Saleh, S., 7 Sep 2016

Supervisor: Ekart, A. (Supervisor) & Buckingham, C. D. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File

Case based design of knitwear

Author: Richards, P., 25 Mar 2013

Supervisor: Ekart, A. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File

Retinal vascular function and cardiovascular risk factors

Author: Seshadri, S., 19 Oct 2015

Supervisor: Gherghel, D. (Supervisor) & Ekart, A. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

File

Activities 2012 2012

  • 1 Participation in conference
  • 1 Editorial activity

Genetic and Evolutionary Computation Conference

Aniko Ekárt (Chair)
2012 → …

Activity: Participating in or organising an event typesParticipation in conference

Neural Computing and Applications (Journal)

Aniko Ekárt (Editorial board member)
2012

Activity: Publication peer-review and editorial work typesEditorial activity