Dr John Bullinaria

Dr John Bullinaria

School of Computer Science
Honorary Senior Lecturer

Contact details

Email
j.a.bullinaria@cs.bham.ac.uk
Address
School of Computer Science
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

John Bullinaria is an Honorary Senior Lecturer in Computer Science.

John’s academic career began in Theoretical Physics, before moving on via Mathematics, Artificial Intelligence  and Psychology to settle on his current role in Computer Science in 2001. He has over 100 refereed research publications spanning those subjects.

For more information, please see John's

 

Qualifications

  • MSc in Artificial Intelligence, Cranfield University, 1991

  • PhD in Theoretical Physics, Southampton University, 1985

  • MASt in Mathematics, Cambridge University, 1982

  • BSc in Physics, Imperial College London, 1981

Biography

John Bullinaria’s academic career began as a Theoretical Physicist with a PhD on supergravity and other unified field theories from Southampton University, followed by a post-doctoral research position in the Mathematics Department of Durham University working on superstring theory and quantum gravity. He then spent three years "travelling the world" before returning to academia by retraining in Artificial Intelligence and taking up a series of post-doctoral research fellowships in the Psychology departments of Edinburgh University, Birkbeck College London and Reading University working on various computational modelling projects. He moved to Birmingham to take up a lectureship in Computer Science in 2001 and retired in 2019 but remains an honorary member of staff at Birmingham.

Research

John’s current research interests are mainly in the fields of Computational Intelligence, Cognitive Science, and Artificial Life, particularly those aspects involving Neural and Evolutionary Computation. Major projects in the past have involved models of brain damage (connectionist neuropsychology), language processing (reading, spelling, past tense production, lexical decision), adaptive control (particularly oculomotor control), the optimization of neural information processing architectures (including the emergence of modularity), and the formulation of more biologically realistic evolutionary computation algorithms. Recently he has mainly been working on simulating the evolution of neural systems: exploring the emergence of modularity, the optimization of learning algorithms, critical periods for learning, the interaction of learning and evolution, and aspects of Life History Evolution. He also has an ongoing interest in corpus derived semantic representations, and real-world optimization applications such as vehicle routing and bin packing.

Publications

Recent publications

Article

Bullinaria, J 2018, '', Journal of Artificial Societies and Social Simulation, vol. 21, no. 3, 7. <>

Bullinaria, JA 2018, '', Cognitive Systems Research, vol. 52, pp. 429-449.

Bullinaria, J 2017, '', Artificial Life, vol. 23, no. 3, pp. 374-405.

Garcia Najera, A, Bullinaria, J & Guti茅rrez-Andrade, M 2015, '', Computers & Industrial Engineering, vol. 81, pp. 90-108.

Bullinaria, J & Alyahya, K 2014, '', Memetic Computing, vol. 6, no. 3, pp. 171-182.

Bullinaria, JA & Levy, JP 2013, '', PLoS ONE, vol. 8, no. 3, e57191.

Bullinaria, J & Levy, JP 2012, '', Behavior Research Methods, vol. 44, no. 3, pp. 890-907.

Garcia Najera, A & Bullinaria, J 2011, '', Computers & Operations Research, vol. 38, no. 1, pp. 287-300.

Chapter (peer-reviewed)

Bullinaria, J & Alyahya, K 2014, . in G Terrazas, FEB Otero & AD Masegosa (eds), Nature Inspired Cooperative Strategies for Optimization (NICSO 2013): learning, optimization and interdisciplinary applications. Springer, pp. 191-201, Nature Inspired Cooperative Strategies for Optimization (NICSO 2013), United Kingdom, 2/09/13. <>

Conference contribution

Levy, JP, Bullinaria, J & McCormick, S 2017, . in G Gunzelmann, A Howes, T Tenbrink & E Davelaar (eds), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (CogSci 2017). Cognitive Science Society, Austin, TX, pp. 2549-2554, 39th Annual Meeting of the Cognitive Science Society, London, United Kingdom, 26/07/17. <>

Bullinaria, J 2016, . in C Gershenson, T Foese, JM Siqueiros, W Aguilar, EJ Izquierdo & H Sayama (eds), Proceedings of the Artificial Life Conference 2016. MIT Press, pp. 452-459, The Artificial Life Conference 2016, Cancun, Mexico, 4/07/16.

Levy, JP & Bullinaria, J 2012, . in EJ Davelaar (ed.), Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications. World Scientific, pp. 292-308, Connectionist Models of Neurocognition and Emergent Behavior: From Theory to Applications, Proceedings of the 12th Neural Computation and Psychology Workshop, 13/10/11.

Bullinaria, J 2011, . in Neural Networks (IJCNN), The 2011 International Joint Conference on. Institute of Electrical and Electronics Engineers (IEEE), pp. 625-632, Proceedings of the International Joint Conference on Neural Networks (IJCNN 2011), 5/07/11.

Paper

Landassuri-Moreno, V & Bullinaria, J 2011, '', Paper presented at Proceedings of 2011 IEEE Congress of Evolutionary Computation (CEC 2011), 8/06/11 pp. 1958-1965.

Bullinaria, J 2011, '', Paper presented at 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose), San Jose, CA, USA, 31/07/11 - 5/08/11.