Mr Edward Currie

NameMr Edward Currie
Job titleAssociate Professor in Computing & Multimedia Technologies
Research institute
Primary appointmentComputer Science
ORCIDhttps://orcid.org/0000-0003-1186-5547
Contact categoryAcademic staff (past)

Research outputs

Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms

James-Reynolds, C. and Currie, E. 2021. Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms. Bramer, M. and Ellis, R. (ed.) 41st SGAI International Conference on Artificial Intelligence (AI-2021). Cambridge, England [Online] 14 - 16 Dec 2021 Springer. pp. 377-382 https://doi.org/10.1007/978-3-030-91100-3_31

Mindfulness mirror

Currie, E. and James-Reynolds, C. 2019. Mindfulness mirror. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer Nature. pp. 456-461 https://doi.org/10.1007/978-3-030-34885-4_36

Embedding creativity in the university computing curriculum

Currie, E. and James-Reynolds, C. 2020. Embedding creativity in the university computing curriculum. TIE 2018: 2nd EAI International Conference on Technology, Innovation, Entrepreneurship and Education. London, United Kingdom 04 Sep 2018 Springer International Publishing. pp. 25-30 https://doi.org/10.1007/978-3-030-16130-9_2

Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture

Gao, X., James-Reynolds, C. and Currie, E. 2020. Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. Neurocomputing. 392, pp. 233-244. https://doi.org/10.1016/j.neucom.2018.12.086

Mindfulness Mirror

James-Reynolds, C. and Currie, E. 2018. Mindfulness Mirror. BCS Machine Intelligence competition. BCS London Office, First Floor, The Davidson Building, 5 Southampton Street, London 05 Oct 2018

Analysing TB severity levels with an enhanced deep residual learning– depth-resnet

Gao, X., James-Reynolds, C. and Currie, E. 2018. Analysing TB severity levels with an enhanced deep residual learning– depth-resnet. Cappellato, L., Ferro, N., Nie, J-Y. and Soulier, L. (ed.) CLEF 2018 Conference and Labs of the Evaluation Forum - ImageCLEF-Multimedia Retrieval in CLEF. Avignon, France 10 - 14 Sep 2018 CEUR-WS.

MIRTO: an open-source robotic platform for education

Androutsopoulos, K., Aristodemou, L., Boender, J., Bottone, M., Currie, E., El-Aroussi, I., Fields, B., Gheri, L., Gorogiannis, N., Heeney, M., Micheletti, M., Loomes, M., Margolis, M., Petridis, M., Piermarteri, A., Primiero, G., Raimondi, F. and Weldin, N. 2018. MIRTO: an open-source robotic platform for education. 3rd European Conference on Software Engineering Education. Seeon, Germany 14 - 15 Jun 2018 Association for Computing Machinery (ACM). pp. 55-62 https://doi.org/10.1145/3209087.3209106

A survey of the benefits and issues arising from the deployment of physical artefacts in computer science teaching

Currie, E. and James-Reynolds, C. 2017. A survey of the benefits and issues arising from the deployment of physical artefacts in computer science teaching. EAI Endorsed Transactions on e-Learning. 4 (13). https://doi.org/10.4108/eai.20-6-2017.152745

Teaching functional patterns through robotic applications

Boender, J., Currie, E., Loomes, M., Primiero, G. and Raimondi, F. 2016. Teaching functional patterns through robotic applications. The 4th International Workshop on Trends in Functional Programming in Education, TFPIE 2015. Sophia-Antipolis, France 02 Jun 2015 Open Publishing Association. pp. 17-29 https://doi.org/10.4204/EPTCS.230.2

The use of physical artefacts in undergraduate computer science teaching

Currie, E. and James-Reynolds, C. 2017. The use of physical artefacts in undergraduate computer science teaching. E-Learning, E-Education, and Online Training Third International Conference, eLEOT 2016. Dublin, Ireland 31 Aug - 02 Sep 2016 Springer. https://doi.org/10.1007/978-3-319-49625-2_15

EEuGene: employing electroencephalograph signals in the rating strategy of a hardware-based interactive genetic algorithm

James-Reynolds, C. and Currie, E. 2016. EEuGene: employing electroencephalograph signals in the rating strategy of a hardware-based interactive genetic algorithm. AI-2016 Thirty-sixth SGAI International Conference on Artificial Intelligence. Cambridge, UK 13 - 15 Dec 2016 Springer. pp. 343-353 https://doi.org/10.1007/978-3-319-47175-4_25

Improving the precision of omni-directional M-mode echocardiography systems

Huang, L., Li, W., Currie, E. and Guo, W. 2016. Improving the precision of omni-directional M-mode echocardiography systems. Neurocomputing. 195, pp. 123-128. https://doi.org/10.1016/j.neucom.2015.09.121

An investigation into the efficacy of avatar-based systems for student advice

Currie, E., Harvey, P., Daryanani, P., Augusto, J., Arif, R. and Ali, A. 2016. An investigation into the efficacy of avatar-based systems for student advice. EAI Endorsed Transactions on e-Learning. 3 (11). https://doi.org/10.4108/eai.15-6-2016.151450

Enhancing student support with a virtual assistant

Harvey, P., Currie, E., Daryanani, P. and Augusto, J. 2016. Enhancing student support with a virtual assistant. Vincenti, G., Bucciero, A. and Vaz de Carvalho, C. (ed.) eLEOT 2015: 2nd EAI International Conference on e-Learning e-Education and Online Training. Novedrate, Italy 16 - 18 Sep 2015 Springer. pp. 101-109 https://doi.org/10.1007/978-3-319-28883-3_13

Eugene: a generic interactive genetic algorithm controller

James-Reynolds, C. and Currie, E. 2015. Eugene: a generic interactive genetic algorithm controller. AI-2015: Thirty-fifth SGAI International Conference on Artificial Intelligence. Cambridge, UK 15 - 17 Dec 2015 Springer International Publishing. pp. 361-366

Smart feedback and the challenges of virtualisation

James-Reynolds, C. and Currie, E. 2015. Smart feedback and the challenges of virtualisation. EAI Endorsed Transactions on Future Intelligent Educational Environments. 1 (2). https://doi.org/10.4108/fiee.1.2.e6

Evolutionary art with an EEG fitness function

Nĕmečková, I., James-Reynolds, C. and Currie, E. 2011. Evolutionary art with an EEG fitness function. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer Nature. pp. 241-252 https://doi.org/10.1007/978-3-030-34885-4_19
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