Photo of Chrisina Jayne

Chrisina Jayne

Professor

20142019
If you made any changes in Pure these will be visible here soon.

Personal profile

Academic Biography

Professor Chrisina Jayne is Dean of the School of Computing & Digital Technologies. She received her PhD degree in Applied Mathematics and an MSc in Mathematics and Informatics from Sofia University, Bulgaria. She also holds an MSc in Computing Science and a Postgraduate Diploma in Management from Birkbeck College, University of London.

Chrisina joined Teesside University in August, 2019, from Oxford Brookes University, where she was the Head of the School of Engineering, Computing and Mathematics. As well as Oxford Brookes University, Chrisina has previously worked in a number of universities in the UK, including Head of the School of Computing and Digital media at Robert Gordon University and Head of the Department of Computing at Coventry University. 

Chrisina is a Senior Fellow of the Higher Education Academy and Chartered IT Professional Fellow of the British Computer Society (BCS). She was awarded a UK National Teaching Fellowship award in 2009 in recognition of excellence in learning and teaching.

Summary of Research Interests

Chrisina's recent research relates to developing and applying novel methods for artificial neural networks, machine learning and artificial intelligence. She authored over 70 peer reviewed papers in international journals and at leading conferences.

External Roles and Professional Activities

Chrisina has been involved in many activities of the International Neural Network Society (INNS) as elected member of the Board of Governors for the society and currently serves as VP for Education of the Board of Governors. She has been the coordinator of the Special Interest Group of Engineering Applications of Neural Networks (EANN) since 2009 and has chaired the Engineering Applications of Neural Network Conferences in 2012, 2014 and 2016, technically sponsored by INNS. Chrisina was the Program Chair of the International Joint Conference on Neural Networks (IJCNN) in 2017 and a General Co-Chair for IJCNN 2019. IJCNN is one of the largest conferences in the world in Artificial Neural Networks.

Chrisina is on the editorial board of the Springer journal “Neural Computing and Applications” and associate editor for “IEEE Transactions on Neural Networks and Learning Systems.

Enterprise Interest and Activities

Chrisina has interests in projects related to application of artificial intelligence and machine learning methods in engineering, business and education.  She has been involved in projects related to handling and working with unstructured documents, including text documents, images and other data modalities; creating a digitization platform for processing, detecting and classifying symbols in engineering drawings; developing an intelligent adaptive feedback for students and mobile learning.

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

Drawing (graphics) Engineering & Materials Science
Demonstrations Engineering & Materials Science
Multilayer neural networks Engineering & Materials Science
Imitation Mathematics
Character recognition Engineering & Materials Science
Quality Assurance Mathematics
Analog to digital conversion Engineering & Materials Science
Diabetic Retinopathy Medicine & Life Sciences

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

Research Output 2014 2019

  • 6 Article
  • 1 Conference contribution
71 Downloads (Pure)

New trends on digitisation of complex engineering drawings

Moreno-garcía, C. F., Elyan, E. & Jayne, C., 30 Jun 2019, In : Neural Computing and Applications. 31, 6, p. 1695-1712

Research output: Contribution to journalArticle

Open Access
File
Drawing (graphics)
Analog to digital conversion
Computer vision
Image processing
Mechanical engineering

Deep CNNs with Rotational Filters for Rotation Invariant Character Recognition

Barrow, E., Eastwood, M. & Jayne, C., 15 Oct 2018, 2018 International Joint Conference on Neural Networks (IJCNN) Proceedings. IEEE, 8 p. (International Joint Conference on Neural Networks (IJCNN); vol. 2018).

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

Character recognition
Object recognition
Invariance
39 Downloads (Pure)

Deep imitation learning for 3D navigation tasks

Hussein, A., Elyan, E., Gaber, M. M. & Jayne, C., 30 Apr 2018, In : Neural Computing and Applications. 29, 7, p. 389-404

Research output: Contribution to journalArticle

Open Access
File
Navigation
Demonstrations
Reinforcement learning
Intelligent agents
Trajectories

Imitation Learning: A Survey of Learning Methods

Hussein, A., Gaber, M. M., Elyan, E. & Jayne, C., 6 Apr 2017, In : ACM Computing Surveys. 50, 2, 35 p., 21.

Research output: Contribution to journalArticle

Open Access
Imitation
Teaching
Demonstrations
Computer games
Human computer interaction
40 Downloads (Pure)

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing

Rahim, S. S., Palade, V., Shuttleworth, J. & Jayne, C., 31 Dec 2016, In : Brain Informatics. 3, 4, p. 249-267

Research output: Contribution to journalArticle

Open Access
File
Diabetic Retinopathy
Screening
Image processing
Feature extraction
Hough transforms