Profile

Eyad Elyan
Title: Dr
First Name: Eyad
Surname: Elyan
Position: Reader
Telephone: +44 (0)1224 262737
Email:
Linkedin: LinkedIn Icon http://www.linkedin.com/in/elyan
ORCID: ORCID Icon http://orcid.org/0000-0002-8342-9026

 

19934H.Ugail and E. Elyan, "Efficient 3d data representation for biometric applications", In Scientific Support for the Decision Making in the Security Sector, NATO Science for Peace and Security Series-D, Information and Communication Security, vol. 12. Kounchev, R. Willems, V. Shalmanov and Tsv.Tsachev (eds.), 2007, pp. 215-228. URL: http://ebooks.iospress.nl/publication/23460

Duties and Responsibilities

  • Lead Machine Learning and Vision Applications research theme
  • PhD supervision
  • Reviewer for several international journals and member of the program committees for several international conferences.
  • Internal and external examiner for several PhD students.
  • Teaching and supervision duties at the undergraduate and postgraduate levels. Modules taught include: Big Data Analytics and Visualisation, Data Science Development, Advanced Data Science and Image Processing
  • MSc Data Science course leader (2016 to 2018), and Research Degree Coordinator (2017 to 2018)

Academic Background

BSc (Hons), MSc (Distinction), PhD.

Dr. Elyan is a Reader at the School of Computing Science and Digital Media (RGU). His research in the area of machine learning and machine vision is primarily focused on creating novel methods to represent and extract knowledge from unstructured and structured data and applying it to solve industrial problems.

Eyad has attracted funds to support his research from different public funding bodies including Innovate UK, the Data Lab Innovation Centre and Oil and Gas Innovation Centre (OGIC), Historic Environment Scotland and Others. He is leading several projects with industrial partners across different domains including Oil and Gas, Construction, Sports Science, and Health.

He obtained his first degree in Computer Science in 1999. In 2004, he was awarded an MSc in Software Engineering with distinction from the University of Bradford-UK. In 2005, Eyad was granted a fully funded PhD studentship from the University of Bradford, and in 2008 he was awarded a PhD for his thesis on 3D modelling, representation and recognition of human faces.

Dr. Elyan is a Fellow member of the British Higher Education Academy. He served as a Program Committee member for several international conferences and as a reviewer for several international journals in the area of machine vision, machine learning and data analytics. 

Research Interests

Machine Learning and Machine Vision (image classification, class-imbalance problem and video content analysis).

 

Funding

  • Phase 2 of the Intelligent Digitisation Platform for Processing Engineering Drawings: Toward Fully Automated Platform for Information Extraction from Engineering Drawings. Funded by the Oil and Gas Innovation Centre, Scottish Data Lab Innovation Centre and DNV GL Limited, (duration 12 months, Aug-2018 to Aug-2019), Total Value £110,000, Principal Investigator (PI)
  • Natural Language Classification of Oilfield Engineering Documents. Funded by the Oil and Gas Innovation Centre and Independent Data Services (IDS), (duration 12 months, July-2018 to July-2019), Total Value £48,894, Principal Investigator (PI)
  • Machine Learning Platform for the Automatic Prediction of Defective Operating Conditions and Failures in Oil and Gas Industry, Proof of Concept. Funded by Scottish Data Lab Innovation Centre and Operational Excellence (OPEX) Group Ltd, (duration 2 months, Aug-2018 to Oct-2018), Total Value £20,000, Principal Investigator (PI)
  • Data Analytics platform for exploring, visualising and Mining Structured and Un-structured Oilfield Data. In collaboration with Independent Data Services (IDS), Aberdeen. Funded by Innovate UK. May 2017 to May 2019. Total value £137,000. Principal Investigator (PI)
  • Intelligent Well Planning (Mining and visualising structured and unstructured oilfield data). Funded by the Data Lab Innovation Centre and Independent Data Services (IDS), March 2017 to December 2017. Total value £29,000. Principal Investigator (PI).
  • Intelligent Digitization Platform for Processing, Detecting and Classifying Symbols in Engineering Drawings. Funded by Scottish Data Lab and DNV GL Limited, (2016, 2107), Total value £ 180,000, Principal Investigator (PI).
  • Augmented Reality (AR) Procedural Guide System for the Energy Sector. Funded by Oil & Gas Innovation Centre (OGIC), Scottish Data Lab Innovation Centre & Cadherent Limited,  £150,000. Principal Investigator (PI).
  • Mapping Personal Movement Space Inside Historic Buildings. The project is led by Dr. Arthur Stewart and funded by Historic Scotland, value £46,000 (Co-I)
  • Toward better and safer sports practices using intelligent machine vision platform and data analytics, Knowledge Transfer Partnership (KTP) with Sport Technology Services Ltd ( Sep 2015 to Sep2017), value £122,000, Principal Investigator (PI)
  • Machine vision-based platform for Augmented Reality (AR) procedural system, Oil & Gas Innovation Centre (OGIC) & Cadherent Ltd. (June 2015 to Nov 2015), value £52,000, Principal Investigator (PI)
  • Interactive 2D and 3D visualization and modelling platform for Joists and timber products engineering, Technology Strategy Board (TSB) and James Jones and Sons Ltd (KTP), (Sep 2012 to Sep2014), value £125,532, Principal Investigator (PI)
  • Size and Shape analysis and visualization of UK Offshore Workers, Knowledge Transfer Partnership with Oil and Gas Ltd, (Sep 2013 to Sep 2015), value £137,831. In collaboration with Dr. Arthur Stewart, Co-Investigator (Co-I).
  • Study Awards:

    • University of Bradford: PhD Studentship (36 K GBP), 2005 – 2008
    • UK Foreign and Commonwealth Office: Chevening full-cost scholarship (20k GBP), 2003 - 2004

    Professional Memberships

    Fellow member of the British Higher Education Academy (HEA)

    Publications

    Eyad Eylan's Google Scholar Profile

    Journals 

    • Moreno-García, C. E Elyan . & C Jayne. “New trends on digitisation of complex engineering drawings”, Neural Comput & Applic (2018). https://doi.org/10.1007/s00521-018-3583-1
    • A. Hussein, E. Elyan,M. M. Gaber and C. Jayne , “Deep Imitation Learning for 3D Navigation Tasks”, Neural Computing and Application, , 29(7): 389--404, 2018, https://dx.doi.org/10.1007/s00521-017-3241-z
    • A. Stewart, E. Elyan, J. Isaacs, L. McEwen, and L. Wilson. “The effect of person order on egress time: A simulation model of evacuation from a Neolithic visitor attraction”. Human Factors, 59(8):1222-1232,2017. 10.1177/0018720817729608.
    • A Hussein, M M Gaber, E Elyan, and Chrisina Jayne. 2017. Imitation Learning: A Survey of Learning Methods. ACM Comput. Surv. 50, 2, Article 21 (April 2017), 35 pages. doi:https://doi.org/10.1145/3054912
    • E Elyan, M M Gaber, A genetic algorithm approach to optimising random forests applied to class engineered data, Information Sciences, Volume 384, April 2017, Pages 220-234, ISSN 0020-0255, doi:10.1016/j.ins.2016.08.007
    • E. Elyan and M. M. Gaber. A fine-grained random forests using class decomposition: an application to medical diagnosis. Neural Computing and Applications, 27(8):2279-2288, 2016, doi:10.1007/s00521-015-2064-z
    • M. M.Abdelsamea, G. Gnecco, M. M. Gaber, and E. Elyan,"On the Relationship between Variational Level Set-Based and SOM-Based Active Contours", Computational Intelligence and Neuroscience, vol. 2015, Article ID109029, 19 pages. doi:10.1155/2015/109029
    • K.Fawagreh, M. M. Gaber, and E. Elyan, "Random forests: from early developments to recent advancements", Systems Science and Control Engineering, vol. 2 no. 3, pp. 602-609, 2014. doi:10.1080/21642583.2014.956265
    • O.R. Akinlofa, P. O. Holt, and E. Elyan, "The cognitive benefit of dynamic representations on procedural skill acquisition: A computational modeling approach", International Journal of Human-Computer Interaction, vol. 30, no. 3, pp. 250- 265, 2014. doi:10.1080/10447318.2013.849550
    • O.R. Akinlofa, P. O. Holt, and E. Elyan, "The cognitive benefits of dynamic representations in the acquisition of spatial navigation skills", Computers in Human Behavior, vol. 30, no. 0, pp. 238-248, 2014. doi:10.1016/j.chb.2013.09.009
    • O.R. Akinlofa, P. O. Holt, and E. Elyan , "Effect of interface dynamism on learning procedural motor skills", Interacting with Computers, vol. 25, no. 3, pp. 259- 269,2013. doi:10.1093/iwc/iws015
    • O.R. Akinlofa, P. O. Holt, and E. Elyan, "Domain expertise and the effective- ness of dynamic simulator interfaces in the acquisition of procedural motor skills", British Journal of Educational Technology, vol. 44, no. 5, pp. 810-820, 2013. doi:10.1111/j.1467-8535.2012.01364.x
    • E.Elyan and H. Ugail, "Reconstruction of 3d human facial images using partial Differential equations", Journal of Computers, vol. 2, no. 8, 2007.doi:10.4304/jcp.2.8.1-8

     

    Conference Contributions

    • A. Hussein, E. Elyan,M. M. Gaber and C. Jayne , “Deep reward shaping from demonstrations”, 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK,USA, 2017, pp. 510-517.http://dx.doi.org/10.1109/IJCNN.2017.7965896
    • K. Fawagreh, M. M. Gaber, and E. Elyan, “CLUB-DRF: A Clustering Approach to Extreme Pruning of Random Forests”, in Research and Development in Intelligent Systems XXXII. Springer International Publishing, 2015, pp. 59-73. doi:10.1007/978-3-319-25032-8_4
    • K. Fawagreh, M. M. Gaber, and E. Elyan , “A Replicator Dynamics Approach to Collective Feature Engineering in Random Forests,” in Research and Development in Intelligent Systems XXXII. Springer International Publishing, 2015, pp. 25-41. doi:10.1007/978-3-319-25032-8_2
    • K.Fawagreh, M. M. Gaber, and E. Elyan,"Diversified random forests using random subspaces", in Intelligent Data Engineering and Automated Learning, IDEAL 2014. Springer International Publishing, 2014, pp. 85-92. doi:10.1007/978-3-319-10840-7_11
    • L.Wang, E. Elyan, and D. Song, "Rebuilding visual vocabulary via spatial-temporal context similarity for video retrieval", in MultiMedia Modeling. Springer International Publishing, 2014, pp. 74{85. doi:10.1007/978-3-319-04114-8_7
    • E.Elyan, "Enhanced interactivity and engagement: Learning by doing to simplify mathematical concepts in computer graphics and animation", in IEEE International Conference on Global Engineering Education Conference (EDUCON),2012, April, pp. 1-8. doi:10.1109/EDUCON.2012.6201073
    • L.Wang, D. Song, and E. Elyan,"Improving bag-of-visual-words model with spatial-temporal correlation for video retrieval", in Proceedings of the 21st ACM international conference on Information and knowledge management. CIKM '12. New York, NY, USA: ACM, 2012,pp. 1303-1312. URL:http://dl.acm.org/citation.cfm?id=2398433
    • O.R. Akinlofa, P. O. Holt, and E. Elyan, "The acquisition of spatial navigational skills from dynamic versus static visualisations", in Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers. BCS-HCI '12. Swinton, UK: British Computer Society, 2012, pp. 298-302. URL:http://dl.acm.org/citation.cfm?id=2377916.2377956
    • O.R. Akinlofa, P. O. Holt, and E. Elyan,"Performance modelling of interface dynamism in motor skills acquisition", in Proceedings of the 11th International Conference on Cognitive Modeling ICCM2012, Berlin, Germany, 2012, pp. 129-133.
    • L.Wang, D. Song, and E. Elyan,"Words-of-interest selection based on temporal motion coherence for video retrieval", in Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, ser. SIGIR '11. New York,NY, USA: ACM, 2011, pp. 1197-1198. doi:10.1145/2009916.2010117
    • L.Wang, D. Song, and E. Elyan, "Video retrieval based on words-of-interest selection", in Proceedings of the 33rd European conference on Advances in information retrieval, ECIR'11. Berlin,Heidelberg: Springer-Verlag, 2011, pp. 687-690. doi:10.1007/978-3-642-20161-5_71
    • E.Elyan and H. Ugail, "Automatic features characterization from 3d facial images", in Proceedings of the 2010 International Conference on Computer Graphics & Virtual Reality, CGVR 2010, July 12-15, 2010, Las Vegas, Nevada,USA, 2010, pp. 67-73 2009.
    • E.Elyan and H. Ugail, "Interactive surface design and manipulation usingpde-method through autodesk maya plug-in", in IEEE Sponsored International Conference on CyberWorlds, 2009. CW '09., 2009, pp. 119-125. doi:10.1109/CW.2009.49
    • E.Elyan and H. Ugail, "Automatic 3d face recognition using fourier descriptors", in IEEE Sponsored International Conference on CyberWorlds, 2009.CW '09., Sept., pp. 246-252. doi:10.1109/CW.2009.48

     Book Chapters

    • E. Elyan and D C Doolan, "Processing and Recognising Faces in 3D Images", New Approaches to Characterization and Recognition of Faces, Dr. Peter Corcoran(Ed.), ISBN: 978-953-307-515-0, InTech, doi:10.5772/19934
    • H. Ugail and E. Elyan, "Efficient 3d data representation for biometric applications", In Scientific Support for the Decision Making in the Security Sector, NATO Science for Peace and Security Series-D, Information and Communication Security, vol. 12. Kounchev, R. Willems, V. Shalmanov and Tsv. Tsachev (eds.), 2007, pp. 215-228. URL: http://ebooks.iospress.nl/publication/23460