“…The joy of discovery is the liveliest that the mind of man can ever feel…” – Claude Bernard

Journal Articles

• Kingsley Okoye, Usman Naeem and Syed Islam. 2017. Semantic Fuzzy Mining: Enhancement of process models and event logs analysis from Syntactic to Conceptual Level. International Journal of Hybrid Intelligent System, vol. 14 (1-2), pp. 67–98 [Download] [PDF] © IOS Press.

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E. 2016. Discovery and Enhancement of Learning Model Analysis through Semantic Process Mining. International Journal of Computer Information Systems and Industrial Management Applications (IJCISIM), vol. 8(2016), pp. 093-114. [Download] © Machine Intelligence Research Labs (MIR Labs) USA.

• Okoye, K., 2016. Learning Pattern Discovery: Impact of User-centric Design Approach Towards Enhancement of E-learning Systems. Computing and Information Systems Journal, vol. 20(2), pp. 37-49. [Download] © University of the West of Scotland.

• Okoye K., Jahankhani H., and Tawil A.R.H. 2014. Accessibility of Dynamic Web Applications with Emphasis on the Visually Impaired Users. IET Journal of Engineering, JOE. Online ISSN: 2051-3305. Volume 2014, Issue 9, September 2014, p. 531 – 537 [Download] © IET Digital Library.

• Okoye, K., Naeem, U., Islam, S., Tawil, A. R. H. & Lamine, E, 2017. Process Models Discovery and Traces Classification: a Fuzzy-BPMN Mining Approach. Journal of International Technology and Information Management (JITIM). Vol. 26(4) Article 1, pp. 1-50. Online ISSN: 1941-6679. [Download] © IIMA 2018.

• Okoye, K. 2018. Mining Useful Information from Big Data Models through Semantic-based Process Modelling and Analysis. Communications of the International Information Management Association (CIIMA) ISSN: 1941-6687. To Appear [pdf Download] © IIMA 2018 

• Okoye, K. 2018. Process Mining with Semantics: Real-time Application on a Learning Process Domain. Journal of Network and Innovative Computing (JNIC) ISSN: 2160-2174, vol. 6(1) 2018. pp. 025 - 033 [Download] © Machine Intelligence Research Labs (MIR Labs) USA.

• Okoye, K. 2018. Automation of a Learning Process through Semantic-based Process Modelling and Reasoning Method. Thematic Issue of Current Analysis on Instrumentation and Control (CAIC) Journal, vol. 1(2019), pp. 1-8 [Download] © Mesford Publishers 2018.

• Okoye, K. 2019. A Systematic Review of Process Modelling Methods and its Application for Personalised Adaptive Learning Systems. Journal of International Technology and Information Management: Vol. 27: Issue. 3, Article 3: pp. 23-46  [Download] © IIMA csusb scholarworks 2019.

Book Chapters

• Okoye K., Islam S., Naeem U., Sharif M.S., Azam M.A., Karami A. (2019) The Application of a Semantic-Based Process Mining Framework on a Learning Process Domain. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Systems and Applications. Advances in Intelligent Systems and Computing, vol 868. Chapter 96, pp 1381-1403, Springer Cham [Download] Proceedings of SAI Intelligent Systems Conference, IntelliSys 2018. [Conference pics] © Springer, 2019.

• Okoye, K., Tawil, A. R. H., Naeem, U. Islam, S. & Lamine, E. 2018. Semantic-based Model Analysis towards Enhancing Information Values of Process Mining: Case Study of Learning Process Domain. In: A. Abraham, A. K. Cherukuri, A. M. Madureira & A. K. Muda, editors. Advances in Intelligent Systems and Computing book series (AISC, volume 614). Proceedings of SoCPaR Conference 2016.  Springer International Publishing AG. 2018. p. 622-633. [Download] © Springer

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E. 2016. A Semantic Reasoning Method Towards Ontological Model for Automated Learning Analysis. In: Pillay, N., Engelbrecht, A., Abraham, A., du Plessis, M., Snášel, V., Muda, A., editors. Advances in Intelligent Systems and Computing. NaBIC Conference 2015. Springer Switzerland: 2016. p. 49-60. [Download] © Springer

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E., 2016. Semantic Process Mining Towards the Discovery and Enhancement of Learning Model Analysis. In: Petrova, V. M, eds. Advances in Engineering Research, vol. 13,  Chapter: 6, pp. 121-164. [Download] © Nova Science Publishers, USA.

• Kingsley Okoye, Syed Islam, and Usman Naeem, 2018. Ontology: Core Process Mining and Querying Enabling Tool. In: C. Thomas, Editor. Ontology in Information Science, Chapter 7, pp. 145-168. Online ISBN: 978-953-51-3888-4 [Download] © InTechOpen Publishers

• Kingsley Okoye, Usman Naeem, Syed Islam, Abdel-Rahman H. Tawil and Elyes Lamine, 2017. Process Models Discovery: A Fuzzy-BPMN Mining Approach. In Usoro A. & West D. Editors. Smart Systems for Complex Problems. Chapter: 13, pp. 17. Publisher: IIMA/ICITED Joint Conference 2017. ISBN: 978-1-64136-046-3 [Download] © University of the West of Scotland

Conference and Workshop Papers

• Kingsley Okoye, Abdel-Rahman H. Tawil, Usman Naeem, Syed Islam and Elyes Lamine, 2016. Using Semantic-based Approach to Manage Perspectives of Process Mining: Application on Improving Learning Process Domain Data. IEEE International Conference on Big Data (Big Data), Washington, D.C, 2016. p. 3529-3538. December 2016. [Download] [PDF] © IEEE, 2016.

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E., 2015. Semantic Process Mining Towards Discovery and Enhancement of Learning Model Analysis. Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications (HPCC), New York, USA, pp. 363-370. [Download] [PDF]© IEEE, 2015.

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E., 2014. A Semantic Rule-based Approach Supported by Process Mining for Personalised Adaptive Learning. Procedia Computer Science, 37(C), pp. 203-210. In proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014) Halifax, Nova Scotia, Canada. [Download] © Elsevier ScienceDirect, 2014.

• Okoye, K., Tawil, A. R. H., & Naeem, U., 2014. Semantic Rule-Based Approach Towards Process Mining for Personalized Adaptive Learning. In Making an Impact With Research: Proceedings of 7th Annual Manchester Metropolitan University Postgraduate Research Conference, Manchester, United Kingdom. ISBN 978-1-910029-07-7  Volume: pp. 46 [Download] © MMU, 2014.

• Okoye, K., Tawil, A. R. H., Naeem, U., Bashroush, R. & Lamine, E., 2014. A Semantic Rule-Based Approach Towards Process Mining for Personalised Adaptive Learning. In Proceedings of Algorithmic & Modelling workshops of the 16th IEEE International Conference on High Performance Computing and Communications (HPCC) Paris, France, pp. 929 – 936. [Download] © IEEE, 2014.

• Okoye K., Tawil A.R.H., Naeem U., and Lamine E. 2015. Process Mining Towards Automated Learning: A Semantic Rule-Based Approach. Proceedings of the 11th IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, August 24-28, 2015. pp. 1403 - 1408. [Download] © IEEE, 2015.

• Okoye, K. 2015. A User-Centric Design Towards Performance Development for Adaptive E-Learning Systems, 2015. 12th International Conference of the Nigeria Computer Society (NCS), Vol (26), page 87-97. [PDF] © NCS, 2015

Technical Reports

• Okoye, K. (2017) Semantic Process Mining Towards Discovery and Enhancement of Process Models and Event Logs Analysis: Application on Learning Process Domain. Thesis completed as part of Doctoral Research Program in Software Engineering, University of East London [PPT] © UEL

• Okoye, K., Tawil, A. R. H., Naeem, U. & Lamine, E., 2016. Fuzzy-BPMN Miner approach - Process Discovery Contest @ BPM 2016. Technical Report, IEEE CIS Task Force on Process Mining discovery contest [1st Ed] in BPI workshop co-allocated with BPM 2016 Conference, Rio de Janeiro. [Download] © IEEE CIS Task Force on Process Mining, 2016.
  
  

• Okoye, K., 2013. A Systematic Review towards the development of Personalised Adaptive Learning System for people with attention deficit hyperactivity disorder through Process Mining. Research Methods for Technologist Course [Download] © UEL