N.C.E., B.Sc., M.A., Ph.D. CompTIA A+

Professional Experience

• Jan 2020 – Present: Lecturer, Wenzhou-Kean University, Wenzhou Campus, China.

• June 2025 – July 2025: Visiting Professor, Zhejiang Industrial and Trade Vocational and Technical College, Wenzhou, China. Teaching C/C++ Programming.

• July 2018 – Jan 2020: Lecturer, Hunan University of Arts and Science, Hunan Province, China. In partnership with The University of the Fraser Valley, Canada.

• Sept 2012 – Dec 2017: PhD Researcher, Sheffield Hallam University, United Kingdom. Offered SQL programming tutorials to database students.

• Feb 2008 – Oct 2008: Supply Teacher (High School Sciences, Math, ICT), NEAT Education, United Kingdom.

• Oct 2007 – Oct 2008: Private Tutor of Maths, Physics and Chemistry, United Kingdom.

• Dec 2004 – Jun 2007: Lecturer, Edo State Polytechnic.

• Aug 2003 – Sept 2004: Lecturer, Imo State Polytechnic.

• Oct 2002 – Sept 2003: Lecturer, Benson Idahosa University.

Editorial Board / Reviewer Board / Technical Program Committee Membership

• Session Chair: 3rd International Conference on Intelligent Computing and Next Generation Networks, November 23–25, 2024, Bangkok, Thailand. IEEE. https://icngn.org/2024/index.html

• Reviewer: Journal of Social and Educational Research (JSER). https://www.journalser.com/jser

• Session Chair: 2nd International Conference on Intelligent Computing and Next Generation Networks, November 17–18, 2023, Hangzhou, China. IEEE. https://www.icngn.org/

• Lead Guest Editor: Applied and Computational Mathematics, Special Issue on Multiagent Systems with Emerging and Future Applications. https://sciencepg.com/specialissue/specialissueinfo?specialissueid=147025&journalid=147

• Reviewer: Agh Computer Science Journal. https://journals.agh.edu.pl/csci

• TPC: EUSPN 2023, The 14th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN). https://cs-conferences.acadiau.ca/euspn-23/program-committees.html

• Reviewer: IAES International Journal of Robotics and Automation (IJRA), 2021.

• Reviewer: International Journal of Advances in Applied Sciences (IJAAS), 2021.

• Reviewer: Bulletin of Electrical Engineering and Informatics (BEEI), 2021.

• Session Chair: AICDS, Wenzhou-Kean University, 19–20 Dec. 2020, China.

• International Conference on Smart Education and Applied Social Sciences (SEAS 2020). http://seas-conference.org/index.php/features/committee

• Reviewer: International Journal of Computing and Digital Systems (IJCDS), 2017, 2018, 2019.

• Chair: Computational Intelligence for Societal Devt. for Developing Countries (CISDIDC 2017).

• Reviewer: Bulletin of the World Health Organization, 2017. https://www.who.int/bulletin/volumes/96/1/reviewers0118.pdf?ua=1

• Reviewer: 3rd International Conference on Artificial Intelligence and Fuzzy Logic Systems (AIFZ 2017).

• Reviewer: Int. Conf. Advances Computing, Communication and Informatics. http://icacci-conference.org/web/tpc

• Reviewer: The Second Int. Symposium on Web of Things and Big Data (WoTBD 2016).

• Session Chair: Sys. Info. Modelling and Simulation (SIMS 2014). http://uksim.info/sims2014/sims2014.htm

• Reviewer: World Symposium Computing and Research (WSCAR 2014).

Dr. Ken Ehimwenma, Department of Computer Science. Ph.D. Computer Science; M.A. Information Communication Technology & Education; B.Sc.Ed.(Hon) Computer Science; N.C.E. Physics & Chemistry. Dr. Ehimwenma completed his Ph.D. at Sheffield Hallam University, United Kingdom, in 2017, with specialization in multi-agent systems, knowledge representation and reasoning, and computational logic. This combined area of research he has extensively used in the development of pre-assessment theory of students’ prior learning and the recommendation of learning materials for students in a “skills classification” paradigm. Dr Ehimwenma has a number of publications in many refereed journals and conference proceedings, and he is a member of several Program Technical Committees and a peer reviewer for many conference events. Dr Ehimwenma lives with his family in England and works at Kean University (Wenzhou Campus). Dr Ehimwenma likes indoor exercise, outdoor walking, and listening to classical music. His desire is to become a good player of the piano.

1. AI Agent research.

2. Autonomous agents for smart homes.

3. Multi-agent planning, learning, and negotiation in a problem domain.

4. Knowledge representation, semantic web, and ontology modelling for context- and situation-aware analysis.

5. Supervised learning to support and improve students' learning.

6. Deep neural nets for IED recognition and classification for public safety.

7. Tree-based learning, explainable and rule-based AI (artificial intelligence).

8. Recommendation systems, classification learning, and prediction.

9. Multi-agent systems application in the Internet of Things (IoT).

Discrete Structures Java, C#, C/C++

Object-Oriented Software Engineering

Information Systems Security

Database/SQL Programming

Data Structures and Algorithms

Introduction to Unix/Linux

Principles of Networking

Senior Capstone Thesis (UG)

Data Mining (PG)

Journal publication:

1. Abdalla, H. B., Kumar, Y., Li, J. J., Kruger, D., & Ehimwenma, K. (2026). Beyond Realism: A Utility-Fidelity-Privacy Framework for Trustworthy Synthetic Data. Journal of Data and Information Science, (0). https://www.degruyterbrill.com/document/doi/10.1515/jdis-2026-0038/html

2. Kennedy E. Ehimwenma; Hongyu Zhou, Junfeng Wang, and Ze Zheng (2025). An Extended Symbolic-Arithmetic Model for Teaching Double-Black Removal with Rotation in Red-Black Trees. International J. of Mathematical Science and Computing (IJMSC). Vol. 1, 1-30. DOI: 10.5815/ijmsc.2025.01.01, MECS. https://arxiv.org/abs/2504.03259

3. Al-Qasmi, A., Al Shuaily, H., Ehimwenma, K.E., Al Sharji, S. (2023). Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service? In: Pereira, T., Impagliazzo, J., Santos, H. (eds) Internet of Everything. IoECon 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 458. Springer, Cham. https://doi.org/10.1007/978-3-031-25222-8_8

4. Ehimwenma, K. E., Wang, J., Zheng, Z., & Zhou, H. (Dec.2022). A symbolic-arithmetic for teaching double-black node removal in red-black trees. Educational Dimension, Vol. 59, pp. 112-129. https://doi.org/10.31812/educdim.7629, ACNS.

5. Ehimwenma, K. E; Al Sharji, S. and Raheem, M. (Sept 2022). Difference of Probability and Information Entropy for Skills Classification and Prediction in Student Learning. International Journal of Artificial Intelligence and Applications (IJAIA), Vol. 13(5), pp. 1-19. DOI: https://doi.org/10.5121/ijaia.2022.13501. AIRCC.

6. Ehimwenma, K.E., Krishnamoorthy, S., Liu, Z. et al(2021). Optimal recycle price game theory model for second-hand mobile phone recycling. Environmental Science Pollution Research, 29, 19991–20006. https://doi.org/10.1007/s11356-021-17061-w . Springer Nature.

7. Ehimwenma, K. E., Crowther, P., Beer, M. & Al-Sharji, S. (2020). An SQL Domain Ontology Learning for Analyzing Hierarchies of Structures in Pre-Learning Assessment Agents. DOI: 10.1007/s42979-020-00338-1. Springer Nature Computer Science (SNCS), Vol. 1, Issue 6. Springer Nature Journals.

8. Ehimwenma, K. E. & Krishnamoorthy, S. (2020). Design and Analysis of a Multi-Agent E-Learning System Using Prometheus Design Tool. IEAS International Journal of Artificial Intelligence (IJ-AI), vol. 9(4), pp. 31-45. DOI: http://doi.org/10.11591/ijai.v9.i4.pp%25p IAES.

9. Ehimwenma, K. E., Crowther, P., & Beer, M. (Sept 2018). Formalizing Logic Based Rules for Skills Classification and Recommendation of Learning Materials. International Journal of Information Technology and Computer Science (IJITCS), vol. 10, Issue 9, pp.1-12.

10. Ehimwenma, Kennedy E., Crowther, Paul and Beer, Martin (Mar 2016). A system of serial computation for classified rules prediction in non-regular ontology trees. International journal of artificial intelligence and applications (IJAIA), vol. 7 (2), AIRCC, pp. 23-35.

11. Ehimwenma, Kennedy E., Beer, Martin and Crowther, Paul (2016). Computational estimate visualisation and evaluation of agent classified rules learning system. International journal of emerging technologies in learning (iJET), vol. 11 (1), pp. 38-47.

Conference publication:

1. Kennedy E. Ehimwenma, Zitong Zhang, Yaotian Ye and Xinlei Guan. Reinforcement Learning Agent in Student Learning Path Decision-Making in Sub-Optimal Goals, presented at the 3rd International Conference on Intelligent Technology for Educational Applications (ITEA 2026), 5 -17 May 2026, Hong Kong. EI index (In print)

2. Zhouting Yang, Kennedy E. Ehimwenma, Guiming Yang. An IoT-Based Smart Agricultural Monitoring System Design for Greenhouse Farm. Proceedings of the 1st International Symposium on Intelligent Technologies for Smart Agriculture (ITSA 2025), Sept 19–21, 2025. Kuala Lumpur, Malaysia. Springer Nature. EI index (In print)

3. Lin Jinle, Kennedy E. Ehimwenma, Belal Abuhaija. A Multiagent Hardware Communication in IoT-Based Network for Home Appliances Control. Int. conf. on Optical and Terahertz Communications and Future Networks (OTCN 2025), Sept 26-28, 2025. Tokyo Japan. https://ieeexplore.ieee.org/abstract/document/11413768

4. K. E. Ehimwenma, H. Ji, L. Jinle, S. A. Sharji, M. Cheraghy and Y. Bowen, "Simulating Home Appliance Behavior and Operational Condition-Action Rules for Autonomous Intelligence," 2024 International Conference on Intelligent Computing and Next Generation Networks (ICNGN), Bangkok, Thailand, 2024, pp. 01-06, doi: 10.1109/ICNGN63705.2024.10871679. (Best Paper Award).

5. Cheraghy, M., Soltanpour, M., Abuhaija, B., Abdalla, H.B., & Ehimwenma, K.E. (2024). Game-Theoretic-Based Resource Allocation Algorithm for SCMA Max-Min Problem to Maximize Fairness. 2024 IEEE 7th International Conference on Electronics and Communication Engineering (ICECE), 1-5.

6. K. E. Ehimwenma, L. Jinle and H. Ji, "Embedded Multi-Agent Systems Functionality for Home Energy Optimization in IoT Devices," 2023 International Conference on Intelligent Computing and Next Generation Networks（ICNGN), Hangzhou, China, 2023, pp. 1-6, doi: 10.1109/ICNGN59831.2023.10396805.. https://ieeexplore.ieee.org/document/10396805 (Best Paper Award). EI index.

7. Ehimwenma, K. E, Krishnamoorthy, S., & Al-Sharji (2021). Abstract: Applied Complement of Probability and Information Entropy for Prediction in Student Learning. World Academy of Science, Engineering & Technology (WASET); International J. Computer and Information Engineering. Vol. 15, No. 3. https://publications.waset.org/abstracts/search?q=Kennedy%20Efosa%20Ehimwenma

8. Ehimwenma, K. E., Crowther, P., Lyuba, A.; Beer, M. & Offor, K.J. (June 2018). An Agent Based System Approach for Improvised Explosive Device Detection, Public Alertness and Safety”. Proceedings of the 2018 IEEE Workshop on Environmental, Energy and Structural Monitoring Systems (ESMS 2018), Salerno Italy; IEEE Pp. 89-94. https://ieeexplore.ieee.org/document/8405821 DOI: 10.1109/EESMS.2018.8405821

9. Ehimwenma, K. E., Beer, M., & Crowther, P. (2015). Student Modelling and Classification Rules Learning for Educational Resource Prediction in a Multiagent System. 2015 7th Computer Science and Electronic Engineering Conference (CEEC 2015), Colchester United Kingdom, IEEE pp. 59-64.

10. Ehimwenma, K. E., Beer, M., & Crowther, P. (2015a). Adaptive Multiagent System for Learning Gap Identification Through Semantic Communication and Classified Rules Learning. 7th International Conference on Computer Supported Education (CSEDU), Lisbon Portugal. SCITEPRESS, pp. 33-38. https://www.scitepress.org/papers/2015/55326/55326.pdf

11. Ehimwenma, K. E.; Beer, M. & Crowther, P. (2014). Pre-assessment and Learning Recommendation Mechanism for a Multi-agent System. The 14th IEEE International Conference on Advanced Learning Technologies (ICALT 2014), Athens Greece, 7th-10th July 2014. IEEE Computer Society, pp. 122-123. doi: 10.1109/ICALT.2014.43

12. Ehimwenma, K.; Beer, M. & Crowther, P. (2014). Ontology Engineering and Modelling for Learning Activity in a Multiagent System. Proceedings of the 1st International Conference on Systems Informatics, Modelling and Simulation (SIMS 2014), Sheffield, 29th Apr-2nd May 2014. IEEE Computer Society, pp.143-147. https://dl.acm.org/doi/10.5555/2681970.2682435

13. Ehimwenma, K. E.; Martin, B. & Crowther, P. Prometheus: A Method for Multi-Agent Based Pre-assessment System Design. Presented at the Sheffield Hallam University Method Conference, Sheffield; 28th April 2015. [Unpublished].

14. Ehimwenma, E. K. & Usiobaifo, A. R. (Dec 2007). The Fundamentals of Learning Theories and the Contemporary Classroom Implication on Computer Technology. Knowledge Review: A Multidisciplinary Journal. National Association for the Advancement of Knowledge (NAFAK), vol.15(1), pp. 153-158.

15. Ehimwenma, E. K. & Osaghae, V. (2007). National Economic Empowerment and Development Strategy (NEEDS): Youth Empowerment with Information and Communications Technology (ICT). Knowledge Review: A Multidisciplinary Journal. National Association for the Advancement of Knowledge (NAFAK), vol.15(7), pp. 100-104.

1. Ehimwenma, K. E. (2012). The Use, Learning and Designing of Tools for Children Programming: A Call for Programming Language Education in Primary Schools. Lambert Academic Publishing, Saarbrucken, Germany. [Published from MA dissertation.]

2. Ehimwenma, E. K. (2007). A Simple Guide to BASIC Programming. Benin City, Dimaf Graphics Print.

3. Ehimwenma, E. K. & Agbator, O. L. (2006). Data Processing and the Fundamentals of Computing. Benin City, Dimaf Graphics Print.