TITLE (PROF/DR/): DR.

NAME: IKUVWERHA LUCKY O.

POSITION: LECTURER II                                         

SPECIALISATION: Data Mining , Machine learning and Knowledge Discovery Process

EDUCATION/TRAINING (Begin with Bachelor’s degree or other initial professional education, such as nursing, include postdoctoral training and residency training if applicable. Add/delete rows as necessary.)

1. Personal Statement

As a researcher and Data Science enthusiast, I am deeply passionate about harnessing the power of machine learning, data mining, and knowledge discovery to drive intelligent, sustainable solutions for global challenges. My work focuses on developing interpretable AI models, scalable data-driven systems, and automated knowledge extraction techniques that transform raw data into actionable insights. With a strong commitment to ethical AI, responsible innovation, and computational sustainability, I strive to bridge cutting-edge research with real-world applications—empowering businesses, policymakers, and local communities through data-driven decision-making. My expertise spans predictive modeling, Natural Language Processing(NLP), and large-scale data analytics, with a keen interest in applying these tools to domains such as healthcare, agriculture, climate resilience, and smart cities.

1. Positions, Scientific Appointments, and Honours

• University of Lagos Administrator to Huawei International. 2018 – Present
• Member, Nigeria Computer Society (NCS)
• Member, Computer Professional Registration Council of Nigeria(CPN)
• IBM Certified Expert in Artificial Intelligence (AI)

1. Selected Most Recent Publications /Contributions to Knowledge

1. Ikuvwerha L.O., Ogunfeyimi O., Olubukola Olugasa & Olalekan Moyosore Lalude, (2025) Data Sovereignty and the Three Digital Kingdom: Navigating Power, Policy, and Privacy in a Fragmented world. Carnelian Journal of Law and Politics. Vol. 5 No. 2.
2. Ikuvwerha, L.O, Odumuyiwa, V.T, Ogunbiyi, T.D, & Ogunfeyimi O. (2024). A Robust Semantic Web Framework for Actionable Knowledge Discovery. International Journal of Computer Science and Applications (JCSA). An International Journal of the Nigeria Computer Society(NCS). Vol. 31, No. 2.
3. Ebitch F.N., Odumuyiwa, V.T, Ikuvwerha, L.O. (2024). Comparative Analysis of Machine Learning Techniques for Churn prediction. International Journal of Computer Science and Applications (JCSA). An International Journal of the Nigeria Computer Society(NCS). Vol. 31, No. 2.
4. Marian O. Egunjobi, Olubukola Olugasa, Ikuvwerha Lucky, Olalekan Moyosore Lalude, (2024) Whiher Central Bank Digital Currency(CBDCs) in Nigeria. Carnelian Journal of Law and Politics. Vol. 5 No.1, pp 189 – 197
5. Ikuvwerha Lucky,Taiwo Amoo , Victor Odumuyiwa, (2018) Enhancing Business Decision Making through Actionable Knowledge Discovery using Hybridized MCDM Model. e-Infrastructure and e-Services for Developing Countries 9th International Conference, AFRICOMM Springer.

D.        Collaborators/ Networks (International inclusive)