Chief Consultant - Artificial Intelligence and Data Science

Paulinus O.Ugwoke

Paulinus O.Ugwoke is the Chief Consultant for Artificial Intelligence and Data Science at AnuBrain Technology. Besides, he is also Group Head of Research, Innovation, and Consultancy, at Digital Bridge Institute (DBI), Abuja, Nigeria. He is a seasoned computer scientist and statistician with over 18 years of industrial work experience in the Information & Communications Technology (ICT) area. His research interests cut across knowledge discovery in large databases, artificial intelligence & machine learning, modeling & simulation, probability & inferential statistics, Internet of Things (IoTs), big data, blockchain technologies as well as algorithmic designs.

Professional Skills

Planning 80%
Consulting 95%
Management 89%
Development 90%

Experience & Activities

He is a Fellow of the Royal Statistical Society (FRSS), UK. He is also a member of the Institute of Electrical & Electronics Engineering (IEEE), USA, and a member of the International Association of Engineers (MIAENG), Hong Kong

Published/ Unpublished Published Journal Articles:

1. P.O. Ugwoke, F.S. Bakpo, C.N. Udanor, et al., “A framework for monitoring movements of pandemic disease patients based on GPS         trajectory datasets.” Wireless Networks (2021). https://doi.org/10.1007/s11276-021-02819-4

2. O. Fatoki, H.O. Ilo, and P.O.  Ugwoke  (2017), “Time Series Analysis of Crude Oil Production in Nigeria”, Advances In Multidisciplinary & Scientific Research, Vol.3, No3, September 2017. 

3. H. I. Okagbue, A. A. Opanuga, M. O. Adamu, P. O. Ugwoke, and E.C.M.  Obasi,  G.A.  Eze  (2017),  “Personal name in  Igbo  Culture:  A dataset on randomly selected personal names and their statistical analysis”, Elsvier Inc., Data in Brief 15 (2017) pp (72-80).

4. H. I. Okagbue, A. A. Opanuga, M. O. Adamu, P. E. Oguntunde, P. O. Ugwoke (2016), “Random number datasets generated from statistical analysis of randomly sampled GSM recharge cards”, Elvier Inc., Data in Brief 10(2017) pp (269-276).

5. H. I. Okagbue, M. O. Adamu, S. A. Iyase, S. O. Edeki, A. A. Opanuga, and P. O. Ugwoke (2015), “On the Uniqueness and Non-Commutative Nature of  Coefficients of  Variables and Interactions in  Hierarchical Moderated Multiple Regression of Masked Survey Data”, Mediterranean Journal of Social Sciences, MCSER Publishing, Rome- Italy, Vol 6, No 4 S3, pp (408-417) August 2015. 

6. P. E. Oguntunde, O. A. Odetunmibi, H. I. Okagbue, O. S. Babatunde, and P. O. Ugwoke (2015), “The Kumaraswamy-Power Distribution: A Generalization of the  Power  Distribution”,  International  Journal of Mathematical Analysis, Vol. 9, No. 13(pp. 637-645), 2015.

7. P. O. Ugwoke, H. C. Inyiama, and G. A. M. Ikekeonwu (2014), “Real-Time Human Trajectory Dataset Capture Model (RT-HTDCM) using GPS and   Assisted-GPS   Technologies:   African   Perspective”,   Journal of Information  Engineering and  Applications,  International  Institute of Science, Technology and Education (IISTE), Vol. 4, No. 10 (pp. 55-76), 2014.

8. P. O. Ugwoke and J. O. Ayeni (2011), “Comparative Analysis of Neural Networks and Multiple Linear Regressions in Predicting Construction Cost of Piling Works”, Journal of Engineering Research, University of Lagos, Nigeria, Vol. 16, No. 3 (pp. 47-60), 2011. 

9. P. O. Ugwoke, A. S. Bilesanmi, and O. M. Adamu (2009), “Practical Teaching of Statistics in University of Lagos: A case study of Faculty of Education,  University of  Lagos”,  International  Journal of  Educational Research and Administration, Vol. 6, No. 3 (pp. 42-47), 2009.

10. Conference Papers: 1. H. I. Okagbue, P. E. Oguntunde, A. A. Opanuga, and P. O. Ugwoke, (2018), “Classes of Ordinary Differential Equations Obtained for the Probability Functions of Kumaraswamy Kumaraswamy Distribution”, Proceedings of the International MultiConference of Engineers and Computer Scientists 2018, Vol 1, IMECS 2018, March 14-16, 2018, Hong Kong.

11. 2. H.I. Okagbue, O.O. Agboola, P.O. Ugwoke, and A.A. Opanuga (2017), “Classes of Ordinary Differential Equations Obtained for the Probability Functions of Exponentiated Pareto Distribution”, Proceedings of the World Congress on Engineering and Computer Science (WCECS) 2017, Vol II, October 25-27, 2017, San Francisco, USA.

12. 3. H.I. Okagbue, P. E. Oguntunde, P.O. Ugwoke, and A.A. Opanuga (2017), “Classes of Ordinary Differential Equations Obtained for the Probability Functions of Exponentiated Generalized Exponential Distribution”, Proceedings of the World Congress on Engineering and Computer Science (WCECS) 2017, Vol I, October 25-27, 2017, San Francisco, USA.

13. 4. C. M. Danis, A. L. Ala, J. Christensen, J. Ellis, H. A. Faskari, W. Kellogg, A. Mohammed, and P. O. Ugwoke (2011), “Answers for Nigerian Farmers: A Mobile Phone Service for Nigerian Farmers.” Proceedings of the International Conference on ICT for Africa, Ota Nigeria, Vol.1 (pp.150- 159), March 23rd -26th, 2011