Profile of Uzo Blessing Chimezie

Uzo Blessing Chimezie is a Lecturer in the Department of Computer Science at the University of Nigeria, Nsukka. She is passionate about advancing the field of computer science through innovative research, exceptional teaching, and mentoring. With a strong educational foundation, having earned both her Bachelor of Science and Master of Science in Computer Science from the University of Nigeria, Nsukka, Uzo possesses a deep understanding of the complexities and opportunities within the field. Uzo is a member of the High-Performance & Intelligence Computing (HiPIC) Lab at the University of Nigeria, Nsukka where she participates in a rich exchange of ideas, expertise, and resource with fellow researchers. The collaborative research environment empowers her to push the boundaries of what is possible, explore new applications, and develop innovative solutions that address real-world challenges. Additionally, it provides a dynamic environment for knowledge sharing and interdisciplinary exploration. Her research explores the vast potentials of Artificial Intelligence.

Email – blessing.uzo@unn.edu.ng

Linkedln – Blessing Uzo

Research Interest: 

Machine Learning, Computer Vision, Natural Language Processing & Optimization.

Selected Publications:

[1.] Ezugwu O.A, Uzo I. U, Ezeorah Nnamdi, Uzo Blessing, Nzeh Royransom, Ndukwe C. S, “Two Way Crossed Classification of Social Media Usage Time and Study Time as Factors Affecting the Academic Performance of Nigeria Students”, International Journal of Latest Technology in Engineering, Management & Applied Science- IJLTEMAS, vol.12 (10), Oct 2023, pp. 136-147. 

[2.] Blessing C. Uzo and Collins N. Udanor, “Towards an efficient machine learning algorithm for a graduate study elective course recommender system”, The International Journal of Engineering and Science (IJES). 10(6), 2021, pp.12-20. 

[3.] Royransom Nzeh, Nnamadi J.E, Uzo Izuchukwu, Uzo B. C, “Optimization Of An Online Store Price Recommendation System Using Hybrid”, International Journal of Progressive Sciences and Technologies (IJPSAT). 27(2), 2021, pp. 431-440.

[4.] Ugwu, N.V., Uzo, B.C., Okafor, L.I., Ugwuanyi, P.N., Anigbogu, K.S., Cassia, A.C., Onyemechara, I.C.,  Nelson, O.M., Nzeh, R.C,  “Optimization of a Remote Lab and E-Learning Platform”, International Journal of Progressive Sciences and Technologies, Vol. 26 No. 2 May 2021, pp.67-71.

[5.] Obayi, A.A, Olayiwola A.A, Famuyiwa, K.S.A, Olayiwola, D.S, Ikedilo, O.E, Kingsley, C.U, Uzo, B.C, Onyedeke, E.C, “Android Mobile Note-Taking Optimization using Hybrid Techniques”, International Journal of Trend in Scientific Research and Development (IJTSRD), Vol. 5 (5), August 2021, pp. 2135-2140.