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RAHEEM ADELEKE
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RAHEEM AJIBOYE ADELEKE

LECTURER

Ajiboye Adeleke Raheem, PhD, is a Senior Lecturer and Research Coordinator (Computer Science) at the School of Mathematics and Computing, specifically in the Department of Computer Science at Kampala International University. He is particularly devoted to teaching and Research. He is currently on a foreign mission scheme through the Technical Aid Corps of Federal Government of Nigeria.

He holds a PhD in Computer Science from University Malaysia Pahang, and Master and Bachelor in Computer Science coupled with a Master in Business Administration, all from the University of Ilorin, Nigeria. Aside his education, he has rich experience in Academia as he was also in charge of Learning and Research and was a System Analyst at the University of Ilorin, Nigeria.

Additionally, his areas of specialization are Data Mining and Computational Intelligence and his research interests include Data Mining, Machine Learning & Software Engineering.

Ajiboye has published various articles and papers in both international and national journals, which include but are not limited to the International Journal of Applied Business and Information Systems, the Journal of Information Security, Privacy and Digital Forensic, the Journal of Computer Science and Information Technology, and the International Journal of Information Processing and Communication. He prides himself in the supervision of theses and dissertations of over six Masterc�?��?cs students.

With all his strong foundation and vast experience in the field of Computer Science, he is dutifully making positive impacts in research in his field and mentoring both students and colleagues towards a better future and creating sustainable solutions for a better, Uganda, Africa and the world at large here at KIU where we continue to explore the heights!



  • 1. Peter, Ruth Eze; Ajiboye, Adeleke Raheem and Kareyo Margaret (2019). Modelling of Key Performance Indicators for Staff Advancement in Higher Institutions of Learning. c�?��?? A Fuzzy Logic Approach; Afr. J. MIS, Vol. 1, Issue 3, pp 76-90.

  • Ajiboye, A.R., Mabayoje, M.A., & Adewole, K.S. (2018). Comparative Analysis of Predictive Models Created Based on Multi-layered Neural Networks Architecture;. International Journal for the Application of Wireless and Mobile Computing. Publisher: Dept. of Computer Science, LAUTECH Ogbomoso, Nigeria.

  • Ajiboye, Adeleke R., Bakare Maroofat, Usman-Hamza Fatima, & Sulyman Shakirat (2018). The Impact of Social Network Sites on Knowledge and Information Sharing to Students in the Open Distance Learning Scheme. International Journal of Applied Business and Information Systems; 2(1); 1-10. Published by Association for Scientific Computing & Electronic Engineering (ASCEE), Indonesia.

  • Adewole K.S., Isiaka R.M., Jimoh R.G. and Ajiboye A.R. (2017). TSDL: A Framework for Tip Spam Detection in Location Based Social Network. Journal of Information Security, Privacy and Digital Forensic, 1(1)Published by Federal University of Agriculture, Abeokuta.

  • A.R. Ajiboye, O.V. Mejabi, and S.A. Salihu (2017). Using T-Way Interaction Techniques for the Reduction in the Number of Test Cases,. Ilorin Journal of Computer Science and Information Technology, 2(1); 1 - 17.Published by Department of Computer Science, University of Ilorin.

  • Ajiboye, A. R, Ajiboye, I. K., Salihu, S. A. and Tomori, R.A. (2017). Investigating the Effect of Data Normalization on Prediction Models,. International Journal of Information Processing and Communication, 5(1&2); 199-212.Published by Faculty of Comm. & Information Sciences, University of Ilorin.

  • A. R. Ajiboye , K. S. Adewole, R. S. Babatunde and I. D. Oladipo (2016). A Novel Approach to Outliers Removal in a Noisy Numeric Dataset for Efficient Mining;. Ilorin Journal of Computer Science and Information Technology, 1(1); 39-53,Published by Department of Computer Science, University of Ilorin.

  • J. Abdul-Hadi, A.R. Ajiboye and A. Abba (2016). An Improved Technique for the Removal and Replacement of the Inconsistencies in Numeric Dataset;. African Journal of Computing & ICTs, 8(2); 39-44.Published by IEEE, Nigeria Chapter.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah, Hongwu Qin & Jamila Abdulhadi (2016). Comparing the Performance of Predictive Models Constructed Using the Techniques of Feed-forward and Generalized Regression Neural Networks;. International Journal of Software Engineering & Computer Science, Vol. 2; 66 c�?��?? 73,Published by University Malaysia Pahang.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • A.R. Ajiboye, R. Abdullah-Arshah, H. Qin & H. Isah-Kebbe (2015). Evaluating The Effect of Dataset Size on Predictive Model Using Supervised Learning Technique; International Journal of Software Engineering & Computer Sciences, Vol. 1; 75-84. Published by University Malaysia Pahang.

  • A.R. Ajiboye, A.G. Akintola, A.O. Ameen, J. Abdul-Hadi (2015). Anomaly Detection in Dataset for Improved Model Accuracy Using DBSCAN Clustering Algorithm. African Journal of Computing & ICT, 8(1); 39-46, Published by IEEE, Nigeria Chapter.

  • Adewole K.S., Jimoh R.G., Abikoye O.C. and Ajiboye A.R. (2015). Stepwise Biometric Procedures for Managing Students Attendance in Higher Institutions of Learning. Journal of Computer Science and its Applications, 22(1); 77-86, Published by Nigeria Computer Society (NCS).

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah, Hongwu Qin (2015). Using An Enhanced Feed-forward BP Network for Predictive Model Building from Studentsc�?��?c Data. Intelligent Automation & Soft-Computing, 22 (2); 169-175. Published by Taylor & Francis Group, UK.

  • 14. Adeleke Raheem Ajiboye, Ruzaini Abdullah-Arshah and Hongwu Qin (2015). A Novel Approach to Efficient Exploration and Mining of Studentsc�?��?c Data. Journal of Theoretical and Applied Information Technology, Vol. 79 Issue 1, p176-184.

  • K.S. Adewole, A.G. Akintola, A.R. Ajiboye & S.O. Abdulsalam (2014). Frequent Pattern and Association Rule Mining from Inventory Database Using Apriori Algorithm. African Journal of Computing & ICT, 7(3); 31-42, Published by IEEE, Nigeria Chapter.

  • Ajiboye Adeleke R., Isah-Kebbe and Oladele Tinuke O. (2014). Cluster Analysis of Data Points Using Partitioning and Probabilistic Model-Based Algorithms. International Journal of Applied Information Systems (IJAIS), Vol. 7 (7). Publisher: Foundation of Computer Science (FCS), USA.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Jimoh, R. G. Ajiboye, A. R., Adewole, K. S., and Ajao, J. F. (2013). Web-based Information Sharing Portal for Effective University Learning and Administration. International Journal of Engineering and Management Sciences, 4(2), 266-271. Publisher: Society for Science and Nature (SFSN).

  • Adeleke Raheem Ajiboye, Ruzaini Abdullah Arshah and Hongwu Qin (2013). Risk Status Prediction and Modelling of Studentsc�?��?c Academic Achievement - A fuzzy logic approach. Research Inventy: International Journal of Engineering and Science, Vol.3, Issue 11.

  • Adewole Kayode S., Ajiboye Adeleke R., Isiaka Rafiu M, Babatunde Ronke S.A (2012). Fuzzy Logic Approach for Evaluation of Government Performance In ICT Projects Implementation. Journal of Emerging Trends in Computing and Information Sciences, VOL. 3, NO.11 Nov, 2012.



SN TITLE YEAR TYPE

  1. Academia.edu:Independent.academia.edu/AdelekeRaheemAjiboye
  2. Google Scholar:https://scholar.google.com/citations?hl=en&user=im7gPe4AAAAJ
  3. Mendeley:https://www.mendeley.com/profiles/adeleke-raheem-ajiboye/
  4. ORCID iD:https://orcid.org/0000-0002-0300-3747
  5. ResearchGate:https://www.researchgate.net/profile/Ajiboye_Abdulraheem

Department of Computer Science
kampala International University
P.O.Box 20000
Kampala - Uganda.

Email: ajibraheem@kiu.ac.ug

Call: 2348066801679

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