Balogun Jeremiah is an assistant lecturer at the department of computer science and mathematics in the college of basic and applied mathematics. Mr. Jeremiah holds a BSc in Computer Science with Mathematics and MSc in Computer Science both from Obafemi Awolowo University, Ile-Ife, Nigeria. Mr. Jeremiah research areas includes: Artificial Intelligence (AI), Machine Learning, Data Science, Health Informatics, Geographical Information Systems, Database Design and Implementation, Natural Language Processing and Automata Theory. Mr. Jeremiah has published 5 contribution to book chapters, over 30 articles in both local and international journals and presented in conferences. Mr. Jeremiah enjoys reading and teaching.

B.Sc. (Computer Science with Mathematics) - Ife - 2013 M.Sc. (Computer Science) - Ife - 2016

NA

1	P.A. Idowu, J.A. Balogun, I.O. Akinyemi and N.C. Egejuru (2019): A Classification Model for the CD4 Count of HIV Patients using Decision Trees Algorithms. Advanced Computational and Applied Engineering Research. Edited by Sandip, A. Kale Nova Publisher. Chapter 5. ISBN: 978-1-53614-844-2
2	H.O.J. Akinade, J.A. Balogun and P.A. Idowu (2022): A Mathematical Model for the Adoption of Information and Communication Technology in School Libraries in Nigeria. Library, Philosophy and Practice: 1-23
3	F.A. Oladeji, J.A. Balogun, T. Aderounmu, T.O. Omodunbi and P.A. Idowu (2022): Prognostic Model for the Risk of Coronavirus Disease (COVID-19) using Fuzzy Logic Modeling. Journal of Information Technology Research 15(1): 1 – 14	See DOI
4	F.A. Kasali, J.A. Balogun, O.D. Adekola and I.O. Akinyemi (2021): Design and Evaluation of a User Centered Course-Based Timetable Scheduling System. Mountain Top University Journal of Science and Technology (MUJAST) 1(1): 127 – 146
5	J.A. Balogun, F.A. Kasali, O.D. Adekola, P.A. Idowu and I.O. Akinyemi (2021): Classification Model for the Survival of Patients with Hepatitis C Disease using Decision Trees Algorithm. Mountain Top University Journal of Science and Technology (MUJAST) 1(1): 79 – 98.
6	F.A. Kasali, O. Adekola, I. Akinyemi, I. Ebo and J. Balogun (2020). A Model for Ranking the Usability Attributes of Mobile Health Applications in Nigeria (MCDM Approach). Covenant Journal of Informatics and Communication Technology (CJICT) 8(2): 1 – 27
7	F.A. Kasali, J.A. Balogun, I.O. Ebo and I.O. Akinyemi (2020): Ranking the Factors affecting ICT Usage among Youth-led Agribusiness (Analytic Hierarchy Process Approach). Mountain Top University Journal of Entrepreneurship and Sustainable Development 2(2), 14-30
8	F. Oladeji, J. Balogun, A. Oluwaranti, F. Ajayi and P. Idowu (2020). Development of a Classification Model for the Assessment of Maize Plant Yield in Nigeria. Journal of Scientific Research and Development (JSRD) 19(2): 332 – 340.
9	J.A. Balogun, F.A. Oladeji, O.B. Olajide, A.O. Asinobi, O.O. Olusanya and P.A. Idowu (2020). Fuzzy Logic-Based Predictive Model for the Risk of Sexually Transmitted Diseases (STD) in Nigeria. International Journal of Big Data and Analytics in Healthcare (IJBDAH) 5(2):1 – 10	See DOI
10	T. Oyegoke, A. Amoo, J. Balogun, T. Alo and P. Idowu (2019): A Predictive Model for the Risk of Infertility in Men using Fuzzy Logic. International Journal of Computers 4: 27 – 37
11	P.A. Idowu, J.A. Balogun, O. Sarumi, N.C. Egejuru and R.C. Oladejo (2019): An Infusion Model for the Adoption of Social-Media in Nigerian Tertiary Institution. Computer Reviews Journal 3: 572 – 589
12	P.A. Idowu, N.C. Egejuru, J.A. Balogun and O.A. Sarumi (2019): Comparative Analysis of Prognostic Model for Risk Classification of Neonatal Jaundice using Machine Learning Algorithms. Computer Reviews Journal 3: 518 – 542
13	F.A. Oladeji, P.A. Idowu, N. Egejuru, S.G. Faluyi and J.A. Balogun (2019): Model for Predicting the Risk of Kidney Stones using Data Mining Techniques. International Journal of Computer Applications 182(38): 36 – 56	See DOI
14	P.A. Idowu and J.A. Balogun (2019): Fuzzy Logic Based Predictive Model for the Risk of Type 2 Diabetes Mellitus. International Journal of E-Health and Medical Communications (IJEHMC) 10(3)	See DOI
15	J.A. Balogun, N.C. Egejuru and P.A. Idowu (2018): Comparative Analysis of Predictive Models for the Likelihood of Infertility in Women using Supervised Machine Learning Techniques. Computer Reviews Journal 2: 313 – 330
16	J.A. Balogun, T. Aderounmu, N.C. Egejuru and P.A. Idowu (2018): An Ensemble Model of Machine Learning Algorithms for the Severity of Sickle Cell Disease (SCD) among Paediatrics. Computer Reviews Journal 2: 331 – 346
17	P.D. Mhambe, N.C. Egejuru, J.A. Balogun, O.S. Olusanya and P.A. Idowu (2018): A Predictive Model for the Risk of Mental Illness in Nigeria Using Data Mining. Science Research 6(1): 5 – 16	See DOI
18	N.C. Egejuru, P.D. Mhambe, J.A. Balogun, F.O. Asahiah and P.A. Idowu (2017). Model for Prediction of Cataracts using Supervised Machine Learning Algorithms. Computing, Information Systems, Development Informatics & Allied Research Journal (CISDI) 8(3): 47-62
19	P.A. Idowu, J.A. Balogun, O. Komolafe and N.C. Egejuru (2017). Information and Communication Technology Infusion Model for Microfinance Bank in Nigeria. International Journal of Finance and Banking Research, 3(4): 57-69	See DOI
20	P.A. Idowu, Balogun, J.A., Akinade, H.O.J. and Egejuru, C.D. (2017): Mathematical Model for Information Technology Infusion for Healthcare Sector in Nigeria. International Journal of Computer in Clinical Practice (IJCCP) 2(2): 1-19	See DOI
21	N.C. Egejuru, P.D. Mhambe, J.A. Balogun, F. Komolafe and P.A. Idowu (2017): Osteoporosis Risk Predictive Model using Supervised Machine Learning Algorithms. Science Research 5(6): 78 – 87	See DOI
22	P.A. Idowu, F.O. Asahiah, J.A. Balogun and O.S. Olusanya (2017): An Online Neonatal Intensive Care Unit Monitoring System for Hospitals in Nigeria. International Journal of Biomedical and Clinical Engineering, 6(1): 1 – 13	See DOI
23	P.A. Idowu, T.A. Aladekomo, O.A. Agbelusi, O.B. Alaba and J.A. Balogun (2017): Survival Model of Pediatric HIV/AIDS Patients using C4.5 Decision Trees Algorithm. International Journal of Child Health and Human Development, 10(2): 143 – 155
24	P.A. Idowu, T.A. Aladekomo, O.A. Agbelusi, O.B. Alaba and J.A. Balogun (2017): Prediction of Pediatric HIV/AIDS Survival in Nigeria using Naïve Bayes’ Approach. International Journal of Child Health and Human Development, 10(2): 131 – 142
25	P.A. Idowu, M.O. Oyetunji, F.A. Oladeji and J.A. Balogun (2017): Web-Based Surveillance System for Periodontal Disease. Journal of Software Engineering, 5(2): 26 – 37	See DOI
26	Egejuru, N.C., Mhambe, P.D., Balogun, J.A., Asahiah, F.O. & Idowu, P.A. (2017). Information Technology Infusion Model for Agricultural Sector in Nigeria. Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology, 8(3): 59-78
27	P.A. Idowu, M.O. Oyetunji, F.A. Oladeji and J.A. Balogun (2017): An ICT Infusion Model for Nigerian Transport Sector. Computing, Information Systems, Development Informatics and Allied Research Journal, 8(1): 103 – 120
28	F.A. Oladeji, P.A. Idowu and J.A. Balogun (2017): A Web-Based Spatial Distribution of Malaria in Nigeria. Computing, Information Systems, Development Informatics and Allied Research Journal, 8(1): 7 – 18
29	J.A. Balogun, P.A. Idowu and O.T. Babawale (2016): A Predictive Model for the Risk of Infertility in Women using Machine Learning Algorithms – A Comparative Analysis. Ife Journal of Information Communications Technology, 1(1): 24 – 33
30	P.A. Idowu, O.A. Sarumi and J.A. Balogun (2016): Development of a Web-Based Cardiovascular Disease Risk Monitoring System. Ife Journal of Information Communications Technology, 1(1): 4 – 16
31	P.A. Idowu, O.A. Sarumi, J.A. Balogun and O. Ogunlade (2015): Development of a Fuzzy Logic-Based Model for Monitoring Cardiovascular Risk. International Journal of Healthcare Information Systems and Informatics, 10(4); 36 – 53	See DOI
32	P.A. Idowu, K.O. Williams, J.A. Balogun, A.I. Oluwaranti (2015): Breast Cancer Risk Prediction using Data Mining Classification Techniques. Transactions on Networks and Communications, 3(2); 1 – 11	See DOI
33	P.A. Idowu, T.A. Aladekomo, K.O. Williams and J.A. Balogun (2015): Predictive Model for Likelihood of Survival of Sickle-Cell Anaemia (SCA) among Peadiatric Patients using Fuzzy Logic. Transactions on Networks and Communications, 3(1); 31 – 44	See DOI