Picture of Balogun Jeremiah Ademola

Balogun Jeremiah Ademola Mr, Department of Computer Science & Mathematics

Area(s) of Specialization/Research Interests

Artificial Intelligence, Machine Learning, Data Science, Database Design and Implementation, Fuzzy Logic Modeling and Geographical Information Systems

Profile

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.

Academic Credentials

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

Professional Association

NA

Publications

1 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
2 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
3 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
4 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.
5 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
6 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
7 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.
8 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
9 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
10 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
11 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
12 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
13 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)
14 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
15 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
16 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
17 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
18 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
19 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
20 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
21 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
22 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
23 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
24 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
25 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
26 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
27 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
28 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
29 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
30 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
31 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
32 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