About ALABI, NURUDEEN OLAWALE

Chief Lecturer|BSc., MSc. (Statistics), MBA (Business Administration)

School

SCHOOL OF PURE AND APPLIED SCIENCES

Department

Mathematics And Statistics

Programme

National Diploma & Higher National Diploma

Research Interest

Statistical Modelling and Forecasting, Statistical Process Control, Data Mining and Visualization

Teaching Areas

Industrial Statistics, Medical Statistics, Demography II, Multivariate Analysis and Stochastic Processes, Biometrics, Statistical Management and Its Operations, Biometrics, Elements of Sampling Theory, Biostatistics,Business Statistics I, Business Statistics II,

Selected Publications

Ukonu, Christian U., Makanjuola, John O. & Alabi, Nurudeen O. (2025). Optimization and Quantification of Biogas Yield by Blending Cow Dung with Three Different Potential Substrates under Anaerobic Condition using Proto-Type Chinese Fixed Dome Bioreactor, Iconic Research and Engineering Journals, 8(10), 191 – 198.

Alabi, Nurudeen Olawale & Ojenike, O. T. (2024). Forecasting Solar Radiation for Renewable Energy Sustainability in Nigeria using Panel Dihybrid Recurrent Neural Network, Man, Environment and Society, 5(2), 193-209. DOI:10.47509 /MES. 2024.v05i2.05.

Alabi N. O. & Ojo G. O. (2024). A Dihybrid Recurrent Neural Networks for Solar Radiation Prediction in Nigeria. IJOWITED, 5(2), 62-71.

Alabi N. O. & Ojo G. O. (2024). A Comparative Analysis of Extreme Gradient Boosting and Support Vector Regression for Modeling Benchmark Crude Oil Prices. FEPI-JOPAS, 6(2), 1-11.

Alabi N. O. & Ojo G. O. (2024). Comparing Ridge and LASSO Regression Models: Assessing the Impact of Regularization Parameters and Model Selection on Macroeconomic Forecasting. IJSSYABATECH, 10(1), 89-98.

Alabi N. O. & Okoro N. O. (2024). Enhancing Prediction Accuracy of Bonny-Light Crude Oil Prices using Random Forest Ensemble Techniques. Journal of School of ICT, 9(1), 121-139.

 

Alabi, N. O. (2023). Evaluation of the Predictive Capability of a Time-varying Markov Switching Autoregressive Model. Journal of Applied Financial Econometrics, 4(1), 1-22, DOI: https://DOI:10.47509/JAFE.2023.v04i01.01.

Alabi, N. O. & Bada, O. (2022). An Application of Hamilton Model of Switching with Autoregressive Dynamics on Exchange Rate Movement in Nigeria, IJOWITED, 3(1), 1-11.

Alabi, N. O. & Akanbi, O. O. (2022). Estimating Regression Parameters in the Presence of Extreme Influential Observations: A case of Nigeria Exchange Rate. Journal of Econometrics and Statistics, 2(2), 203-218, DOI: https://doi.org/10.47509/JES.2022.v02i02.04.

Adeboye, N. O. & Alabi, N. O. (2021). Deep-Learning Modelling of Dynamic Panel Data for Economic Growth. Journal of Econometrics and Statistics, 2(1), 47-60, DOI: https://doi.org/10.46791/jes.2022.v02i01.03.

Alabi, N. O. & Bada, O. (2021). Breakpoint unit root tests on select macroeconomic variables in Nigeria. Global Journal of Science Frontier Research: F Mathematics and Decision Sciences, 19(6), 11– 21.

Alaba, K. & Alabi, N. O. (2021). Effects of Socio-Economic Characteristics on Nutritional Status of the Elderly in Ilaro, Ogun State, Nigeria, Further Nutrients, 1(1), 3-13.

Alabi, N. O. & Ogunnusi, O. N. (2021). Modeling Nigeria’s domestic output from select macroeconomic variables using variable coefficient functions. IJOWITED, 2(2), 7-17.

Obafemi, O. S. & Alabi, N. O. (2019). An Alternative Method of Detecting Outlier in Multivariate data using Covariance Matrix. Global Journal of Science Frontier Research: F Mathematics and Decision Sciences, 19(4), 37-48.

Alabi, N. O. & Bada, O. (2019). Investigating the Causality between Unemployment Rate, Major Monetary Policy Indicators and Domestic Output using an Augmented VAR Approach: a case of Nigeria, Global Journal of Human Social Science: E Economics, 19(6), 11– 21.

Alabi, N. O. & Bada, O. (2018). Can a Decision Tree Forecast Real Economic Growth from Relative Depth of Financial Sector in Nigeria? Global Journal of Science Frontier Research: F Mathematics and Decision Sciences, 18(4), 55-67.

Ezekiel, I. D. & Alabi, N. O. (2018). Boosted Regression Tree for Modeling Evaporation Piche over Ilorin. Academic Journal of Applied Mathematical Sciences, 4(9), 98-106.

Alabi, N. O. & Are, S. O. (2017). Smoothing Non-Stationary Noise of Nigerian Stock Exchange All-Share Index data using Variable Coefficient Functions. Mathematical Theory and Modeling, 7(7), 34-45.

Conferences Attended

International Conference Papers:  06

Alabi N. O. & Ojenike O. T. (2025). A Sequential Dihybrid Recurrent Neural Network for Solar Radiation Prediction: A Path to Renewable Energy Sustainability in Nigeria. In Proceedings of Food Security and Agricultural Transformation: Innovations and Sustainability for Economic Growth, 5th International Conference, The Federal Polytechnic, Ilaro, Nigeria in Collaboration with University of Abomey-Calavi, Benin Republic. 28th of April – 1st May 2025.

Alabi N. O. & Okoro N. O. (2025). Deep Learning Model for Predicting Economic Growth from Relative Depth of Financial Sector in Nigeria. In Proceedings of the Food Security and Agricultural Transformation: Innovations and Sustainability for Economic Growth, 5th International Conference, The Federal Polytechnic, Ilaro, Nigeria in Collaboration with University of Abomey-Calavi, Benin Republic. 28th of April – 1st May 2025.

Olugbenga Ojo & Nurudeen Alabi (2023). Comparative Analysis of Shrinkage Methods using Selected Macroeconomic Variables in Nigeria. In Proceedings of the 4th International Conference, The Federal Polytechnic, Ilaro, Nigeria in Collaboration with Takoradi Technical University, Takoradi, Ghana. 3rd – 7th September, 2023. University Auditorium, Takoradi Technical University, Takoradi.

Fatunmbi E. O. & Nurudeen O. Alabi (2023). Dynamics of Heat Flow in A Magneto-Casson Nanofluid Over an Expanding Sheet using Darcy-Forchheimer and Mass Flux Model. In Proceedings of the 5th International Cappadocia Scientific Research Congress organized by IKSAD Institute, Cappadocia-Nevsehir, Turkiye, 5th – 7th November 2023.

Ilesanmi A, Ajibode & Nurudeen O. Alabi (2023). Decision Tree as a Resource for Assessing Millet Production in Some Selected West African Countries. In Proceedings of the 4th International Conference, The Federal Polytechnic, Ilaro, Nigeria in Collaboration with Takoradi Technical University, Takoradi, Ghana. 3rd – 7th September, 2023. University Auditorium, Takoradi Technical University, Takoradi.

Are, S. O. & Alabi, N. O. (2018). Bootstrap Aggregated Decision Trees for Modeling Evaporation Piche using other Meteorological Factors over Ilorin and Sokoto. In Proceedings of Enhancing Technical Capacity and Partnership for Industrial and Sustainable Economic Development in Africa: 40th International Conference of the Commonwealth Association of Technical Universities and Polytechnics in Africa (CAPA). Commonwealth Association of Technical Universities and Polytechnics in Africa (CAPA).

Alabi, Nurudeen Olawale & Olaiju, Olusegun A. (2024). Modeling Benchmark Crude Oil Price using Extreme Boosting Machine Learning Algorithm. In Proceedings of Advanced Technologies for Applied and Development Research in National Development of 8th Multi-Disciplinary Annual National Conference of Academic Staff Union of Polytechnics, Damaturu, Yobe.

Alabi, N. O. & Idowu, A, O. (2024). Forecasting Financial Market Volatility: A Generalized Auto-regressive Conditional Heteroskedasticity Approach. In Proceedings of Scientific and Technological Innovations: Catalyst for Sustainable Transformations and Developments, School of Science, Yaba College of Technology, Yaba.

Alabi, Nurudeen Olawale & Okoro Ndubuisi O. (2024). Improving the Accuracy of Bonny-Light Crude Oil Price Prediction through Random Forest Ensemble Techniques. In Proceedings of 2nd Multi-Disciplinary Annual National Conference of School of Science and Technology, Damaturu, Yobe.

Alabi, Nurudeen Olawale & Okoro Ndubuisi O. (2024). Modeling Malaria Morbidity amongst Students of Tertiary Institution using ARFIMA. In Proceedings of Emerging Trends in Agricultural Development, Technology, Business Management and Entrepreneurship Development in Contemporary Nigeria: A Catalyst for Industrial Development, 1st ASUP Multidisciplinary National Conference, Federal Polytechnic Wannune Chapter.

Alabi, Nurudeen Olawale (2024). Forecasting Benchmark Crude Oil Price from its Determinants using Support Vector Regression models. In Proceedings of Science and Novel Technologies in Advancing Sustainable National Development, College of Basic and Applied Sciences, Mountain Top University, MFM Prayer City.

Ojenike O. A. & Alabi, N. O. (2023). Gender Disparities in TVET Participation: Addressing Inequalities and Promoting Women’s Employment. In Proceedings of Technology and Communication for National Security, School Communication and Information Technology, Federal Polytechnic, Ilaro.

Alabi, Nurudeen Olawale & Agbolade, Olumuyiwa A. (2023). Assessing the Efficacy of Markov Switching Models for Predicting Fluctuations in the Nigerian All Share Index. In Proceedings of Brain Drain Conundrum: The Future of Science and Technology in Nigeria: 3rd Annual National Conference of School of Science Technology, Moshood Abiola Polytechnic, Abeokuta.

Olaiju, Olusegun A. & Alabi, Nurudeen O. (2022). Higher Order Finite Element Approximation in One Dimension. In Omotayo E. A. (Ed).  In Proceedings of the Technical and Vocational Education Training (TVET) as a Panacea to Economic and Security Challenges in Nigeria: 13th National Conference of the School of Management Studies, Federal Polytechnic Ilaro.

Olaiju, O. A. & Alabi, N. O. (2022). Derivation of an Unbiased Lincoln-Peterson Estimator of the Total Population in Tagging and Sporting Method for Small Sample Size. In Proceedings of 1st International conference of the business management administration and information science at the Federal Polytechnic Ede, Osun state, Nigeria.

Alabi, N. O. & Obafemi, O. S. (2022). Robust Estimator of Vector Scatter Matrix as a Multivariate data Outlier Detection Technique. In Proceedings of Scientists’ Roles for Sustainable Economic Recovery in Post Covid-19 Era: 8th Biennial International Conference of School of Science and Computer, Studies. The Federal Polytechnic Ado-Ekiti.

Akanbi, Olumuyiwa & Alabi, Nurudeen (2022). Modelling and Forecasting Exchange Rate Movement in Nigeria in the Presence of Extreme Influential Observations. In Proceedings of the revamping the economy: the TVET Perspectives: 3rd International Conference. Federal Polytechnic Ilaro.

Alabi, N. O. & Ajibode, I.A (2022). Empirical Analysis of Exchange Rate Regimes in Nigeria using Two-state Markov-Switching with Serially Correlated Errors. In Proceedings of the place of polytechnics, monotechnics, and specialized institutions in combating skilled manpower shortage in Nigeria: 6th National Conference of Academic Staff Union of Polytechnics. Zone C, Federal Polytechnic Ile-Oluji.

Alabi, Nurudeen. O. & Bada, Olatunbosun. (2022). Forecasting Exchange Rate Movement from Foreign External Reserve and Crude Oil Price in Nigeria using Two-state Time-invariant Markov-switching Autoregressive Model. In Proceedings of Building Capacity for the Fourth Industrial Revolution: The way forward. 3rd National Conference and Exhibition. ASUP Auchi Polytechnic Chapter.

Akanbi, Olumuyiwa & Alabi, Nurudeen (2021). A Note on Laurent Series. In Proceedings of Synergy between Industry and Academia: A panacea for Scientific & Technological Advancement towards National Development: 5th National Conference of the School of Pure and Applied Science. The Federal Polytechnic Ilaro.

Afuye, A. & Alabi, N. O. (2021). The Effect of Oral Administration of Musa Sapientum on Blood Glucose and Glutathione Levels in Alloxan Induced Diabetic Albino Rats. In L. Ojo (Ed), Proceedings of ICT Synergy for Sustainable Development in Nigeria: 13th Annual National Conference of the School of Applied Sciences and Technology, (SASTCON) Auchi Polytechnic. School of Applied Sciences and Technology, (SASTCON), Auchi Polytechnic.

Alabi, N. O. & Bada, O. (2021). Modeling Evaporation Piche using other Meteorological factors over Sokoto. In L. Ojo (Ed), Proceedings of 10th Annual National Conference of the School of Information and Communication Technology, (SICTCON) Auchi Polytechnic. School of Information and Communication Technology (SICTCON), Auchi Polytechnic.

Olaiju, O.A.  & Alabi, N. O. (2020). Pattern in Quadratic Functions. In Proceedings of 18th Annual National Conference (Virtual) of The School of Business Studies, The Federal Polytechnic Ede, Osun State, Nigeria. 2nd - 4th September.

Aako, O. L. & Alabi, N. O. (2019). Modeling the Volatility of Nigerian Stock Market Using GARCH Family Models. In O.P. Durojaiye (Ed), Proceedings of Synergy between Industry and Academia: A panacea for Scientific & Technological Advancement towards National Development: 4th National Conference of the School of Pure and Applied Science. The Federal Polytechnic Ilaro.

Agbolade, O. A. & Alabi, N. O. (2019). Gaussian Quadrature Rule in Multistep Method for Volterra Integrodifferential Equations. In O.P. Durojaiye (Ed), Proceedings of Synergy between Industry and Academia: A panacea for Scientific & Technological Advancement towards National Development: 4th National Conference of the School of Pure and Applied Science. The Federal Polytechnic Ilaro.

Alabi, N. O. & Are, S. O. (2018). Application of Support Vector Machines to the Forecast of Direction of Exchange Rate in Nigeria. In Proceedings of Knowledge and Technological Innovation and Global Competitiveness: The 1st Federal Polytechnic, Ilaro International Conference. Federal Polytechnic, Ilaro.

Bada, O. & Alabi, N. O. (2018). Smoothing Parameter and the Performance of Exponentially Weighted Moving Average and Variance Control Scheme. In L. Ojo (Ed), Proceedings of ICT Synergy for Sustainable Development in Nigeria: 7th Annual National Conference of the School of Information and Communication Technology, (SICTCON) Auchi Polytechnic. School of Information and Communication Technology (SICTCON), Auchi Polytechnic.

Alabi, N. O. & Are, S. O. (2017). An Application of Multivariate Gaussian Discriminant Classifiers to the Direction of Inflation Rate in Nigeria.  In S. Umukoro (Ed), Proceedings of ICT: A Tool for Revival and Development in a Depressed Economy: 6th Annual National Conference of the School of Information and Communication Technology (SICTCON), Auchi Polytechnic. School of Information and Communication Technology (SICTCON), Auchi Polytechnic.

Are, S. O. & Alabi, N. O. (2016). Modeling Domestic Output from Selected Macroeconomic Variables in Nigeria using Cross-Validated Scatterplot Smoothers. In S. R. Mohammed (Ed), Proceedings of Repositioning Nigerian Technological Education in the 21st Century: Academic Staff Union of Polytechnics, (ASUP) Ilaro Chapter 5th National Conference (pp. 118 – 129).Academic Staff Union of Polytechnics, (ASUP) Ilaro Chapter.

Lawal, G. O., Aweda, N. O., Oyeyemi, G. M. & Arowolo, O. T. (2015). Forecasting Real Economic Growth from Relative Depth of Financial Development in Nigeria: A Multivariate Framework Approach. In J. I. Mbegbu (Ed), Proceedings of Statistics for Good Governance: 39th Nigerian Statistical Association (NSA) Annual Conference (pp. 182-195). Nigerian Statistical Association.

Summary of Profile

Alabi Nurudeen Olawale is a Chief Lecturer in the Department of Mathematics and Statistics at Federal Polytechnic Ilaro, Ogun State, Nigeria. He holds a B.Sc. and M.Sc. in Statistics as well as an MBA in Business Administration, reflecting a strong blend of quantitative expertise and managerial competence. He is currently pursuing a Ph.D. in Statistics at University of Ilorin, Kwara State, further strengthening his research depth and academic scholarship. With extensive teaching experience at both the National Diploma (ND) and Higher National Diploma (HND) levels, he delivers courses including Industrial Statistics, Medical Statistics, Business Statistics, Multivariate Analysis, Stochastic Processes, Biometrics, and Sampling Theory. His research interests focus on statistical modelling and forecasting, statistical process control, data mining, and data visualization, with scholarly contributions in economic forecasting, macroeconomic time-series analysis, and machine learning applications. As a committed academic, he actively engages in research, curriculum development, and student mentorship, contributing to the advancement of the School of Pure and Applied Sciences and the broader mission of the Polytechnic to produce analytically skilled and industry-ready graduates.