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Faculty

Olusola Olabanjo, PhD ( He/Him/His)

Assistant Professor

2408985732
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Department/Office

  • Information Systems & Supply Chain Management

School/College

  • School of Business

Biography

Dr. Olusola Olabanjo, an Assistant Professor in the department of Information Systems and Supply Chain Management, was a Postdoctoral Researcher at the Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS), Morgan State University, Baltimore, Maryland, USA. He is an interdisciplinary researcher whose work spans computational mathematics, artificial intelligence, machine learning, mathematical modelling, scientific computing, biomedical engineering, and data-driven decision-support systems.

He earned his Ph.D. in Industrial and Computational Mathematics from Morgan State University, where his doctoral research focused on the development and application of finite element methods for modelling and simulating the biomechanics of lung parenchyma. He also holds an M.Sc. in Computer Science with Distinction (a perfect CGPA of 5.0/5.0) and a B.Sc. in Computer Science with First-Class Honours from Lagos State University, Nigeria. He graduated as the first ever student with a First Class degree since 10 years of the establishment of the Department.

Dr. Olabanjo's research lies at the intersection of mathematics, computing, and artificial intelligence. His work includes finite element modelling of biological systems, machine and deep learning, medical and health informatics, numerical methods, mathematical modelling, multi-criteria decision analysis, natural language processing, and responsible and equitable AI. His research has been published in peer-reviewed journals and scholarly outlets covering computational biomechanics, artificial intelligence, machine learning, mathematical sciences, healthcare analytics, and scientific computing.

Before his postdoctoral appointment, Dr. Olabanjo served as Adjunct Faculty in the Department of Mathematics and as a Graduate Assistant at CEAMLS, Morgan State University. He has also worked as a Research and Teaching Assistant at Morgan State University and as an Assistant Lecturer and Graduate Assistant in the Department of Computer Science at Lagos State University. His teaching experience includes programming, database systems, algorithms and complexity, data structures, web development, mathematics, and computational methods.

In 2022, he was selected as an AI Research Intern at the Frontier Development Lab, where he contributed to the development of a natural-language-processing system designed to support decision-making related to hydrogen research and funding. The project involved collaboration within an initiative sponsored by organisations including NASA, the U.S. Department of Energy, SETI Institute, Trillium Technologies, and Google.

Alongside his academic career, Dr. Olabanjo has substantial software engineering, database administration, and web-development experience. His technical expertise includes Python, R, PHP, Wolfram Mathematica, LaTeX, MySQL, PostgreSQL, SQLite, Power BI, Plotly Dash, JavaScript, REST APIs, and related data and web technologies.

Dr. Olabanjo has received several academic and professional distinctions, including a Merit Award from the Frontier Development Lab, recognition as the Overall Best Master's Degree Student at Lagos State University, a Best Paper Award at SciGaIa in Pretoria, South Africa, and an Innovation Award for his undergraduate project. He has also contributed to externally funded research projects in artificial intelligence, agriculture, public health, and data science.

His broader research vision is centred on developing mathematically rigorous, computationally efficient, explainable, and socially responsible artificial intelligence and modelling approaches for solving complex problems in healthcare, science, engineering, and society.

Education & Expertise

Education

Bachelor's Degree

Computer Science
Lagos State University, Nigeria.
2015

Master's Degree

Computer Science
Lagos State University, Nigeria.
2019

Doctor of Philosophy (Ph.D.)

Industrial and Computational Mathematics
Morgan State University, Baltimore, USA
2025

Research

Research

Specialty

Computational Mathematics; Artificial Intelligence and Machine Learning; Scientific Computing; Finite Element Methods; Mathematical Modeling; Biomedical Computing; Explainable and Equitable AI; Data Science; Multi-Criteria Decision Analysis

Funding

Dr. Olabanjo has participated in externally funded interdisciplinary research projects spanning artificial intelligence, agriculture, public health, and data science. He served as a researcher on the Digital Soil Mapping for Optimal Agricultural Yield and Sustainable Soil Biodiversity in Southwest Nigeria Using Artificial Intelligence (FUNAAB-SMARTSOIL) project, funded at $296,053. He also served as Co-Principal Investigator on the Development of a Self-Test Application for COVID-19 Using Artificial Neural Networks, funded at $2,000, and as a Data Scientist on a Food and Agriculture Organization (FAO) funded project valued at $95,000. His research experience also includes participation in the Frontier Development Lab programme on an AI/NLP research initiative sponsored by organizations including NASA, Google, and the U.S. Department of Energy.

Featured News

Featured News

Award for Best Master's Degree Student, 2020

Award for Best Final Year Project in Computer Science in Lagos State

Publications and Presentations

Publications and Presentations

Book Chapter

Olabanjo, O., Seurin, P., Wiggins, J., et al. (2025). “Natural language processing for Earth resource management: A case of H2 Golden Retriever research.” In Data Analytics and Artificial Intelligence for Earth Resource Management. Elsevier, pp. 157–183.

Selected Journal Publications

  1. E. E. Aigbokhan, O. A. Olabanjo, E. A. Akor, D. W. Kaczka, and M. Cai, “A multi-fidelity poroelastic finite element and machine learning framework for characterizing respiratory mechanics in porcine lungs,” Biomechanics and modeling in mechanobiology, vol. 25, no. 4, p. 77, 2026
  2. Olabanjo, O., & Honenberger, P. (2026). “MCDA4AI: A framework for managing n>2 criteria problems in decisions about artificial intelligence.” Array, 29, 100723.
  3. Olabanjo, O., & Wusu, A. (2026). “Energy diagnostics and long-time behavior of Crank–Nicolson schemes for shallow water flows with bottom friction.” Mathematics, 14(5).
  4. Aribisala, B. S., Olabanjo, O., Edward, D., et al. (2025). “Predicting stroke with machine learning techniques in a Sub-Saharan African population.” Neuroscience Informatics, 5(3), 100216.
  5. Asokere, M., Wusu, A., & Olabanjo, O. (2025). “Twitter (X) as an electoral barometer: Systematic evidence from sentiment analysis of Twitter data.” International Journal of Information Technology, 1–24. 
  6. Folorunso, O., Olabanjo, O., Busari, M., et al. (2025). “GEAGROW: A mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks.” Frontiers in Sustainable Food Systems, 9, 1533423.
  7. Mustapha, R., Wusu, A., Olabanjo, O., & Adetunji, B. (2025). “GSM: An integrated GAM–SHAP–MCDA framework for stroke risk assessment.” Analytics, 5(1), 4.
  8. Olabanjo, O., Aigbokhan, E., Akor, E. A., Kaczka, D. W., & Cai, M. (2025). “Finite element simulation of lung parenchyma deformation based on porcine data.” Computer Methods in Biomechanics and Biomedical Engineering, 1–21.
  9. Olabanjo, O., Wusu, A., Olabanjo, O., Asokere, M., Afisi, O., & Akinnuwesi, B. (2025). “A novel deep learning model for early diabetes risk prediction using attention-enhanced deep belief networks with highly imbalanced data.” International Journal of Information Technology, 1–23.
  10. Tsabedze, L. T., Akinnuwesi, B. A., Dlamini, B., et al. (2025). “Enhancing public safety in Eswatini: A machine learning–driven predictive policing model.” Human Behavior and Emerging Technologies, 2025(1), 9939274.
  11. Olabanjo, O., Wusu, A., Afisi, O., & Akinnuwesi, B. (2024). “Stroke risk factor prediction using machine learning techniques: A systematic review.” Journal of Applied Sciences.
  12. Olabanjo, O., Wusu, A., Aigbokhan, E., Olabanjo, O., Afisi, O., & Akinnuwesi, B. (2024). “A novel graph convolutional networks model for an intelligent network traffic analysis and classification.” International Journal of Information Technology, 1–13.
  13. Wusu, A., & Olabanjo, O. (2024). “Optimizing ODE solutions: Application of Nelder-Mead algorithm for solving mixed boundary value problems.” Annals of Mathematics and Computer Science, 20, 16–24.
  14. Folorunso, O., Ojo, O., Busari, M., et al. (2023). “Exploring machine learning models for soil nutrient properties prediction: A systematic review.” Big Data and Cognitive Computing, 7(2), 113.
  15. Olabanjo, O., & Wusu, A. (2023). “Dynamics of sustainable fisheries: A mathematical approach using Lotka-Volterra equations.” Annals of Mathematics and Computer Science, 19, 59–67.
  16. Olabanjo, O., Wusu, A., Afisi, O., et al. (2023). “From Twitter to Aso-Rock: A sentiment analysis framework for understanding Nigeria 2023 presidential election.” Heliyon, 9(5).
  17. Olabanjo, O., Wusu, A., Asokere, M., et al. (2023). “Application of machine learning and deep learning models in prostate cancer diagnosis using medical images: A systematic review.” Analytics, 2(3), 708–744.
  18. Aribisala, B., Odusanya, O., Olabanjo, O., Wahab, E., Atilola, O., & Saheed, A. (2022). “Development of an artificial neural network model for detection of COVID-19.” International Journal of Science Advances, 3, 377–385.
  19. Olabanjo, O. A., Wusu, A. S., & Manuel, M. (2022). “A machine learning prediction of academic performance of secondary school students using radial basis function neural network.” Trends in Neuroscience and Education, 100190.
  20. Wusu, A. S., Olabanjo, O. A., & Akanbi, M. A. (2022). “A model for analysing the dynamics of the second wave of coronavirus (COVID-19) in Nigeria.” Journal of Mathematics and Computer Science, 26, 16–21.
  21. Wusu, A. S., Olabanjo, O. A., & Mazzara, M. (2022). “Exponentially-fitted fourth-derivative single-step Obrechkoff method for oscillatory/periodic problems.” Mathematics, 10(14), 2392.
  22. Wusu, A. S., Olabanjo, O. A., & Mazzara, M. (2022). “Two-parameter exponentially fitted Taylor method for oscillatory/periodic problems.” Mathematics, 10(24), 4768.
  23. Macaulay, B. O., Aribisala, B. S., Akande, S. A., Akinnuwesi, B. A., & Olabanjo, O. A. (2021). “Breast cancer risk prediction in African women using random forest classifier.” Cancer Treatment and Research Communications, 28, 100396. 
  24. Olabanjo, O. A., Aribisala, B. S., Mazzara, M., & Wusu, A. S. (2021). “An ensemble machine learning model for the prediction of danger zones: Towards a global counter-terrorism.” Soft Computing Letters, 3, 100020.
  25. Wusu, A. S., Olabanjo, O. A., & Aribisala, B. S. (2021). “A SEIRD model for analysing the dynamics of coronavirus (COVID-19) pandemic in Nigeria.” Universal Journal of Applied Mathematics, 9, 10–15.
  26. Atanbiyi, G., Aribisala, B., Nyaaku, O., & Olabanjo, O. (2020). “Development of objective ranking system for tertiary institutions in developing nations.” Journal of Research and Review in Science, 7, 39–53.
  27. Aribisala, B., & Olabanjo, O. (2018). “Medical image processor and repository–MIPAR.” Informatics in Medicine Unlocked, 12, 75–80.
  28. Olabanjo, O. A., Wusu, A. S., Akanbi, M. A., & Aribisala, B. S. (2018). “Behavioural analysis of the modified Lotka-Volterra predator-prey model using a computer simulation.” Journal of Research and Review in Science.