
Ghana
Senior Lecturer, Department of Statistics & Actuarial Science,
Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana
Emmanuel de-Graft Johnson Owusu-Ansah
Address:
Department of Statistics & Actuarial Science,
Faculty of Physical and Computational Sciences,
College of Science, KNUST, Kumasi, Ghana
Research Interests:
- Data Analysis
- Feature Extraction
- Neural Networks and Artificial Intelligence
- Data Mining and Knowledge Discovery
- Supervised Learning
- Advanced Machine Learning
- Applied Mathematics
- Unsupervised Learning
- Feature Selection
- Time Series Analysis
- Text Mining
- Statistical Learning
- Data Clustering
- Data Science
- Statistical Data Analysis
- Cluster Analysis
- Predictive Modeling
Biography:
Education / Qualifications
- PhD in Mathematical Statistics / Risk & Reliability (through a mobility program involving University of Copenhagen; Technical University of Denmark; Sokoine University, Tanzania; and KNUST)
- MPhil in Applied Mathematics, National Institute for Mathematical Sciences (NIMS), Department of Mathematics, KNUST
- Postgraduate certificates from Cranfield University (UK), Michigan State University (USA), and the Maastricht School of Management (Netherlands)
Positions and Leadership Roles
Dr. Emmanuel de-Graft Johnson Owusu-Ansah has held multiple academic and administrative leadership positions at the Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. His contributions reflect a strong background in statistics, actuarial science, risk analysis, and higher education governance.
- Deputy Exams Officer, Statistics Department — 2017–2018
- Postgraduate Programs Coordinator, Department of Mathematics, KNUST — August 2018–July 2019
- Co-Chair, Society for Risk Analysis, African Chapter — 2018–Present
- Chairman of Convocation and Council of Convocation, KNUST — January 2022–Present
- Coordinator for Distance Learning Program, Department of Statistics and Actuarial Science, KNUST — January 2022–Present
- Deputy Postgraduate Programs Coordinator, Department of Statistics and Actuarial Science, KNUST — January 2022–Present
- Exams Officer, Distance Learning Programs, Department of Statistics and Actuarial Science, KNUST — January 2024–Present
Current Research Projects
- Climate Change & Crop Yield Prediction in Ghana: Developing advanced models to quantify uncertainty in climate and crop yield forecasting using machine learning and Bayesian statistical methods.
- Artificial Intelligence for Fuel Price Prediction in Africa: Applying AI and neural networks to analyze gasoil price asymmetry, improving accuracy in fuel price prediction and economic forecasting.
- Probabilistic Risk Models under Uncertainty: Evaluating the performance of probabilistic and Bayesian risk models to strengthen risk analysis and decision-making in uncertain environments.
Academic Profiles of Dr. Emmanuel de-Graft Johnson Owusu-Ansah
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Publications:
Dr. Emmanuel de-Graft Johnson Owusu-Ansah has an active research record in statistical modeling, quantitative risk analysis, climate change prediction, renewable energy integration, and environmental health. His work emphasizes the use of machine learning, Bayesian inference, and advanced probabilistic models to address real-world challenges in Ghana and beyond. The following publications highlight his most recent and impactful contributions:
- Owusu-Ansah, E.G.J., Avuglah, R.K., Harris, E., Kyere, A.Y., & Amankwaah, B.G. (2025). Optimizing Renewable Energy Integration: Advanced Statistical Modeling Techniques for Enhanced Grid Stability and Economic Viability. Academia Green Energy, 2(2).
- Mensah, A.K., Obeng, A.S., Addai, P., & Owusu-Ansah, E.G.J. (2025). Potentially harmful elements in mining sites in Ghana: assessment of their carcinogenic and non-carcinogenic health risks for children and adults. Management of Environmental Quality: An International Journal, 36(2), 539–561.
- Arhinful, J.J.K., Owusu-Ansah, E.G.J., Burnett, T.A., & Adebani, O.A. (2025). The Bayesian Hidden Markov Chain Modeling of the Ghana COVID-19 Blood Type Infection Distribution. Ratio Mathematica, 54.
- Hamilton, K.A., Harrison, J.C., Mitchell, J., Weir, M., Verhougstraete, M., & Owusu-Ansah, E.G.J. (2024). Research gaps and priorities for quantitative microbial risk assessment (QMRA). Risk Analysis, 44(11), 2521–2536.
- Owusu-Ansah, E.G.J., Ayiku, J., Appiah, S.K., & Harris, E. (2024). ARMA and/or SETAR Estimation and Out-of-Sample Forecast of the Mean-Reversion Between Brent Crude Oil and Gasoline Prices on the Ghanaian Market. Ratio Mathematica, 51.
Last Updated on September 12, 2025