Gabriel Asare Okyere

The researcher's work is centered around integrating advanced statistical methodologies and theoretical frameworks to address challenges in multiple disciplines. Key areas include: 1. **Meta-Analysis and Systematic Reviews**: Utilizing sophisticated statistical techniques like meta-analysis to synthesize findings from various studies on effect-size estimates, with a focus on normally and contaminated normals. 2. **Global Trade and Economics**: Investigating the impact of Foreign Direct Investment (FDI) in Ghana's economic growth through optimal control models for age-structured Malaria models, incorporating different factors. 3. **Mathematical and Theoretical Epidemiology**: Developing and analyzing age-structured Malaria models across different demographics to understand disease dynamics and transmission. 4. **Education Technology and Assessment**: Exploring online and blended learning methodologies, particularly in the Kwame Nkrumah University of Science and Technology, using machine learning classifiers for water access assessments. 5. **Epidemiological Studies**: Conducting systematic reviews on determinants of low birth weight in specific regions to address health inequalities. 6. **Advanced Statistical Methods and Models**: Employing Bayesian approaches and copulas under data perturbations in financial applications, as well as robust adaptive schemes for longitudinal data analysis. 7. **International Business and FDI**: Analyzing the impact of Foreign Direct Investment on Ghana’s economic growth, focusing on global trends and regional developments. 8. **Sustainable Supply Chain Management**: Optimizing water access through sustainable supply chain management strategies in a Ghanaian university setting. 9. **Economic Theories**: Enhancing economic growth models by optimizing under various production functions to ensure robustness and accuracy. 10. **International Business Contexts**: Focusing on the FDI impact on local economies, including the study of Foreign Direct Investment's role in global trade patterns. The research aims to bridge methodologies across diverse fields, using advanced statistical tools to address complex issues in public health, education, and economics, leveraging technology for enhanced learning and sustainability efforts.