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About


I'm a Lecturer in Computer Science at Ghana Christian University College and a PhD Candidate in Computer Science at the University of Ghana. My research focuses on artificial intelligence, machine learning, graph neural networks, multimodal data integration, bioinformatics, and predictive healthcare — with a particular focus on graph-based approaches for disease prediction.

I've authored several peer-reviewed publications in these areas and serve as a reviewer for international journals, including PLOS ONE, Operations Research Forum (Springer Nature), and IGI Global.

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Affiliation


Lecturer, Computer Science

Current
Ghana Christian University College · Ghana

Teaching and research in Computer Science.

PhD Candidate, Computer Science

In progress
University of Ghana · Legon, Accra, Ghana

Research focus on graph neural networks, multimodal data integration, bioinformatics, and predictive healthcare, particularly graph-based approaches for disease prediction.

MPhil, Computer Science

Kwame Nkrumah University of Science and Technology (KNUST) · Kumasi, Ghana

M.A., Development Communication

Ghana Institute of Journalism · Accra, Ghana

BSc, Computer Science

University of Ghana · Legon, Accra, Ghana
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Publications


Adoption of Cryptocurrency in Ghana: A Two-Step Analytical Approach Combining PLS-SEM and fsQCA

Frontiers in Blockchain · 2026

Investigates the drivers of cryptocurrency adoption in Ghana using a dual-method approach (PLS-SEM and fsQCA) on survey data from 652 users, examining both linear relationships and complex causal configurations behind adoption.

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AI and VR-Powered Interventions for Social Anxiety: A Review

With F. Boafo, L. A. Owusu-Ansah, S. Mensah · 2025

Reviews the potential of AI-driven mental health interventions for social anxiety, evaluating their effects on symptom reduction, social functioning, and quality of life.

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Exploring the Effectiveness of Graph-Based Computational Models in COVID-19 Research

Operations Research Forum, Springer Nature · with J. K. Appati, J. A. Mensah

Examines how graph-based computational models can be applied to structure and analyze COVID-19 research literature and data.

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View full publication list on Google Scholar →

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Research Areas


Artificial Intelligence Machine Learning Graph Neural Networks Multimodal Data Integration Bioinformatics Predictive Healthcare Graph-Based Disease Prediction

Reviewer for PLOS ONE, Operations Research Forum (Springer Nature), and IGI Global.

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Contact


Open to research collaborations, discussions on machine learning and AI applications, and academic opportunities — feel free to reach out.