The researcher focuses on understanding complex systems and networks, employing network science to analyze relationships and interactions across diverse scales. Their work encompasses collaboration patterns, influence dynamics, epidemic spreading, and the application of machine learning techniques to model these systems. The research bridges theoretical frameworks with practical applications, aiming to uncover fundamental principles governing interconnected phenomena in various domains.
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This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.