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Research Summary
(inferred from publications by AI)The researcher's work spans multiple areas of computational and applied mathematics. Their research focuses on optimizing numerical methods for solving partial differential equations (PDEs), introducing machine learning techniques to predict molecular properties, and developing multiscale models to study tumor growth while accounting for uncertainties in the modeling processes.
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About This Profile
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.