The researcher has made significant contributions to advancing AI technologies across multiple domains, including deep learning models for computer vision, generative AI, explainable AI, and their applications in natural language processing and molecular biology. Their work bridges the gap between cutting-edge computational methods and real-world challenges, from creative problem-solving through scientific discovery.
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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.