The researcher has focused on developing advanced optimization techniques using machine learning and deep learning methods, particularly targeting applications across diverse domains such as graph-based representations for solving complex problems like social networks and protein folding. Their work also extends to computational chemistry, demonstrating innovative approaches that bridge theoretical insights with practical implementations, showcasing a comprehensive approach to interdisciplinary research.
All Papers
No papers found for the selected criteria.
No collaborations found in the dataset.
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.