The researcher's work integrates optimization methods with machine learning for enhancing performance in fluid mechanics simulations, employing computational physics and chemistry techniques within high-performance computing frameworks. Their focus is on advancing both theoretical understanding and practical applications through interdisciplinary methodologies that bridge mathematics, engineering, and the physical sciences.
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.