The researcher's work focuses on advancing hydrological forecasting techniques by leveraging machine learning algorithms, particularly emphasizing the application of AI for accurate rainfall prediction and climate analysis. Their research extends the use of these methods to diverse regions, with a particular emphasis on improving resource management and adaptation strategies through innovative data-driven approaches.
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.