The researcher's overall research focus centers on integrating artificial intelligence across diverse scientific and social sciences, aiming to address real-world challenges through innovative technological applications. Their work spans themes such as hydrological forecasting with machine learning, efficiency analysis using data envelopment, smart agriculture employing AI techniques, online learning with neural networks, innovation diffusion for productivity improvement, education technology for student performance, forensic investigations in digital forensics, and cybersecurity solutions. The research emphasizes leveraging AI to enhance problem-solving abilities across various domains, contributing to both technological advancements and practical applications.
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.