Augustine Tawiah

The researcher's work focuses on advancing machine learning models for time-series forecasting and energy system modeling, particularly utilizing attention mechanisms to improve predictive accuracy in dynamic environments. Their studies span various applications across different fields, such as financial markets and environmental science, demonstrating the versatility and effectiveness of these computational techniques in real-world scenarios.