Jonathan Kwaku Afriyie

The researcher's work is centered around innovative data analysis techniques and computational methods that address challenges in diverse scientific domains. Their research spans a range of areas including imbalanced classification problems, complex systems modeling, time series forecasting, and anomaly detection. By developing robust methodologies for data analysis, the researcher contributes to advancements in fields such as fraud detection in financial transactions, environmental monitoring through time series studies, and understanding the dynamics of infectious diseases. This work reflects a commitment to enhancing predictive and explanatory capabilities across physical and social sciences through interdisciplinary approach and cutting-edge computational techniques.