Daniel Oduro Boatey Nuamah

The researcher has conducted extensive research across multiple domains, integrating advanced statistical and algorithmic techniques into geoscientific studies. Their work encompasses the application of inversion-based Fourier transformations in processing magnetic data for pole determination (Geophysical and Geoelectrical Methods), which involves enhancing the accuracy of geological mapping through robust algorithms. Additionally, they have focused on identifying heavy metal sources using multivariate statistical methods, contributing to geochemistry and geologic mapping. The researcher's research also delves into seismic performance analysis, employing probabilistic models to assess earthquake risks in specific geographical contexts. This integrated approach highlights their efforts to enhance the interpretability of complex geoscientific data across various fields: geophysical data processing, algorithm development for pole determination, statistical methods in geochemistry, and seismic hazard assessment.