The researcher's work focuses on interdisciplinary approaches at the intersection of climate science, machine learning, and geophysics, with a particular emphasis on applying modern computational methods to address global challenges such as climate change. Their research integrates methodologies like feedback analysis, uncertainty quantification, and algorithmic fairness within frameworks for understanding Earth systems through advanced machine learning models. The study also explores applications of deep learning in modeling complex, multi-variable systems relevant to geophysical phenomena, aiming to advance our understanding of Earth's dynamic processes and develop more reliable tools for predicting and mitigating climate impacts.
Faculty Biography
Dr. Emmanuel Kofi Garsonu is a lecturer in the Department of Geography and Rural Development at Kwame Nkrumah University of Science and Technology, Kumasi. He holds a MSc. Degree in Cartography from Moscow State University of Geodesy and Cartography in Russia and PhD in Geography and Rural Development. He has worked at Survey Department for a number of years as a Cartographer and tutor at Ghana School of Surveying and Mapping. He is a member of American Congress on Surveying and Mapping, British Cartographic Society and Ghana Geographical Association.
Department of Geography & Rural Development
Kwame Nkrumah University of Science and Technology