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Dr Garikai Marangwanda
Post doctoral Research Fellow
Computational Fluid Dynamics, Combustion, Renewable Energy, Machine learning. Dr. Marangwanda’s research interest is in the field of sustainable energy systems, focusing on improving combustion efficiency. His work invol
Last reviewed: 2026/07/15
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Computational Fluid Dynamics, Combustion, Renewable Energy, Machine learning. Dr. Marangwanda’s research interest is in the field of sustainable energy systems, focusing on improving combustion efficiency. His work involves optimizing biomass–coal co-combustion using computational fluid dynamics (CFD) and machine learning techniques. He also develops value-added energy solutions such as solar-assisted thermal systems and thermal energy storage technologies for industrial and agricultural use. He also explores resource recovery and energy conversion technologies aimed at supporting cleaner, low-cost energy solutions for developing regions. Scopus: https://www.scopus.com/authid/detail.uri?authorId=57213351276 Orcid: https://orcid.org/0000-0002-3746-957X GoogleScholar: https://scholar.google.com/citations?user=OZYXdYUAAAAJ&hl=en