Dr. Dallatu Abbas Umar is a researcher in renewable and sustainable energy systems, with expertise in wind energy harvesting, low-wind-speed turbine design, PMSGs, intelligent MPPT control, and AI-based energy systems. He obtained his PhD from Universiti Tenaga Nasional (UNITEN), Malaysia, focusing on the optimization of wind energy harvesting systems for low-wind-speed environments.
His research interests include renewable energy integration, AI and machine learning, smart grids, energy storage, digital twins, carbon-aware energy management, and sustainable energy technologies. His work combines computational modelling, intelligent control, optimization, and experimental validation to improve the efficiency and sustainability of renewable energy systems.
Dr. Dallatu Abbas Umar is a researcher in renewable and sustainable energy systems, with expertise in wind energy harvesting, low-wind-speed turbine design, PMSGs, intelligent MPPT control, and AI-based energy systems. He obtained his PhD from Universiti Tenaga Nasional (UNITEN), Malaysia, focusing on the optimization of wind energy harvesting systems for low-wind-speed environments.
His research interests include renewable energy integration, AI and machine learning, smart grids, energy storage, digital twins, carbon-aware energy management, and sustainable energy technologies. His work combines computational modelling, intelligent control, optimization, and experimental validation to improve the efficiency and sustainability of renewable energy systems.