Ali Hasan, PhD

Hasan studies and teaches about electrical power systems, renewable energy technology and energy grid management, including the integration of renewable energy sources. His research focuses on using artificial intelligence technology to forecast energy demand and project production from renewable energy sources such as wind and solar.

In addition to his scholarship in electrical engineering, Hasan draws on years of real-world experience solving power supply management challenges for commercial mineral mining operations in South Africa.

He earned his PhD from the University of Johannesburg in South Africa, where he was a pioneer in using AI and machine learning technology to help stabilize microgrid power systems and project energy production in bi-directional grids involving reneable energy sources.

Hasan has published and presented extensively on using AI for predictive modeling of energy demand and production to enhance efficiency of nontraditional energy grids, as well as for fault detection in solar panels and wind turbine blades. He is currently leading research to develop technology that will enable more solar energy to be introduced into power grids in Africa.