School of Engineering (SoE) Department of Industrial and Systems Engineering Assistant Professor Aziz Ezzat is an affiliate of the Rutgers AI and Data Science (RAD) group and of the Rutgers Climate and Energy Institute (RCEI). His expertise extends to the development of data science-driven solutions to problems in energy, environmental, and industrial systems.
His multidisciplinary team at Rutgers has, he reports, been working at the intersection of AI and renewable energy for a number of years. “In close collaboration with research groups across SoE and Rutgers School of Environmental and Biological Sciences (SEBS), we have developed novel machine learning methods to improve renewable energy forecasting, design predictive maintenance algorithms that enhance asset efficiency and reliability, and advance AI-driven approaches that support the co-existence of renewable energy infrastructures with surrounding ecosystems.”
Ezzat spoke about Rutgers’ highly collaborative research. In a recent ABC report on renewables, Ezzat spoke about the renewable energy research at Rutgers, including the use of drones and AI-based analytics to detect the early accumulation of icing and dust on solar panels.
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