Mohamed Shawky El Moursi

Dr. Mohamed Shawky El Moursi is currently a Professor with the Electrical Engineering and Computer Science Department at Khalifa University, specializing in renewable energy integration and Smart Grid development. He is also the theme lead of Renewable Energy Integration and Storage Systems at the Advanced Power and Energy Center (APEC). His professional experience is based on a solid and profound expertise on practical system implementation with the agent of Siemens for PV system, R&D technological development with leader wind turbine manufacture, Vestas Wind Systems (HQ Technology R&D, Denmark) and Transmission System Planning and Operation with Abu Dhabi Transmission and Dispatch Company, TRANSCO. In 2012, he was a Visiting Professor in the EECS Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. He received several international and national prestigious awards such as UAE Mission Innovation Champion in 2019 at Fourth Mission Innovation Ministerial event in Vancouver, Canada; Faculty Research Excellence Award 2018 for the College of Engineering, Professor at Khalifa University; Expert and Key Employee benefits in Denmark and other prestigious awards. He was successfully able to secure a large amount of research grants based on internally and externally funded projects which amount $8,054,129 from Europe, North America, GCC countries and South Korea. These projects resulted in remarkable research outcomes and innovations that have been documented with a record of top-quality publications (180 papers) as well as 3 US patents. He is also an Editor for several top-tier IEEE Transactions, a regional editor of IET RPG and the chair for the IEEE PES UAE Chapter. In addition, he has graduated high caliber (9) PhD and (24) MSc students, whereby he achieved several best thesis and national awards for his students. He has designed and developed several in-house experimental prototypes and tools along with his research team. He is currently implementing a novel Stability Assessment, Visualization and Enhancement (SAVE) Tool for TRANSCO’s network based on novel AI Techniques, data analytics and deep Learning which financially supported by TRANSCO and Manitoba Hydro International, Canada. Along with KU team, he developed a novel Renewable Energy Management System (REMS Tool) that has been financially supported by ELIA GRID International (Belgium).

Most research interests for a scientist

  • Renewable Energy Integration
  • Smart Grid operation and Control
  • AI application in Power Grids
  • Microgrid and Hybrid AC/DC Power Grids


  • Electrical Power Engineering