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Mohammad Hassan Khooban

Assistant Professor, Associate Professor

Mohammad Hassan Khooban

Power Circuits and Systems. Mohammad Hassan Khooban.


Research interests


  • Advanced Control in Power Electronics & Systems
  • Quantum Machine Learning
  • Artificial Intelligence/Deep Machine Learning in Green Transition
  • Advanced HiL Technology in Next-Generation Energy Systems
  • Integrated Energy Storage
  • Marine Power Systems
  • Renewable Energy & Smart Grids
  • Fault Detection and Isolation
  • Digital-Twins

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