Dr. Elaheh Yaghoubi, Karabuk University, Turkey
Dr. Elaheh Yaghoubi is a skilled researcher in power system analysis and smart grids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she focuses on optimal power control for grid-connected distributed generation using Model Predictive Control (MPC). She holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems. As a Principal Researcher at PEDAR, she integrates AI techniques like machine learning and deep learning into power management solutions and has held senior roles in companies such as Rico Electronics and Kati Kabl Tabarestan Factory.
Professional Profile
Suitability for the Best Researcher Award:
Dr. Elaheh Yaghoubi is an excellent candidate for the Best Researcher Award. Her ongoing research in optimal power control for distributed generation, coupled with her expertise in MPC and AI integration, positions her as a forward-thinking researcher addressing critical issues in the energy sector. Her work is both theoretically robust and practically applicable, which is essential for the future development of sustainable and intelligent power systems.
Education & Expertise:
Dr. Elaheh Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where her research focuses on optimal power control of grid-connected distributed generation using Model Predictive Control (MPC). She also holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems.
Research Interests:
Her areas of interest include power system analysis, smart grids, renewable energy, distributed generation, and the application of AI techniques like machine learning and deep learning in power management.
Work Experience:
Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group and has held senior management positions at Rico Electronics and Kati Kabl Tabarestan Factory. Additionally, she worked as a website designer at WebCore Company.
Her work integrates advanced power control strategies with AI-driven solutions for future energy systems.
Publication Top Notes:
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“The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
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Citations: 16
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Published: 2023
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“Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
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Citations: 12
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Published: 2021
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“Reducing the vulnerability in microgrid power systems”
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Citations: 11
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Published: 2023
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“Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
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Citations: 10
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Published: 2024
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“Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
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Citations: 10
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Published: 2022