Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

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Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

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

Google Scholar

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:

  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024
  • “Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
    • Citations: 10
    • Published: 2022

 

 

Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power system analysis, microgrids, power control in smart grids, model predictive control (MPC), and renewable energy. Elaheh earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, and has a strong background in quality control, having worked as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is proficient in various programming languages and software tools and is actively involved in the PEDAR research group. Her notable research includes optimizing power control for grid-connected distributed generation and enhancing security in smart power microgrids.

Professional Profile:

Google Scholar

Evaluation for Elaheh Yaghoubi’s Suitability for the Best Researcher Award

Elaheh Yaghoubiā€™s exceptional research in power systems, smart grids, and renewable energy, combined with her perfect academic record and practical experience, position her as an excellent candidate for the Best Researcher Award. Her contributions to optimizing power control and enhancing smart grid security, along with her commitment to academic and research excellence, make her a deserving recipient of this prestigious recognition.

šŸŽ“Education:

Elaheh Yaghoubi is currently pursuing a Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she maintains a perfect GPA of 4.0. Her research focuses on optimal power control of grid-connected distributed generation within a hierarchical framework based on Model Predictive Control (MPC). She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Qaemshahr, Iran, also with a perfect GPA of 4.0, where her thesis involved developing a routing algorithm for a large-scale chip grid. She completed her B.Sc. in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, graduating with a GPA of 4.0, and holds an Associateā€™s Degree in Electrical Engineering from the University College of Rouzbahan, Iran, with a GPA of 3.5.

šŸ¢Work Experience:

Elaheh Yaghoubi is currently a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group, a position she has held since 2023. Prior to this, she worked as a Website Designer at WebCore Company from 2019 to 2021. She also has experience as a Senior Manager at Rico Electronics Company (2018-2019) and at Kati Kabl Tabarestan Factory (2015-2018).

šŸ…Awards and Honors:

Elaheh Yaghoubi has been recognized with the Best Researcher Award, highlighting her significant contributions and achievements in her field of study.

Publication Top Notes:

  • The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems
    • Citations: 14
  • Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi Nanodisk Resonators in MIM Waveguide
    • Citations: 12
  • Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison
    • Citations: 10
  • Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide
    • Citations: 10
  • Reducing the Vulnerability in Microgrid Power Systems
    • Citations: 9