Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/mechanics-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 201

Warning: Undefined variable $insensitive in /home/u792129758/domains/sciencefather.com/public_html/mechanics-conferences/wp-content/plugins/internal-link-building-plugin/internal_link_building.php on line 202
56 / 100

Dr.Elaheh Yaghoubi | Microgrid | 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, smart grid power control, model predictive control (MPC), and renewable energy. She earned her M.Sc. and B.Sc. degrees, both with a GPA of 4.0, from Islamic Azad University and Aryan Institute of Science and Technology, respectively. Elaheh has significant experience in quality control, having worked as a senior manager and web designer. She is also an active member of the PEDAR research group and skilled in various programming languages and software.

Publication Profile

Strengths for the Award 🌟

  1. Outstanding Academic Performance: Elaheh maintains a perfect GPA of 4.0 in her Ph.D., M.Sc., and B.Sc. programs, reflecting her deep understanding and commitment to her field.
  2. Diverse Research Contributions: Her research covers critical areas such as power system analysis, microgrids, smart grids, and renewable energy, demonstrating a broad and impactful focus.
  3. High-Quality Publications: She has authored several significant papers in reputable journals, including recent reviews and meta-analyses in the fields of machine learning, artificial intelligence, and power systems.
  4. Innovative Work: Her research includes cutting-edge topics like model predictive control, real-time techno-economical operation of microgrids, and advanced nanoplasmonic devices, showcasing her role in pioneering new methodologies.
  5. Professional Experience: Elaheh has substantial experience in quality control, web design, and research management, adding practical insights and a well-rounded perspective to her research.
  6. Active Research Participation: She is involved with the PEDAR research group and has demonstrated leadership in her research endeavors.

Areas for Improvement 🔍

  1. Broaden Impact: While Elaheh’s research is impactful, expanding her work to include broader interdisciplinary applications could enhance its relevance across multiple fields.
  2. Increase Collaboration: Further collaboration with international researchers or industry partners could amplify the reach and applicability of her findings.
  3. Publication Frequency: Although she has several notable publications, increasing the number of high-impact publications annually could further solidify her standing in the academic community.

Education 🎓

Ph.D. (2021-Present): Electronic and Electrical Engineering, Karabuk University, Turkey. Thesis: Optimal power control of grid-connected distributed generation in a hierarchical framework based on MPC. GPA: 4.0.M.Sc. (2016-2018): Electrical Engineering, Islamic Azad University, Iran. Thesis: Routing algorithm for grid topology on large-scale chips to detect errors. GPA: 4.0.B.Sc. (2012-2014): Electrical Engineering, Aryan Institute of Science and Technology, Iran. GPA: 4.0.Associate’s Degree (2010-2012): Electrical Engineering, University College of Rouzbahan, Iran. GPA: 3.5

Research Interests 🔬

Power System Analysis and Stability ⚡.Microgrids and Smart Grids 🌐.Renewable Energies and Distributed Generation 🌞Control Systems and Model Predictive Control (MPC) 📊.Artificial Neural Networks, Machine Learning, and Deep Learning 🤖.

Professional Experience 💼

Principle Researcher: Power Electrical Developing Advanced Research (PEDAR) Group, 2023-Present.Website Designer: WebCore Company, 2019-2021.Senior Manager: Rico Electronics Company, 2018-2019.Senior Manager: Kati Kabl Tabarestan Factory, 2015-2018.

Skills 🛠️

Programming Languages: MATLAB, Python, Kotlin, JavaScript, PHP, C++, Machine Learning.Software Proficiency:MATLAB, AutoCAD, Proteus, Laravel, CSS, HTML, MySQL, WordPress, Android Studio, Microsoft Office Suite.

 

Publication:

  1. Title: The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems
    Authors: M Khaleel, E Yaghoubi, E Yaghoubi, MZ Jahromi
    Year: 2023
  2. Title: Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi Nanodisk Resonators in MIM Waveguide
    Authors: AA Faghani, E Yaghoubi, E Yaghoubi
    Year: 2021
  3. Title: Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison
    Authors: M Khaleel, Y Nassar, HJ El-Khozondar, M Elmnifi, Z Rajab, E Yaghoubi, …
    Year: 2024
  4. Title: Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide
    Authors: AA Faghani, Z Rafiee, H Amanzadeh, E Yaghoubi, E Yaghoubi
    Year: 2022
  5. Title: Reducing the Vulnerability in Microgrid Power Systems
    Authors: Z Yusupov, E Yaghoubi, V Soyibjonov
    Year: 2023
  6. Title: A Systematic Review and Meta-Analysis of Artificial Neural Network, Machine Learning, Deep Learning, and Ensemble Learning Approaches in the Field of Geotechnical Engineering
    Authors: E Yaghoubi, E Yaghoubi, A Khamees, AH Vakili
    Year: 2024
  7. Title: Controlling and Tracking the Maximum Active Power Point in a Photovoltaic System Connected to the Grid Using the Fuzzy Neural Controller
    Authors: Z Yusupov, E Yaghoubi, E Yaghoubi
    Year: 2023
  8. Title: Modeling and Control of Decentralized Microgrid Based on Renewable Energy and Electric Vehicle Charging Station
    Authors: Z Yusupov, N Almagrahi, E Yaghoubi, E Yaghoubi, A Habbal, D Kodirov
    Year: 2022
  9. Title: A Systematic Review and Meta-Analysis of Machine Learning, Deep Learning, and Ensemble Learning Approaches in Predicting EV Charging Behavior
    Authors: E Yaghoubi, E Yaghoubi, A Khamees, D Razmi, T Lu
    Year: 2024
  10. Title: Real-Time Techno-Economical Operation of Preserving Microgrids via Optimal NLMPC Considering Uncertainties
    Authors: E Yaghoubi, E Yaghoubi, Z Yusupov, J Rahebi
    Year: 2024

Conclusion 🏆

Elaheh Yaghoubi’s academic excellence and extensive experience in electronic and electrical engineering underscore her significant contributions to power system analysis and smart grid technologies. With a perfect academic record and active involvement in cutting-edge research on microgrids and model predictive control, she demonstrates a strong commitment to advancing renewable energy solutions. Her diverse skill set, including expertise in quality control and web design, complements her research, making her a valuable asset in her field.

Elaheh Yaghoubi | Microgrid | Best Researcher Award

You May Also Like