Mr. Cheng Zhong | Power Network | Excellence in Research

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Mr. Cheng Zhong | Power Network | Excellence in Research 

Mr. Cheng Zhong, State Grid Corporation of China 

Zhong Cheng, is a Professor-level Senior Engineer and the Director of the State Grid Xiong’an New Area Power Supply Company. He holds a Bachelor’s degree in Information and Communication from Fuzhou University and has extensive expertise in information, communication, sensing, and measurement. He is an active member of multiple technical committees, including the Digital Technology Standards Professional Working Group TC06 of the State Grid Corporation of China and the IEEE PES Power System Communication and Network Security Technical Committee (China). He has received numerous awards, including three second prizes for Scientific and Technological Progress in Hebei Province and multiple national and industry-level honors. Zhong Cheng has led significant research projects, developed national power industry standards, and authored 35 core journal papers, 14 invention patents, one U.S. patent, and four monographs. His contributions to power communication and IoT technologies have made a substantial impact on China’s power grid development.

Professional Profile:

ORCID

Summary of Suitability for Excellence in Research

Zhong Cheng is highly suitable for the Research for Excellence in Research award based on his extensive contributions to information and communication technologies, sensing, and measurement, particularly in the power industry. His expertise is demonstrated through his leadership roles in national and international standardization committees, numerous awards for scientific and technological progress, and impactful research publications.

🎓 Education:

  • Bachelor’s Degree in Information and Communication
  • Alma Mater: Fuzhou University

💼 Work Experience:

  • Director at State Grid Xiong’an New Area Power Supply Company
  • Professor-level Senior Engineer
  • Key Committee Roles:
    • Member of Digital Technology Standards Professional Working Group TC06 (Information and Communication) of State Grid Corporation of China
    • Director of the Strategic Coordination Working Group of the National Power System Management and Information Exchange Standardization Technical Committee
    • Director of the Power IoT Working Group under the Power Information Standardization Committee
    • Member of the IEEE PES Power System Communication and Network Security Technical Committee (China)
    • Member of the China Electrotechnical Society’s Intelligent Sensing Professional Committee

🏆 Achievements & Contributions:

  • Published Works: 📚

    • 35 papers in core domestic journals
    • 14 invention patents
    • 1 U.S. patent
    • 4 monographs, including:
      • “Detailed Solutions to Power Communication Exercises” (Top 100 National Books)
      • “Power Communication Transmission Simulation Training Textbook – Huawei Edition” (Top 100 National Books)
      • “Detailed Solutions to Data Communication Network Professional Exercises” (Top 100 National Books)
      • “Local Communication Network Technology and Applications for Power IoT”

  • Standard Development: 📜

    • Lead developer of the National Energy Industry Standard:
      • “Technical Guidelines for Lightning Protection and Grounding of Overhead Ground Wire Composite Optical Cable” (DLT 1378-2014)

🏅 Awards & Honors:

  • 🏆 Hebei Province Scientific and Technological Progress Awards:
    • 3 Second Prizes
  • ⚡ China Electric Power Scientific and Technological Progress Awards:
    • 2 Third Prizes
  • 🔬 China Electric Power Science and Technology Standards Innovation Awards:
    • 1 Second Prize
  • 🏅 State Grid Corporation Scientific and Technological Progress Award:
    • 1 Second Prize
  • 📜 State Grid Corporation Standard Contribution Award:
    • Second Prize for “Technical Guidelines for Lightning Protection and Grounding of Overhead Ground Wire Composite Optical Cable”

Publication Top Notes:

A Low-Power Communication Strategy for Terminal Sensors in Power Status Monitoring

 

 

 

Elnaz Yaghoubi | power system analysis | Best Researcher Award

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Elnaz Yaghoubi | Power System Analysis | Best Researcher Award

Dr. Elnaz Yaghoubi, karabuk university, Turkey.

Elnaz Yaghoubi is a dedicated Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, boasting a stellar GPA of 4.0. Her research specializes in power system analysis, microgrids, and renewable energy. Elnaz holds an M.Sc. in Electrical Engineering from Islamic Azad University, also achieving a perfect GPA. She has worked as an engineering expert at Iran’s Telecommunication Company and is an active member of the PEDAR research group, contributing to innovative projects in smart grid technology. With a passion for advancing energy solutions, Elnaz is a rising star in her field. 🌟📚⚡

Professional Profile:

Googlescholar

Education and Experience:

  • Ph.D. in Electronic and Electrical Engineering
    Karabuk University, Turkey (2021-Present)
    Thesis: Techno-economical reliable energy management of smart microgrids
    GPA: 4.0 🎓
  • M.Sc. in Electrical Engineering
    Islamic Azad University, Qaemshahr, Iran (2016-2018)
    Thesis: New topology based on clustering for network on chip
    GPA: 4.0 🎓
  • B.Sc. in Electrical Engineering
    Aryan Institute of Science and Technology, Iran (2012-2014)
    GPA: 4.0 🎓
  • Associate’s Degree in Electrical Engineering
    University College of Rouzbahan, Iran (2010-2012)
    GPA: 4.0 🎓
  • Principle Researcher
    PEDAR Group (2023-Present) 🧑‍🔬
  • Expert in Traffic Monitoring and Data Support
    Telecommunication Company, Iran (2017-2021) 📊
  • Data Network Design
    Telecommunication Company, Iran (2015-2017) 🔌

 

Suitability for Best Researcher Award:

Dr. Elnaz Yaghoubi is an exemplary candidate for the Best Researcher Award in the field of Electronic and Electrical Engineering due to her academic excellence, impactful research contributions, and professional experience.

Professional Development:

Elnaz Yaghoubi is continually enhancing her skills and expertise through various professional development avenues. She possesses strong programming skills in MATLAB and C++ and is currently expanding her knowledge in Python and Linux Essentials. With experience in machine learning and deep learning techniques, she actively engages in research and development within the PEDAR research group. Her proficiency in software tools like AutoCAD and Proteus, alongside certifications in network and security fundamentals, underlines her commitment to staying at the forefront of technological advancements in power systems. 📈💻🔍

Research Focus:

Elnaz Yaghoubi’s research primarily revolves around power system analysis, focusing on optimizing power management in microgrids and smart grids. She explores renewable energy solutions and the integration of distributed generation methods to enhance energy efficiency. Additionally, Elnaz delves into model predictive control (MPC) for advanced power control strategies, emphasizing cyber security in energy systems. Her work with artificial neural networks and machine learning further supports innovative solutions in the field. Elnaz’s commitment to addressing contemporary energy challenges makes her a pivotal figure in advancing smart energy technologies. 🔋🌍🔧

Awards and Honors:

  • Perfect GPA Award (Karabuk University) 🎖️
  • Outstanding Research Contribution Award (Islamic Azad University) 🏆
  • Best Paper Award (Conference on Renewable Energy Solutions) 📜
  • Excellence in Engineering Award (Telecommunication Company, Iran) 🌟
  • Leadership in Research Award (PEDAR Group) 🏅

Publication top Notes:

  • State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques 🌐
    Cited by: 85 | Year: 2023
  • The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems 🔋
    Cited by: 15 | Year: 2023
  • Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide 📡
    Cited by: 12 | Year: 2021
  • Reducing the vulnerability in microgrid power systems ⚡
    Cited by: 11 | Year: 2023
  • Electric vehicles in China, Europe, and the United States: Current trend and market comparison 🚗
    Cited by: 10 | Year: 2024
  • Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide 📊
    Cited by: 10 | Year: 2022
  • A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior ⚙️
    Cited by: 9 | Year: 2024