Xiaoming Zhang | Integrated Energy System | Best Researcher Award

Dr. Xiaoming Zhang | Integrated Energy System | Best Researcher Award

Lecturer at Inner Mongolia University Of Science and Technology, China.

Dr. Xiaoming Zhang is a researcher in the field of thermal and renewable energy systems. He obtained his Ph.D. from Beijing University of Technology, specializing in Power Engineering and Engineering Thermophysics. With a multidisciplinary background and academic appointments, his work integrates experimental analysis, system modeling, and advanced optimization methods including AI-driven tools for improving energy system efficiency and sustainability. He has contributed to over 10 academic papers and co-authored 2 monographs in his field.

Professional Profile 

Scopus Profile

Education 🎓📚

  • B.Eng. in Thermal Energy and Power Engineering, Inner Mongolia University of Science and Technology, China (2004–2008)

  • M.Eng. in Power Engineering, Inner Mongolia University of Technology, China (2012–2015)

  • Ph.D. in Power Engineering and Engineering Thermophysics, Beijing University of Technology, China (2015–2020)

Professional Experience 🧑‍🏫💼

Dr. Xiaoming Zhang currently serves as a faculty member at the School of Information Engineering, Inner Mongolia University of Science and Technology, where he has been engaged in teaching and scientific research since July 2020. Over the past years, he has actively contributed to the advancement of new energy systems and thermal engineering. Dr. Zhang has successfully led multiple research projects, including one funded by the Inner Mongolia Natural Science Fund, one provincial and ministerial-level talent project, and one enterprise-collaborated horizontal project.

Research Interest 🔬📈

  • New energy development and utilization

  • Integrated energy system planning and optimization

  • Thermal energy storage using molten salt technology

  • Organic Rankine Cycle (ORC) systems

  • Application of machine learning in energy systems

  • Solar thermal power systems

Publications Top Note 📝

1. Zhang X., Ding C., Liang G., Yang P., Wang X.

Title: Research on integrated energy system planning based on the correlation between wind power and photovoltaic output
Journal: IET Renewable Power Generation
Year: 2024
Pages: 1–12
Highlights:

  • Investigates coordinated planning methods for integrated energy systems

  • Focuses on wind-PV output correlation to enhance energy system efficiency

2. Zhang X. M., Zhang C. C., Wu Y. T., Lu Y. W.

Title: Experimental research of high temperature dynamic corrosion characteristic of stainless steels in nitrate eutectic molten salt
Journal: Solar Energy
Volume: 209
Year: 2020
Pages: 618–627
Highlights:

  • Examines corrosion behavior of stainless steel in high-temperature molten salt

  • Provides experimental data for thermal energy storage design

3. Zhang X. M., Wu Y. T., Ma C. F., et al.

Title: Experimental Study on Temperature Distribution and Heat Losses of a Molten Salt Heat Storage Tank
Journal: Energies
Volume: 12(10)
Year: 2019
Article ID: 1943
Highlights:

  • Focus on thermal analysis of heat storage tanks using molten salt

  • Supports optimization of thermal storage in solar power plants

4. Zhang Xiaoming, Wu Yuting

Title: Energy and General Analysis of Trough Solar Thermal Power System
Journal: Journal of Solar Energy
Volume: 42(12)
Year: 2021
Pages: 9–16
Highlights:

  • Provides modeling and efficiency analysis of trough solar thermal systems

  • Useful for improving solar thermal plant design

5. Zhang Xiaoming, Wu Yuting, et al.

Title: Structure Design, Temperature Distribution and Stress Analysis of Large Molten Salt Tank
Journal: Journal of Beijing University of Technology
Volume: 47(9)
Year: 2021
Pages: 1064–1073
Highlights:

  • Covers mechanical stress and heat behavior in large-scale energy storage tanks

  • Combines finite element analysis with experimental validation

Conclusion 🌟🎯

Dr. Xiaoming Zhang is an outstanding candidate for the Research for Best Researcher Award, particularly in the field of Integrated Energy Systems. His research aligns with urgent global priorities—clean energy transition, system resilience, and optimization through AI. With high-quality publications, solid project leadership, and impactful research contributions, Dr. Zhang demonstrates the excellence and forward-thinking innovation the award intends to recognize.

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

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”
    • Citations: 88
    • Published: 2023
  • “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