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

 

 

 

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

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 Yaghoubi’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.

🎓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 Associate’s Degree in Electrical Engineering from the University College of Rouzbahan, Iran, with a GPA of 3.5.

🏢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).

🏅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

 

 

 

 

 

Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

Ms. Meenakshi Khandelwal, Indian Institute of Technology Delhi, India

Ms. Khandelwal, with a B.Tech. and M.Tech. in Power Systems, specializes in power distribution network modeling and market operations. Her Ph.D. research at the Indian Institute of Technology Delhi focuses on developing an efficient distribution locational marginal price framework and innovative approaches for optimal power flow and electro-thermal resource interactions. Notable projects include a current-sensitivity-based OPF framework and an aggregator-DNO framework for high DER penetration. Her published work, such as “Current Sensitivity Based OPF Framework for Active Distribution Network,” and practical experience from roles at Kamal Cogent Energy and TISHITU Research & Consultancy underscore her contributions to smart grid technology and sustainable practices.

Professional Profile:

Google scholar

Suitability for the Award

Ms. Khandelwal’s research work has made substantial contributions to the field of power systems, specifically in optimizing power distribution networks and integrating DERs. Her innovative approaches to Optimal Power Flow (OPF) frameworks and market operations demonstrate her advanced knowledge and expertise. Her ability to blend theoretical research with practical applications in power systems further underscores her suitability for the Research for Best Researcher Award.

Educational Achievements:

Ms. Khandelwal’s academic background includes a B.Tech. and M.Tech. in Power Systems, with notable projects and publications that contribute to the field. Her current research work and her publications, such as “Current sensitivity based OPF framework for active distribution network” in the International Journal of Electrical Power & Energy Systems, highlight her ongoing contributions to the field.

Specialized Research Expertise:

Ms. Khandelwal is specializing in power distribution network modeling and market operations, with a focus on mathematical programming and optimization techniques. Her work involves developing advanced models for DERs market participation, which is crucial for the advancement of smart grid technology and energy decentralization.

Significant Academic Contributions:

Her Ph.D. research at the Indian Institute of Technology Delhi focuses on an efficient distribution locational marginal price framework. Her proposed frameworks for optimal power flow (OPF) and electro-thermal resource interactions are innovative approaches that address real-world challenges in distribution networks, particularly in managing uncertainties and enhancing market efficiency.

Innovative Research Projects:

Ms. Khandelwal’s project on a current-sensitivity-based OPF framework for active distribution networks demonstrates her ability to contribute cutting-edge solutions to complex problems in power systems. Her work on an aggregator-DNO framework for high DER penetration further highlights her commitment to advancing smart grid technologies.

Professional Experience and Impact:

Her professional experience includes roles as a Graduate Engineer Trainee at Kamal Cogent Energy and an intern at TISHITU Research & Consultancy. Her involvement in green building design and sustainable practices, as well as her work on a micro-controller based solar tracker, showcases her practical experience and ability to apply theoretical knowledge to real-world applications.

Publication Top Notes:

  • Title: Virtual Power Plant (VPP) Scheduling with Uncertain Multiple Locational Marginal Prices
    • Citations: 4
    • Year: 2022
  • Title: State-of-Art on Flexibility Services in Electricity Markets
    • Citations: 4
    • Year: 2018
  • Title: Profit Based Self Scheduling of Virtual Power Plant Under Multiple Locational Marginal Prices
    • Citations: 3
    • Year: 2018
  • Title: Current Sensitivity Based OPF Framework for Active Distribution Network
    • Year: 2024
  • Title: Electro-Thermal Resource Interaction to Accommodate Inevitable Uncertain Events of Distribution Network
    • Year: 2023