Elnaz Yaghoubi | power system analysis | Best Researcher Award

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:

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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

Dr. Mehdi Jafari Matehkolaee | Mathematical Physics | Best Researcher Award

Dr. Mehdi Jafari Matehkolaee | Mathematical Physics | Best Researcher Award

Dr. Mehdi Jafari Matehkolaee, Amirkabir university of technology, Iran

Mehdi Jafari Matehkolaee, born on August 11, 1982, in Sari-Mazandaran, Iran, is a distinguished theoretical physicist. He earned his Bachelor’s and Master’s degrees in Physics from Shahroud Industrial University and completed his Ph.D. in Theoretical Physics at Semnan University. Dr. Matehkolaee later pursued a Postdoctoral fellowship at Amirkabir University of Technology, further deepening his expertise. His research focuses on quantum mechanics, exploring algebra, nonlinear operators, and the behavior of particles near black holes. Additionally, Dr. Matehkolaee is a recognized reviewer for renowned journals like Physica Scripta and American Journal of Physics. He has actively contributed to numerous conferences and workshops across Iran. His passion for advancing quantum mechanics theory has earned him recognition in both academic and research communities.

Professional Profile 

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Summary of Suitability for the Research for Best Researcher Award:

Mehdi Jafari Matehkolaee’s academic background, including a Ph.D. in Theoretical Physics and a postdoctoral position at Amirkabir University of Technology, is complemented by substantial research in quantum mechanics and its mathematical foundations. His research interests focus on highly specialized areas like algebra and analysis in quantum mechanics, non-linear operators, quantum particle behavior near black holes, and the GZK equation in curved space. These contributions are cutting-edge in theoretical physics, demonstrating his ability to tackle complex and fundamental scientific problems.

Education 

Mehdi Jafari Matehkolaee began his academic journey at Shahroud Industrial University, where he completed his Bachelor’s degree in Physics. His passion for the intricacies of the natural world led him to continue his studies at the same institution, where he earned his Master’s degree in Physics. He further advanced his academic pursuits by obtaining a Ph.D. in Theoretical Physics from Semnan University. His doctoral research primarily focused on quantum mechanics, nonlinear operators, and mathematical structures within this domain. After completing his Ph.D., Dr. Matehkolaee secured a prestigious Postdoctoral position at Amirkabir University of Technology, a leading institution in Iran. His educational background laid the foundation for his notable contributions to understanding quantum mechanics and its mathematical underpinnings. Throughout his academic career, Dr. Matehkolaee has continually strived for excellence, pushing the boundaries of theoretical physics.

Experience 

Dr. Mehdi Jafari Matehkolaee’s academic career spans various roles, including significant research and teaching positions. After completing his Ph.D., he was appointed as a Postdoctoral researcher at Amirkabir University of Technology, where he conducted advanced research on quantum mechanics, nonlinear operators, and algebraic structures. Throughout his career, Dr. Matehkolaee has been an active participant in various prestigious conferences and workshops. He is also a highly sought-after peer reviewer, having evaluated manuscripts for journals such as American Journal of Physics, Journal of Physics Communications, and Physica Scripta. His research has culminated in numerous publications, contributing new insights to the field of theoretical physics. In addition to his academic commitments, Dr. Matehkolaee has been dedicated to mentoring young researchers and contributing to the global physics community through active collaboration and knowledge dissemination.

Awards and Honors 

Dr. Mehdi Jafari Matehkolaee has received recognition for his outstanding contributions to the field of theoretical physics. His work on quantum mechanics and algebraic structures has earned him accolades from both academic and research institutions. In 2017, he was appointed as a reviewer for the prestigious American Journal of Physics, recognizing his expertise and leadership in the field. Since 2022, he has also served as a reviewer for Physica Scripta and The Physics Teacher, further solidifying his position as an influential figure in theoretical physics. Dr. Matehkolaee’s work has been featured in conferences, and his contributions to understanding quantum phenomena have been widely acknowledged. His role as a postdoctoral researcher at Amirkabir University of Technology is a testament to his academic excellence and dedication to advancing the frontiers of physics.

Research Focus 

Dr. Mehdi Jafari Matehkolaee’s research is at the forefront of quantum mechanics, delving into the algebra and analysis of quantum systems. He explores the mathematical structures foundational to quantum mechanics, with a focus on nonlinear observables and operators. A significant part of his work involves analyzing the behavior of particles near black holes and addressing fundamental questions within the GZK equation in curved space. His theoretical investigations also include exploring the nonlinear aspects of quantum systems, where his findings have led to groundbreaking insights. Dr. Matehkolaee’s research aims to deepen the understanding of quantum mechanics’ complex systems, particularly in the context of non-linear operators and curved space dynamics. His work continues to push the boundaries of quantum theory, making significant contributions to the field.

Publication Top notes

The Review on the Charge Distribution on the Conductor Surface
Cited by: 9
Representation of the inverse momentum operator in curved space
Cited by: 8
Introduction of Atwood’s machines as Series and Parallel networks
Cited by: 8
Deriving the Generalized Momentum Operators from Covariant Derivatives
Cited by: 3
Introducing the general condition for an operator in curved space to be unitary
Cited by: 3