Prof. Rabil Ayazoglu | Communication Technology Award | Best Researcher Award

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Prof. Rabil Ayazoglu | Communication Technology Award | Best Researcher Award

Prof. Rabil Ayazoglu, Bayburt University, Turkey

Prof. Rabil Ayazoglu, currently a Professor at Bayburt University, Turkey, boasts an impressive academic journey in Mathematics. 🎓 He earned his Ph.D. (1984-1988) and Master’s (1981-1984) from Azerbaijan University of Architecture and Construction under the mentorship of Allahveren Cebrayılov, focusing on Integral Representations of Functions. 📚 Prof. Ayazoglu’s career spans numerous prestigious roles, including professorships at Bayburt University (2013-present) and Dicle University (2007-2011), and earlier positions at the Azerbaijan University of Architecture and Construction and Azerbaijan Technical University. 📖 He also contributes to the academic community as an editor for Probe – Mathematics Mathematical Sciences and Transactions Issue Mathematics at the National Academy of Sciences of Azerbaijan.

Professional Profile:

Google scholar

🎓 Education:

  • Ph.D. in Mathematics, Azerbaijan University of Architecture and Construction (1984-1988)
    • Thesis: Integral Representations of Functions and Embedding Theorems in Function Spaces
    • Advisor: Allahveren Cebrayılov
  • Master’s Degree in Mathematics, Azerbaijan University of Architecture and Construction (1981-1984)
    • Thesis: Integral Representations of Functions
    • Advisor: Allahveren Cebrayılov

🎓 Academic Titles:

  • Professor, Bayburt University, Faculty of Education (2013-present)
  • Professor, Dicle University, Faculty of Science, Department of Mathematics (2007-2011)
  • Associate Professor, Dicle University, Faculty of Science, Department of Mathematics (2003-2007)
  • Associate Professor, Azerbaijan University of Architecture and Construction, Department of Mathematics (1998-2003)
  • Assistant Professor, Azerbaijan University of Architecture and Construction, Department of Mathematics (1990-1998)
  • Research Assistant, Azerbaijan University of Architecture and Construction, Department of Mathematics (1984-1990)
  • Specialist, Azerbaijan Technical University (1979-1981)

📚 Editorial Positions:

  • Editor, Probe – Mathematics Mathematical Sciences, Universe Scientific Publishing
  • Editor, Transactions Issue Mathematics, Institute of Mathematics and Mechanics, National Academy of Sciences of Azerbaijan (since 2022)

Publication Top Notes:

  1. Title: Existence and multiplicity of the solutions of the p (x)–Kirchhoff type equation via genus theory
    Cited by: 67
  2. Title: Hardy’s inequality in power-type weighted Lp (⋅)(0,∞) spaces
    Cited by: 58
  3. Title: Existence of solutions of the parabolic variational inequality with variable exponent of nonlinearity
    Cited by: 56
  4. Title: Existence and multiplicity of weak solutions for nonuniformly elliptic equations with nonstandard growth condition
    Cited by: 53
  5. Title: The Nehari manifold approach for Dirichlet problem involving the p (x)-Laplacian equation
    Cited by: 46

 

 

 

 

Dr. Reza Serajian | Technology and Communication Awards | Best Researcher Award

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Dr. Reza Serajian | Technology and Communication Awards | Best Researcher Award

Dr. Reza Serajian, University of California Merced, United States

Dr. Reza Serajian holds a Ph.D. in Mechanical Engineering from UC Merced and an M.Sc. from UC Riverside. With expertise in CAD tools like SOLIDWORKS and analysis software such as ANSYS, his research interests lie in precision agriculture. He aims to revolutionize farming practices with advanced sensors for soil and plant health monitoring, alongside innovative mechanical harvesting systems for tree crops. Reza’s experience spans from contributing to agricultural machinery design projects as a Research Assistant to ensuring product quality as a Quality Control Engineer at USIRCO LLC. His comprehensive understanding of mechanical engineering principles coupled with practical experience equips him to tackle real-world challenges effectively.

Professional Profile:

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🎓 Education:

Reza holds a Ph.D. in Mechanical Engineering from the University of California, Merced, and an M.Sc. in Mechanical Engineering from the University of California, Riverside. His academic background, coupled with extensive practical experience, equips him with a comprehensive understanding of mechanical engineering principles and their real-world applications.

🛠️ Skills:

Reza possesses a diverse skill set including proficiency in CAD tools like SOLIDWORKS, CATIA, and FUSION 360, as well as analysis software such as ANSYS and MATLAB. His expertise extends to data analysis, technical documentation, and innovative problem-solving. Additionally, he demonstrates strong leadership capabilities, effective team collaboration, and in-depth knowledge of mechanical engineering principles.

👨‍🔬 Professional Experience:

As a Research Assistant at UCM, Reza contributed to projects focused on the design and fabrication of agricultural machinery and nonlinear control of robotic manipulators. His role involved designing controllers, conducting field testing, and analyzing performance under various conditions. Prior to this, he served as a Quality Control Engineer at USIRCO LLC, ensuring product quality and compliance with industry standards.

📚 Research Focus:

Dr. Reza Serajian is a pioneering researcher delving into the realm of precision agriculture 🌱 His focus spans from developing advanced sensors for monitoring soil and plant health to designing innovative mechanical harvesting systems tailored for tree crops 🌳 With a keen interest in mechanization and automation, Dr. Serajian aims to revolutionize farming practices, ensuring efficiency and sustainability for future generations 🚜✨

🏆 Patents:

Reza has contributed to innovative technologies, including a patented produce pickup system designed to enhance efficiency and reliability. This invention reflects his dedication to advancing mechanical engineering solutions and addressing industry challenges.

🚆 Research and Internship Experience:

During his academic journey, Reza gained valuable experience as a Research Assistant at KNTU, where he focused on train derailment stability design and analysis. Additionally, he interned at Karaj Rebuilding Locomotive Co., where he worked on brake system design and dynamical system stress analysis, further honing his practical skills and expertise.

📚 Publication Impact and Citations :

Scopus Metrics:

  • 📝 Publications: 162 documents indexed in Scopus.
  • 📊 Citations: A total of 5,827 citations for his publications, reflecting the widespread impact and recognition of Dr. Reza Serajian’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 10535 📖
    • h-index: 47  📊
    • i10-index: 138 🔍
  • Since 2018:
    • Citations: 5984 📖
    • h-index: 36 📊
    • i10-index: 94 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publication Top Notes:

 

 

 

 

 

Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

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Dr. kiomars sabzevari | Technology and Communication Award | Best Researcher Award

Dr. kiomars sabzevari, Technical and Vocational University, Iran

Dr. Kiomars Sabzevari, Ph.D., is an Assistant Professor of Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran. He earned his doctoral degree in Electrical Engineering from Azad University, Kermanshah, Iran, focusing on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks. Kiomars specializes in microgrids, stochastic power systems planning and optimization, renewable generation, and stability analysis. He is actively engaged in research and teaching at TVU, leveraging his expertise in optimization, algorithms, and programming using tools like MATLAB, GAMS, and LaTeX to drive advancements in electrical power systems. 🌟

Professional Profile:

Google Scholar

🎓 Education:

Kiomars Sabzevari holds a Ph.D. in Electrical Engineering from Azad University, Kermanshah, Iran. His doctoral thesis focused on modeling, operational analysis, and intelligent control strategies for inverter-based distributed generations in microgrid networks, with a specialization in power generation using Pareto optimization.

🔍 Research Interests:

As an Assistant Professor in Electrical Power Engineering at the Technical and Vocational University (TVU) in Tehran, Iran, Kiomars specializes in microgrids, stochastic power systems planning and optimization, optimization methods and algorithms, uncertainty modeling, renewable generation, and stability analysis.

💼 Professional Affiliation:

Kiomars is affiliated with the Department of Electrical Engineering at TVU, where he actively contributes to research and teaching endeavors in the field of electrical power systems.

🖥️ Skills & Programming:

With proficiency in optimization, algorithms, programming, and teaching, Kiomars is adept at utilizing tools such as MATLAB, GAMS, LaTeX, and various educational software to advance his research and educational initiatives.

Publications Top Notes :

  1. Modified droop control for improving adaptive virtual impedance strategy for parallel distributed generation units in islanded microgrids
    • Published in International Transactions on Electrical Energy Systems in 2019.
    • Cited by 24 articles.
  2. A novel partial transient active-reactive power coupling method for reactive power sharing
    • Published in International Journal of Electrical Power & Energy Systems in 2019.
    • Cited by 8 articles.
  3. The modeling of UPFC based on circuit elements in an exact transmission line model
    • Published in International Journal of Engineering in 2010.
    • Cited by 8 articles.
  4. Active power filter module function to improve power quality conditions using GWO and PSO techniques for solar photovoltaic arrays and battery energy storage systems
    • Published in Journal of Energy Storage in 2023.
    • Cited by 7 articles.
  5. Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults
    • Published in Scientific Reports in 2023.
    • Cited by 2 articles.