Masoud Rashidinejad | Energy | Best Researcher Award

Best Researcher Award

Masoud Rashidinejad
SBUK

Masoud Rashidinejad
Affiliation SBUK
Country Iran
Scopus ID 18437999400
Documents 228
Citations 4,542
h-index 38
Subject Area Energy
Event International Invention Awards
ORCID 0000-0002-3046-7088

Masoud Rashidinejad is an academic researcher associated with SBUK and identified with research in the field of energy. His scholarly profile includes 228 indexed documents, 4,542 citations, and an h-index of 38, according to the supplied Scopus bibliometric information. His research profile provides a basis for examining scholarly productivity, publication visibility, and contributions to energy-related research. This article presents an overview of his academic profile, research activities, publication record, research impact, and relevance to recognition through the Best Researcher Award at the International Invention Awards. [1]

Abstract

Masoud Rashidinejad is an academic researcher whose scholarly profile is associated with energy research and an affiliation identified as SBUK in the supplied information. His Scopus record reports 228 documents, 4,542 citations, and an h-index of 38. These bibliometric indicators provide a quantitative overview of publication productivity and citation visibility within indexed scholarly literature. Research in energy encompasses technological, analytical, and interdisciplinary approaches to energy systems, sustainability, efficiency, and resource management. This article summarizes the researcher’s academic profile, research contributions, publications, and scholarly impact in the context of the Best Researcher Award and International Invention Awards. [1]

Keywords

Masoud Rashidinejad; energy research; energy systems; energy engineering; academic research; scholarly publications; bibliometrics; citation impact; h-index; scientific productivity; research recognition; International Invention Awards.

Introduction

Energy research is an interdisciplinary scientific field concerned with energy production, conversion, distribution, utilization, and sustainability. Advances in this area support the development of efficient energy technologies, improved resource management, and solutions to contemporary energy challenges. Academic researchers contribute through theoretical investigation, experimental studies, modeling, and technological development. Masoud Rashidinejad’s academic profile is associated with this research domain, with bibliometric information providing an overview of his indexed scholarly output and citation activity. [1]

Research Profile

Masoud Rashidinejad is identified in the supplied academic information as affiliated with SBUK and associated with Iran. His primary subject area is energy, a discipline encompassing research on energy systems, engineering applications, technological innovation, and resource utilization. His Scopus author identifier provides a bibliographic reference for examining indexed publications and citation activity. The reported academic indicators offer a quantitative representation of his scholarly profile and research visibility. [1]

Research Contributions

Energy research contributes to the development of scientific knowledge and technological solutions for improving energy systems and addressing resource-related challenges. Research in this domain may involve optimization, modeling, engineering analysis, renewable energy technologies, and energy management. Masoud Rashidinejad’s identified subject area situates his academic profile within this broader field. Specific research contributions should be understood through individual publications, documented methodologies, and their reported findings rather than inferred solely from subject classifications. [1]

Publications

The supplied Scopus profile reports 228 scholarly documents associated with Masoud Rashidinejad. This publication record provides a foundation for examining his research activity across energy-related topics and scholarly communication channels. Publication analysis may include research articles, conference papers, collaborative works, and other indexed contributions. A detailed assessment of individual publications requires consideration of article titles, journal information, research methodologies, co-authorship, and the scientific findings reported in each document. [1]

Research Impact

The bibliometric information supplied for Masoud Rashidinejad includes 4,542 citations and an h-index of 38. Citation counts indicate the recorded frequency with which scholarly documents are referenced by other publications, while the h-index combines publication productivity and citation distribution. These indicators provide useful measures of academic visibility and influence within indexed literature. However, bibliometric values alone cannot fully establish research quality, originality, or practical significance and should be interpreted alongside the substance and context of individual scholarly contributions. [1]

Award Suitability

The Best Researcher Award provides a context for recognizing scholarly productivity, scientific contributions, and academic engagement. Masoud Rashidinejad’s reported publication record, citation activity, and energy-related research profile offer relevant information for consideration in an academic recognition framework. A comprehensive award assessment would also examine originality, research quality, methodological rigor, technological relevance, and documented contributions to the field. The profile summarizes bibliometric and disciplinary information without independently asserting award eligibility, nomination status, or selection outcomes. [1] [2]

Conclusion

Masoud Rashidinejad’s academic profile reflects substantial indexed scholarly activity within the energy research domain. The supplied bibliometric indicators of 228 documents, 4,542 citations, and an h-index of 38 provide a quantitative overview of publication productivity and citation visibility. These indicators establish a useful foundation for understanding the researcher’s academic record, while the evaluation of individual research contributions remains essential for determining scientific significance. His research profile is relevant to academic recognition discussions associated with energy research and the Best Researcher Award. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Masoud Rashidinejad, Author ID 18437999400.
    https://www.scopus.com/authid/detail.uri?authorId=18437999400
  2. International Invention Awards. (2026.). Official Award Website.
    https://inventionawards.org/
  3. Journal article. (2025. ) A sustainable energy management model for nearly zero energy smart homes: A multi-objective information gap decision theory approach.
    https://doi.org/10.1016/j.egyr.2025.10.029
  4. Journal article. (2025. ) ResearchGate – Scientific Research Network.
    https://doi.org/10.1016/j.apenergy.2025.125997

Mohammad Kazeminejad | Energy | Best Researcher Award

Best Researcher Award

Mohammad Kazeminejad
Islamic Azad University

Mohammad Kazeminejad
Affiliation Islamic Azad University
Country Iran
Scopus ID 24463550300
Documents 12
Citations 69
h-index 5
Subject Area Energy
Event International Invention Awards
ORCID 0000-0002-6734-0873

Mohammad Kazeminejad is an Iranian academic and researcher affiliated with the Islamic Azad University, Aliabad Katoul Branch. His research focuses on electrical power systems, renewable energy technologies, voltage stability, distributed generation, and intelligent optimization methods. His scholarly contributions address challenges in electricity distribution networks, energy resource allocation, and the integration of renewable energy sources. His research profile reflects interdisciplinary applications of electrical engineering and energy systems. With documented publications and research activity, he contributes to ongoing investigations into power system reliability, operational efficiency, and sustainable energy development. [1]

Abstract

Mohammad Kazeminejad is an Iranian researcher affiliated with Islamic Azad University, Aliabad Katoul Branch, whose academic work focuses on electrical engineering and energy systems. His research addresses power system stability, distributed generation, renewable energy integration, hybrid energy systems, and optimization techniques. His publications investigate methods for improving electricity distribution network performance, reducing energy losses, and enhancing voltage stability. His scholarly contributions combine computational approaches with practical energy engineering applications. With a reported Scopus record of 12 documents, 69 citations, and an h-index of 5, his research profile provides a basis for evaluating his academic contributions within the energy research field. [1]

Keywords

Mohammad Kazeminejad; energy systems; electrical engineering; renewable energy; power system stability; distributed generation; hybrid energy systems; voltage stability; smart grids; photovoltaic systems; wind energy; battery storage; optimization algorithms; electricity distribution networks.[1]

Introduction

Modern energy systems require reliable electricity distribution, efficient resource utilization, and improved integration of renewable energy technologies. Power system stability and distributed generation are important research areas because increasing energy demand and renewable energy penetration create new operational challenges. Mohammad Kazeminejad’s academic work addresses these issues through electrical network analysis, computational modelling, and optimization-based approaches. His research contributes to the investigation of technical methods for improving electricity system performance and supporting sustainable energy applications. [2]

Research Profile

Mohammad Kazeminejad is affiliated with the Department of Electrical Engineering at the Aliabad Katoul Branch of Islamic Azad University, Iran. His academic qualifications include a bachelor’s degree in electrical engineering from Zanjan University, a master’s degree from Shahid Chamran University of Ahvaz, and a doctoral degree from Shahrood University of Technology. His research interests include power system analysis, renewable energy systems, voltage stability, and smart grids. \[1\]

Research Contributions

Renewable energy system optimization represents another significant research direction. His collaborative work investigates the economic design of standalone photovoltaic-wind hybrid energy systems integrated with battery storage. By applying an Artificial Electric Field Algorithm, the study evaluates system configurations under economic and reliability constraints. This research contributes to the technical assessment of hybrid renewable energy solutions for electricity supply applications. \[4\]

Publications

Kazeminejad’s publication record includes research articles addressing power system stability, distributed generation, renewable energy integration, and energy optimization. His collaborative publications appear in scientific journals and engineering conference proceedings. The selected works below illustrate the methodological and thematic range of his research activities in electrical engineering and energy systems. [1]

Research Impact

The academic impact of Kazeminejad’s research can be considered through publication activity, citation records, and the relevance of his research topics to electrical engineering. According to the Scopus profile information supplied for this article, his record includes 12 documents, 69 citations, and an h-index of 5. These bibliometric indicators provide quantitative measures of indexed research output and citation activity. Such values may change as additional publications and citations are incorporated into bibliographic databases. [5]

Award Suitability

The Best Researcher Award recognises academic contributions, research productivity, scientific relevance, and contributions to the advancement of knowledge. Kazeminejad’s research activities in power system stability, distributed generation, and renewable energy optimization provide relevant areas for consideration within the energy research field. His published studies demonstrate the application of engineering methodologies to technical challenges associated with electricity networks and sustainable energy systems. [2]

Conclusion

Mohammad Kazeminejad’s academic profile reflects research activity in electrical engineering and energy systems, with particular attention to power system stability, distributed generation, renewable energy technologies, and optimization methods. His publications demonstrate the application of analytical and computational approaches to electricity network performance and sustainable energy planning. His reported bibliometric indicators and documented scholarly contributions provide a foundation for evaluating his research activities in connection with the Best Researcher Award category of the International Invention Awards. His work contributes to ongoing academic discussions concerning reliable, efficient, and sustainable energy systems.[1]

References

  1. ORCID. (n.d.). Mohammad Kazeminejad: Researcher Profile and Academic Information. ORCID.
    https://orcid.org/0000-0002-6734-0873
  2. Journal article (2026.) Uncertainty-Aware Optimization of a Hybrid Energy System Combining Hydrogen and Biomass Based on an Enhanced Sinh Cosh Optimizer with a Diversity-Preserving Mechanism.
    https://doi.org/10.1016/j.rineng.2026.113804
  3. Journal article (2024. ) Reconfiguration of distribution network-based wind energy resource allocation considering time-varying load using hybrid optimization method.
    https://doi.org/10.1177/0309524X24124723
  4. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/
  5. Elsevier. (n.d.). Scopus author details: Mohammad Kazeminejad, Author ID 24463550300.
    https://www.scopus.com/authid/detail.uri?authorId=24463550300

Giurgi Gavril-Ionel | Photovoltaic Cells | Research Excellence Award

Dr. Giurgi Gavril-Ionel | Photovoltaic Cells | Research Excellence Award

National Institute for Research and Development of Isotopic and Molecular Technologies, Romania

Dr. Giurgi Gavril-Ionel is a researcher specializing in chemistry and renewable energy technologies, with a strong focus on the design, fabrication, and characterization of organic solar cells. He holds advanced academic qualifications in chemistry and electronics engineering, complemented by a solid foundation in applied electronics. He currently serves as a Research Assistant, contributing to European-funded projects aimed at advancing organic solar cell technologies through experimental development, system modeling, and prototype optimization. His work includes designing flexible solar cell devices, conducting performance and stability testing, and integrating low-power electronic systems for practical applications. He has expertise in simulation tools such as MATLAB/Simulink to predict device behavior and enhance system efficiency. In addition to his research role, he has prior experience as a maintenance engineer and electronics technician, providing technical support for IT systems and electronic equipment. He has demonstrated leadership through participation in entrepreneurial programs and achieving recognition in innovation-focused competitions. He has also presented his research at international conferences, highlighting advancements in photovoltaic systems and organic solar cell technologies.

Citation Metrics (Scopus)

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Citations
113

Documents
12

h-index
4

Citations

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View Scopus Profile

Featured Publications

 

Oussama Khouili | Energy | Excellence in Research Award

Mr. Oussama Khouili | Energy | Excellence in Research Award

National School of Scientific Applications, Morocco

Mr. Oussama Khouili is a PhD student at ENSA El Jadida, Chouaib Doukkali University, specializing in the integration of Artificial Intelligence and Renewable Energy with a focus on solar irradiance forecasting and photovoltaic system optimization. His research develops advanced Machine Learning and Deep Learning models, including ShuffleNet, CNNs, physics-guided networks, PCA-based transformations, FFT techniques, and metaheuristic optimization algorithms such as Particle Swarm Optimization. He has completed and is leading multiple projects on solar prediction accuracy, feature selection methods, smart grid technologies, and AI-driven renewable energy solutions. He has authored peer-reviewed articles in prestigious SCI and Scopus-indexed journals including Energy Strategy Reviews, International Journal of Energy Research, and IEEE Power Electronics Magazine, with 29 citations and an h-index of 2. He has also published four ISBN-indexed book chapters on AI applications in renewable energy and environmental management systems such as ISO 14001. Recognized with a Research Excellence Award, he actively contributes as an independent reviewer and collaborates internationally to bridge advanced computational intelligence with sustainable energy solutions addressing global climate challenges.

Citation Metrics (Scopus)

25
20
15
10
5
0

Citations
23

Documents
9

h-index
2

Citations

Documents

h-index

View Scopus Profile

Featured Publications

 

Prof. Dr. Chao Lyu | Energy | Best Researcher Award

Prof. Dr. Chao Lyu | Energy | Best Researcher Award

Harbin Institute of Technology, China.

Prof. Chao Lyu is a distinguished scholar and researcher in electrical engineering, specializing in battery modeling, battery health management, and microgrid optimization. He is a Professor and Doctoral Supervisor at the Harbin Institute of Technology and a Senior Member of IEEE. With a strong academic background and over 50 research publications in international journals and conferences, Prof. Lyu has made significant contributions to the field of energy storage systems and lithium-ion battery technology. His expertise extends to fault diagnosis, performance evaluation, and optimization control methods for energy storage batteries, shaping advancements in sustainable energy solutions.

Profile

Scopus

Google Scholar

🎓 Education

Prof. Chao Lyu holds a strong academic foundation in electrical engineering. He earned his B.Eng. in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 2001, followed by an M.Sc. in Electrical Engineering from the same institution in 2004. His pursuit of advanced research led him to complete a Ph.D. in Electrical Engineering at Harbin Institute of Technology, China, in 2007. His academic journey has equipped him with extensive expertise in battery modeling, energy storage systems, and microgrid optimization, laying the groundwork for his impactful research and contributions to the field.

💼 Professional Experience

Prof. Chao Lyu is a Professor and Doctoral Supervisor at Harbin Institute of Technology, where he leads research in battery modeling, energy storage systems, and microgrid optimization. As a Senior Member of IEEE, he actively contributes to advancements in electrical engineering and battery technology. Beyond academia, he serves as a researcher and consultant, collaborating with State Grid Corporation of China and Guangdong Power Grid Co., Ltd on industry-driven projects focused on battery fault diagnosis, performance evaluation, and optimization control. His work bridges the gap between research and real-world applications, driving innovation in sustainable energy solutions.

🔬 Research Interests

Battery Modeling & Testing 🔋

Battery Health Management & Fault Diagnosis ⚡

Microgrid Optimization with Energy Storage 🏭

Lithium-ion Battery Performance & Safety 🔍

Artificial Intelligence for Battery Management 🤖

🏆 Awards & Recognitions

Senior Member, IEEE

Recognized Expert in Battery Technology & Microgrid Systems

📚 Selected Publications

Early Internal Short Circuit Diagnosis for Lithium-Ion Battery Packs Based on Dynamic Time Warping of Incremental Capacity – Batteries, 10(11), 378

Concurrent Multi-Fault Diagnosis of Lithium-Ion Battery Packs Using Random Convolution Kernel Transformation and Gaussian Process Classifier – Energy, 306, 132467 (3 citations)

Model-Free Detection and Quantitative Assessment of Micro Short Circuits in Lithium-Ion Battery Packs Based on Incremental Capacity and Unsupervised Clustering – International Journal of Electrochemical Science, 19(10), 100794 (1 citation)

Digital Twin Modeling Method for Lithium-Ion Batteries Based on Data-Mechanism Fusion Driving – Green Energy and Intelligent Transportation, 3(5), 100162 (3 citations)

Optimization of Lithium-Ion Battery Charging Strategies From a Thermal Safety Perspective – IEEE Transactions on Transportation Electrification, 10(2), pp. 2727–2739

 

 

 

Milad Adelifar | Solar energy | Excellence in Research

Mr. Milad Adelifar | Solar energy | Excellence in Research

Research Scholar, K. N. Toosi University of Technology, Iran

Milad Adelifar is a highly motivated Mechanical Engineer with a strong academic background and a keen interest in renewable energy, CFD, and heat transfer analysis. He holds a Master of Science in Mechanical Engineering from K. N. Toosi University of Technology and is proficient in software such as COMSOL Multiphysics and Ansys Fluent. Milad is eager to contribute to innovative research and development projects and aims to continue his studies at the Ph.D. level.

Profile

Google Scholar

Education 🎓

Mr. Milad Adelifar earned a Master of Science in Mechanical Engineering with a focus on Energy from K. N. Toosi University of Technology, Tehran, Iran, completing the program from September 2020 to January 2023. Prior to this, Mr. Adelifar obtained a Bachelor of Science in Mechanical Engineering from Esfarayen University of Technology, Esfarayen, Iran, where he studied from September 2014 to January 2020.

Experience 💼

Mr. Milad Adelifar is currently working as a Mechanical Engineer specializing in Filtration Process Design at JDEVS Company in Tehran, Iran, a position he has held since April 2022.

Research Interests 🔬

Mr. Milad Adelifar’s research interests are centered on Renewable Energy, with a particular emphasis on Solar Energy. He is also deeply engaged in the fields of Computational Fluid Dynamics (CFD) and Heat Transfer Analysis. These areas of focus reflect his commitment to advancing sustainable energy solutions and his expertise in the complex dynamics of fluid behavior and thermal processes.

Publications 📚

Investigating and comparing the effect of angle of attack in two airfoil samples on pressure contours using Ansys Fluent software. Authors: Mohammad Hatami, Milad Adelifar. The 6th National Conference of Applied Researches in Electrical, Mechanical, and Mechatronics Engineering (2020), Iran. link

Investigating the power and efficiency of the 3D model of the concentrated photovoltaic thermoelectric hybrid system and estimating the power consumption of the water pump for cooling. Authors: Milad Adelifar, Cyrus Aghanajafi Energy (2024). link