Ebrahim Amer | Environmental Research | Best Researcher Award

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Dr. Ebrahim Amer | Environmental Research | Best Researcher Award

Dr. Ebrahim Amer | Huaqiao University | China

Dr. Amer Ebrahim is a distinguished researcher whose scholarly work significantly advances the understanding of environmental sustainability, energy economics, and climate policy. His research primarily focuses on the dynamic relationship between energy consumption, economic growth, and carbon emissions, particularly in the Gulf Cooperation Council (GCC) countries. Through publications in prestigious international journals such as the Journal of Cleaner Production, Journal of Environmental Management, Sustainable Futures, PLOS ONE, and Heliyon, Dr. Ebrahim has contributed empirical insights into pressing global challenges, including the balance between economic progress and environmental preservation. His studies employ robust econometric and modeling approaches to explore decoupling trends between energy use and CO₂ emissions, offering valuable policy implications for achieving sustainable development goals. With 99 citations and an h-index of 3, his research demonstrates growing academic recognition and influence in the field. In recognition of his contributions, Dr. Ebrahim has received multiple awards, including first-class distinctions from the Academy of Innovation, Entrepreneurship, and Knowledge, and the Yemeni Embassy in Beijing, honoring his outstanding achievements in scientific publishing and research excellence. His active participation in scholarly and community organizations, such as the Yemeni Students’ Union and the Constitutional Administrative Law Research Association, underscores his leadership and collaborative spirit. Dr. Ebrahim’s consistent publication record, research impact, and commitment to advancing sustainable energy policies make him an exemplary candidate for the Best Researcher Award, reflecting his dedication to addressing global environmental and economic challenges through innovative and evidence-based scientific inquiry.

Profile: Scopus  |  ORCID  |  ResearchGate

Featured Publications

Ebrahim, A. A. A. A., Zhang, X., Meyad, E. M. A., Alariqi, M., Abdelwahed, A., Alareqi, M. M., & Bather, S. M. H. (2025, November). Balancing progress and sustainability: Exploring the joint influences of oil consumption and economic growth on CO₂ emissions: An empirical study of GCC countries. Journal of Environmental Management.

Ebrahim, A. A. A. A., Zhang, X., Meyad, E. M. A., Alareqi, M. M., Bather, S. M. H., & Abdelwahed, A. (2025, September). Decoupling or dependency? Investigating the joint effects of natural gas consumption and economic growth on carbon dioxide emissions in Gulf Cooperation Council countries. Journal of Cleaner Production.

Ebrahim, A. A. A. A., Zhang, X., Meyad, E. M. A., Alareqi, M. M., Bather, S. M. H., & Abdelwahed, A. (2025, June). Urbanization, growth, and carbon footprints: A GCC perspective on sustainable development. Sustainable Futures.

Ebrahim, A. A. A. A., Iyoboyi, M., Zhang, X., Meyad, E. M. A., Meyad, A. M., Mohsin, A. K. M., & Rahman, A. (2024, November 21). The long-term relationship between oil price changes and economic growth from the perspective of the resource curse: An empirical study from Yemen. PLOS ONE.

Ebrahim, A. A. A. A., Meyad, E. M. A., Meyad, A. M., & Mohsin, A. K. M. (2024, May). Impacts of renewable and disaggregated non-renewable energy consumption on CO₂ emissions in GCC countries: A STIRPAT model analysis. Heliyon.

Miao Wu | Invasion Ecology | Best Researcher Award

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Dr. Miao Wu | Invasion Ecology | Best Researcher Award

Postdoctoral Research Fellow | Henan University of Urban Construction | China

Dr. Miao Wu is a Postdoctoral Research Fellow at Henan University of Urban Construction, China, specializing in plant invasion ecology, allelopathy, and aquatic ecosystem restoration. Her research primarily explores the allelopathic mechanisms of invasive plant species and their ecological impacts, focusing on how bioactive compounds released by these plants influence native biodiversity and aquatic systems. Dr. Wu’s pioneering work investigates the allelopathic potential of invasive species such as Solidago canadensis, revealing key metabolites that suppress harmful cyanobacteria like Microcystis aeruginosa. Her study, published in the Journal of Hazardous Materials, introduces an innovative and eco-friendly approach for controlling algal blooms, offering a sustainable alternative to conventional chemical treatments. She has successfully completed and participated in research projects related to plant invasion ecology, ecological risk assessment, and the development of biocontrol strategies for aquatic environments. Dr. Wu’s interdisciplinary collaborations include partnerships with the Department of Environmental Engineering at Henan University and local ecological management authorities, enhancing the practical applications of her research in ecosystem restoration. As a member of the Ecological Society of China and its Wetland Ecology and Biological Invasion Professional Committees, she actively contributes to advancing ecological science and sustainable management practices. Her research, cited in 8 documents with an h-index of 2, reflects a growing international recognition for its scientific rigor and applied environmental significance. Through her dedication to bridging fundamental plant ecology with real-world environmental solutions, Dr. Miao Wu continues to advance innovative strategies for ecological restoration and biodiversity conservation.

Profile:  Scopus  |  ORCID

Featured Publications

Wu, M.,. (2025). Genome-wide identification of R2R3-MYB transcription factor family in Styphnolobium japonicum and their functional roles in flavonoid biosynthesis during flower development. Industrial Crops and Products.

Pouya Ghadesi | Earth Science | Best Researcher Award

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Mr. Pouya Ghadesi | Earth Science | Best Researcher Award

Mr. Pouya Ghadesi | University of Mohaghegh Ardabili | Iran

Mr. Pouya Ghadesi is a dedicated researcher in the field of mechatronics and artificial intelligence. He earned his Bachelor of Science in Mechanical Engineering and Master of Science in Mechatronics from the University of Mohaghegh Ardabili, Iran. His research interests include deep learning, neural networks, image processing, machine learning, and object detection. As an independent researcher, he has contributed to projects involving advanced frameworks such as MobileNetV3 and optimization algorithms, with applications in land-use classification. His work emphasizes innovation, model design, data validation, and publication of impactful research in high-quality scientific journals.

Professional Profile

Google Scholar

Academic and Professional Background

Mr. Pouya Ghadesi is a passionate researcher specializing in mechatronics and artificial intelligence with a strong academic foundation in mechanical engineering and mechatronics from the University of Mohaghegh Ardabili, Iran. His scholarly interests span deep learning, neural networks, image processing, machine learning, and object detection. As an independent researcher, he has actively contributed to the development of advanced frameworks and optimization methods, particularly focusing on applications in land-use classification. His efforts in model design, data analysis, experimental validation, and scholarly writing highlight his dedication to advancing scientific knowledge and producing impactful research within the global academic community.

Research Focus

Mr. Pouya Ghadesi is an emerging researcher whose work centers on the integration of mechatronics and artificial intelligence, with a particular emphasis on deep learning, machine learning, neural networks, and image processing. His research explores advanced approaches to machine vision and object detection, aiming to improve accuracy and efficiency in practical applications. He has contributed to the design and implementation of innovative frameworks that combine optimization methods with intelligent models, demonstrating his ability to address complex computational challenges. His focus reflects a commitment to advancing intelligent systems that can support real-world technological and scientific development.

Publication Top Notes

Improving accuracy of land-use classification through MobileNetV3 and Greedy Osprey Optimization

Year: 2025 | Cited by: 1

Conclusion

Mr. Pouya Ghadesi is a promising researcher with a strong background in mechanical engineering and mechatronics, focusing on artificial intelligence, machine learning, and image processing. His innovative work on the MobileNetV3 framework with the Greedy Osprey Optimization algorithm demonstrates both creativity and technical skill in land-use classification. Although at an early career stage, he shows great potential for impactful contributions, with opportunities to expand publications, international collaborations, and industrial applications, making him a strong candidate for the Best Researcher Award.