Zhen Guo | Renewable Energy | Editorial Board Member

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Dr. Zhen Guo | Renewable Energy | Editorial Board Member

Dr. Zhen Guo | Wuhan University of Technology | China

Dr. Zhen Guo is an emerging researcher specializing in intelligent fault diagnosis, deep learning, anomaly detection, and engineering signal processing, with emphasis on developing reliable data-driven methods for modern industrial systems. His work addresses key challenges in rotating machinery, gearboxes, propellers, and wind turbines by integrating advanced machine learning models with domain-specific signal processing techniques to enhance diagnostic accuracy under real-world constraints. Dr. Guo’s research explores multi-scale wavelet decomposition, adaptive feature fusion, and high-dimensional sampling strategies to mitigate multi-level class imbalance and improve the robustness of condition-monitoring frameworks. He has introduced innovative unsupervised anomaly detection approaches using deep convolutional support generative adversarial networks, enabling effective detection in scenarios where labeled data are insufficient or costly. His contributions also include transfer-learning architectures with channel-attention residual networks and LLM-assisted fine-tuning to achieve few-shot fault recognition in complex systems such as autonomous underwater vehicle propellers. Additionally, he has advanced wavelet-random-forest methods for modeling high-dimensional imbalance samples and proposed unified pattern-fusion strategies for mining alarm data in large-scale industrial facilities using adaptive discretization and time-clustering mechanisms. Dr. Guo’s work published in leading journals such as Mechanical Systems and Signal Processing, Scientific Reports, Ocean Engineering, Measurement, and Measurement Science and Technology demonstrates his commitment to bridging the gap between theoretical advances and practical reliability engineering. Supported by competitive research funding, he continues to design predictive frameworks that improve equipment health assessment, Remaining Useful Life estimation, and maintenance decision-making across industrial environments, contributing significantly to the advancement of intelligent diagnostic technologies.

Profile: Scopus | ORCID

Featured Publications

Guo, Z. (2025). Multi-scale wavelet decomposition and feature fusion for rotating machinery fault diagnosis under multi-level class imbalance. Mechanical Systems and Signal Processing.

Guo, Z. (2025). Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network. Scientific Reports, (Published July 1, 2025).

Guo, Z. (2025). Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers. Ocean Engineering.

Guo, Z. (2025). Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest. Measurement.

Guo, Z. (2025). Alarm data mining in complex industrial facilities using adaptive discretization based on time clustering and unified pattern fusion mining. Measurement Science and Technology, (Published January 31, 2025).

Farshad Sadeghpour | Underground Storage | Editorial Board Member

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Mr. Farshad Sadeghpour | Underground Storage | Editorial Board Member

Researcher | Petroleum University of Technology (PUT) | Iran

Farshad Sadeghpour is a geomechanics and reservoir engineering researcher at the Petroleum University of Technology (PUT), known for his contributions to underground gas storage, petrophysics, and CO₂ geological sequestration. He has authored multiple peer-reviewed publications covering geomechanical upscaling, fracture development under stress, anisotropic rock behavior, storage-efficiency modeling, and petrophysical parameter estimation. His current Google Scholar record lists 22 citations, an h-index of 3, and 6 indexed documents, reflecting his growing influence in subsurface engineering. He holds academic training in petroleum engineering from PUT and additional postgraduate research experience from the Islamic Azad University, Science & Research Branch. His research experience includes collaborative studies on elastic property prediction, machine-learning-based evaluation of CO₂ storage feasibility, and advanced triaxial testing for characterizing anisotropic formations. His work demonstrates strong expertise in integrating experimental, computational, and data-driven approaches to solve complex reservoir challenges. His research interests include geomechanics, underground storage, CO₂ sequestration, petrophysical modeling, machine learning, and rock mechanics. Although still early in his career, his contributions indicate promise for impactful advancements in sustainable subsurface energy systems. Overall, Farshad Sadeghpour is an emerging researcher dedicated to improving geological storage, reservoir characterization, and the scientific foundations of low-carbon energy technologies.

Profile: Google Scholar | ORCID

Featured Publications

Sadeghpour, F., Darkhal, A., Gao, Y., Motra, H. B., Aghli, G., & Ostadhassan, M. (2024). Comparison of geomechanical upscaling methods for prediction of elastic modulus of heterogeneous media. Geoenergy Science and Engineering, 239, 212915.

Aghli, G., Aminshahidy, B., Motra, H. B., Darkhal, A., Sadeghpour, F., … (2024). Effect of stress on fracture development in the Asmari reservoir in the Zagros Thrust Belt. Journal of Rock Mechanics and Geotechnical Engineering, 16(11), 4491–4503.

Sadeghpour, F. (2025). Storage efficiency prediction for feasibility assessment of underground CO₂ storage: Novel machine learning approaches. Energy, 324, 136040.

Iranfar, S., Sadeghpour, F., Manshad, A. K., Naderi, M., & Shakiba, M. (2025). An eigenvalue-driven framework for the ranking and selection of optimal geological CO₂ storage sites. Results in Engineering, 106770.

Sadeghpour, F., Motra, H. B., Sethi, C., Wind, S., Hazra, B., Aghli, G., … (2025). Elastic properties of anisotropic rocks using a stepwise loading framework in a true triaxial testing apparatus. Geoenergy Science and Engineering, 251, 213883.

Muhammad Musa Khan | Agricultural Entomology | Editorial Board Member

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Dr. Muhammad Musa Khan | Agricultural Entomology | Editorial Board Member

Associate Researcher | Hainan Institute of Zhejiang University | China

Dr. Muhammad Musa Khan’s research centers on advancing sustainable pest management through a detailed understanding of insecticide toxicology, resistance mechanisms, and the ecological risks posed by pollutants in agricultural systems. His work focuses extensively on major rice pests, particularly the brown planthopper (Nilaparvata lugens), and its natural predator, the rove beetle (Paederus fuscipes), emphasizing their physiological responses to insecticides and environmental contaminants. He investigates how heavy metals and other pollutants influence pest behavior, resistance development, and overall ecosystem stability, offering insights crucial for designing safer and more effective pest control strategies. A significant component of his research explores the role of insect gut microbiota in pesticide degradation, highlighting microbial contributions to resistance evolution and detoxification pathways. Dr. Khan also examines the lethal and sublethal impacts of widely used insecticides on beneficial predatory species, underscoring the need to balance pest suppression with the preservation of ecological services. His studies on dispersal patterns of Paederus fuscipes provide valuable guidance for managing outbreaks of Paederus dermatitis in rice-growing regions, linking agricultural management to public health protection. Additionally, his contributions include work on metabolic and digestive enzyme–related mechanisms driving host plant adaptation in polyphagous pests, as well as assessments of invasive ant species and their ecological impacts under changing environmental conditions. Through his diverse and high-impact research outputs, Dr. Khan delivers evidence-based strategies aimed at enhancing crop protection, reducing environmental harm, and promoting biologically informed and ecologically balanced pest management systems.

Profile: Google Scholar | ResearchGate | Staff Page

Featured Publications

Siddiqui, J. A., Khan, M. M., Bamisile, B. S., Hafeez, M., Qasim, M., Rasheed, M. T., … (2022). Role of insect gut microbiota in pesticide degradation: A review. Frontiers in Microbiology, 13, 870462.

Hafeez, M., Ullah, F., Khan, M. M., Li, X., Zhang, Z., Shah, S., Imran, M., Assiri, M. A., … (2022). Metabolic-based insecticide resistance mechanism and ecofriendly approaches for controlling beet armyworm (Spodoptera exigua): A review. Environmental Science and Pollution Research, 29(2), 1746–1762.

Siddiqui, J. A., Bamisile, B. S., Khan, M. M., Islam, W., Hafeez, M., Bodlah, I., Xu, Y. (2021). Impact of invasive ant species on native fauna across similar habitats under global environmental changes. Environmental Science and Pollution Research, 28(39), 54362–54382.

Khan, M. M., Nawaz, M., Hua, H., Cai, W., & Zhao, J. (2018). Lethal and sublethal effects of emamectin benzoate on the rove beetle (Paederus fuscipes), a non-target predator of the rice brown planthopper (Nilaparvata lugens). Ecotoxicology and Environmental Safety, 165, 19–24.

Hafeez, M., Li, X. W., Zhang, J. M., Zhang, Z. J., Huang, J., Wang, L. K., Khan, M. M., … (2021). Role of digestive protease enzymes and related genes in host plant adaptation of a polyphagous pest (Spodoptera frugiperda). Insect Science, 28(3), 611–626.

Demetri Bouris | Wind Engineering | Best Researcher Award

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Prof. Demetri Bouris | Wind Engineering | Best Researcher Award

Professor | School of Mechanical Engineering, National Technical University of Athens | Greece

Prof. Demetri Bouris is a highly accomplished researcher whose work spans environmental flows, wind engineering, particle dispersion, thermal environmental engineering, urban flows, and computational fluid dynamics, with a strong focus on both numerical and experimental methodologies. His research portfolio includes over 44 international journal publications, 62 conference papers, and multiple book chapters, collectively cited more than 1100 times and supported by an h-index of 18, reflecting sustained impact in fluid mechanics and environmental engineering. He has contributed influential studies on vortex shedding, heat exchanger optimization, atmospheric flow simulation, particle deposition, and conjugate heat transfer in porous media, with several papers exceeding 50 citations. Prof. Bouris has played a leading role in 50 research projects, serving as scientific responsible for 29 of them, and has provided extensive consulting for public and private sectors in areas such as environmental flows, turbulent processes, thermal systems, and two-phase flow simulations. His advanced laboratory leadership includes the design and operation of wind tunnel systems, thermal hydronic circuits, flow visualization facilities, and in-house computational tools. He has supervised numerous PhD, postgraduate, and undergraduate researchers, contributing significantly to capacity building and academic development. His editorial contributions include service on the advisory panel and as guest editor for international journals, membership on editorial boards, and peer review for more than 27 scientific journals. He has also reviewed over 110 national and international research proposals and contributed to scientific committees and working groups. His research excellence is further supported by two patents related to novel heat exchanger designs and multiple awards recognizing his scientific achievements.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | Staff Page

Featured Publications

Bouris, D., Kopanidis, A., Theodorakakos, A., & Gavaises, E. (2010). 3D numerical simulation of flow and conjugate heat transfer through a pore-scale model of high-porosity open-cell metal foam. International Journal of Heat and Mass Transfer, 53(11–12), 2539–2550.

Bouris, D., & Bergeles, G. (1999). 2D LES of vortex shedding from a square cylinder. Journal of Wind Engineering and Industrial Aerodynamics, 80(1–2), 31–46.

Bouris, D., Konstantinidis, E., Balabani, S., Castiglia, D., & Bergeles, G. (2005). Design of a novel, intensified heat exchanger for reduced fouling rates. International Journal of Heat and Mass Transfer, 48(18), 3817–3832.

Mavridou, S., Mavropoulos, G. C., Bouris, D., Hountalas, D. T., & Bergeles, G. (2010). Comparative design study of a diesel exhaust gas heat exchanger for truck applications with conventional and state-of-the-art heat transfer enhancements. Applied Thermal Engineering, 30(8–9), 935–947.

Bouris, D., Papadakis, G., & Bergeles, G. (2001). Numerical evaluation of alternate tube configurations for particle deposition rate reduction in heat exchanger tube bundles. International Journal of Heat and Fluid Flow, 22(5), 525–536.

 

Mathe Helekia Lesenyeho | Medical Care | Best Researcher Award

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Mr. Mathe Helekia Lesenyeho | Medical Care | Best Researcher Award

Research Fellow | University of Free State | South Africa

Mr. Mathe Helekia Lesenyeho is an emerging contributor in the field of Emergency Medical Care whose work reflects a strong blend of professional insight, research relevance, and a clear commitment to advancing prehospital patient safety. His career is marked by notable achievements that underscore his dedication to excellence, including multiple performance-based awards that highlight his leadership, discipline, and consistency within emergency service environments. His research demonstrates a focus on practical, real-world challenges affecting emergency medical systems, particularly issues that directly influence patient outcomes during out-of-hospital care. His recent peer-reviewed publication, “The impact of speed humps on out-of-hospital transported patients: the experience of Emergency Medical Services personnel,” published in the International Journal of Emergency Services, provides evidence-based understanding of how road infrastructure affects patient stability, transport safety, and EMS personnel workflow. This work fills an important gap in prehospital care research by examining an overlooked but highly consequential operational factor. Through such contributions, he is helping to build a more resilient and responsive emergency medical landscape, offering insights that support improved policy, training, and service protocols. His research interests clearly align with improving system efficiency, reducing avoidable risks, and strengthening the interface between emergency operations and patient-centered outcomes. With a growing research profile supported by documented achievements and impactful applied inquiry, he stands out as a promising researcher capable of driving meaningful improvements within emergency medical practice and contributing valuable knowledge to the broader emergency care research community.

Profile: ORCID | ResearchGate

Featured Publications

Lesenyeho, M. H., Nyam, Y. S., & van Straaten, M. M. (2025). The impact of speed humps on out-of-hospital transported patients: The experience of Emergency Medical Services personnel. International Journal of Emergency Services.

 

Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

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Prof. Dr. Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

Professor | Karabuk University | Turkey

Prof. Dr. Ziyodulla Yusupov is a leading researcher in electrical power systems with a strong focus on optimization, intelligent control, microgrid operation, renewable energy integration, and electric vehicle–based energy solutions. His work centers on enhancing system reliability, improving energy efficiency, and advancing sustainable technologies for future power networks. He has played a key role in major international and national research initiatives, most notably the Uzbekistan–Belarus collaborative project (2024–2025) on decentralized electric vehicle charging systems, where he contributes to proposal development, intelligent scheduling strategies, system design, and annual research reporting. His earlier national projects span critical areas such as frequency-adjustable electric drives, resource-saving control modes, energy-efficient pump station operations for mining and agriculture, and the modeling and optimization of electric, hydraulic, and mechanical processes in pump systems. These projects highlight his long-standing expertise in energy management, dynamic system modeling, and the development of rational control principles that improve operational sustainability across industrial utilities. Prof. Yusupov’s research output includes widely cited publications on superconducting magnetic energy storage optimization, integrated photovoltaic systems for power system stability, renewable energy assessment, and the role of clean energy in reducing emissions. His work contributes to advancing the understanding of how renewable resources, storage technologies, and smart control systems can be harmonized to support resilient, low-carbon energy infrastructures. Through his extensive research contributions, collaborative projects, and sustained focus on innovation, he continues to influence the evolution of modern power systems and supports global efforts toward cleaner, smarter, and more efficient energy solutions.

Profile:  Scopus  |  ORCID  |  Google Scholar

Featured Publications

Khaleel, M., Yusupov, Z., Nassar, Y., El-Khozondar, H. J., Ahmed, A., & Alsharif, A. (2023). Technical challenges and optimization of superconducting magnetic energy storage in electrical power systems. e-Prime: Advances in Electrical Engineering, Electronics and Energy, 5, 100223.

Khaleel, M., Yusupov, Z., Ahmed, A., Alsharif, A., Nassar, Y., & El-Khozondar, H. (2023). Towards sustainable renewable energy. Applied Solar Energy, 59(4), 557–567.

Nassar, Y., El-Khozondar, H. J., Ghaboun, G., Khaleel, M., Yusupov, Z., … (2023). Solar and wind atlas for Libya. International Journal of Electrical Engineering and Sustainability, 27–43.

Khaleel, M., Yusupov, Z., Yasser, N., El-Khozondar, H., & Ahmed, A. A. (2023). An integrated PV farm to the unified power flow controller for electrical power system stability. International Journal of Electrical Engineering and Sustainability, 18–30.

Khaleel, M., Yusupov, Z., Alderoubi, N., Abdul_jabbar, R. L., Elmnifi, M., … (2024). Evolution of emissions: The role of clean energy in sustainable development. Challenges in Sustainability, 12(2), 122–135.

Maria Urbaniec | Innovation | Editorial Board Member

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Prof. Maria Urbaniec | Innovation | Editorial Board Member

Prof. Maria Urbaniec | Krakow University of Economics | Poland

Prof. Maria Urbaniec is a leading researcher in entrepreneurship, innovation, eco-innovation, sustainability, and the digital economy, with an extensive body of work that significantly contributes to understanding how modern enterprises adapt and transform in response to technological and environmental shifts. Her research provides valuable insights into sustainable entrepreneurship, examining innovation-related activities within European enterprises and identifying critical drivers that support sustainability-oriented business models. She has extensively explored eco-innovation practices, particularly in the context of economic and environmental policy interactions, shedding light on barriers and opportunities that influence the adoption of eco-innovative strategies. Prof. Urbaniec’s contributions to digital transformation are widely recognized, especially her comparative analyses of how European countries navigate digitalization and the structural changes it brings to economic systems. Her work on corporate entrepreneurship highlights business model innovation within corporate accelerators, offering empirical perspectives on how organizations foster internal innovation capabilities. Additionally, her research on technological developments and remote work provides timely insights into managerial responses to digital tools and evolving work environments, particularly within dynamic European markets. Across her publications, she integrates the themes of innovation, sustainability, and digital advancement to demonstrate how enterprises can achieve long-term competitiveness while meeting environmental and societal expectations. Her findings not only advance academic knowledge but also inform policymakers and practitioners seeking to design effective strategies for sustainable growth, digital transition, and entrepreneurship-driven development. Prof. Urbaniec’s scholarly contributions continue to shape the discourse on innovation management and sustainability transitions at both national and international levels.

Profile:  Scopus  |  ORCID  |  Google Scholar

Featured Publications

Małkowska, A., Urbaniec, M., & Kosała, M. (2021). The impact of digital transformation on European countries: Insights from a comparative analysis. Equilibrium. Quarterly Journal of Economics and Economic Policy, 16(2), 325–355.

Urbaniec, M., & Żur, A. (2021). Business model innovation in corporate entrepreneurship: Exploratory insights from corporate accelerators. International Entrepreneurship and Management Journal, 17(2), 865–888.

Urbaniec, M. (2018). Sustainable entrepreneurship: Innovation-related activities in European enterprises. Polish Journal of Environmental Studies, 27(4), 1773–1779.

Urbaniec, M. (2015). Towards sustainable development through eco-innovations: Drivers and barriers in Poland. Economics and Sociology, 8(4), 179–190.

Urbaniec, M., Małkowska, A., & Włodarkiewicz-Klimek, H. (2022). The impact of technological developments on remote working: Insights from the Polish managers’ perspective. Sustainability, 14(1), 552.

Shima Kamyab | Reverse Osmosis | Best Researcher Award

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Dr. Shima Kamyab | Reverse Osmosis | Best Researcher Award

Postdoctoral Researcher | University of Victoria | Canada

Dr. Shima Kamyab is an accomplished researcher whose work focuses on advancing generative artificial intelligence, deep learning, and computational modeling for complex data-driven applications. Her research encompasses diverse yet interrelated domains such as large language models (LLMs), image processing, 3D point cloud analysis, inverse problems, and additive manufacturing. She has demonstrated exceptional capability in integrating transformer-based AI with time series forecasting and optimization, contributing significantly to the development of intelligent prediction and reconstruction frameworks. Dr. Kamyab’s innovative research on generative AI for shipping freight rate forecasting and 3D morphable models has led to the preparation of high-impact journal publications and recognition through prestigious awards, including Best Ph.D. Student Award and the 2nd Best Paper Award at the HI-AM Conference in Canada. Her scientific contributions are well-documented in leading international journals, covering topics such as multimodal optimization, hyperspectral imaging, and deep learning methods for inverse problems. Through her experience in academia and collaborative research, she has displayed strong analytical, programming, and problem-solving skills, supported by proficiency in Python, MATLAB, and deep learning frameworks like PyTorch and TensorFlow. Beyond technical expertise, she has played an active role in knowledge dissemination as a lecturer, workshop instructor, and mentor, fostering the growth of emerging researchers. Dr. Kamyab’s research excellence is further underscored by her ability to bridge theoretical AI advancements with industrial and applied solutions, making her a highly impactful and forward-looking scientist well-suited for recognition through the Best Researcher Award.

Profile: ORCID | Google Scholar

Featured Publications

  • Yazdani, S., Nezamabadi-Pour, H., & Kamyab, S. (2014). A gravitational search algorithm for multimodal optimization. Swarm and Evolutionary Computation, 14, 1–14.

  • Moosavi-Nasab, M., Khoshnoudi-Nia, S., Azimifar, Z., & Kamyab, S. (2021). Evaluation of the total volatile basic nitrogen (TVB-N) content in fish fillets using hyperspectral imaging coupled with deep learning neural network and meta-analysis. Scientific Reports, 11(1), 5094.

  • Kamyab, S., & Eftekhari, M. (2016). Feature selection using multimodal optimization techniques. Neurocomputing, 171, 586–597.

  • Haghbayan, P., Nezamabadi-Pour, H., & Kamyab, S. (2017). A niche GSA method with nearest neighbor scheme for multimodal optimization. Swarm and Evolutionary Computation, 35, 78–92.

  • Kamyab, S., Azimifar, Z., Sabzi, R., & Fieguth, P. (2022). Deep learning methods for inverse problems. PeerJ Computer Science, 8, e951.

Ramesh Kumar Sahni | Farm Machinery | Best Researcher Award

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Dr. Ramesh Kumar Sahni | Farm Machinery | Best Researcher Award

Scientist | ICAR-Central Institute of Agricultural Engineering, Bhopal | India

Dr. Ramesh Kumar Sahni is an accomplished researcher and scientist at ICAR-Central Institute of Agricultural Engineering (CIAE), Bhopal, with extensive experience in the fields of agricultural mechanization, precision agriculture, and automation in farming systems. His research primarily focuses on the design and development of advanced agricultural technologies, including automatic irrigation systems, high-speed seed metering mechanisms, automated soil nutrient sensing systems, and drone-based solutions for spraying, yield prediction, and plant disease detection. He has contributed significantly to the standardization and promotion of drone spraying systems for major crops such as wheat and maize, reflecting his commitment to sustainable and technology-driven agriculture. Dr. Sahni has a strong record of applied research outcomes, supported by numerous national and international awards, including the Young Scientist Award (2023), multiple Best Research Paper Awards, and recognition for innovation and excellence in agricultural engineering. His research publications address critical issues such as farm mechanization trends, energy-efficient crop residue management, and precision agrochemical application, contributing to the modernization of Indian agriculture. In addition to his research achievements, he has served as Associate Editor of the Journal of Agricultural Engineering (India) and as a reviewer for several reputed international journals, underscoring his leadership in scientific communication and peer review. His work bridges the gap between theoretical research and field-level implementation, promoting smart, sustainable, and data-driven farming solutions that enhance productivity, reduce resource consumption, and support the long-term transformation of agricultural practices in India and beyond.

Profile:  Scopus  |  ORCID  |  Google Scholar  |  ResearchGate

Featured Publications

Tiwari, P. S., Singh, K. K., Sahni, R. K., & Kumar, V. (2019). Farm mechanization – trends and policy for its promotion in India. Indian Journal of Agricultural Sciences, 89(10), 1555–1562.

Sahni, R. K., Kumari, S., Kumar, M., Kumar, M., & Kumar, A. (2020). Status of Litchi cultivation in India. International Journal of Current Microbiology and Applied Sciences, 9(4), 1–10.*

Singh, R. S., & Sahni, R. K. (2019). Transformation of Indian agriculture through mechanization. Economic Affairs, 64(2), 297–303.*

Gatkal, N. R., Nalawade, S. M., Sahni, R. K., Walunj, A. A., Kadam, P. B., Bhanage, G. B., & others. (2024). Present trends, sustainable strategies and energy potentials of crop residue management in India: A review. Heliyon, 10(21), e00000.*

Sahni, R. K., Kumar, S. P., Thorat, D., Rajwade, Y., Jyoti, B., Ranjan, J., & Anand, R. (2024). Drone spraying system for efficient agrochemical application in precision agriculture. In Applications of computer vision and drone technology in agriculture 4.0 (pp. 225–244).

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.