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).

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.

Kai Tong | Renewable Materials | Best Researcher Award

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Dr. Kai Tong | Renewable Materials | Best Researcher Award

Lecturer | Yiwu Industrial & Commercial College | China

Dr. Kai Tong is a dedicated Lecturer at Yiwu Industrial & Commercial College, China, recognized for his scholarly contributions in the fields of renewable materials and engineering structures. He earned his academic qualifications from Chongqing Jiaotong University, where he also held various academic and invited positions that strengthened his expertise in applied engineering research. With a strong research background, Dr. Tong has focused on developing sustainable and innovative materials that contribute to advancements in renewable engineering practices and environmentally conscious construction methods. His research portfolio includes 24 published documents with a total of 235 citations and an h-index of 8, reflecting both the quality and impact of his scientific work within the academic community. He is actively engaged in professional memberships and has participated in collaborative initiatives aimed at promoting knowledge transfer and technological innovation in the materials engineering domain. Dr. Tong’s commitment to academic excellence and his pursuit of research that bridges scientific understanding with practical applications position him as a promising researcher in the evolving field of sustainable engineering. His academic journey and professional achievements highlight his contribution to addressing contemporary challenges in materials science, while his growing citation record underscores his influence among peers. Through his continued research and teaching efforts, Dr. Kai Tong remains devoted to advancing the frontiers of renewable material development and fostering the next generation of engineers equipped with sustainable innovation skills.

Profile:  Scopus  |  ORCID

Featured Publications

Zhang, H., Tong, K., Zhang, Y., Qu, Y., & Zhou, J. (2025, October). Research on quantitative detection method of internal rebar stresses in RC beams under cyclic loading based on force-magnetic coupling optimization model. Construction and Building Materials.

Zhou, J., Tong, K., Zhang, H., Hu, T., Zhang, S., Liao, J., & Wu, X. (2025, April). Study on quantitative assessment of stress state of RC beams based on force-magnetic coupling effect. Engineering Structures.

Tong, K., Zhou, J., Zhao, R., Zhang, Y., & Liu, S. (2024, October). Investigation on SMFL field distribution of different types of rebars under axial tensile failure tests. Journal of Materials in Civil Engineering.

Zhang, Y., Zhang, H., Tong, K., Gong, Y., Qu, Y., Zhou, J., & Zhang, J. (2024, January). A key contribution for concrete durability: Harnessing force‐magnetic coupling for stress state detection in reinforced concrete beams. Structural Control and Health Monitoring.

Zhang, H., Li, H., Zhou, J., Tong, K., & Xia, R. (2023). A multi-dimensional evaluation of wire breakage in bridge cable based on self-magnetic flux leakage signals. Journal of Magnetism and Magnetic Materials.

Lourdes Casas Cardoso | Green Technology | Best Researcher Award

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Prof. Dr. Lourdes Casas Cardoso | Green Technology | Best Researcher Award

Professor, Universidad de Cádiz, Spain

Prof. Dr. Lourdes Casas Cardoso is a distinguished academic and researcher specializing in supercritical fluids, advanced separation processes, and supercritical impregnation, with a strong focus on sustainable applications in the agri-food and biomedical sectors. She earned her Bachelor’s Degree in Chemistry from the Marta Abreu Central University of Las Villas (UCLV), Cuba, in 1996, followed by a Master’s in Organic Chemistry with a specialization in Natural Products from the University of Havana in 2001, a Diploma in Advanced Studies from the University of Cádiz in 2004, and a PhD from the same university in 2006. She began her academic career as a professor at UCLV, Cuba, where she served for a decade, before joining the University of Cádiz, Spain, in 2007, where she advanced from researcher to full professor. Since May 2023, she has held the position of University Professor at UCA. Her research has concentrated on the reutilization of byproducts and industrial waste using innovative separation techniques, including supercritical carbon dioxide and pressurized liquids, leading to significant advancements in green technologies. She has published 80 indexed articles, six book chapters, and participated in over 80 international conferences, accumulating 1,420 citations and an h-index of 26. She has supervised four doctoral theses, directed funded research projects, coordinated multiple industry collaborations, and co-authored three patents. Additionally, she has held leadership roles such as Coordinator of the Chemical Engineering Degree at UCA and has received recognition for excellence in teaching. Her career reflects a remarkable integration of research, teaching, and innovation.

Profile:  Scopus  |  ORCID  |  Google Scholar

Featured Publications

Otero-Pareja, M. J., Casas, L., Fernández-Ponce, M. T., Mantell, C., & de la Ossa, E. M. (2015). Green extraction of antioxidants from different varieties of red grape pomace. Molecules, 20(6), 9686–9702.

Fernández-Ponce, M. T., Casas, L., Mantell, C., Rodríguez, M., & de la Ossa, E. M. (2012). Extraction of antioxidant compounds from different varieties of Mangifera indica leaves using green technologies. The Journal of Supercritical Fluids, 72, 168–175.

Fernández-Ponce, M. T., Casas, L., Mantell, C., & de la Ossa, E. M. (2015). Use of high pressure techniques to produce Mangifera indica L. leaf extracts enriched in potent antioxidant phenolic compounds. Innovative Food Science & Emerging Technologies, 29, 94–106.

Fernández-Ponce, M. T., Parjikolaei, B. R., Lari, H. N., Casas, L., Mantell, C., & de la Ossa, E. M. (2016). Pilot-plant scale extraction of phenolic compounds from mango leaves using different green techniques: Kinetic and scale up study. Chemical Engineering Journal, 299, 420–430.

El Marsni, Z., Torres, A., Varela, R. M., Molinillo, J. M. G., Casas, L., Mantell, C., & de la Ossa, E. M. (2015). Isolation of bioactive compounds from sunflower leaves (Helianthus annuus L.) extracted with supercritical carbon dioxide. Journal of Agricultural and Food Chemistry, 63(28), 6410–6421.

Hongwei Du | Green Technology | Best Researcher Award

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Dr. Hongwei Du | Green Technology | Best Researcher Award

Dr. Hongwei Du | Inner Mongolia University of Science and Technology | China

Dr. Hongwei Du is a dedicated researcher in materials science and metallurgical engineering with a strong academic background from Henan Polytechnic University and Inner Mongolia University of Science and Technology. He has gained valuable experience through internships in metallurgy, manufacturing, and heat treatment, as well as participation in research on rare earth catalyst development under the guidance of a renowned scholar. Recognized with multiple scholarships and awards, he has also excelled in academic competitions. Alongside technical expertise, he is proficient in CAD drafting and English communication, demonstrating strong organizational skills, adaptability, and a commitment to advancing laboratory analysis and research.

Publication Profile

Orcid

Academic Background

Dr. Hongwei Du has built a strong foundation in materials science and metallurgical engineering through his academic journey at Henan Polytechnic University and Inner Mongolia University of Science and Technology. His studies covered metallurgy, heat treatment principles, materials analysis, testing technology, and physical properties of materials. He gained practical skills through internships in metallurgy, manufacturing, and heat treatment processes, further supported by hands-on research in rare earth catalyst development under the guidance of a distinguished scholar. His academic achievements, scholarships, and competition awards highlight his dedication, while his technical skills and adaptability reflect his potential for impactful research.

Professional Experience

Dr. Hongwei Du has cultivated significant professional experience through a combination of academic research, internships, and extracurricular engagements. He worked with metallurgical companies where he gained practical exposure to manufacturing, forging, and heat treatment processes, enriching his technical expertise in materials science. His research on rare earth catalyst development under the mentorship of a distinguished scholar strengthened his analytical and experimental skills. Beyond technical pursuits, he contributed actively to student organizations, competitions, and volunteer initiatives, showcasing leadership and teamwork. His professional journey reflects a balance of academic excellence, practical knowledge, and strong personal commitment to advancing materials research.

Awards and Honors

Dr. Hongwei Du has been recognized with several awards and honors that reflect his dedication to academic and professional excellence. He earned multiple scholarships for his consistent performance and was honored as an Outstanding Communist Youth League Member, highlighting both his academic and leadership qualities. His achievements in competitions, including top placements in mathematical modeling and metallography, demonstrate his problem-solving skills and innovative thinking. In addition, his certification as a senior CAD draftsman and proficiency in English communication showcase his technical and professional competencies. These accomplishments collectively illustrate his commitment to continuous growth and scholarly distinction.

Research Focus

Dr. Hongwei Du’s research focuses on advancing materials science and metallurgical engineering through both theoretical and applied approaches. His academic training has provided a deep understanding of metallurgy, heat treatment processes, materials testing, and physical properties of metals. Under the mentorship of a distinguished scholar, he contributed to the development and performance testing of rare earth catalysts, reflecting his interest in innovative materials research. He aims to integrate laboratory analysis with industrial applications to create solutions that improve efficiency and sustainability. His research focus demonstrates a commitment to bridging academic knowledge with practical advancements in material technologies.

Publication Top Notes

Phase Transformation and Si/Al Leaching Behavior of High-Silica–Alumina Coal Gangue Activated by Sodium-Based Additives
Year: 2025

Conclusion

Dr. Hongwei Du possesses a strong foundation in materials science and metallurgical engineering, combining excellent academic achievements with practical research and internship experience. His work on rare earth catalyst development under a distinguished scholar demonstrates significant research potential, while his consistent performance in scholarships and competitions reflects intellectual capability and innovation. With strong motivation, leadership, and technical skills, he is well-positioned to advance scholarly publications and collaborative projects, making him a highly deserving candidate for the Best Researcher Award.