Haifeng Zhai | Mechanical Engineering | Editorial Board Member

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Dr. Haifeng Zhai | Mechanical Engineering
| Editorial Board Member

Dalian University of Technology | China

Dr. Haifeng Zhai the research focuses on advancing the fundamental and applied understanding of the mechanical behavior of metallic materials, with emphasis on fatigue life prediction, microstructural evolution, and deformation mechanisms under complex loading conditions. The work integrates experimental investigations with high-fidelity computational modeling approaches—including crystal plasticity finite element modeling (CPFEM) and phase-field (PF) simulations—to uncover the interactions between microstructure, defects, and loading history in determining fatigue performance. Significant contributions include developing predictive frameworks for fatigue life in additive-manufactured alloys by examining the role of defects, anisotropy, and overload effects on crack initiation and propagation. The research further establishes rapid fatigue prediction methodologies using phase-field models to capture microstructural evolution under varied laser scanning strategies, enabling improved process–structure–property relationships. Systematic experimental and simulation studies on 316L stainless steel under multiple overload conditions have provided new insights into cyclic deformation behavior and damage evolution pathways. Active involvement in national research projects has supported the formulation of new computational–experimental strategies for modeling fatigue mechanisms with enhanced accuracy and efficiency. Overall, the research advances the scientific understanding of fatigue behavior in engineered materials and contributes to the development of predictive tools essential for structural reliability, durability assessment, and materials design.

 Profile: Orcid 

Featured Publications

Zhai, H., Wang, Y., & Yang, Y. (2025). Rapid prediction of overload fatigue life based on phase-field modeling of microstructures under different scanning strategies. Additive Manufacturing, 104, 104771. https://doi.org/10.1016/j.addma.2025.104771

Jiang, W., Wu, H., Zhai, H., Wang, Y., Li, D., & Dong, C. (2025). The influence of microstructural features on the fracture performance of specimens fabricated by SLM. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. https://doi.org/10.1177/09544062251336549

Zhai, H., Jiang, W., Wang, Y., Yang, Y., & Lv, H. (2025). Experimental and simulation study on the microstructural evolution and fatigue life of 316L stainless steel under different periodic overload conditions. Engineering Failure Analysis, 109, 109475. https://doi.org/10.1016/j.engfailanal.2025.109475

Sarra Senouci | Mechanical Engineering | Editorial Board Member

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Mrs. Sarra Senouci | Mechanical Engineering
| Editorial Board Member

University of Electronic Science and Technology of China | Algeria

Mrs. Sarra Senouci the research work centers on advanced cryptographic systems, network security, and intelligent detection frameworks, with a strong emphasis on chaotic dynamics, pseudo-random number generation, and secure data transmission. The studies include the development of a novel pseudo-random number generator (PRNG) for fiber optic communication, leveraging nonlinear chaotic behavior to enhance cryptographic strength and improve resistance to prediction attacks. Additional contributions explore a chaotic-based cryptographically secure PRNG designed for high-performance applications requiring strong randomness and low computational overhead. In the domain of cybersecurity, the research introduces deep convolutional neural network architectures for high-precision and real-time DDoS attack detection within software-defined networking environments. This includes models optimized for both feature extraction and rapid classification to mitigate large-scale network threats. Further advancements incorporate feature engineering and ensemble learning techniques to achieve robust, scalable, and resilient DDoS detection frameworks capable of adapting to evolving attack patterns. Earlier academic work includes the design and construction of autonomous sensor networks and the implementation of chaotic systems on FPGA platforms, highlighting strong integration of hardware, communication technologies, and nonlinear system modeling across multiple layers of modern electronic and communication systems.

 Profile:  Google Scholar 

Featured Publications

Senouci, S., Madoune, S. A., Senouci, M. R., Senouci, A., & Tang, Z. (2025). A novel PRNG for fiber optic transmission. Chaos, Solitons & Fractals, 192, 116038. https://doi.org/10.1016/j.chaos.2025.116038

Madoune, S. A., Senouci, S., Dingde, J., & Senouci, A. (2024). Deep convolutional neural network-based high-precision and speed DDOS detection in SDN environments. 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 1–6. https://doi.org/10.1109/iccwamtip64812.2024.10873789

Madoune, S. A., Senouci, S., Setitra, M. A., & Dingde, J. (2024). Toward robust DDOS detection in SDN: Leveraging feature engineering and ensemble learning. 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 1–7. https://doi.org/10.1109/iccwamtip64812.2024.10873648

Wei Xu | Mechanical Engineering | Best Researcher Award

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Dr. Wei Xu | Mechanical Engineering
| Best Researcher Award

Dr. Wei Xu | China North Artificial Intelligence & Innovation Research Institute | China

Dr. Wei Xu is a Research Professor at the China North Artificial Intelligence & Innovation Research Institute, specializing in legged robotics and bio-inspired systems. With a Ph.D. in Mechanical Electronics Engineering, he has established himself as a leading expert in advanced robotic design and control. His research focuses on developing high-mobility robotic platforms that combine innovative mechanical systems with sophisticated control algorithms, enabling efficient navigation in complex and unstructured environments. Xu Wei has significantly contributed to advancing robotics through pioneering work on gait planning, system integration, and intelligent locomotion. His extensive publications, patents, and leadership in collaborative projects highlight his influence in shaping robotics innovation, making him a strong candidate for the Best Researcher Award.

Professional Profile 

Scopus

Suitability for the Best Researcher Award

Dr. Wei Xu demonstrates exceptional suitability for the Best Researcher Award through his innovative contributions to legged robotics, bio-inspired systems, and intelligent locomotion control. His work bridges theoretical advances with practical applications, enabling robotic systems to navigate challenging environments with precision and reliability. Xu Wei’s leadership in national-level research initiatives, prolific publication record, and extensive intellectual property portfolio reflect his scientific excellence and ability to drive innovation. His active collaboration with prestigious institutions further underscores his status as a respected thought leader in robotics. He embodies the qualities sought in a Best Researcher Award recipient: innovation, impact, leadership, and a vision for advancing technology to solve real-world challenges.

Education 

Dr. Wei Xu holds a Ph.D. in Mechanical Electronics Engineering, with a strong academic foundation in robotics, automation, and control systems. His education emphasized a deep understanding of mechatronic system design, advanced control strategies, and bio-inspired engineering principles, laying the groundwork for his pioneering contributions to robotics. Throughout his studies, he developed expertise in dynamic locomotion, system modeling, and the integration of intelligent algorithms for robotic platforms. His academic training combined theoretical knowledge with extensive practical research, equipping him to tackle complex engineering challenges. This rigorous background has enabled him to excel as a research leader, focusing on innovative robotic systems that bridge cutting-edge mechanical design and artificial intelligence-driven control, shaping the future of intelligent machines and autonomous mobility solutions.

Work Experience 

Dr. Wei Xu has extensive experience in robotics research, leading high-level projects and contributing to groundbreaking advancements in bio-inspired robotic systems. As a Research Professor, he has successfully guided research teams, coordinated interdisciplinary collaborations, and overseen the development of innovative robotic technologies. His work emphasizes dynamic locomotion, adaptive control, and advanced system integration, contributing to practical applications in exploration, logistics, and rescue operations. Xu Wei has played a central role in major research programs, driving innovation through project leadership and strategic technical expertise. His experience extends to organizing international conferences, fostering knowledge exchange, and promoting collaboration among leading institutions. His contributions to robotics research and development demonstrate a rare combination of academic excellence, technical leadership, and visionary problem-solving.

Awards and Honors

Dr. Wei Xu academic excellence and innovative contributions have been recognized through leadership roles, patents, and impactful publications. He has been entrusted with key responsibilities in high-level research programs, reflecting his expertise and reputation in robotics research. His role as Workshop Session Chair at an esteemed international robotics conference highlights his influence in the field and ability to advance scholarly discourse. Xu Wei’s patented innovations and published works demonstrate sustained excellence and creativity, earning him recognition among peers. His involvement in leading interdisciplinary collaborations with top institutions underscores his status as a trusted expert in robotics innovation. These achievements collectively illustrate his leadership, dedication, and outstanding research contributions, making him a distinguished figure deserving of professional accolades.

Research Focus 

Dr. Wei Xu research centers on legged robotics, bio-inspired locomotion, and intelligent control systems. He explores innovative mechanical designs combined with advanced nonlinear control strategies to achieve robust robotic mobility in unstructured and challenging terrains. His work emphasizes adaptive gait planning, energy-efficient movement, and integrated systems that enhance autonomy and versatility in robotic platforms. Xu Wei is dedicated to bridging theoretical research with real-world application, focusing on developing high-performance robots capable of exploration, disaster response, and autonomous navigation. His research integrates engineering principles, artificial intelligence, and biomimicry, pushing the boundaries of mobility and system intelligence. This interdisciplinary approach has made him a leader in advancing robotics innovation, influencing both academic research and practical technology deployment.

Publication Top Notes

  • Wheeled-legged robots for multi-terrain locomotion in plateau environments
    Year: 2025

  • Optimization of the Four-Link Transmission Mechanism of the Knee Joint of a Quadruped Robot Based on the Strut Structure
    Year: 2025

Conclusion

Xu Wei is a visionary researcher whose pioneering work in legged robotics and bio-inspired locomotion demonstrates scientific depth and practical impact. His leadership in national projects, numerous patents, and strong academic track record make him highly deserving of the Best Researcher Award. With focused efforts on increasing international visibility and strengthening industry collaborations, he has the potential to become a globally renowned authority in robotics and intelligent systems. His exceptional research contributions, innovative solutions, and dedication to advancing the field firmly position him as an outstanding candidate for this recognition.

Erika Alves Tavares Marques | Engineering | Best Researcher Award

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Dr. Erika Alves Tavares Marques | Engineering | Best Researcher Award

Federal University of Pernambuco, Brazil

👨‍🎓Profiles

🎓 Early Academic Pursuits

Érika Alves Tavares Marques began her academic journey with a strong foundation in biology and environmental management. Her advanced studies led her to specialize in Environmental Management and Control, followed by a master’s degree in Environmental Technology. Pursuing her passion for interdisciplinary research, she earned her doctorate in Development and Environment (PRODEMA), focusing on innovative approaches to environmental sustainability.

💼 Professional Endeavors

Currently a Postdoctoral Researcher at the Federal University of Pernambuco in Brazil, She contributes to significant advancements in environmental science and technology. Her expertise spans water quality, solid waste management, and sustainable environmental practices. She also holds a position on the editorial boards of numerous international journals, solidifying her influence in the field.

🌍 Contributions and Research Focus

Her research emphasizes integrated environmental management systems, particularly in the semi-arid regions of Brazil. Her projects have tackled pressing issues like adaptive governance and water security under the climate emergency, showcasing her dedication to bridging the gap between research and practical environmental solutions.

🌟 Impact and Influence

She has spearheaded multiple groundbreaking projects, including the development of decision support systems for environmental management and integrated water management models under climate change scenarios. These efforts have not only addressed critical regional challenges but also set benchmarks for global environmental governance.

📖 Academic Citations

With an extensive research portfolio, Her contributions are well-recognized in the academic community. Her citation index reflects the widespread impact of her work on sustainable environmental practices and water resource management.

💻 Technical Skills

She possesses advanced expertise in environmental monitoring, data analysis, and ecosystem modeling. Her skills enable her to develop innovative tools and methodologies for assessing and addressing ecological challenges.

🎓 Teaching Experience

Beyond research, She is dedicated to mentoring and teaching. She has contributed to developing future environmental leaders by guiding students and participating in educational programs that promote awareness of sustainable practices.

🏆 Legacy and Future Contributions

Her legacy is defined by her commitment to sustainability and innovation. She continues to focus on adaptive governance strategies, particularly in managing water resources amidst climate challenges. Her ongoing research into the female presence in the food-water-energy nexus within the Caatinga biome underscores her dedication to inclusive and impactful environmental solutions.

📚 Publications and Editorial Roles

She has authored influential works, such as Piscicultura e Sistema de Wetland Construída no Semiárido (2018), and serves on the editorial boards of esteemed journals like the International Journal of Hydrology. Her prolific contributions have shaped discussions on environmental management and sustainability globally.

🤝 Professional Memberships

As a member of the CRBio 5 (Regional Biology Council 5th Region), She actively participates in advancing the biology and environmental science professions. Her collaborations with journals and organizations further emphasize her leadership and influence.

🚀 Vision for the Future

With a strong foundation in environmental research and practical applications, She aims to enhance global sustainability practices. Her focus on adaptive and integrated management systems will continue to drive meaningful change, ensuring a resilient and equitable future for ecosystems and communities worldwide.

📖Notable Publications

Application of Building Information Modelling in Construction and Demolition Waste Management: Systematic Review and Future Trends Supported by a Conceptual Framework

Authors: Lins, E.J.M.; Palha, R.P.; Sobral, M.D.C.M.; Araújo, A.G.D.; Marques, É.A.T.

Journal: Sustainability (Switzerland)

Year: 2024

 

Spatial-temporal evaluation of water quality in Brazilian semiarid reservoirs

Authors: Rossiter, K.W.L.; Marques, E.A.T.; Ricardo De, C.; Elena Matta, O.; Morais, M.M.

Journal: Water Practice and Technology

Year: 2020

 

Master plans in articulation of water resource management with land use around reservoirs

Authors: Calado, T.O.; Cardoso, A.S.; Marques, É.A.T.; Sobral, M.D.C.

Journal: Revista Brasileira de Geografia Fisica

Year: 2020

 

Management of tropical river basins and reservoirs under water stress: Experiences from northeast Brazil

Authors: Marques, É.T.; Gunkel, G.; Sobral, M.C.

Journal: Environments - MDPI

Year: 2019

 

Assessing the negative impact of an aquaculture farm on effluent water quality in Itacuruba, Pernambuco, Brazilian semiarid region

Authors: Marques, E.A.T.; Da Silva, G.M.N.; De Oliveira, C.R.; Cunha, M.C.C.; Do Carmo Sobral, M.

Journal: Water Science and Technology

Year: 2018