Chenfei Wang | Civil Engineering | Best Researcher Award

Published on by Award and Honors

Assoc. Prof. Dr. Chenfei Wang | Civil Engineering | Best Researcher Award

Xiamen University of Technology | China

Dr. Chenfei Wang is an accomplished Associate Professor and Master’s Supervisor, currently serving as Department Head of Civil Engineering at Xiamen University of Technology. With expertise in structural engineering, sustainable concrete materials, and whole-life-cycle structural safety, he has made significant contributions to advancing durable and eco-friendly civil infrastructure. He holds degrees in Building Engineering and Structural Engineering, culminating in a Ph.D. in Structural Engineering, where his doctoral work focused on cracking control and the durability of mass concrete. Professionally, Dr. Wang began his career as a Lecturer at Beijing Normal University, Zhuhai Campus, before joining Xiamen University of Technology, where he advanced to his current leadership role. He also serves as Deputy Director of the Fujian Provincial Research Center for Crack Control in Major Engineering Structures and leads the Virtual Teaching and Research Section on Intelligent Construction. His research focuses on cracking control, chloride-ion transport in marine environments, fiber-reinforced composites, and recycled aggregates for sustainable infrastructure. Dedicated to education, he has taught core courses such as Design of Concrete Structures and Principles of Concrete Structure Design while guiding many master’s students. Dr. Wang has secured competitive research grants from the National Natural Science Foundation of China and the Fujian Provincial Education Department, and he holds software copyrights for innovative construction monitoring tools that have improved practices in structural safety and durability. His research work has been cited 72 times across 71 documents, with 14 published documents and an h-index of 5. Widely recognized for his academic leadership, he continues to bridge research and practice, mentoring the next generation of engineers while advancing sustainable development in civil engineering.

Profile : Scopus 

Featured Publication 

Wang, C., Yang, Y.-X., Fan, G.-M., Lian, J.-Y., & Chen. Detection of debonding defects in concrete-filled steel tubes using fluctuation analysis method. Sensors, 24, 8222.

Wang, C., Ma, K., Hou, W., Liu, C., & Li, Z. Crack-resistance of recycled concrete via temperature-stress testing. Journal of Fuzhou University, 51(2), 250–255.

Wang, C., Chen, Y., Zhou, M., & Chen. Control of early-age cracking in super-long mass concrete structures. Sustainability, 14(7), 1–16.

Wang, C., Guo, Z., & Niu.  Influence of fiber volume on durability of PP-fiber-reinforced concrete. Sustainability, 12, 549.

Shangshang Wu | Engineering | Best Researcher Award

Published on by Award and Honors

Dr. Shangshang Wu | Engineering | Best Researcher Award

Tianjin university | China

Wu Shangshang is a mechanical engineer pursuing her Ph.D. at the School of Mechanical Engineering, Tianjin University in China, where she also completed her B.S. and M.S. in Mechanical Engineering. Her research focuses on underwater gliders, emphasizing hydrodynamic identification, motion behavior analysis, and front-end data processing for acoustic communication. Since her master’s studies, she has worked as a graduate researcher, contributing to both experimental sea trials and theoretical modeling, and has published journal articles and conference papers in marine robotics, acoustics, and signal processing. Wu’s doctoral work advances model-based and data-driven methods to improve hydrodynamic prediction and control under uncertain underwater conditions, supporting the development of reliable seabed vehicles and underwater communication systems. She collaborates closely with colleagues at Tianjin University, including researchers such as Guangwei Lv and Shaoqiong Yang, and her early contributions are gaining citations. Her interests also include neural network–based hybrid modeling, online estimation, and mitigating the effects of environmental factors like sea currents and noise on underwater navigation and sensor performance. While no specific awards are publicly documented, Wu shows strong potential in combining experimental insights with computational techniques to enhance the design, control, and stability of underwater gliders.

Profile : Scopus| ORCID  

Featured Publications

AuthorLastName, A. A., & AuthorLastName, B. B. Model and data-driven hydrodynamic identification and prediction for underwater gliders. Physics of Fluids.

AuthorLastName, A. A., & AuthorLastName, B. B. An enhanced variational mode decomposition method for processing hydrodynamic data of underwater gliders. Measurement.

AuthorLastName, A. A., & AuthorLastName, B. B. Multi-body modelling and analysis of the motion platform for underwater acoustic dynamic communication. Applied Mathematical Modelling.