Xinxin Wang | Engineering | Best Researcher Award

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Mr. Xinxin Wang | Engineering | Best Researcher Award

North China Electric Power University | China

Xinxin Wang is a driven and innovative PhD candidate at North China Electric Power University, whose work bridges advanced theoretical research with practical engineering solutions. With a strong foundation in machinery and power engineering, he has developed expertise in the design, analysis, and optimization of underground tunneling equipment, particularly Tunnel Boring Machines (TBMs). His career reflects a deep commitment to solving complex challenges in rock mechanics and engineering, supported by collaborative efforts with leading experts in China and abroad. His predictive models and design methods have significantly advanced tunneling efficiency, making him a promising leader in his field.

Professional Profile

Scopus

ORCID

Education

Xinxin Wang earned a Master’s degree in Machinery and Engineering from Inner Mongolia University of Science and Technology, followed by doctoral studies in Power Machinery and Engineering at North China Electric Power University. Selected for the prestigious National “Excellent Engineer Program,” he broadened his academic exposure through a joint doctoral program as a visiting scholar at the University of Pisa, Italy. This international engagement allowed him to integrate advanced European engineering practices with domestic innovation, enriching his academic and professional capabilities in tunneling technology and rock-breaking mechanics.

Experience

Xinxin Wang has actively participated in multiple national-level research projects, including those funded by the National Natural Science Foundation of China and the National High Technology Research and Development Program. His contributions extend to the development of proprietary software for calculating rock-breaking forces in TBM disc cutters and the creation of new cutterhead designs capable of handling varied geological conditions. He works closely with industry and academic partners to ensure his research outcomes are implemented in real-world projects, thus enhancing the efficiency, reliability, and cost-effectiveness of large-scale underground excavation.

Research Interest

His research focuses on intelligent control systems and energy efficiency analysis for advanced underground construction equipment, particularly TBMs. He is deeply engaged in studying the collaborative rock-breaking mechanism of disc cutters, developing predictive models for cutter forces and cutterhead torque, and designing innovative solutions to optimize performance in diverse geological settings. Additionally, his expertise spans rock mechanics, structural analysis, and the integration of advanced computational modeling techniques into engineering practice.

Awards

Xinxin Wang has received recognition for his scholarly achievements through competitive doctoral scholarships and honors for academic excellence. His innovative contributions to TBM rock-breaking mechanics, cutterhead design, and excavation efficiency have been widely acknowledged in professional circles. These recognitions underscore his potential to make sustained and transformative contributions to the tunneling and underground engineering sector, making him a strong candidate for the Best Researcher Award.

Publications

Title: Investigation into the Rock-Breaking Forces of TBM Disc Cutters with Diverse Edge Shapes
Journal: Rock Mechanics and Rock Engineering
Published on: 2025

Title: Study on the Rock-Breaking Forces of TBM Disc Cutters with Uneven Wear
Journal: Chinese Journal of Theoretical and Applied Mechanics
Published on: 2025

Title: Study on Fatigue Characteristics of High-Pressure Vessel with Multiple Cracks in Stages
Journal: Mechanical Design and Manufacturing
Published on: 2024

Title: Allowable Limit of Crack Defect Zone Evaluation under Expected Life of Ultra-high Pressure Vessel Head
Journal: Thermal Processing Technology
Published on: 2024

Conclusion

By combining theoretical innovation with real-world engineering solutions, Xinxin Wang has made impactful contributions to the science and technology of tunnel boring and underground excavation. His research has not only improved operational efficiency but has also reduced construction costs and enhanced safety in challenging environments. With proven academic excellence, international collaboration experience, and a strong record of published work, he exemplifies the qualities of a dedicated and forward-thinking researcher worthy of the Best Researcher Award.

Dehua Wu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Dehua Wu | Engineering | Best Researcher Award

Fuzhou University | China

Dr. Dehua Wu is a highly respected Associate Professor in the Department of Transportation Engineering at the College of Civil Engineering, Fuzhou University. Known for his leadership in intelligent transportation systems research, he has made significant advancements in autonomous driving integration, connected vehicle applications, and traffic safety improvement. His career reflects a dedication to bridging advanced transportation technologies with practical engineering solutions that address real-world challenges. With a strong reputation in both academia and industry, he is frequently invited to contribute his expertise to research collaborations, governmental advisory boards, and infrastructure development projects.

Professional Profile

Scopus

Education

Dr. Wu’s academic achievements form a solid foundation for his expertise in transportation systems. He earned his Ph.D. in Transportation Planning & Management from Tongji University, where he developed analytical frameworks for improving traffic efficiency and safety. He also holds a master’s degree in Road & Railway Engineering and a bachelor’s degree in Highway & Urban Road Engineering from Chang’an University, where he built a deep understanding of road design principles, traffic modeling, and urban mobility planning. His educational background has equipped him with the skills to integrate engineering theory with cutting-edge technology in transportation innovation.

Experience

In his role as Associate Professor at Fuzhou University, Dr. Wu leads research teams, mentors postgraduate students, and designs advanced courses in transportation engineering. His international experience as a Visiting Scholar at the University of Alberta broadened his research scope, allowing him to incorporate global perspectives into local infrastructure solutions. Before entering academia, he served as a Senior Engineer at the Fujian Transport Planning Bureau, where he played a key role in formulating strategies for road safety auditing, transportation policy, and network optimization. His professional portfolio includes consulting work on large-scale safety risk assessments, expressway development, and urban traffic impact studies, demonstrating his ability to apply research to practical, high-stakes projects.

Research Interest

Dr. Wu’s research spans Intelligent Transportation Systems, autonomous and connected vehicle integration, and advanced traffic safety evaluation. His work addresses congestion management, accident black spot analysis, and the development of data-driven traffic control models. He has conducted in-depth studies on traffic flow dynamics in tunnel and expressway systems under intelligent connected conditions, offering innovative solutions for speed limit control, hazard detection, and infrastructure resilience. Additionally, his research extends to transportation planning and facility design, with a focus on creating adaptable, future-ready systems that enhance mobility, safety, and sustainability.

Awards

Dr. Wu’s research leadership and his ability to translate complex engineering concepts into actionable transportation solutions have earned him professional recognition and respect. His projects, funded by prestigious scientific foundations and transportation technology programs, have directly influenced transportation safety protocols, traffic management systems, and smart vehicle integration strategies. His sustained record of impactful research positions him as an exemplary candidate for the Best Researcher Award, reflecting a career defined by innovation, practical relevance, and societal benefit.

Publications

Title: Hybrid Characteristics of Heterogeneous Traffic Flow in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2022

Title: Hybrid Characteristics of Heterogeneous Traffic Flow Under Different Aggregating Lane-Change Strategies in Intelligent Network
Journal: Journal of Southwest Jiaotong University
Published on: 2023

Title: Adaptive Variable Speed Limit Optimization Control Model for Highways
Journal: Journal of Fuzhou University (Natural Science Edition)
Published on: 2017

Title: Evolution Patterns of Heterogeneous Traffic Flow at Ramp Bottlenecks on Expressways
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2020

Title: Fuzzy Control and Simulation of Congested Traffic Flow in Merge Bottleneck Areas Based on Chaos Theory
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Title: Quantitative Algorithm for Traffic Sign Information Based on Information Transfer Principle
Journal: Journal of Guizhou University (Natural Science Edition)
Published on: 2017

Conclusion

Dr. Dehua Wu’s career exemplifies the integration of research excellence, engineering innovation, and applied problem-solving. His contributions to intelligent transportation systems, safety management, and infrastructure optimization have influenced policy, shaped industry practices, and advanced the scientific understanding of traffic behavior. With a proven ability to deliver high-impact research and practical solutions, he stands as a leading figure in his field and an outstanding nominee for the Best Researcher Award.