Assistant Professor, Tongji University, China
Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, showcases an impressive academic and research profile, making him a strong candidate for the Research for Best Researcher Award. With a Ph.D. in Civil Engineering and a GPA of 90.30, he has garnered several accolades, including recognition among the World’s Top 2% Scientists in 2024. His research interests focus on artificial intelligence in structural health monitoring and innovative anti-seismic systems, contributing significantly to advancements in civil engineering. He has published numerous peer-reviewed articles, demonstrating a commitment to advancing knowledge in his field. His collaborative work has resulted in impactful research, earning him prestigious fellowships and awards, such as the JSPS Foreign Research Fellow and Shanghai Leading Talents recognition. Dr. Zhao’s combination of research excellence, innovation, and leadership positions him as an exemplary figure in civil engineering, underscoring his suitability for this prestigious award.
Profile:
Education
Dr. Zhipeng Zhao earned his Ph.D. in Civil Engineering from Tongji University, Shanghai, China, in 2021, where he achieved an impressive GPA of 90.30/100. His academic journey began at the same institution, where he completed his Bachelor’s degree in Civil Engineering in 2017, graduating with a remarkable GPA of 93.00/100. During his doctoral studies, Dr. Zhao focused on advanced topics in structural health monitoring and vibration control, demonstrating a commitment to enhancing the resilience of civil engineering structures. His educational background has provided him with a solid foundation in both theoretical and practical aspects of civil engineering, equipping him with the skills necessary to tackle complex engineering challenges. Dr. Zhao’s strong academic performance and rigorous training reflect his dedication to excellence in the field, positioning him as a valuable contributor to research and innovation in civil engineering.
Research Skills
Dr. Zhipeng Zhao possesses exceptional research skills that significantly contribute to the advancement of civil engineering, particularly in artificial intelligence-based structural health monitoring and vibration control. His ability to develop innovative anti-seismic structural systems is demonstrated through numerous peer-reviewed publications, reflecting a strong command of both theoretical and practical applications. Dr. Zhao excels in employing cutting-edge methodologies for ground motion simulation, allowing for accurate predictions and enhanced structural safety. His collaborative work as a corresponding author on various high-impact journals showcases his capacity to lead multidisciplinary teams and drive impactful research initiatives. Additionally, his recognition as one of the world’s top 2% scientists and several prestigious awards underscore his commitment to excellence in research. Overall, Dr. Zhao’s research skills are characterized by a blend of creativity, technical proficiency, and a keen understanding of contemporary challenges in civil engineering, making him a leading candidate for the Research for Best Researcher Award.
Professional Experiences
Dr. Zhipeng Zhao, currently an Assistant Professor at Tongji University, has cultivated a distinguished career in civil engineering, particularly in structural health monitoring and vibration control. He has served as a JSPS Foreign Research Fellow at Tohoku University, Japan, where he engaged in advanced research from 2022 to 2023. Prior to this, he completed a postdoctoral fellowship at the Hong Kong Polytechnic University and City University of Hong Kong. Dr. Zhao’s academic journey began with a Bachelor’s and a Ph.D. in Civil Engineering from Tongji University, where he excelled in his studies. His remarkable contributions to the field are underscored by multiple honors, including recognition as one of the world’s top 2% scientists in 2024 and the prestigious Shanghai Leading Talents (Overseas) Young Talents award in 2022. With an extensive publication record, Dr. Zhao is a leader in innovative anti-seismic structural systems.
Award And Recognition
Dr. Zhipeng Zhao, an Assistant Professor at Tongji University, has garnered significant accolades for his groundbreaking research in civil engineering, particularly in artificial intelligence-based structural health monitoring and seismic resilience. Recognized among the world’s top 2% of scientists in 2024, he has received prestigious awards, including the Shanghai Leading Talents (Overseas) Young Talents in 2022 and the Tongji University’s top ten scientific achievements with transformative potential in 2023. His work has been frequently cited, earning him the Most Cited Articles recognition in Engineering Structures from 2018 to 2021. Notably, Dr. Zhao was honored with first and second prizes for outstanding papers at the National Structural Engineering Academic Conference in 2018 and 2023, respectively, further solidifying his reputation as a leading researcher in his field. His exceptional contributions demonstrate a commitment to advancing civil engineering and improving infrastructure resilience against natural disasters.
Conclusion
In summary, Dr. Zhipeng Zhao exemplifies excellence in civil engineering, particularly in the fields of artificial intelligence-based structural health monitoring and seismic control systems. His impressive academic background, highlighted by a Ph.D. from Tongji University, is complemented by numerous accolades, including recognition as one of the world’s top 2% scientists in 2024. Dr. Zhao’s innovative contributions, reflected in over 40 peer-reviewed publications, demonstrate his commitment to advancing structural resilience against seismic activities. His research not only addresses critical challenges in civil engineering but also significantly impacts the safety and sustainability of urban infrastructure. As an Assistant Professor at Tongji University and a recipient of multiple prestigious awards, Dr. Zhao’s ongoing research initiatives position him as a leader in the field. His dedication to enhancing structural engineering practices makes him a worthy candidate for the Research for Best Researcher Award.
Publication Top Notes
- Seismic response mitigation of a wind turbine tower using a tuned parallel inerter mass system
R. Zhang, Z. Zhao, K. Dai
Engineering Structures, 180, 29-39, 221 citations, 2019
- Damping enhancement principle of inerter system
R. Zhang, Z. Zhao, C. Pan, K. Ikago, S. Xue
Structural Control and Health Monitoring, 27(5), e2523, 147 citations, 2020
- Seismic response mitigation of structures with a friction pendulum inerter system
Z. Zhao, R. Zhang, Y. Jiang, C. Pan
Engineering Structures, 193, 110-120, 125 citations, 2019
- A tuned liquid inerter system for vibration control
Z. Zhao, R. Zhang, Y. Jiang, C. Pan
International Journal of Mechanical Sciences, 164, 105171, 108 citations, 2019
- Optimal design based on analytical solution for storage tank with inerter isolation system
Y. Jiang, Z. Zhao, R. Zhang, D. De Domenico, C. Pan
Soil Dynamics and Earthquake Engineering, 129, 105924, 91 citations, 2020
- Optimal design of an inerter isolation system considering the soil condition
Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
Engineering Structures, 196, 109324, 76 citations, 2019
- Energy dissipation mechanism of inerter systems
Z. Zhao, Q. Chen, R. Zhang, C. Pan, Y. Jiang
International Journal of Mechanical Sciences, 105845, 74 citations, 2020
- Influence of mechanical layout of inerter systems on seismic mitigation of storage tanks
R. Zhang, Z. Zhao, C. Pan
Soil Dynamics and Earthquake Engineering, 114, 639-649, 70 citations, 2018
- Impact of soil–structure interaction on structures with inerter system
Q. Chen, Z. Zhao, R. Zhang, C. Pan
Journal of Sound and Vibration, 433, 1-15, 65 citations, 2018
- A particle inerter system for structural seismic response mitigation
Z. Zhao, R. Zhang, Z. Lu
Journal of the Franklin Institute, Engineering and Applied Mathematics, 356, 54 citations, 2019
- Comfort based floor design employing tuned inerter mass system
Q. Chen, Z. Zhao, Y. Xia, C. Pan, H. Luo, R. Zhang
Journal of Sound and Vibration, 458, 143-157, 47 citations, 2019
- Displacement mitigation–oriented design and mechanism for inerter-based isolation system
Z. Zhao, R. Zhang, N.E. Wierschem, Y. Jiang, C. Pan
Journal of Vibration and Control, 27(17-18), 1991-2003, 46 citations, 2021
- Seismic performance upgrading of containment structures using a negative-stiffness amplification system
Z. Zhao, Y. Wang, X. Hu, D. Weng
Engineering Structures, 262, 114394, 42 citations, 2022
- A negative stiffness inerter system (NSIS) for earthquake protection purposes
Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, C. Pan
Smart Structures and Systems, 26(4), 481-493, 33 citations, 2020
- Enhanced energy dissipation benefit of negative stiffness amplifying dampers
Z. Zhao, Q. Chen, X. Hu, R. Zhang
International Journal of Mechanical Sciences, 240, 107934, 32 citations, 2023
- Input energy reduction principle of structures with generic tuned mass damper inerter
Z. Zhao, R. Zhang, C. Pan, Q. Chen, Y. Jiang
Structural Control and Health Monitoring, 28(1), e2644, 31 citations, 2021
- Interaction of two adjacent structures coupled by inerter-based system considering soil conditions
Z. Zhao, Q. Chen, R. Zhang, Y. Jiang, Y. Xia
Journal of Earthquake Engineering, 26(6), 2867-2887, 28 citations, 2022
- Seismic demand and capacity models, and fragility estimates for underground structures considering spatially varying soil properties
Z. He, H. Xu, P. Gardoni, Y. Zhou, Y. Wang, Z. Zhao
Tunnelling and Underground Space Technology, 119, 104231, 27 citations, 2022
- Analytical optimization of the tuned viscous mass damper under impulsive excitations
Z. Zhao, X. Hu, R. Zhang, Q. Chen
International Journal of Mechanical Sciences, 228, 107472, 25 citations, 2022
- Friction pendulum-strengthened tuned liquid damper (FPTLD) for earthquake resilience of isolated structures
Z. Zhao, X. Hu, Q. Chen, Y. Wang, N. Hong, R. Zhang
International Journal of Mechanical Sciences, 244, 108084, citations not specified.