Liudi Wang | wireless positioning | Best Researcher Award

Mr. Liudi Wang | wireless positioning | Best Researcher Award

Mr. Liudi Wang at China University of Mining and Technology, China

๐Ÿ‘จโ€๐ŸŽ“ Profile

๐Ÿ“š Summary

Liudi Wang is a dedicated electronics engineer with a strong foundation in circuit design and communication principles. With a GPA of 3.6 from Suzhou University of Science and Technology, he excels in both theoretical and practical applications of technology.

๐ŸŽ“ Education

Suzhou University of Science and Technology
Bachelor’s Degree in Electronics Engineering
Major Courses: Circuit Analysis, Analog Electronics, Digital Electronics, Principles of Communication, Signals and Systems
GPA: 3.6
2018.09 – 2022.06

๐Ÿ’ผ Professional Experience

Liudi has hands-on experience in programming and simulation environments, including Matlab, C, Verilog, and Python. He has also utilized advanced experimental platforms like Baidu Apollo and Wireless Insite, showcasing his versatility in various technical projects.

๐Ÿ”ฌ Research Interests

His research interests lie in circuit design and communication systems, with a focus on optimizing signal processing and exploring innovative electronic solutions.

๐ŸŽจ Interests and Skills

Outside of engineering, Liudi enjoys calligraphy, playing the clarinet, and basketball, reflecting his diverse skill set and creativity.

๐Ÿ“–ย  Top Noted Publication
  • Author: Qingsong Hu, Liudi Wang, Yujia Luo, Yuanxun Cheng, Zhihao Kou, Zhiwei Xie
  • Journal: Measurement
  • Year: 2024

Zhengyi FU | Structural Engineering | Best Researcher Award

Mr. Zhengyi FU, Structural Engineering, Best Researcher Award

Mr. Zhengyi FU at city university of Hong Kong, Hong Kong

Professional Profile

Scopus Profile
Google Scholar Profile

๐ŸŒŸSummary

Fu Zhengyi is a dedicated researcher in the field of structural engineering, currently pursuing his Ph.D. at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. With a strong academic background including a Master’s from Central South University and a Bachelor’s from Nanchang University, his research focuses on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. Fu Zhengyi’s work, highlighted by publications in renowned journals and participation in significant research projects, aims to innovate methodologies that enhance the reliability and efficiency of structural assessment practices. His career aspirations include contributing to the advancement of structural health monitoring technologies to ensure the resilience and safety of civil infrastructure.

๐ŸŽ“ย Education

Fu Zhengyi completed his Ph.D. in Structural Engineering at City University of Hong Kong under the supervision of Prof. Lam Heung Fai. Prior to this, he obtained a Master’s degree from Central South University and a Bachelor’s degree from Nanchang University. His academic journey has been marked by a strong foundation in engineering principles and a specialization in structural dynamics and modal analysis. Throughout his education, Fu Zhengyi has demonstrated a commitment to excellence, earning distinctions such as a National Scholarship during his Master’s studies and multiple scholarships for outstanding academic performance during his Bachelor’s degree. His research interests include modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in enhancing structural assessment methodologies.

๐Ÿ’ผ Professional Experience

Fu Zhengyi has accumulated extensive experience in the field of structural engineering, focusing primarily on modal identification, modal updating, damage detection, response reconstruction, and the application of artificial intelligence in structural dynamics. His research has been published in reputable journals such as Engineering Structures and Mechanical Systems & Signal Processing. During his doctoral studies at City University of Hong Kong, under the guidance of Prof. Lam Heung Fai, Fu Zhengyi developed expertise in dynamic response reconstruction methodologies and Bayesian modal analysis. His contributions extend to practical applications, including participation in research projects such as the topographic wind parameter test of Nujiang Bridge and the excitation and vibration measurement experiment on Hongyan Village Bridge. Fu Zhengyi’s professional journey underscores a commitment to advancing the understanding and management of structural behavior through innovative research and practical experimentation.

๐Ÿ”ฌย Research Interests

Fu Zhengyi’s research interests span a diverse array of topics within structural engineering, with a particular emphasis on modal identification, modal updating, damage detection, response reconstruction, and the integration of artificial intelligence techniques. His work aims to advance the understanding and application of modal analysis methods to enhance the reliability and efficiency of structural assessment and maintenance practices. Fu Zhengyi is particularly passionate about developing innovative approaches that leverage Bayesian methodologies for modal analysis and exploring the potential of artificial intelligence algorithms to optimize response reconstruction and damage detection processes. His research contributions aim to address current challenges in structural health monitoring and contribute to the resilience and longevity of civil infrastructure.

๐Ÿ“– Publication Top Noted

Article: A response reconstruction method based on empirical mode decomposition and modal synthesis method

  • Authors: Jinsong Yang, Zhengyi Fu, Yunfeng Zou, Xuhui He, Xiaojun Wei, Tiantian Wang

  • Journal: Mechanical Systems and Signal Processing

  • Year: 2023

  • Citation: 16

Article: An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition

  • Authors: Zheng Yi Fu, Mujib Olamide Adeagbo, Heung Fai Lam

  • Journal: International Journal of Structural Stability and Dynamics

  • Year: 2023

  • Citation: 3

Article: Dynamic Response Reconstruction Method Based on Empirical Mode Decomposition and Model Condensation

  • Authors: ZOU Yun-feng, FU Zheng-yi, HE Xu-hui, LU Xuan-dong, YANG Jin-song, ZHOU Shuai

  • Year: 2021

  • Citation: 3

Article: Time-domain structural model updating following the Bayesian approach in the absence of system input information

  • Authors: Heung Fai Lam, Fu Zheng Yi, Mujib Olamide Adeagbo, Jia Hua Yang

  • Journal: Engineering structures

  • Year: 2024

Article: A new time-domain dynamic response reconstruction method based on model condensation

  • Authors: ZY FU, HF LAM

  • Journal: The 26th Annual Conference of HKSTAM 2023 The 18th Shanghaiโ€“Hong Kong Forum on Mechanics and Its Application

  • Year: 2023