Mr. Feng Wang | Computational Analysis | Best Researcher Award
Mr. Feng Wang, China Three Gorges University, China
Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wangβs contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. πποΈ
π Professional Profile
Orcid
π Suitability for Best Researcher Award
Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an βExcellent Instructorβ underscores his dedication to academia. Mr. Wangβs research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. π π¬
π Education
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Ph.D. in Bridge and Tunnel Engineering (2007β2010) β Wuhan University of Technology π
- Dissertation: βGeometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridgesβ
- Awarded Outstanding PhD Dissertation Award
- Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering
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Visiting Scholar (2019β2020) β The University of Queensland, Australia π
- Fully funded by the China Scholarship Council
- Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures
His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. ππ
π¨βπ¬ Experience
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Associate Professor, China Three Gorges University (2015βPresent) ποΈ
- Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
- Supervises Masterβs students in civil and electrical engineering
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Lecturer, China Three Gorges University (2011β2015) π
- Promoted to Associate Professor in 2015
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Assistant Engineer, China Communications Construction Company (2002β2004) π§
- Worked on highway base and surface construction
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Visiting Researcher, The University of Queensland (2019β2020) π
- Specialized in long-span cable structure dynamics
With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. πποΈ
π Awards and Honors
- Outstanding PhD Dissertation Award (2010) β Wuhan University of Technology ππ
- Excellent Instructor Award (2014, 2017, 2018) β βGaojiao Cupβ National College Studentsβ Advanced Drawing Technology Competition π π¨βπ«
- National Natural Science Foundation of China (NSFC) Grant Recipient β Led multiple funded research projects π°π¬
- China Scholarship Council Award (2019β2020) β Fully funded visiting scholar at The University of Queensland π¨π³π
- 60+ Patents & 5 Software Copyrights β Innovations in bridge engineering, AI models, and disaster protection ποΈπ‘
Mr. Wangβs recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. πποΈ
π¬ Research Focus
Mr. Feng Wangβs research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. ππ‘
By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with Chinaβs Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. ποΈπ
Publication Top Notes:
Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024
, is a researcher at the Institute for Datability Science, Osaka University 
. With a Ph.D. from National Tsing Hua University (NTHU) 
, his research focuses on vision-language matching and 
. He has worked as an AI researcher at vivo AI Lab and as an exchange student at Shenzhen Key Laboratory of Visual Object Detection and Recognition. Proficient in multiple languages 
and programming 
, Dr. Keβs work bridges cutting-edge AI technologies and innovative computational methods.
Researcher (2024βPresent)
AI Researcher (2018β2019)
Exchange Student (2016β2018)
. His Ph.D. research at NTHU explored graph-based perspectives for referring expression comprehension, advancing the intersection of vision and language technologies 
. With hands-on experience in AI innovation at vivo AI Lab and collaboration with top-tier research labs, he has honed his expertise in diffusion models and image/video analysis 
. Proficient in coding languages like Python and PyTorch 
.
, with a keen focus on 
. His work addresses challenges in vision-language matching, exploring graph-based approaches to enhance comprehension and generalization capabilities 
. Passionate about advancing AI technologies, he delves into areas like sparse representation and encryption algorithms 
. By integrating robust coding skills in Python and PyTorch with theoretical foundations, his research contributes to groundbreaking advancements in artificial intelligence and computational methodologies 
Best Paper Award β Recognized for excellence in vision-language research.
Graduate Fellowship β National Tsing Hua University, Taiwan.
Outstanding Thesis Award β Shaanxi Normal University, China.
Research Excellence Recognition β vivo AI Lab, 2019.
Academic Merit Scholarship β Southwest Minzu University, China.
An improvement to linear regression classification for face recognition β 26 citations, published in International Journal of Machine Learning and Cybernetics, 2019.
Referring Expression Comprehension via Enhanced Cross-modal Graph Attention Networks β 12 citations, published in ACM TOMM, 2022.
, focusing on Point Cloud and 
, he has published impactful research on panoramic image stitching and disease detection in crops 
. Yi has also developed an APP for Huanglongbing disease detection 
and holds an invention patent. Skilled in programming languages, machine learning, and Linux systems, he is passionate about advancing agricultural technology through innovation.
Patent: Developed a Huanglongbing detection app, earning a patent and software copyright.
. Yiβs academic and technical pursuits are complemented by his strong ability to interpret English literature 
, enabling him to stay abreast of global advancements. His contributions aim to enhance agricultural precision and productivity through cutting-edge applications 
.
. His dedication to applying AI and machine learning in agriculture bridges the gap between technology and sustainable farming 
.
2019: Excellent Award in the National NetGuard Security Cup