Mr. Feng Wang | Computational Analysis | Best Researcher Award

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. Wang’s 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. 🚀🏗️

🌏 Professional Profile

Orcid

🏆 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 “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. 🏅🔬

📚 Education

  • Ph.D. in Bridge and Tunnel Engineering (2007–2010) – Wuhan University of Technology 🎓

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering
  • Visiting Scholar (2019–2020) – The University of Queensland, Australia 🌏

    • 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. 🎓📖

👨‍🔬 Experience 

  • Associate Professor, China Three Gorges University (2015–Present) 🏗️

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering
  • Lecturer, China Three Gorges University (2011–2015) 📚

    • Promoted to Associate Professor in 2015
  • Assistant Engineer, China Communications Construction Company (2002–2004) 🚧

    • Worked on highway base and surface construction
  • Visiting Researcher, The University of Queensland (2019–2020) 🌏

    • 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. 🔍🏗️

🏅 Awards and Honors

  • Outstanding PhD Dissertation Award (2010) – Wuhan University of Technology 🎓🏆
  • Excellent Instructor Award (2014, 2017, 2018) – “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition 🏅👨‍🏫
  • National Natural Science Foundation of China (NSFC) Grant Recipient – Led multiple funded research projects 💰🔬
  • China Scholarship Council Award (2019–2020) – Fully funded visiting scholar at The University of Queensland 🇨🇳🌏
  • 60+ Patents & 5 Software Copyrights – Innovations in bridge engineering, AI models, and disaster protection 🏗️💡

Mr. Wang’s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. 🌟🎖️

🔬 Research Focus 

Mr. Feng Wang’s 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. 🌉💡

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with China’s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. 🏗️🔍

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

 

 

 

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz, Comwave Institue, Pakistan

Dr. Yasir Nawaz is an esteemed mathematician and Assistant Professor at Comwave Institute of Science & Information Technology, Pakistan, where he has been serving since November 2023. He completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, focusing on Numerical Techniques for Boundary Layer Problems. Prior to his doctoral studies, he earned an M.Phil in Pure Mathematics as a Gold Medalist from Quaid-i-Azam University Islamabad and an M.Sc. in Mathematics from the same institution. Dr. Yasir’s research proficiency extends to Matlab, Mathematica, and Comsol, where he applies his expertise in coding, simulations, and algebraic computations. With a strong academic background and a commitment to teaching, he has held various positions, including Lecturer at Hitec University Taxila, Visiting Faculty Member at Nu-Fast, and an online instructor for international students, garnering top honors throughout his educational and professional journey.

Professional Profile:

Scopus

🏫 Academic Qualifications:

Dr. Yasir Nawaz completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, Pakistan (2017-2020), achieving a perfect C.G.P.A of 4/4. His doctoral thesis focused on Numerical Techniques for Boundary Layer Problems. Prior to this, he earned an M.Phil in Pure Mathematics (Gold Medalist) from Quaid-i-Azam University Islamabad, Pakistan (2006-2008), with a thesis on (α, β)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

📜 Educational Achievements:

  • First Position in M.Phil at the Department of Mathematics and the Faculty of Natural Sciences, Quaid-i-Azam University.
  • Second Position in B.Sc-II Punjab University Exam 2004 at F.G. Sir Syed College, The Mall Rawalpindi Cantt.

👨‍🏫 Professional Experience:

Dr. Yasir has held various academic positions, including:

  • Lecturer at the Department of Mechanical Engineering, Hitec University Taxila, Pakistan.
  • Visiting Faculty Member at Nu-Fast.
  • Online Teacher for international students.
  • Assistant Professor at Comwave Institute of Science & Information Technology (since November 2023).

💻 Research and Skills:

His research expertise includes Numerical Techniques for Boundary Layer Problems, with proficiency in software tools such as Matlab, Mathematica, and Comsol for coding, simulations, and algebraic computations.

🌍 Distinctions and Honors:

  • Achieved first positions in M.Phil at both the departmental and faculty levels.
  • Secured top positions in B.Sc. and intermediate exams.

Publication Top Notes:

  • Title: A two-stage multi-step numerical scheme for mixed convective Williamson nanofluid flow over flat and oscillatory sheets
    • Year: 2024
  • Title: Fractal Numerical Investigation of Mixed Convective Prandtl-Eyring Nanofluid Flow with Space and Temperature-Dependent Heat Source
    • Year: 2024
  • Title: A two-stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid
    • Year: 2024
  • Title: A Hybrid SIR-Fuzzy Model for Epidemic Dynamics: A Numerical Study
    • Year: 2024
  • Title: Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity
    • Year: 2024