Assist. Prof. Dr. Vahid Mokarram | structural optimization | Best Researcher Award

Assist. Prof. Dr. Vahid Mokarram | structural optimization | Best Researcher Award

Assist. Prof. Dr. Vahid Mokarram | Jahrom University | Iran

Dr. Vahid Mokarram is an Assistant Professor in the Department of Mechanical Engineering at Jahrom University, Iran ๐Ÿ‡ฎ๐Ÿ‡ท. With expertise in structural engineering, seismic design, and optimization ๐ŸŒ, he has contributed significantly to research and academia. Proficient in programming with ANSYS, MATLAB, OpenSees, and SAP2000 ๐Ÿ’ป, he specializes in designing steel and concrete structures ๐Ÿ—๏ธ. As a reviewer for numerous journals ๐Ÿ“– and a board member of civil engineering publications, he is dedicated to advancing structural engineering and education ๐ŸŽ“.

Professional Profile:

ORCID

Google Scholar

Suitability for Best Researcher Award

Dr. Vahid Mokarram is highly suitable for a Best Researcher Award based on his significant contributions to structural engineering, seismic design, and optimization. His research has played a vital role in enhancing the safety and efficiency of steel and concrete structures, which is crucial for modern infrastructure development.

Education & Experience ๐ŸŽ“๐Ÿ’ผ

  • ๐ŸŽ“ Ph.D. in Structural Engineering – Shiraz University, Iran
  • ๐ŸŽ“ M.Sc. in Structural Engineering – K.N. Toosi University of Technology, Iran
  • ๐ŸŽ“ B.Sc. in Civil Engineering – University of Qom, Iran
  • ๐Ÿ’ผ Assistant Professor at Jahrom University
  • ๐Ÿ’ผ Construction Specialist at the Ministry of Roads and Urban Development
  • ๐Ÿ’ผ University Instructor at multiple Iranian universities
  • ๐Ÿ’ผ Editorial Board Member of engineering journals

Professional Development ๐Ÿš€๐ŸŒŸ

Dr. Mokarram actively engages in research, academic publishing, and structural optimization ๐ŸŒ. His involvement in peer-reviewed journals ๐Ÿ“– and scientific committees ๐Ÿงฌ highlights his contributions to engineering advancements. Through his expertise in seismic retrofit and bridge engineering ๐Ÿ›ฃ๏ธ, he develops innovative design methodologies. A passionate mentor ๐Ÿ‘จโ€๐ŸŽ“, he fosters knowledge transfer through teaching and workshops.

Research Focus ๐Ÿญ๐Ÿ›ฃ๏ธ

Dr. Mokarramโ€™s research covers structural optimization, performance-based design, seismic retrofit, and bridge engineering ๐ŸŒŽ. He integrates computational techniques ๐Ÿค– with real-world applications, improving structural safety โš–๏ธ. His studies on reinforced concrete and steel structures ๐Ÿ—๏ธ enhance resilience and efficiency in construction.

Awards & Honors ๐Ÿ†๐ŸŒŸ

  • ๐Ÿ† Best Paper Award at international civil engineering conferences
  • ๐ŸŒŸ Outstanding Reviewer Award for contributions to scientific journals
  • ๐ŸŒŸ Excellence in Structural Research Award
  • ๐Ÿ† Distinguished Scientist Recognition in civil engineering
  • ๐ŸŒŸ Editorial Excellence Award for contributions to academic publishing

Publication Top Notes:

  • ๐Ÿ“Œ A new PSO-based algorithm for multi-objective optimization with continuous and discrete design variables โ€“ V Mokarram, MR Banan | ๐Ÿ› Structural and Multidisciplinary Optimizationย  ย ๐Ÿ”— Cited by: 69
  • ๐Ÿ“Œ An improved multi-objective optimization approach for performance-based design of structures using nonlinear time-history analyses โ€“ V Mokarram, MR Banan | ๐Ÿ› Applied Soft Computingย  ๐Ÿ”— Cited by: 42
  • ๐Ÿ“Œ Local joint flexibility equations for YT and K-type tubular joints โ€“ B Asgarian, V Mokarram, P Alanjari | ๐Ÿ› Ocean Syst Eng ๐Ÿ”— Cited by: 19
  • ๐Ÿ“Œ A New Fibonacci-based Algorithm for Locating Peak Intensity Measure of IDA Curves โ€“ V Mokarram, MR Banan | ๐Ÿ› Iranian Journal of Science and Technology, Transactions of Civil Engineeringย  ๐Ÿ”— Cited by: 1
  • ๐Ÿ“Œ Modeling considerations for performance-based seismic design of steel moment-resisting frames โ€“ V Mokarram, MR Banan | ๐Ÿ› International Conference on Civil Engineering, Architecture and Urban ย ๐Ÿ”— Cited by: 1

 

 

 

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. Wangโ€™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. ๐Ÿš€๐Ÿ—๏ธ

๐ŸŒ Professional Profile

Orcid

๐Ÿ† Suitability for Best Researcher Awardย 

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. ๐Ÿ…๐Ÿ”ฌ

๐Ÿ“š Education

  • Ph.D. in Bridge and Tunnel Engineering (2007โ€“2010) โ€“ Wuhan University of Technology ๐ŸŽ“

    • 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 (2019โ€“2020) โ€“ The University of Queensland, Australia ๐ŸŒ

    • 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. ๐ŸŽ“๐Ÿ“–

๐Ÿ‘จโ€๐Ÿ”ฌ Experienceย 

  • Associate Professor, China Three Gorges University (2015โ€“Present) ๐Ÿ—๏ธ

    • 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 (2011โ€“2015) ๐Ÿ“š

    • Promoted to Associate Professor in 2015
  • Assistant Engineer, China Communications Construction Company (2002โ€“2004) ๐Ÿšง

    • Worked on highway base and surface construction
  • Visiting Researcher, The University of Queensland (2019โ€“2020) ๐ŸŒ

    • 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. ๐Ÿ”๐Ÿ—๏ธ

๐Ÿ… Awards and Honors

  • Outstanding PhD Dissertation Award (2010) โ€“ Wuhan University of Technology ๐ŸŽ“๐Ÿ†
  • Excellent Instructor Award (2014, 2017, 2018) โ€“ “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition ๐Ÿ…๐Ÿ‘จโ€๐Ÿซ
  • National Natural Science Foundation of China (NSFC) Grant Recipient โ€“ Led multiple funded research projects ๐Ÿ’ฐ๐Ÿ”ฌ
  • China Scholarship Council Award (2019โ€“2020) โ€“ Fully funded visiting scholar at The University of Queensland ๐Ÿ‡จ๐Ÿ‡ณ๐ŸŒ
  • 60+ Patents & 5 Software Copyrights โ€“ Innovations in bridge engineering, AI models, and disaster protection ๐Ÿ—๏ธ๐Ÿ’ก

Mr. Wangโ€™s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. ๐ŸŒŸ๐ŸŽ–๏ธ

๐Ÿ”ฌ Research Focusย 

Mr. Feng Wangโ€™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. ๐ŸŒ‰๐Ÿ’ก

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with Chinaโ€™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. ๐Ÿ—๏ธ๐Ÿ”

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