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. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu, China University of Mining and Technology, China

Kailiang Lu is a dedicated Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s in Geophysics. Known for his academic excellence, Kailiang progressed directly from his Master’s studies to a doctoral program, reflecting his strong performance and commitment to research. His work focuses on 3D transient electromagnetic forward modeling and transient electromagnetic migration imaging, contributing valuable insights to the field of geophysics. Kailiang has received several awards, including the National Scholarship for Postgraduate Students and the Outstanding Graduate Student Scholarship at Chang’an University in 2018 and 2019.

Professional Profile:

Google Scholar
Orcid

Suitability for the Award:

Kailiang’s research directly aligns with the objectives of the Best Researcher Award, as he has demonstrated both technical innovation and a strong publication record in geophysical methods. His achievements in developing computational algorithms for transient electromagnetic data modeling position him as an influential researcher in the field of geological engineering.

Academic Background:

Kailiang Lu is a Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s and Master’s studies in Geophysics. Due to his exceptional academic performance, Kailiang transitioned directly to his doctoral studies, bypassing the requirement for a formal master’s degree.

Research Focus:

Kailiang’s research specializes in 3D Transient Electromagnetic Forward Methods and Transient Electromagnetic Migration Imaging, where he advances imaging and analysis techniques in geological studies.

Awards & Honors:

His academic journey is marked by multiple recognitions, including the Outstanding Graduate Student Scholarship (2018, 2019) and the prestigious National Scholarship for Postgraduate Students. These accolades underscore his dedication and achievements in geophysical research and innovation.

Publication Top Notes:

  • New multi-resolution and multi-scale electromagnetic detection methods for urban underground spaces
    • Citations: 19
    • Year: 2018
  • A precise integration transform algorithm for transformation from the transient electromagnetic diffusion field into the pseudo wave field
    • Citations: 16
    • Year: 2021
  • The application of multi-grounded source transient electromagnetic method in the detections of coal seam goafs in Gansu Province, China
    • Citations: 15
    • Year: 2021
  • Second-order Born approximation imaging algorithm for transient electromagnetic pseudo wave-field
    • Citations: 10
    • Year: 2022
  • A new method for space-based detecting small-scale space debris with high-resolution using transient electromagnetism
    • Citations: 9
    • Year: 2018

 

 

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

Dr. Olumuyiwa Otegbeye, University of the Witwatersrand, South Africa

Dr. Olumuyiwa Otegbeye is a dedicated academic with a rich background in applied mathematics. He earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, where he also completed his M.Sc. and B.Sc. Hons. degrees, and holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University. Dr. Otegbeye has served as a Lecturer at the University of the Witwatersrand, Johannesburg, and held postdoctoral and teaching positions at the University of KwaZulu-Natal. His early career included teaching mathematics at Nigeria Defence Academy Primary School. He boasts an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, reflecting his significant scholarly impact. Additionally, Dr. Otegbeye contributes as a reviewer for prominent journals such as Mathematics (MDPI), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

🌍 Professional Profile

Orcid
Scopus
Google Schalor

Suitability for Best Researcher Award:

Dr. Olumuyiwa Otegbeye is a strong candidate for the Best Researcher Award due to his comprehensive achievements in applied mathematics, evidenced by his research impact, teaching roles, and contributions to postgraduate supervision. His active participation in academic communities and his notable bibliometric performance further affirm his qualifications for this recognition.

🎓 Academic Qualifications:

Dr. Otegbeye earned his Ph.D. in Applied Mathematics from the University of KwaZulu-Natal, following an M.Sc. and B.Sc. Hons. in Applied Mathematics from the same institution. He also holds a B.Sc. Hons. in Pure and Applied Mathematics from Bowen University.

🌍 Ratings and Citations:

His scholarly impact is notable, with an H-Index of 7 on Google Scholar, 6 on Scopus, and 4 on Web of Science, along with significant citations across these platforms.

📈 Reviewer Experience:

Dr. Otegbeye reviews for prominent journals including Mathematics (MDPI Publishing House), Axioms, International Journal of Modern Physics B, and Mathematics and Computers in Simulation.

📚 Current and Previous Positions:

Dr. Olumuyiwa Otegbeye has held several academic roles, including Lecturer at the University of the Witwatersrand, Johannesburg, from January 2021 to March 2024. Prior to this, he was a Postdoctoral Fellow at the University of KwaZulu-Natal (May 2019 – December 2020) and served as an Adhoc Mathematics Lecturer and Demonstrator/Tutor at the same institution. He began his academic career as a Mathematics Teacher at Nigeria Defence Academy Primary School.

Publication Top Notes:

  • Title: Magnetohydrodynamic Bio-Convective Casson Nanofluid Flow: A Numerical Simulation by Paired Quasilinearisation
    • Cited by: 33
    • Year: 2020
  • Title: A Machine Learning Solution Framework for Combatting COVID-19 in Smart Cities from Multiple Dimensions
    • Cited by: 32
    • Year: 2020
  • Title: A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19
    • Cited by: 29
    • Year: 2021
  • Title: A Paired Quasi-Linearization on Magnetohydrodynamic Flow and Heat Transfer of Casson Nanofluid with Hall Effects
    • Cited by: 20
    • Year: 2019
  • Title: Wind Energy Resource Assessment in South Western of Algeria
    • Cited by: 19
    • Year: 2019

 

 

 

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