Prof Dr. Zhenyu Zhao | Computational Mathematics | Best Researcher Award

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Prof Dr. Zhenyu Zhao | Computational Mathematics | Best Researcher Award

Prof Dr. Zhenyu Zhao, Shandong University of Technology, China

Prof. Dr. Zhenyu Zhao is a distinguished professor at Shandong University of Technology in Zibo, China, since October 2019, following a notable academic tenure at Guangdong Ocean University, where he served as a professor and associate professor from 2008 to 2019. He completed his postdoctoral research at Fudan University (2010-2012) and earned his Doctor of Science degree at Shanghai University (2004-2008), along with a Master of Science from Hebei University of Technology (2001-2004). A dedicated researcher, Prof. Zhao has led significant projects, including a National Natural Science Foundation of China initiative and an innovation project in Guangdong, securing substantial funding for both. His commitment to mathematics and statistics not only advances scholarly research but also inspires the next generation of students in his field.

Professional Profile

Scopus

Suitability for the Best Researcher Award:

Prof. Zhenyu Zhao’s long-standing contributions to the field of applied mathematics, his successful leadership in significant national research projects, and his impactful publications make him a strong candidate for the Best Researcher Award. His work on numerical differentiation and inverse problems, along with his innovative application of regularization methods, highlights his role as a leader in advancing computational mathematics. His ability to secure research funding and his influence in mathematical research through highly cited publications further underscore his importance in the academic community.

Academic Background:

Prof. Dr. Zhenyu Zhao is a distinguished professor at Shandong University of Technology in Zibo, China, since October 2019. He previously served at Guangdong Ocean University in Zhanjiang, China, where he held professorship roles from December 2015 to September 2019 and served as an associate professor from October 2008 to November 2015. He completed his postdoctoral research at Fudan University in Shanghai (2010-2012) and earned his Doctor of Science degree at Shanghai University (2004-2008). Additionally, he holds a Master of Science degree from Hebei University of Technology (2001-2004).

Research Contributions:

Prof. Zhao has actively contributed to the field through several significant research projects, including a National Natural Science Foundation of China project (2013-2015) with total funding of 220,000 RMB and an innovation project in Guangdong (2018-2022) that received 600,000 RMB in funding.

Impact and Legacy:

With a strong commitment to mathematics and statistics, Prof. Zhao continues to inspire students and advance research in his field, showcasing excellence in both education and scholarly contributions. 🌟

Publication Top Notes:

  • Title: Numerical differentiation for two-dimensional scattered data on arbitrary domain based on Hermite extension with an implicit iteration process
    • Publication Year: 2022
    • Citations: 1
  • Title: A numerical differentiation method based on Legendre expansion with super order Tikhonov regularization
    • Publication Year: 2021
    • Citations: 2
  • Title: A Hermite extension method for numerical differentiation
    • Publication Year: 2021
    • Citations: 5
  • Title: Identifying an Unknown Source in the Poisson Equation with a Super Order Regularization Method
    • Publication Year: 2020
    • Citations: 3
  • Title: Numerical differentiation for two-dimensional functions by a Fourier extension method
    • Publication Year: 2020
    • Citations: 8

 

 

 

Dr. Olumuyiwa Otegbeye | Numerical Methods | Best Researcher Award

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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. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

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Dr. Majeed Ahmad Yousif | Numerical Methods Awards | Best Researcher Award

Dr. Majeed Ahmad Yousif, University of Zakho, Iraq

Dr. Majeed Ahmad Yousif is a dedicated researcher and lecturer in Mathematics at the University of Zakho in Duhok, Iraq, where he has been contributing to academia since October 25, 2011. Currently pursuing a Ph.D. in Mathematics at the same institution, Dr. Yousif focuses his research on Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His scholarly work aims to advance computational techniques for solving intricate mathematical problems, particularly in fluid mechanics and differential equations, making notable contributions to the field of numerical analysis.

Professional Profile:

Orcid

🎓 Education:

Dr. Majeed Ahmad Yousif is currently pursuing a Ph.D. in Mathematics at the University of Zakho in Duhok, Iraq. His academic journey underscores his dedication to advancing knowledge in mathematics, focusing on specialized research and scholarly pursuits at the university.

💼 Employment:

Dr. Majeed Ahmad Yousif has been a dedicated Lecturer in Mathematics at the University of Zakho in Duhok, Iraq, since October 25, 2011. With over a decade of experience in academia, he has contributed significantly to the university’s educational mission, imparting knowledge and fostering intellectual growth among students. Dr. Yousif’s commitment to mathematics education underscores his passion for teaching and his role in shaping the next generation of scholars in Iraq.

🔍 Research Focus:

Dr. Majeed Ahmad Yousif is a distinguished researcher specializing in Numerical Differential Equations, Numerical Methods, Numerical Fluid Mechanics, Non-polynomial spline methods, and Numerical Fractional Differential Equations. His expertise lies in advancing computational techniques to solve complex mathematical problems, particularly in fluid mechanics and differential equations. Dr. Yousif’s research contributions have significantly impacted the field of numerical analysis, emphasizing innovative approaches to enhance accuracy and efficiency in computational modeling and simulations.

Publication Top Note:

  • Title: Efficient Simulation of Time-Fractional Korteweg-de Vries Equation via Conformable-Caputo Non-Polynomial Spline Method
    • Date: 2024-06-26
  • Title: A Computational Study of Time-Fractional Gas Dynamics Models by Means of Conformable Finite Difference Method
    • Date: 2024-06-19
  • Title: On Multiple-Type Wave Solutions for the Nonlinear Coupled Time-Fractional Schrödinger Model
    • Date: 2024-05-03
  • Title: The Fractional Non-Polynomial Spline Method: Precision and Modeling Improvements
    • Date: 2024-04
  • Title: Some New Fractional Inequalities Defined Using cr-Log-h-Convex Functions and Applications
    • Date: 2024-04-01