Nasrin Samadyar | Numerical Analysis | Best Researcher Award

Published on by Global Network Awards

Best Researcher Award

Nasrin Samadyar – Kermanshah University of Technology, Iran

Nasrin Samadyar
Affiliation Kermanshah University of Technology
Country Iran
Scopus ID 57190257270
Documents 44
Citations 1,676
h-index 30
Subject Area Numerical Analysis
Event Global Network Awards
ORCID 0000-0001-8556-8508

Nasrin Samadyar is a researcher affiliated with Kermanshah University of Technology, Iran, and her publications address numerical algorithms for differential and integral equations, combining approximation theory, meshfree techniques, and computational analysis to investigate problems arising across applied mathematics and engineering.

Abstract

Nasrin Samadyar’s research examines numerical methods for stochastic, fractional, and nonlinear differential and integral equations. Her published work explores radial basis functions, meshfree approximation, finite difference schemes, operational matrices, and orthogonal polynomial techniques. These approaches convert complex mathematical models into tractable algebraic systems and support computational investigation of solutions, stability, convergence, and error behavior. Applications include stochastic advection–diffusion processes, Fredholm integral equations, and time-fractional wave models. Her publication record reflects sustained engagement with computational mathematics and numerical analysis, particularly methods designed for multidimensional problems, irregular domains, and models involving uncertainty or fractional-order dynamics in applied scientific settings and reproducibility assessment. [1]

Keywords

Numerical Analysis, Fractional Differential Equations, Stochastic Differential Equations, Meshfree Methods, Radial Basis Functions, Finite Difference Methods, Stochastic Integral Equations, Fredholm Integral Equations, Orthogonal Polynomials, Computational Mathematics, Fractional Stochastic Advection–Diffusion, Sine–Gordon Equations, Operational Matrices, Numerical Approximation, Mathematical Modelling. [4]

Introduction

Nasrin Samadyar’s publications contribute to computational approaches for mathematical problems that are challenging analytically. Her research addresses fractional differential equations, stochastic integral equations, and nonlinear models through numerical approximation. The work combines formulation with implementation, emphasizing accuracy, convergence, and treatment of domains in applied mathematics and engineering research and related disciplines scholarship. [2]

Research Profile

Nasrin Samadyar is affiliated with Kermanshah University of Technology in Iran and is identified in databases through Scopus and ORCID records. Her research areas include numerical analysis, applied mathematics, stochastic processes, and computational modelling. Publication topics feature fractional equations, meshfree methods, radial basis functions, and polynomial-based numerical techniques across journals. [1]

Research Contributions

Nasrin Samadyar’s research contributions include numerical schemes for fractional stochastic advection–diffusion equations, stochastic Fredholm integral equations, and time-fractional Sine–Gordon models. Her co-authored studies combine finite difference discretization with radial basis function approximations, while other work develops operational matrices and orthogonal polynomial methods for integral and integro-differential equations and convergence analysis.

Publications

Nasrin Samadyar’s publication record includes studies on stochastic integral equations, fractional differential models, and meshfree computational methods. Representative articles examine two-dimensional Fredholm equations, fractional stochastic advection–diffusion, and Sine–Gordon equations. The publications demonstrate recurring use of radial basis functions, finite difference schemes, and polynomial approximation in numerical analysis across several years. [3] [4] [5]

Research Impact

Nasrin Samadyar’s research supports computational mathematics by presenting numerical strategies for equations with stochastic, fractional, or multidimensional characteristics. The cited literature situates this work within numerical analysis and mathematical modelling. Potential scientific and engineering applications include transport phenomena, wave propagation, and other complex systems represented through differential or integral equations. [4]

Award Suitability

Nasrin Samadyar’s research output aligns with recognition in numerical analysis through its focus on computational methods for fractional and stochastic equations. Publication themes demonstrate methodological contributions, collaborative scholarship, and applications to mathematical modelling. A balanced award assessment should carefully consider verified publications, citation indicators, research quality, and documented originality and influence where appropriate. [1]

Conclusion

Nasrin Samadyar’s profile reflects continuing work in numerical analysis, stochastic modelling, and computational methods for fractional equations. Her publications describe approaches combining approximation techniques with numerical discretization to study challenging mathematical systems. The profile provides a basis for evaluating contributions through independently verifiable scholarly records and supporting evidence for reviewers.[3] [4]

References

  1. Elsevier. (n.d.). Scopus author details: Nasrin Samadyar, Author ID 57190257270. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57190257270
  2. ORCID. (n.d.). Nasrin Samadyar: ORCID researcher record.https://orcid.org/0000-0001-8556-8508
  3. Samadyar, N., & Mirzaee, F. (2020). Numerical solution of two-dimensional stochastic Fredholm integral equations on hypercube domains via meshfree approach. Journal of Computational and Applied Mathematics, 377, 112875.https://doi.org/10.1016/j.cam.2020.112875
  4. Mirzaee, F., & Samadyar, N. (2020). Combination of finite difference method and meshless method based on radial basis functions to solve fractional stochastic advection–diffusion equations. Engineering with Computers, 36, 1673–1686.https://doi.org/10.1007/s00366-019-00789-y
  5. Mirzaee, F., Rezaei, S., & Samadyar, N. (2021). Numerical solution of two-dimensional stochastic time-fractional Sine–Gordon equation on non-rectangular domains using finite difference and meshfree methods. Engineering Analysis with Boundary Elements, 127, 53–63.https://doi.org/10.1016/j.enganabound.2021.03.009

Mrs. Nancy Mukwevho | Numerical analysis | Best Researcher Award

Published on by Global Network Awards

Mrs. Nancy Mukwevho | Numerical analysis | Best Researcher Award

Mrs. Nancy Mukwevho, university of venda/Rhodes university, South Africa

Nancy Mukwevho is a dedicated academic currently pursuing a Ph.D. in Science at Rhodes University, focusing on “Pseudo-Spectral Methods for Fractional Differential Equations.” She holds a Master’s Degree in Mathematics from the University of Venda, where her research concentrated on the numerical analysis of MHD mixed convection flow. Her educational background includes a Bachelor of Science and an Honours Degree in Mathematics from the University of Venda. Nancy has earned certificates in MATLAB Fundamentals and MATLAB Onramp. She has extensive teaching experience, currently serving as a Lecturer at the University of Venda, where she has also held roles as a Junior Lecturer and Part-time Lecturer. Additionally, Nancy has experience as an Intern at the University of Limpopo and a Contract Educator at Mphaphuli High School. Her multilingual skills include proficiency in Tshivenda and English, with additional capabilities in Tsonga and Sotho.

Professional Profile🌍

Scopus

Suitability for Best Researcher Award:

Mrs. Nancy Mukwevho is a strong candidate for the Best Researcher Award based on her extensive academic background, significant research contributions, and dedication to teaching and mentoring students. Her work in numerical methods and MHD flow demonstrates a high level of expertise and innovation in applied mathematics. Her ongoing pursuit of a Ph.D. further indicates her commitment to advancing knowledge in her field. Her publications in reputable journals highlight her research’s impact and relevance, making her a deserving candidate for this recognition.

Education 🎓

Nancy Mukwevho completed her high school education at Mphaphuli High School in 2001. She holds a Bachelor of Science in Mathematics and Applied Mathematics from the University of Venda (2007). She further pursued an Honours Degree in Mathematics at the same institution (2008) and obtained a Master’s Degree in Mathematics by Research in 2018. Her master’s research focused on the “Numerical Analysis of Unsteady MHD Mixed Convection Flow Past an Infinite Vertical Plate in the Presence of Dufour and Soret Effect with Viscous Dissipation.” Nancy is currently pursuing a Ph.D. in Science at Rhodes University, with research on “Pseudo-Spectral Methods for Fractional Differential Equations.”

Certificates 📜

Nancy has earned certificates in MATLAB Fundamentals (2021) and MATLAB Onramp (2024).

Language Competencies 🌍

  • Tshivenda: Good (Speak, Read, Write)
  • English: Good (Speak, Read, Write)
  • Tsonga: Fair (Speak), Poor (Read, Write)
  • Sotho: Fair (Speak), Poor (Read, Write)

Professional Experience 🏫

  • University of Venda
    • Lecturer (October 2019 – Present): Lecturing, mentoring students, coordinating mathematics modules, supervising honours projects, and participating in committees.
    • Junior Lecturer (July 2015 – October 2019): Lecturing, mentoring, and managing student records.
    • Part-time Lecturer (September 2009 – December 2009): Facilitating lectures and managing student records.
    • Tutor (2007-2009): Assisting lecturers, marking assignments, and facilitating tutorials.
  • University of Limpopo (Turfloop Campus)
    • Intern (April 2010 – March 2011): Facilitating tutorials, managing student records, and supervising tutors.
  • Department of Education in Partnership with University of Venda at Mphaphuli High School
    • Contract Educator (June 2009): Facilitating classes and assessing pupil performance.

Publication Top Notes:

  • Numerical Study of Unsteady MHD Flow of Eyring-Powell Fluid Over a Permeable Stretching Sheet in a Porous Medium with the Effect of Heat Source/Sink
  • Numerical Analysis of Unsteady MHD Mixed Convection Flow Past an Infinite Vertical Plate in the Presence of Dufour and Soret Effect with Viscous Dissipation