Suresh Kumar Sahani | Mathematics | Best Researcher Award

Best Researcher Award

Suresh Kumar Sahani
Rajarshi Janak University, Nepal

Suresh Kumar Sahani
Affiliation Rajarshi Janak University
Country Nepal
Scopus ID 57223362001
Documents 44
Citations 536
h-index 9
Subject Area Mathematics
Event International Forensic Scientist Awards
ORCID 0000-0002-3978-8734

Suresh Kumar Sahani is a mathematics researcher affiliated with Rajarshi Janak University, Nepal. His indexed research record comprises 44 documents, 536 citations, and an h-index of 9 according to the supplied Scopus profile information.[1] His recent publications demonstrate the application of mathematical and computational approaches to interdisciplinary problems involving sustainability, ecological systems, engineering, and human–technology interaction.

Abstract

The Best Researcher Award recognition profile highlights Suresh Kumar Sahani’s documented research activity in mathematics and its interdisciplinary applications. His recent scholarly output addresses mathematical modeling, computational methods, ecological dynamics, sustainable agriculture, engineering systems, and Industry 5.0-related human–robot interaction. These publications illustrate the use of mathematical frameworks to investigate complex systems and sustainability-oriented challenges.[2][3]

Keywords

  • Mathematical Modeling
  • Computational Mathematics
  • Sustainable Agriculture
  • Ecological Modeling
  • Engineering Mathematics

Introduction

Mathematical research increasingly contributes to interdisciplinary science by providing analytical, numerical, and computational tools for understanding complex systems. Sahani’s publication record reflects this interdisciplinary orientation, with recent work connecting mathematical techniques to sustainability, ecological systems, agricultural development, and engineering applications.[4]

Research Profile

The supplied Scopus information identifies 44 documents, 536 citations, and an h-index of 9. His research profile is centered on mathematics, while the listed publications indicate collaboration across sustainability science, engineering, ecology, agriculture, and technology-oriented research.[1]

Research Contributions

Notable research themes include mathematical and computational techniques for sustainable agricultural development in Nepal, dynamic ecological modeling, engineering-oriented mathematical analysis, and interdisciplinary modeling of emerging technological systems.[4][5]

Publications

  • Trust and Acceptance in Human–Robot Interaction: Psychological Foundations for Industry 5.0, Engineering Reports, 2026.[2]
  • Bio-Inspired Meta-Composite Lattice Platforms for Floating Offshore Wind Turbines, Sustainable Marine Structures, 2026.[3]
  • Some New Investigations on the Dynamic Biocompetitive Ecological Model, Complexity, 2026.[5]
  • Mathematical and computational techniques for sustainable agricultural development in Nepal, Rajarshi Janak University Research Journal, 2025.[4]
  • Advanced Mathematical Modeling of Woolen Knitting Dynamics Using Laplace Transform and Fourth-Order Runge–Kutta Method, Journal of Mathematics, 2025.[6]

Research Impact

The supplied bibliometric record of 536 citations and an h-index of 9 indicates measurable scholarly visibility within the indexed research record.[1] The breadth of recent publications also demonstrates engagement with mathematical approaches to contemporary interdisciplinary challenges.

Award Suitability

Based on the supplied research record, Sahani’s publication activity, citation profile, mathematical specialization, and interdisciplinary research themes provide relevant evidence for consideration under a Best Researcher Award category. The assessment should remain based on documented scholarly outputs and the applicable award evaluation criteria.

Conclusion

Suresh Kumar Sahani’s research profile combines mathematical scholarship with applications addressing sustainability, ecological systems, agriculture, engineering, and emerging technology. The supplied Scopus metrics and recent DOI-indexed publications provide a structured basis for academic recognition within the International Forensic Scientist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Suresh Kumar Sahani, Author ID 57223362001. Scopus.
    https://www.scopus.com/pages/authors/57223362001
  2. Engineering Reports. (2026). Trust and Acceptance in Human–Robot Interaction: Psychological Foundations for Industry 5.0. DOI: https://doi.org/10.1002/eng2.70983
  3. Sustainable Marine Structures. (2026). Bio-Inspired Meta-Composite Lattice Platforms for Floating Offshore Wind Turbines. DOI: https://doi.org/10.36956/sms.v8i2.3365
  4. Rajarshi Janak University Research Journal. (2025). Mathematical and computational techniques for sustainable agricultural development in Nepal.
    DOI: https://doi.org/10.3126/rjurj.v3i1.80697
  5. Complexity. (2026). Some New Investigations on the Dynamic Biocompetitive Ecological Model: A Nonautonomous Framework for Planetary Overshoot.
    DOI: https://doi.org/10.1155/cplx/4438720
  6. Journal of Mathematics. (2025). Advanced Mathematical Modeling of Woolen Knitting Dynamics Using Laplace Transform and Fourth-Order Runge–Kutta Method.
    DOI: https://doi.org/10.1155/jom/4985087

Mohamed Jalel Attia | Mathematics | Research Excellence Award

Research Excellence Award

Mohamed Jalel Atia
Qassim University

Mohamed Jalel Atia
Affiliation Qassim University
Country Saudi Arabia
Scopus ID 6603779189
Documents 25
Citations 76
h-index 4
Subject Area Mathematics
Event International Forensic Scientist Awards
ORCID 0000-0003-3331-6063

Mohamed Jalel Atia is a mathematician whose academic career has been associated with advanced research in special functions, hypergeometric series, polynomial theory, and mathematical analysis. His scholarly activities include appointments at Université de Gabès and distinction-based academic service at Qassim University. Through a sustained publication record in peer-reviewed mathematics journals, he has contributed to the study of transformation identities, orthogonal polynomials, and generalized mathematical functions that support ongoing developments in theoretical and applied mathematics.[1][2]

Abstract

This article summarizes the academic achievements and research profile of Mohamed Jalel Atia. His work is primarily focused on mathematical analysis, hypergeometric functions, transformation formulas, and orthogonal polynomial theory. Through publications appearing in recognized international journals, he has contributed to the refinement of classical mathematical identities and the extension of analytical techniques used across pure mathematics research.[3]

Keywords

Mathematics, Hypergeometric Functions, Orthogonal Polynomials, Special Functions, Mathematical Analysis, Transformation Theory, Research Excellence Award.

Introduction

The field of mathematics depends upon rigorous theoretical development and the continual refinement of analytical methods. Mohamed Jalel Atia has participated in this scholarly tradition through investigations into special functions and polynomial structures. His academic career includes educational and research affiliations in Tunisia and Saudi Arabia, supporting international collaboration and mathematical scholarship.[1]

Research Profile

Professor Atia earned doctoral qualifications in mathematics from Université de Tunis El Manar and has maintained a long-standing academic association with Université de Gabès. His research portfolio demonstrates sustained engagement with theoretical mathematics, particularly hypergeometric identities, quadratic transformations, Bessel polynomials, and generalized orthogonal polynomial systems.[2]

Research Contributions

  • Extension and generalization of classical hypergeometric transformation identities.
  • Research on Kummer-type quadratic transformations and isolated transformation cases.
  • Studies involving inverse linearization coefficients of Bessel polynomials.
  • Development of generalized positive definite linear functionals associated with polynomial theory.

Publications

  • Reduction for a Terminating Bivariate Hypergeometric Appell Series F1 (II), Mathematics (2026).
  • Extension of Chu–Vandermonde Identity and Quadratic Transformation Conditions, Axioms (2024).
  • On the Inverse of the Linearization Coefficients of Bessel Polynomials, Symmetry (2024).
  • A Positive Definite Linear Functional of Class s=2, Generalization of Chebyshev Polynomials, Periodica Mathematica Hungarica (2020).

Research Impact

With 25 indexed documents, 76 citations, and an h-index of 4, Mohamed Jalel Atia has established a measurable research presence within the mathematical sciences. His publications contribute to the preservation and advancement of analytical methods that are relevant to special functions, computational mathematics, and mathematical modeling.[4]

Award Suitability

The Research Excellence Award recognizes sustained scholarly achievement, research productivity, and contribution to scientific knowledge. Mohamed Jalel Atia’s publication record, international academic affiliations, and ongoing contributions to mathematical theory provide evidence of a career characterized by consistent research engagement and scholarly impact. These attributes support consideration for recognition within international academic award programs.[5]

Conclusion

Mohamed Jalel Atia represents an active contributor to contemporary mathematical research. His work on hypergeometric functions, transformation identities, and polynomial analysis has strengthened theoretical understanding within specialized areas of mathematics. His academic record reflects a commitment to research excellence, scholarly publication, and international collaboration.

References

  1. ORCID. (n.d.). Mohamed Jalel Atia Research Record.
    orcid.org/0000-0003-3331-6063
  2. ORCID Employment and Education Records. Université de Gabès, Université de Tunis El Manar, and Qassim University Affiliations.
  3. Atia, M. J. (2026). Reduction for a Terminating Bivariate Hypergeometric Appell Series F1 (II). https://doi.org/10.3390/math14112021
  4. Elsevier. (n.d.). Scopus Author Details: Mohamed Jalel Atia, Author ID 6603779189.
    https://www.scopus.com/authid/detail.uri?authorId=6603779189
  5. Atia, M. J. (2024). Extension of Chu–Vandermonde Identity and Quadratic Transformation Conditions.
    https://doi.org/10.3390/axioms13120825
  6. Atia, M. J. (2020). A Positive Definite Linear Functional of Class s=2, Generalization of Chebyshev Polynomials.

Yang Liu | Mathematics | Research Excellence Award

Assist. Prof. Dr. Yang Liu | Mathematics | Research Excellence Award

Great Bay University | China

Dr. Yang Liu is a researcher in numerical optimization and scientific computing, with a focus on scalable algorithms for large-scale nonconvex problems. His work integrates numerical linear algebra, tensor methods, and Krylov subspace techniques to advance efficient optimization frameworks. He has contributed to the development of Newton-MR methods, pseudoinverse solution recovery, and adaptive regularization strategies for higher-order tensor models. His research emphasizes matrix-free and high-performance implementations, with contributions incorporated into advanced solver libraries. Dr. Yang Liu actively engages in international collaborations and contributes to peer-reviewed journals and conferences in optimization and applied mathematics.

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View Google Scholar Profile  View ORCID Profile

Featured Publications


Convergence of Newton-MR under inexact Hessian information

– SIAM Journal on Optimization, 2021 | Cited by: 25

Newton-MR: Inexact Newton method with minimum residual sub-problem solver

– EURO Journal on Computational Optimization, 2022 | Cited by: 22

MINRES: From negative curvature detection to monotonicity properties

– SIAM Journal on Optimization, 2022 | Cited by: 14

Descent properties of an Anderson accelerated gradient method with restarting

– SIAM Journal on Optimization, 2024 | Cited by: 11 

Rowena Merkel | Mathematics | Young Scientist Award

Mrs. Rowena Merkel | Mathematics | Young Scientist Award

University of Education Freiburg | Germany

Rowena Merkel, M.Ed., is an emerging scholar and Ph.D. candidate at the Pädagogische Hochschule Freiburg, Germany, specializing in mathematics didactics and cognitive learning research. Her academic journey reflects strong interdisciplinary training, having earned a Master of Education and a Bachelor’s degree in Mathematics and Spanish from the Albert-Ludwigs-Universität Freiburg. Currently pursuing her doctoral research in Psychology and Mathematics Didactics, Rowena focuses on understanding how digital modeling tools can foster effective cognitive learning processes in developing students’ conceptual understanding of fractions. She has served as an Academic Associate at the Pädagogische Hochschule Freiburg, where she contributed to advancing digital pedagogical innovations and teaching methodologies. Her research interests span mathematics education, cognitive engagement, digital learning environments, and instructional design in STEM education. Rowena’s recent publication, Learning Activities in a Dynamic Learning Environment to Foster a Basic Fraction Concept (International Journal of Science and Mathematics Education, 2025 cited by 7 articles*), exemplifies her contributions to developing research-based digital tools for mathematics instruction. Her academic achievements demonstrate a commitment to evidence-based education, blending theory and practice to enhance cognitive development through technology-enhanced learning. Through her innovative approach, Rowena Merkel aims to bridge psychology and pedagogy, making complex mathematical concepts accessible to diverse learners. Her work holds promise for shaping the future of mathematics education, positioning her as a dynamic and deserving nominee for the Young Scientist Award.

Profile: ORCID | LinkedIn

Featured Publications

Merkel, R., Leuders, T., Reinhold, F., & Loibl, K. (2025). Learning activities in a dynamic learning environment to foster a basic fraction concept. International Journal of Science and Mathematics Education. https://doi.org/10.1007/s10763-025-10602-6