Natiq Akhmedov | Mathematics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

NATIQ AKHMEDOV
Affiliation Azerbaijan State Economic University
Country Azerbaijan
Scopus ID 24392187600
Documents 29
Citations 139
h-index 7
Subject Area Mathematics
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-3071-2549

NATIQ AKHMEDOV

NATIQ AKHMEDOV of Azerbaijan State Economic University, Azerbaijan is recognized with the Best Paper Award for research excellence in the field of Mathematics. The recognized research, titled “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” addresses a mathematical problem within three-dimensional elasticity theory involving a cylinder with radially varying material properties.

Abstract

This article recognizes NATIQ AKHMEDOV with the Best Paper Award for research excellence in Mathematics. The recognized research, titled “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” focuses on the analysis of a three-dimensional elasticity theory problem associated with a cylinder whose material characteristics vary in the radial direction. The study represents a contribution to mathematical and theoretical approaches for understanding elasticity problems involving inhomogeneous cylindrical structures.

Keywords

Three-Dimensional Elasticity Theory, Mathematics, Radially Inhomogeneous Cylinder, Elasticity Problems, Mathematical Analysis, Inhomogeneous Materials, Cylindrical Structures, Continuum Mechanics, Elasticity Modeling, Mathematical Modeling.

Introduction

The awarded research, “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” examines an important mathematical problem in the field of elasticity theory. Three-dimensional elasticity provides mathematical frameworks for describing the deformation and mechanical behavior of solid bodies, while radial inhomogeneity introduces additional complexity because material properties can change according to the radial coordinate

Research Profile

NATIQ AKHMEDOV is affiliated with Azerbaijan State Economic University, Azerbaijan and is associated with the subject area of Mathematics. According to the provided academic information, the researcher has 29 documents, 139 citations, and an h-index of 7. The Scopus Author ID is 24392187600, and the researcher’s ORCID identifier is 0000-0002-3071-2549.

Research Contributions

The recognized publication contributes to Mathematics through the analysis of a three-dimensional elasticity theory problem for a radially inhomogeneous cylinder. The research addresses the mathematical complexity associated with cylindrical bodies whose properties vary with radial position and contributes to the broader study of elasticity problems involving non-uniform material distributions.

Research Impact

The provided academic profile records 29 documents, 139 citations, and an h-index of 7 for NATIQ AKHMEDOV. These indicators reflect a sustained body of indexed research and citation activity within the researcher’s academic profile.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, scientific relevance, and meaningful contribution to its respective discipline. NATIQ AKHMEDOV’s recognized research aligns with these objectives through its analysis of a three-dimensional elasticity theory problem for a radially inhomogeneous cylinder within the field of Mathematics.

Conclusion

NATIQ AKHMEDOV has contributed to the field of Mathematics through research focused on three-dimensional elasticity theory and radially inhomogeneous cylindrical structures. The recognized publication, “Analysis of the three-dimensional elasticity theory problem for a radially inhomogeneous cylinder,” addresses a specialized mathematical problem involving spatially varying properties and provides a theoretical contribution to the analysis of elasticity in cylindrical systems.

External Links

References

  1. Scopus Author Profile: NATIQ AKHMEDOV, Author ID 24392187600. Scopus. https://www.scopus.com/pages/authors/24392187600
  2. ORCID Research Profile: NATIQ AKHMEDOV. ORCID. https://orcid.org/0000-0002-3071-2549
  3. Best Paper Awards. https://bestpaperawards.com/

Jaydeep Pandya | Mathematics | Best Researcher Award

Published on by Best Paper Awards

Dr. Jaydeep Pandya | Mathematics | Best Researcher Award 

PhD | Maharaja Krishnakumarsinhji Bhavnagar University | India

 

Dr. Jaydeep A. Pandya is a dedicated mathematician and emerging research talent whose strong academic foundation and focused expertise make him a highly suitable candidate for a Best Researcher Award in Mathematics, particularly in the domains of Operations Research and Transportation Modelling. A gold medalist in M.Sc. Mathematics from M.K. Bhavnagar University and a Ph.D. scholar specializing in refinements to transportation models, he demonstrates consistent academic rigor and research excellence. His research portfolio includes four published papers in reputed Scopus-, ABDC-, and peer-reviewed journals, addressing probabilistic frameworks, transportation barriers, atmospheric and external cost factors, and optimization methods in logistics systems. Dr. Pandya has presented more than twelve research papers across prestigious national and international conferences at institutions including Kurukshetra University, JECRC University, Thapar Institute of Engineering & Technology, VIT Tamil Nadu, Gauhati University, and Bharatiya Vidya Bhavan, reflecting strong scholarly engagement and subject command. He has also contributed to academic literature through a conference proceedings publication in the field of sustainable development. Beyond research, he is actively involved in academic governance as a member of IQAC, Board of Studies, and Anti-Ragging Committee, demonstrating leadership and institutional commitment. His continuous learning mindset is evident through multiple NPTEL/SWAYAM certifications from leading Indian institutions such as IITs and central universities in fields like operations research, statistics, real analysis, and academic writing. With technical proficiency in LaTeX, MS Excel, data handling, and mathematical modelling tools, he brings both analytical and computational strengths. Recognized early with the Prof. A.R. Rao Gujarat Ganit Mandal encouragement award, Dr. Pandya’s career objective aligns with innovative, impactful academic research and student development. His strong publication record, scholarly presentations, interdisciplinary orientation, and commitment to advancing mathematical solutions for real-world transportation systems collectively position him as a deserving and promising candidate for the Best Researcher Award.

Profiles: ORCID | ResearchGate

Featured Publications

Pandya, J. A. (2024). A study of uncertainty and probability in transportation problem. Utilitas Mathematica, 121, 1–10.

Pandya, J. A. (2025). A probabilistic framework for evaluating efficiency gains in Vogel’s approximation method. Journal of Informatics Education and Research, 5, 1–12.

Pandya, J. A. (2023). Impact of atmospheric barriers on transportation efficiency. International Journal of Interdisciplinary Organizational Studies, 18, 15–25.

Pandya, J. A. (2023). Analytical study on external transportation cost in linear programming problems. International Journal of Innovative Research & Growth, 12, 32–40.

Pandya, J. A. (2024). One Day National Conference on Green Energy and Sustainable Development. Conference Proceedings, Department of Physics, Shri R. R. Lalan College, Bhuj, 78–85. (ISBN 978-81-931638-9-4)

 

Dr. Jaydeep A. Pandya’s research advances the efficiency and intelligence of transportation and logistics systems through innovative mathematical modelling and optimization techniques. His work bridges theoretical mathematics with real-world applications, improving decision-making in infrastructure planning, urban mobility, and resource optimization. By addressing uncertainty and dynamic barriers in transportation networks, his contributions support smarter cities, sustainable development, and data-driven industrial innovation.