Natiq Akhmedov | Mathematics | Best Paper Award

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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

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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.

 

Sushant Yadav | Mathematical Modeling | Best Researcher Award

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Mr. Sushant Yadav | Mathematical Modeling | Best Researcher Award

Senior Research Fellow at Malaviya National Institute of Technology Jaipur, India

Mr. Sushant Yadav is a Ph.D. scholar in Mathematics at MNIT Jaipur, with a strong academic foundation from MNNIT Allahabad and the University of Delhi. His research revolves around Spiking Neural Networks, biologically inspired neural models, and their applications in AI and healthcare. With a passion for mathematical innovation in artificial intelligence, Sushant has contributed to notable publications in reputed journals and conferences. He possesses comprehensive skills in scientific computing, programming, and data analysis, making him a versatile researcher in the evolving field of computational mathematics and AI.

Publication Profile

Orcid

Google Scholar

Educational Details

  • Doctor of Philosophy in Mathematics (2021 – Present)
    Malaviya National Institute of Technology (MNIT), Jaipur, India
    CGPA: 8.67/10.00
  • Master of Science in Mathematics and Scientific Computing (2018 – 2020)
    Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India
    CGPA: 7.05/10.00
  • Bachelor of Science (Hons.) in Mathematics (2015 – 2018)
    University of Delhi (DU), India
    CGPA: 6.7/10.00

Professional Experience

Mr. Sushant Yadav is a dedicated researcher and academic in the field of Applied Mathematics and Artificial Intelligence. He is currently pursuing his Ph.D. in Mathematics at MNIT Jaipur, where his research focuses on the intersection of Spiking Neural Networks (SNN) and biologically inspired computational models. Throughout his doctoral studies, he has actively contributed to cutting-edge research involving neuron models, plasticity mechanisms, and machine learning applications in healthcare and biological systems. His work involves developing new mathematical models and computational techniques to enhance AI systems’ performance and adaptability. With strong programming skills in Python, C/C++, and expertise in frameworks such as PyTorch, TensorFlow, and SnnTorch, he aims to bridge the gap between theoretical mathematics and AI applications.

Research Interest

  • Spiking Neural Networks (SNN)
  • Neuromorphic Computing
  • Artificial Intelligence and Machine Learning
  • Biologically Inspired Computation
  • Mathematical Modeling in Computational Neuroscience
  • Application of Machine Learning in Healthcare

Top Noted Publication

1. Comparative Analysis of Biological Spiking Neuron Models for Classification Task

  • Authors: S. Yadav, S. Chaudhary, R. Kumar
  • Conference: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
  • Publisher: IEEE
  • Pages: 1-6
  • Date: July 2023
  • DOI: https://doi.org/10.1109/ICCCNT57981.2023.10245626
  • Summary:
    This paper presents a comparative evaluation of various biological spiking neuron models with respect to their effectiveness in solving classification tasks. It focuses on models such as Leaky Integrate-and-Fire (LIF), Izhikevich, and Hodgkin-Huxley neurons, assessing their performance on benchmark datasets. The study provides insight into the suitability of each model for machine learning applications based on accuracy and computational efficiency.

2. Consciousness Driven Spike Timing Dependent Plasticity

  • Authors: S. Yadav, S. Chaudhary, R. Kumar
  • Journal: Expert Systems with Applications (Elsevier)
  • DOI: https://doi.org/10.1016/j.eswa.2025.126490
  • Preprint: arXiv preprint arXiv:2405.04546
  • Publication Year: 2024
  • Summary:
    This paper introduces a novel approach integrating consciousness-like behavior into the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed mechanism enhances synaptic adaptability by incorporating contextual and attention-based weight adjustments, leading to improved learning outcomes in spiking neural networks (SNNs). The study demonstrates the effectiveness of this approach in enhancing performance in classification and pattern recognition tasks.

3. Machine Learning-Based Recognition of White Blood Cells in Juvenile Visayan Warty Pigs

  • Authors: S. Saxena, S. Yadav, B. Singh, R. Kumar, S. Chaudhary
  • Conference: 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
  • Publisher: IEEE
  • Date: December 2023
  • Summary:
    This research proposes a machine learning framework for the automated recognition and classification of White Blood Cells (WBCs) in juvenile Visayan Warty Pigs, a rare and endangered species. The system employs image processing and supervised learning algorithms to enhance diagnostic accuracy and aid veterinarians in wildlife health monitoring.

4. Deep Learning Solutions for WBC Classification in Juvenile Visayan Warty Pigs

  • Authors: S. Saxena, S. Yadav, B. Singh, R. Kumar, S. Chaudhary
  • Conference: 2023 IEEE Engineering Informatics
  • Publisher: IEEE
  • Pages: 1-6
  • Date: November 2023
  • Summary:
    This paper presents a deep learning-based approach leveraging Convolutional Neural Networks (CNNs) to classify White Blood Cells in juvenile Visayan Warty Pigs. The study demonstrates improved classification accuracy compared to traditional image processing techniques, showcasing the potential of deep learning in veterinary diagnostics and wildlife conservation.

Conclusion:

Mr. Sushant Yadav is a highly promising researcher with a robust foundation in mathematical modeling, spiking neural networks, and biologically inspired AI. His research contributions, particularly his innovative work on STDP and white blood cell classification using machine learning, position him as a deserving candidate for the Best Researcher Award. While his profile is strong, further enhancing his publication impact, international collaborations, and real-world implementations would elevate his standing in the global research community.