Suresh Kumar Sahani | Mathematics | Best Researcher Award

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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

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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.

Salim Shekh | Mathematics | Young Scientist Award

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Young Scientist Award

Salim Shekh
Assistant Professor, Department of Mathematics
Affiliation S. P. M. Science and Gilani Arts Commerce College
Country India
Scopus ID 56572682400
Documents 75
Citations 1,294
h-index 23
Subject Area Mathematics
Event International Forensic Scientist Awards
ORCID 0000-0003-4545-1975
Salim Shekh
S. P. M. Science and Gilani Arts Commerce College, India

Salim Shekh is an Indian mathematician and researcher affiliated with S. P. M. Science and Gilani Arts Commerce College, India. His research mainly focuses on cosmology, gravitation, dark energy, and modified gravity theories.[1] He has published several research articles in international journals and gained strong citation impact in mathematical physics and cosmology.[2]

Abstract

This article highlights the academic achievements of Salim Shekh in mathematics and cosmology. His work mainly studies modified gravity, dark energy models, and cosmological analysis. His publications and citation record show steady research contributions in theoretical physics and astrophysics.[3]

Keywords

General Relativity; Gravitation; Dark Energy; Cosmology; f(Q) Gravity; Mathematical Physics; Astrophysics.

Introduction

Modern cosmology studies the evolution and structure of the universe using mathematical and physical theories. Salim Shekh has contributed to this field through research on dark energy and modified gravity theories.[4] His work includes theoretical analysis and observational studies related to cosmic acceleration and cosmological models.[5]

Research Profile

Shekh’s research mainly focuses on modified gravity theories, especially f(Q) gravity and dark energy cosmology. His studies discuss anisotropic cosmological models, holographic dark energy, and observational constraints.[6]

He has published papers in journals such as Physics of the Dark Universe, Journal of High Energy Astrophysics, and Classical and Quantum Gravity.[7]

Research Contributions

One of Shekh’s important works is Anisotropic nature of space–time in fQ gravity, which studied cosmological anisotropy in modified gravity.[8] He also worked on cosmic acceleration and energy conditions in symmetric teleparallel gravity models.[9]

His studies on holographic dark energy and observational cosmology have contributed to discussions on accelerated expansion of the universe and alternative gravity theories.[10]

Publications

  • Anisotropic nature of space–time in fQ gravity, 2022.[8]
  • Models of holographic dark energy in f(Q) gravity, 2021.[10]
  • Observational constraints in accelerated emergent f(Q) gravity model, 2023.[11]
  • Modelling the accelerating universe with f(Q) gravity: observational consistency, 2024.[12]

Research Impact

Shekh has received more than 1,294 citations and has an h-index of 23, showing good academic impact in cosmology and mathematical physics.[2] His research is widely referenced in studies related to modified gravity and dark energy models.[12]

Award Suitability

Salim Shekh’s publication record, citation profile, and international collaborations support his suitability for the Young Scientist Award. His research contributions in cosmology and modified gravity theories demonstrate continuous academic involvement and scientific productivity.[8]

Conclusion

Salim Shekh has contributed significantly to research in cosmology, gravitation, and modified gravity theories. His publications, citation impact, and ongoing academic work reflect his active role in theoretical physics and mathematical cosmology.[10]

References

  1. Scopus Author Profile: Salim Harun Shekh.
    https://www.scopus.com/authid/detail.uri?authorId=56572682400
  2. Scopus citation metrics and h-index profile.
  3. Google Scholar profile of Dr. Salim Shekh.
    https://scholar.google.com/citations?hl=en&user=VOJJ1DgAAAAJ
  4. Shekh, S. H. (2021). Models of holographic dark energy in f(Q) gravity.
    https://doi.org/10.1016/j.dark.2021.100850
  5. Late-time acceleration studies in f(Q) gravity.
  6. Research publications on modified gravity and cosmology.
  7. International journals in cosmology and astrophysics.
  8. Koussour, M., Shekh, S. H., & Bennai, M. (2022). Anisotropic nature of space–time in fQ gravity.
    https://doi.org/10.1016/j.dark.2022.101051
  9. Cosmic acceleration and energy conditions in symmetric teleparallel gravity.
  10. Holographic dark energy studies in modified gravity.
  11. Observational constraints in accelerated emergent f(Q) gravity model.
  12. Modelling the accelerating universe with f(Q) gravity.

Yang Liu | Mathematics | Research Excellence Award

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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 

Vyacheslav Abramov | Mathematics | Research Excellence Award

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Dr. Vyacheslav Abramov | Mathematics | Research Excellence Award

Retired Academician, Monash University | Australia

Dr. Vyacheslav Abramov is an internationally recognized mathematician whose research centers on probability theory, stochastic processes, and queueing systems, with strong applications to telecommunications, computer networks, and applied stochastic modelling. His scholarly work has made foundational contributions to the theory of Markov chains, random walks, loss systems, Toeplitz and circulant matrices, and asymptotic methods in queueing networks. He is also known for extending classical convergence tests, recurrence criteria, and fixed-point theorems to infinite-dimensional settings. His research bridges rigorous mathematical theory with practical modelling problems in engineering and networked systems.

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Featured Publications


A new criterion for recurrence of Markov chains with an infinitely countable set of states

– Theory of Probability and Mathematical Statistics, 112(5), October 2024


CONDITIONS FOR RECURRENCE AND TRANSIENCE FOR TIME-INHOMOGENEOUS BIRTH-AND-DEATH PROCESSES

– Bulletin of the Australian Mathematical Society, 109(2), May 2023

Malathy N | Computer Science | Best Researcher Award

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Dr. Malathy N | Computer Science | Best Researcher Award

Associate Professor | Mepco Schlenk Engineering College | India

Dr. N. Malathy is an esteemed academician and researcher currently serving as an Associate Professor in the Department of Information Technology at Mepco Schlenk Engineering College. With over 12 years of experience in teaching and research, she has made significant contributions to the fields of Mobile Computing, IoT, Networks, Fog Computing, and Machine Learning. She holds a Ph.D. in Fog Computing from Anna University (2024) and has published 24 research papers. Her expertise extends to international certifications in AI, cloud computing, and cybersecurity, and she is an active mentor and reviewer in her domain.

Profile

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

  • Research Excellence 📚

    • 24 research publications, including 5 SCI and 11 Scopus-indexed papers.
    • Notable contributions to Fog Computing, IoT, Machine Learning, and Distributed Computing.
    • Recent high-impact publications, including studies on Federated Learning, Intrusion Detection, and Green Computing.

  • Innovation & Intellectual Property 🏅

    • One granted patent and four published patents demonstrate innovative contributions to applied research.
    • Published two book chapters, contributing to academic literature.

  • Recognized Expertise & Certifications 🎓

    • International certifications from NVIDIA (Deep Learning), Infosys (Generative AI), and Checkpoint (Cybersecurity).
    • Oracle certification in PL/SQL Database Programming and EMC Cloud Infrastructure & Services certification.
    • Top 1%-5% rankings in multiple NPTEL courses, showing a commitment to continuous learning.

  • Professional Engagement & Recognition 🌍

    • Reviewer for 44 research papers, indicating active involvement in the research community.
    • Awarded Best Paper at an International Conference (ICSTA 2022).
    • Guest lectures (9) and faculty development programs (FDPs) conducted, demonstrating leadership in research dissemination.
    • Member of ISTE and CSI, indicating professional affiliation.

🎓 Education

  • Ph.D. in Fog Computing, Anna University, 2024
  • M.E. in Computer & Communication, SSN College of Engineering, Anna University, 2012
  • B.E. in Computer Science & Engineering, Francis Xavier Engineering College, Anna University, 2010

👩‍🏫 Experience

  • Associate Professor, MEPCO Schlenk Engineering College (2024–Present)
  • Assistant Professor (Sl. Grade), MEPCO Schlenk Engineering College (2023–2024)
  • Assistant Professor (Sr. Grade), MEPCO Schlenk Engineering College (2017–2023)
  • Assistant Professor, MEPCO Schlenk Engineering College (2012–2017)

🔬 Research Interests On Computer Science

Dr. Malathy’s research spans multiple cutting-edge areas, including:

  • Distributed Computing: Efficient task scheduling, multi-objective optimization for fog computing
  • IoT: Smart systems development, security research, intrusion detection
  • Fog Computing: Resource allocation, task scheduling, privacy-preserving methodologies
  • Machine Learning: Federated learning for security, optimization algorithms, AI applications

🏆 Awards & Achievements

  • Best Paper Award, ICSTA 2022, Ramco Institute of Technology
  • Top 1% & 5% Ranker in NPTEL Courses on Cloud Computing, Big Data, and HCI
  • International Certifications:
    • NVIDIA Deep Learning (2023)
    • Checkpoint Certified Security Administrator R81 (2024)
    • Generative AI Certifications (Infosys, 2024)
    • Oracle Certification in Database Programming (2019)
  • Top Performing Mentor, NPTEL (2025)

📚 Publications

Dr. Malathy has authored several impactful research papers in reputed journals:

  • Multi‐objective task scheduling in fog computing using improved gaining sharing knowledge based algorithm

    • Authors: M. Navaneetha Krishnan, R. Thiyagarajan
    • Year: 2022
    • Citations: 12

  • VAGR—Void aware in geographic routing for wireless sensor networks

    • Authors: A. Revathi, N. Malathy
    • Year: 2016
    • Citations: 8

  • Entropy‐based complex proportional assessment for efficient task scheduling in fog computing

    • Authors: N. K. Malathy, T. Revathi
    • Year: 2023
    • Citations: 7

  • Opposition‐based improved memetic algorithm for placement of concurrent Internet of Things applications in fog computing

    • Authors: N. Malathy, T. Revathi
    • Year: 2024
    • Citations: 3

  • Pedestrian safety system with crash prediction

    • Authors: M. K. V. S. Ms. N. Malathy, Dr. S. Kavi Priya
    • Year: 2022
    • Citations: 3*

  • Smart trash bin level monitoring system

    • Authors: M. S. A. Ms. N. Malathy, Miss. D. Kaviyaadharshani
    • Year: 2022
    • Citations: 3*

  • Pedwarn-enhancement of pedestrian safety using mobile application

    • Authors: N. Malathy, S. Sabarish Nandha, B. Praveen, K. Pravin Kumar
    • Year: 2020
    • Citations: 2

  • Topology control for depth adjustment using geographic routing in underwater wireless sensor networks

    • Authors: A. Revathi, N. Malathy
    • Year: 2016
    • Citations: 1

  • Energy Efficient Workflow Scheduling for Fog-enhanced IOT Based Healthcare Application

    • Authors: N. Malathy, M. Kartheeswari, M. Yogalakshmi
    • Year: Not mentioned
    • Citations: 1

📌 Conclusion

Dr. N. Malathy continues to make remarkable strides in academia, research, and technological innovation. Her expertise in Distributed Computing, IoT, Fog Computing, and Machine Learning is evident from her numerous publications, patents, and academic contributions. Through mentoring, research, and professional engagements, she actively bridges theoretical advancements with real-world applications, positioning herself as a leader in her field.