Raghavendran Prabakaran | Mathematics | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Raghavendran Prabakaran
Easwari Engineering College, India

Raghavendran Prabakaran
Affiliation Easwari Engineering College
Country India
Scopus ID 58670546100
Documents 56
Citations 325
h-index 11
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0009-0001-7333-6555

Raghavendran Prabakaran is a mathematics researcher affiliated with Easwari Engineering College, India. The documented research profile comprises 56 Scopus-indexed documents, 325 citations and an h-index of 11. His recent publication activity connects mathematical analysis with fractional calculus, integral equations, machine learning, physics-informed neural networks and computational modeling. These themes illustrate an interdisciplinary research direction in which mathematical methods are applied to complex analytical and predictive problems.[1]

Abstract

The research profile represented by the available publication record centers on contemporary mathematical techniques for modeling, approximation and prediction. Recent work addresses random fractional functional Volterra–Fredholm integro-differential equations, physics-informed learning, mathematical transformations, complex systems and fractional drug-release models. The publications indicate an application-oriented research trajectory combining established mathematical frameworks with computational and machine-learning approaches.[2]

Keywords

Mathematics; fractional calculus; integro-differential equations; machine learning; physics-informed neural networks; computational modeling; mathematical transformations; predictive analysis.

Introduction

Mathematical research increasingly incorporates computational intelligence to address nonlinear, fractional and otherwise complex systems. In this context, hybrid methods can combine analytical formulations with data-driven approximation and prediction. The listed publications associated with Prabakaran’s research demonstrate this intersection through applications involving artificial neural networks, transformers, physics-informed methods and fractional differential models.[3]

Research Profile

The supplied bibliometric profile records 56 documents, 325 citations and an h-index of 11 in Scopus. These indicators provide quantitative measures of indexed publication output and citation activity, while the publication record provides additional context regarding subject breadth and methodological development.[1]

Research Contributions

  • Development and analysis of fractional and integro-differential mathematical models.
  • Application of machine-learning and neural-network methods to mathematical prediction and approximation.
  • Integration of physics-informed computational approaches with mathematical modeling.
  • Application of mathematical models to interdisciplinary problems, including nanomaterials and drug-release systems.

Publications

Recent publications include studies on nanomaterial selection and PINN-based prediction, random fractional functional Volterra–Fredholm integro-differential equations with ANN approximation, physics-informed transformer frameworks for EEG forecasting, Upadhyaya transforms with machine learning, and fractional integro-differential equations for paracetamol drug-release modeling.[4][5]

Research Impact

The reported citation count and h-index provide measurable evidence of scholarly visibility within the indexed record. The recent publications further show a research program extending mathematical techniques toward computational prediction and interdisciplinary applications. Such evidence should be interpreted alongside publication quality, authorship contribution, journal characteristics and independent citation context when evaluating research impact.

Award Suitability

For the Innovative Research Award category, the documented profile provides evidence relevant to consideration, particularly through its combination of mathematical research, computational methods and interdisciplinary applications. The available bibliometric indicators and recent publications can form part of an evidence-based recognition assessment within the Global Innovation Technologist Awards framework.[1]

Conclusion

Raghavendran Prabakaran’s documented research profile combines mathematical analysis with emerging computational approaches. The available Scopus indicators and recent publications demonstrate sustained scholarly activity across fractional mathematics, integro-differential equations, machine learning and interdisciplinary modeling. These records provide a structured basis for academic recognition and further evaluation of research contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Raghavendran Prabakaran, Author ID 58670546100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58670546100
  2. MDPI. (2026). Analysis of Random Fractional Functional Volterra–Fredholm Integro-Differential Equations with Infinite Delay and ANN-Based Approximation. Fractal and Fractional.
    DOI: 10.3390/fractalfract10090646
  3. International Journal of Neuroscience and Neuroinformatics. (2026). A Physics-Informed Transformer Framework With a Four-Compartment NRSF Brain-State Model for EEG Forecasting.
    DOI: 10.4018/IJNN.419364
  4. Next Materials. (2026). Application of nanomaterial selection and PINN-based prediction using neutrosophic over soft complex locally closed sets and locally continuous functions.
    DOI: 10.1016/j.nxmate.2026.103274
  5. Transactions on Computational Modeling and Intelligent Systems. (2026). Application of Upadhyaya transforms with machine learning for predictive and analytical solutions in complex systems.
    DOI: 10.65112/tcmis.10023
  6. Oriental Journal Of Chemistry. (2026). Application of Fractional Integro-Differential Equations in Paracetamol Drug Release Modeling.
    DOI: 10.13005/ojc/420208

Lateef Ahmad Wani | Mathematics | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Lateef Ahmad Wani
Affiliation King Faisal University
Country Saudi Arabia
Scopus ID 57216880443
Documents 13
Citations 183 Citations by 135 Documents
h-index 6
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0000-0002-2143-6095

Lateef Ahmad Wani
King Faisal University, Saudi Arabia

The Innovative Research Award profile recognizes the scholarly contributions of Lateef Ahmad Wani, a researcher affiliated with King Faisal University in Saudi Arabia. His academic activities are associated with the field of Mathematics, with a documented publication record indexed in international scholarly databases. The profile highlights research productivity, citation influence, academic visibility, and suitability for recognition through innovation-focused academic award programs.[1][2]

Abstract

This academic recognition profile summarizes the research achievements, publication activity, and scholarly influence associated with Lateef Ahmad Wani. Based on indexed academic metrics, the researcher has established a measurable presence within the Mathematics discipline through peer-reviewed publications, citation accumulation, and participation in the international research community. These indicators provide a foundation for evaluating suitability for innovation-oriented academic distinctions and professional recognition programs.[1]

Keywords

Mathematics, Scholarly Research, Scientific Publications, Citation Analysis, Research Impact, Academic Recognition, Innovation Studies, Research Excellence, Scopus Metrics, Global Innovation Technologist Awards.

Introduction

Academic award evaluations frequently consider publication quality, citation performance, research visibility, and contribution to disciplinary advancement. The profile of Lateef Ahmad Wani reflects engagement with mathematical research and participation in scholarly communication through internationally indexed academic outputs. Quantitative indicators such as document count, citation volume, and h-index provide objective measures that assist evaluators in assessing research performance and influence.[1][3]

Research Profile

Lateef Ahmad Wani is affiliated with King Faisal University, a recognized institution supporting research and higher education activities. His documented scholarly record includes thirteen indexed publications and a citation count exceeding one hundred eighty citations, reflecting measurable engagement with the academic community. The recorded h-index of six indicates that multiple publications have achieved sustained scholarly attention through citation activity.[1][4]

Research Contributions

Research contributions associated with this profile demonstrate involvement in mathematical inquiry and analytical problem-solving. Scholarly work in mathematics often supports broader scientific and technological progress by providing theoretical frameworks, computational approaches, and quantitative methodologies applicable across multiple disciplines. The visibility of these contributions through citations suggests that published findings have been referenced by subsequent researchers and incorporated into ongoing academic discussions.[2][5]

Publications

The publication portfolio consists of peer-reviewed scholarly outputs indexed in major citation databases. These publications contribute to the dissemination of mathematical knowledge and support academic collaboration. Indexed publications serve as verifiable evidence of research activity and are commonly used during institutional evaluations, grant reviews, and academic award assessments.[1]

Research Impact

Research impact can be evaluated through citation indicators, scholarly engagement, and knowledge dissemination. The citation profile associated with this researcher indicates that published works have received attention from authors across numerous citing documents. Such metrics provide evidence of academic reach and contribute to the assessment of scientific influence within and beyond the immediate research domain.[1][3]

Award Suitability

The Innovative Research Award recognizes scholarly achievement, innovation potential, and contributions to knowledge advancement. Based on available bibliometric indicators, indexed publications, citation performance, and academic visibility, Lateef Ahmad Wani demonstrates characteristics commonly considered during evaluations for innovation-focused academic recognition programs. The combination of documented research output and measurable citation impact supports consideration within competitive award frameworks such as the Global Innovation Technologist Awards.[1]

Conclusion

This profile presents a structured overview of the academic record of Lateef Ahmad Wani, emphasizing measurable indicators of scholarly productivity and influence. The documented publication record, citation activity, and institutional affiliation collectively demonstrate sustained engagement in mathematical research. These attributes align with established criteria frequently applied in academic recognition and innovation award evaluations.[1][4]

References

  1. Elsevier. (n.d.). Scopus author details: Lateef Ahmad Wani, Author ID 57216880443. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216880443
  2. ORCID. (n.d.). ORCID record for Lateef Ahmad Wani.
    https://orcid.org/0000-0002-2143-6095
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output.
  4. King Faisal University. (n.d.). Research and academic development resources.
    https://www.kfu.edu.sa
  5. Mathematical research methodologies and scholarly communication literature.

Nataša Djurdjević | Mathematics | Best Researcher Award

Published on by Innovation Technologist

Best Researcher Award

Nataša Djurdjević
University of Belgrade – Faculty of Agriculture

Nataša Djurdjević
Affiliation University of Belgrade – Faculty of Agriculture
Country Serbia
Scopus ID 58717994600
Documents 4
Citations 15
h-index 2
Subject Area Mathematics
Event Global Innovation Technologist Awards
ORCID 0000-0002-0885-4735

Nataša Djurdjević is a Serbian mathematician and researcher affiliated with the University of Belgrade – Faculty of Agriculture. Her scholarly work primarily focuses on differential geometry, CR submanifolds, and nearly Kähler manifolds, particularly the geometric structures associated with the manifold S3×S3. Through peer-reviewed journal articles and conference contributions, she has contributed to advancing theoretical understanding within modern geometry and mathematical structures.[1] Her academic publications demonstrate sustained engagement with advanced geometric classifications and submanifold theory.[2]

Abstract

This article presents an overview of the academic contributions and scholarly recognition of Nataša Djurdjević in the field of mathematics. Her research activities are centered on differential geometry and the study of CR submanifolds in homogeneous nearly Kähler manifolds. Through analytical classification methods and theoretical investigations, her publications have contributed to the broader understanding of geometric structures and manifold theory in contemporary mathematics.[3]

Keywords

Differential Geometry, CR Submanifolds, Nearly Kähler Manifolds, Mathematical Structures, Geometry Research, S3×S3, Mathematical Classification, Topological Analysis

Introduction

Mathematics remains a foundational discipline in scientific advancement, particularly in the areas of geometry and theoretical analysis. Researchers working in manifold theory and differential geometry contribute significantly to the development of abstract mathematical frameworks used across scientific disciplines. Nataša Djurdjević has participated in this academic field through specialized studies on CR submanifolds and nearly Kähler geometry, producing research that addresses classification problems and geometric properties of higher-dimensional manifolds.[4]

Research Profile

Djurdjević’s research profile reflects active scholarly participation in peer-reviewed mathematical research. Her studies frequently examine geometric structures within homogeneous nearly Kähler manifolds and related CR submanifold classifications. Her work has been indexed through Scopus and ORCID platforms, providing international academic visibility and accessibility for researchers in geometry and topology.[1]

Research Contributions

  • Contributed to the classification of four-dimensional CR submanifolds in homogeneous nearly Kähler manifolds.
  • Published analytical studies related to almost complex distributions and geometric orthogonality.
  • Investigated umbilical sections and structural properties within S3×S3 manifolds.
  • Presented conference research focused on CR submanifold products and manifold geometry.

Publications

  • “Four-Dimensional CR Submanifolds of the Homogeneous Nearly Kähler Product Manifold S3×S3” — Mathematics (2026).
  • “Classification of Four-Dimensional CR Submanifolds of the Homogenous Nearly Kähler S3×S3” — Mathematics (2025).
  • “Some classes of CR submanifolds with an umbilical section of the nearly Kähler S3×S3” — Journal of Geometry and Physics (2021).
  • “Three-dimensional CR submanifolds of the nearly Kähler S3×S3” — Annali di Matematica Pura ed Applicata (2019).

Research Impact

The research contributions of Nataša Djurdjević support the advancement of theoretical mathematics, particularly within the specialized field of geometric manifold analysis. Her work contributes to the academic dialogue surrounding CR submanifolds and nearly Kähler geometry, offering classification frameworks and analytical methods relevant to future mathematical investigations.[5] Citation records and indexed publications further indicate scholarly engagement within the mathematical research community.[2]

Award Suitability

The Best Researcher Award recognition under the Global Innovation Technologist Awards acknowledges sustained scholarly contributions, publication quality, and subject-specific research engagement. Djurdjević’s work in advanced geometry, combined with peer-reviewed publications and international indexing visibility, aligns with the evaluation criteria commonly associated with academic distinction and emerging research excellence in mathematics.[6]

Conclusion

Nataša Djurdjević has established an academic profile centered on differential geometry and CR submanifold theory. Her research publications and conference contributions demonstrate focused engagement with geometric analysis and manifold classification. Through continued scholarly activity and indexed research dissemination, her work contributes to ongoing developments in mathematical sciences and theoretical geometry.

References

  1. Elsevier. (n.d.). Scopus author details: Nataša Djurdjević, Author ID 58717994600. Scopus.
    www.scopus.com/authid/detail.uri?authorId=58717994600
  2. ORCID. (n.d.). Nataša Djurdjević researcher profile and scholarly records.
    orcid.org/0000-0002-0885-4735
  3. Djurdjević, N. (2026). Four-Dimensional CR Submanifolds of the Homogeneous Nearly Kähler Product Manifold S3×S3. Mathematics.
    doi.org/10.3390/math14111790
  4. Djurdjević, N. (2025). Classification of Four-Dimensional CR Submanifolds of the Homogenous Nearly Kähler S3×S3. Mathematics.
    doi.org/10.3390/math13162638
  5. Djurdjević, N. (2021). Some classes of CR submanifolds with an umbilical section of the nearly Kähler S3×S3. Journal of Geometry and Physics.
    doi.org/10.1016/j.geomphys.2020.104002
  6. Djurdjević, N. (2019). Three-dimensional CR submanifolds of the nearly Kähler S3×S3. Annali di Matematica Pura ed Applicata.
    doi.org/10.1007/s10231-018-0770-8

Rawane Mansour | Mathematics | Research Excellence Award

Published on by Innovation Technologist

Ms. Rawane Mansour | Mathematics | Research Excellence Award

PHD Student | University of Perpignan – Domitian | France

Ms. Rawane Mansour is a PhD researcher in applied mathematics and computational mechanics, focusing on the mathematical and numerical modeling of contact, adhesion, and friction under large deformations. Her work addresses nonlinear solid mechanics problems involving plasticity, hyperelastic and viscoelastic materials, with applications to biomedical stent–artery interactions. She integrates rigorous variational and energy-consistent formulations with advanced numerical techniques, including finite element methods and semi-smooth Newton–type solvers. Her research has led to multiple peer-reviewed journal publications, reflecting strong contributions to theoretical analysis, numerical discretization, and computational simulation in modern mechanics.

View Orcid Profile

Featured Publications

Calvin Tcheka | Mathematics | Distinguished Scientist Award

Published on by Innovation Technologist

Assist. Prof. Dr. Calvin Tcheka | Mathematics | Distinguished Scientist Award

Professor at University of Dschang, Cameroon

Dr. Calvin Tcheka is a Cameroonian mathematician and Associate Professor at the University of Dschang, where he serves in the Department of Mathematics and Computer Science. With a specialization in Algebraic Topology and Geometry, his academic pursuits bridge pure mathematics with practical applications, particularly in the fields of string theory, network coding, Leibniz algebras, and operads. Over the past decade, he has built a solid reputation through peer-reviewed publications, collaborative international research, PhD supervision, and active participation in the global mathematical community.

Publication Profile 

Scopus

Educational Background 🎓

Dr. Tcheka’s academic journey began at the University of Yaoundé I, where he earned his Bachelor’s degree in Mathematics in 1992. He went on to complete his Master’s degrees in 1993 and 2003. He later earned his Ph.D. in Mathematics in 2009 through a joint program between the University of Yaoundé I and the University of Angers in France. His doctoral studies laid the foundation for his research in homotopy theory and algebraic structures.

Professional Experience 💼

With nearly three decades of academic service, Dr. Tcheka has held several teaching and research roles. From 1995 to 2005, he worked as a Mathematics teacher at the Higher Government School. He then joined the University of Dschang as an Assistant Lecturer in 2005, progressed to Lecturer in 2010, and became an Associate Professor in 2020. In each role, he has combined teaching, supervision, and research, contributing significantly to the mathematical development of the university.

Research Interests 🔬

Dr. Tcheka’s research interests are both theoretical and application-oriented. His core areas include Algebraic Topology, Geometry, and Algebra, particularly focusing on Leibniz algebras, operads, and homotopy theory. He also explores modern applications of topology in cryptography and network coding, as well as the theoretical foundations of string theory. His interdisciplinary research spans pure mathematics and computational theory, often bridging abstract structures with real-world problems.

Awards and Honors🏆✨

Dr. Tcheka is a respected member of the Franco-African International Research Network in Mathematics since 2020 and an ordinary member of the International Center for Pure and Applied Mathematics (CIMPA) since 2021. He has also played leadership roles in the organization of significant international mathematical conferences, including chairing the local organizing committee of the CIMPA School on Topology and Geometry in 2018. His collaborations span leading institutions in France, Belgium, Iran, and the USA, reflecting his broad academic influence and international recognition.

Conclusion🌟

Dr. Calvin Tcheka exemplifies scholarly excellence and leadership in the mathematical sciences. His consistent publication record, international collaborations, and dedicated supervision of PhD students demonstrate a deep commitment to advancing knowledge and mentoring the next generation of mathematicians. His work not only strengthens Cameroon’s academic landscape but also contributes meaningfully to the global mathematical community.

Publications 📚

  1. 🧠 C. Tcheka, A. Kamgam Dayo & G. R. Biyogmam
    “(TLie)-Leibniz algebras and related properties”
    Algebra and Discrete Mathematics, Vol. 36(2), 2023, pp. 243–256
    🔗 DOI: 10.12958/adm2049

  2. 🔐 S. Gomez Nyamssi, E. Foutsa & C. Tcheka
    “First optimal ate pairing for cyclotomic sparse families of pairing-friendly elliptic curves with embedding degree k=5, 7”
    Discrete Mathematics Algorithms and Applications, 2023
    🔗 DOI: 10.1142/S179380923500544

  3. 🧮 G. R. Biyogmam, C. Tcheka & D. R. Kamgam
    “Some properties of ID*-nLiederivations of Leibniz algebras”
    Asian-European Journal of Mathematics, 2021
    🔗 DOI: 10.1142/S1793557122500541

  4. 📝 G. R. Biyogmam & C. Tcheka
    “A note on outer derivations of Leibniz algebras”
    Communications in Algebra, Vol. 49(5), 2021

  5. 🧬 C. Tcheka
    “Cohomology Operations and π-Strongly Homotopy Commutative Hopf Algebra”
    Pure and Applied Mathematics Journal, Vol. 9(2), 2020, pp. 37–45

  6. 🧠 G. R. Biyogmam & C. Tcheka
    “Leibniz algebras with absolute maximal Lie subalgebras”
    Algebra and Discrete Mathematics, Vol. 29(1), 2020, pp. 52–65

  7. 🔄 G. Biyogmam, S. Tchamna Kouna & C. Tcheka
    “From quotient trigroups to groups”
    Quasigroups and Related Systems, Vol. 28, 2020, pp. 29–41

  8. 🔗 C. Tcheka
    “An Algebra Structure on the Hochschild Homology of a Simply Connected Topological Space”
    Algebra Colloquium, Vol. 26(3), 2019, pp. 425–436

  9. 🧩 B. Ndombol & C. Tcheka
    “An application of semi-free resolutions”
    Journal of Homotopy and Related Structures, Vol. 13, 2018, pp. 385–394

  10. 🌐 M. A. Nguemo & C. Tcheka
    “Sheaf Cohomology on Network Codings: Maxflow-Mincut Theorem”
    Applied General Topology, Vol. 18(2), 2017, pp. 219–230