Raghavendran Prabakaran | Mathematics | Innovative Research Award

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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

Nataša Djurdjević | Mathematics | Best Researcher Award

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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

A Sreenivasulu | Mathematics | Best Researcher Award

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Dr. A Sreenivasulu | Mathematics | Best Researcher Award

Assistant Professor at Koneru Lakshmaiah Education Foundation | India

Dr. A. Sreenivasulu is an accomplished mathematician and researcher with extensive expertise in applied mathematics, specializing in dynamical systems on time scales. He earned his M.Sc. in Mathematics from Osmania University and completed his Ph.D. at Koneru Lakshmaiah Education Foundation, where his research focused on first-order matrix Sylvester and Volterra integro-dynamical systems on time scales. With a decade of teaching experience, Dr. Sreenivasulu has served as an Assistant Professor of Mathematics at several esteemed institutions, where he has taught a wide range of courses including engineering mathematics, numerical analysis, linear algebra, differential equations, probability and statistics, operations research, mathematical modeling, and computer-oriented statistical methods. His research contributions are significant, with publications in high-impact international journals such as Advances in Difference Equations, Journal of Applied Mathematics and Computation, European Journal of Pure and Applied Mathematics, and the Journal of Control and Decision. His work focuses on the stability, controllability, and periodic behavior of integro-dynamical matrix systems on time scales, as well as applications of neutrosophic fuzzy matrices in image processing. These contributions have garnered 27 citations across 12 documents, reflecting his growing influence in the field, and he currently holds an h-index of 4. Dr. Sreenivasulu has also demonstrated excellence in teaching and mentorship, consistently receiving positive feedback from students and achieving notable results in courses such as engineering mathematics, discrete mathematics, and linear algebra. He actively engages in departmental and institutional activities, including mentoring students, organizing seminars, workshops, technical events, and contributing to accreditation processes. He has earned multiple certifications through NPTEL, highlighting his commitment to continuous learning and professional development. His dedication to teaching, research, and academic leadership, combined with his ability to inspire students and peers, positions him as a distinguished contributor to mathematics education and research.

Profile: Scopus | Orcid

Featured Publications

  • Sreenivasulu, A., Appa Rao, B. V., Ravutla, D. P., & Prakash, G. B. (2025). Controllability for Volterra integro-dynamic Sylvester matrix systems with impulse on time scales. Communications on Applied Nonlinear Analysis, 32, Article 2410.

  • Harisha, C., Rao, B. V. Appa, & Sreenivasulu, A. (2025). Exponential stability of Volterra integro-dynamic Sylvester matrix system on time scales. European Journal of Pure and Applied Mathematics, 18(2), Article 6090.

  • Harisha, Ch., Rao, B. V. Appa, & Sreenivasulu, A. (2025). Periodic and pseudo periodic solutions for matrix Sylvester dynamic system on measure chains. Missouri Journal of Mathematical Sciences, 2025, Article 3701031.

  • Reddy, K. V., Reddy, G. R., Rani, K. J., Sreenivasulu, A., & Prakash, G. B. (2025). Unstationary viscoelastic MHD flow of Walters-B liquid through a vertical porous plate with chemical reactions. East European Journal of Physics, 2, 44.

  • Harisha, C., Rao, B. V. Appa, & Sreenivasulu, A. (2025, June). Periodic solution for almost linear Volterra integro-dynamic matrix Sylvester system on measure chains. The Interdisciplinary Journal of Discontinuity, Nonlinearity, and Complexity, 2025(06), 001.

 

Fouokeng Georges Collince | Information Theory | Best Researcher Award

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Assoc. Prof. Dr. Fouokeng Georges Collince | Information Theory | Best Researcher Award

G.C. Fouokeng at University of Dschang, Cameroon

Dr. Georges Collince Fouokeng is a highly experienced Associate Professor in Quantum Physics at the University of Dschang, Cameroon. His research spans condensed matter physics, quantum information science, and nanomaterials, with a particular focus on understanding quantum coherence, decoherence, and phase transitions. He is also an active educator, having held significant administrative roles aimed at fostering academic innovation. With a robust publication record and a passion for advancing scientific research, Dr. Fouokeng is dedicated to bridging the gap between theoretical quantum science and practical technological applications.

Publication Profile : 

Google Scholar

 

🎓 Educational Background :

  • Doctorate (Ph.D.) in Condensed Matter Physics, University of Dschang, Cameroon (2015)
  • Master’s in Condensed Matter Physics, University of Dschang, Cameroon (2009)

💼 Professional Experience :

Dr. Georges Collince Fouokeng is an accomplished educator and researcher with over a decade of academic experience. He began his teaching career as a part-time lecturer at the National Polytechnic of Bambui (2010-2012) and later joined the Institut Universitaire de la Côte in Douala, where he held roles as Assistant Lecturer (2015-2016) and Lecturer (2016-2020). In 2022, he was promoted to Associate Professor at the University of Dschang, Faculty of Science.

Dr. Fouokeng has also contributed significantly to academic administration, having served as:

  • Head of the Industrial Masters Department (2018-2019)
  • Coordinator of the Research Innovation Entrepreneurship Pole (2017-2019)
  • Head of the Academic Activities Monitoring Unit (2015-2019)
  • Coordinator for Teaching and Research Monitoring (2017-2018)

Additionally, he is the Leader of the ERASMUS+ 2023-2025 Project, promoting academic collaboration between University of Dschang and University of Maine le Mans in France.

📚 Research Interests : 

Dr. Fouokeng’s research focuses on Quantum Science, with particular expertise in:

  • Condensed Matter & Nanomaterials
  • Quantum Information Theory & Quantum Computing
  • Decoherence & Quantum Phase Transitions

His work has led to significant contributions in the study of quantum coherence, spin dynamics, and phase transitions in systems affected by environmental noise, as well as advances in metamagnetoelectric effects in multiferroic materials.

📝 Publication Top Notes :

  1. Fouokeng, G. C., Tchoffo, M., Moussiliou, S., Ngana Kuetche, J. C., Fai, L. C., & Siaka, M. (2014). Effect of noise on the decoherence of a central electron spin coupled to an antiferromagnetic spin bath. Advances in Condensed Matter Physics, 2014, Article ID 526205. https://doi.org/10.1155/2014/526205
  2. Fouokeng, G. C., Tchoffo, M., et al. (2014). The quenching field effect on the motion of an electron in an electromagnetic field potential. Modern Physics Letters B, 28(14), 1450058. https://doi.org/10.1142/S0217984914500581
  3. Fouokeng, G. C., Tchoffo, M., Ateuafack, M. E., & Fai, L. C. (2014). Dynamics of a central electron spin coupled to an anti-ferromagnetic spin bath driven by a variable magnetic field in the Landau-Zener scenario. European Physical Journal Plus, 129, 151. https://doi.org/10.1140/epjp/i2014-14151-9
  4. Fai, L. C., Diffo, J. T., Ateuafack, M. E., Tchoffo, M., & Fouokeng, G. C. (2014). Dynamics of a Landau-Zener nondissipative system with fluctuating energy levels. Physica B, 454, 157–164. https://doi.org/10.1016/j.physb.2014.02.012
  5. Tchoffo, M., Fouokeng, G. C., Fai, L. C., & Ateuafack, M. E. (2013). Thermodynamic properties and decoherence of a central electron spin of an atom coupled to an anti-ferromagnetic spin bath. Journal of Quantum Information Science, 3(1), 10–15. https://doi.org/10.4236/jqis.2013.31002
  6. Tchoffo, M., Ngana Kuetche, J. C., Moussiliou, S., Fouokeng, G. C., Fai, L. C., Beilinson, A. A., & Kenné, J. P. (2012). Decoherence of a Brownian particle in a double-well magnetic potential field. Far East Journal of Applied Mathematics, 68(1), 21–28.
  7. Tchoffo, M., Fouokeng, G. C., Moussiliou, S., Afuoti, N. E., Nsangou, I., Fai, L. C., Tchouadeu, A. G., & Kenné, J. P. (2012). Effect of the variable B-field on the dynamics of a central electron spin coupled to an anti-ferromagnetic qubit bath. World Journal of Condensed Matter Physics, 2, 246–256. https://doi.org/10.4236/wjcmp.2012.23033
  8. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Afuoti, N. E. (2014). Decoherence induced by a quenching driven field on the motion of a single electron. Physical Review & Research International, 4(2), 267–282.
  9. Tchoffo, M., Fouokeng, G. C., Fai, L. C., Ngoufo, L. A., & Diffo, J. T. (2014). Brownian particle’s decoherence in the double-well magnetic potential field. The African Review of Physics, 9(2), 207–215.
  10. Tchoffo, M., Ngana Kuetche, J. C., Fouokeng, G. C., Afuoti, N. E., & Fai, L. C. (2014). Kinematical Brownian motion of the harmonic oscillator in non-commutative space. American Journal of Modern Physics, 3(3), 138–142. https://doi.org/10.11648/j.ajmp.20140303.13
  11. Fai, L. C., Afuoti, N. E., Fouokeng, G. C., Ngana Kuetche, J. C., Tchoffo, M., & Kenné, J. P. (2014). Tailoring quantum correlations of a coupled central two qubits soaked in a finite temperature antiferromagnetic environment with frequency gap. Journal of Quantum Information Science, 4, 201–213. https://doi.org/10.4236/jqis.2014.44018
  12. Tchoffo, M., Fouokeng, G. C., Tendong, E., Fai, L. C. (2016). Dzyaloshinskii–Moriya interaction effects on the entanglement dynamics of a two-qubit XXZ spin system in non-Markovian environment. Journal of Magnetism and Magnetic Materials, 407, 358–364. https://doi.org/10.1016/j.jmmm.2016.02.073
  13. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Ngwa, E. A. (2016). Thermal activation process in hydrogen bonds. World Journal of Molecular Research, 1(1), 14–26.
  14. Tchoffo, M., Kenfack, L. T., Fouokeng, G. C. (2016). Quantum correlations dynamics and decoherence of a three-qubit system subject to classical environmental noise. European Physical Journal Plus, 131, 380. https://doi.org/10.1140/epjp/i2016-16380-1
  15. Fai, L. C., Ngana Kuetche, J. C., Fouokeng, G. C., Tchoffo, M., & Ngwa, E. A. (2016). Thermal activation process in hydrogen bonds. World Journal of Molecular Research, 1(1), 14–26.
  16. Tchoffo, M., Tsamouo, T. A., Fouokeng, G. C. (2017). Time evolution of quantum correlations in superconducting flux-qubits under classical noises. International Journal of Quantum Information, 15(2), 1750015. https://doi.org/10.1142/S0219749917500159
  17. Kenfack, L. T., Tchoffo, M., Fouokeng, G. C., & Fai, L. C. (2017). Effects of static noise on the dynamics of quantum correlations for a system of three qubits. International Journal of Modern Physics, 31(8), 1750046. https://doi.org/10.1142/S0217979217500465
  18. Diffo, J. T., Ateuafack, M. E., Fouokeng, G. C., Fai, L. C., Tchoffo, M. (2017). Interplay between Landau-Zener transition dynamic and quantum phase transition in dissipative spin chain with Dzyaloshinsky-Moriya interaction. Superlattices and Microstructures, 111, 310–318. https://doi.org/10.1016/j.spmi.2017.05.038
  19. Kenfack, L. T., Tchoffo, M., Fouokeng, G. C., Fai, L. C. (2017). Dynamics of tripartite quantum correlations in mixed classical environments: The joint effects of random telegraph and static noises. International Journal of Quantum Information, 15(5), 1750038. https://doi.org/10.1142/S0219749917500382
  20. Kenfack, L. T., Tchoffo, M., Fai, L. C., Fouokeng, G. C. (2017). Decoherence and tripartite entanglement dynamics in the presence of Gaussian and non-Gaussian classical noise. Physica B, 511, 123–133. https://doi.org/10.1016/j.physb.2017.03.008