Davron Juraev | Mathematics | Best Researcher Award

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Prof. Dr. Davron Juraev | Mathematics | Best Researcher Award

Turon University | Uzbekistan

Prof. Dr. Davron Juraev is a leading mathematical scientist recognized for his profound contributions to mathematical physics, numerical analysis, and applied mathematics, with a citation record of 1421 citations, an h-index of 22, and an i10-index of 39. His extensive publication portfolio covers topics such as the Cauchy problem, Helmholtz equations, fractional calculus, and ill-posed problems, making significant theoretical and computational advancements. Prof. Juraev has served as Editor-in-Chief of the Karshi Multidisciplinary International Scientific Journal (KMISJ) and on editorial boards of numerous international journals, including IETI Transactions on Data Analysis and Forecasting (iTDAF), Computational Algorithms and Numerical Dimensions (CAND), and Advanced Engineering Science (AES). He has also acted as a Guest Editor for special issues in Axioms (Switzerland) and Global and Stochastic Analysis (India). His research leadership extends to major projects funded by the Academy of Sciences of Uzbekistan and the Ministry of Innovative Development, focusing on dynamic systems and anti-radar missile trajectory optimization. Widely respected as a reviewer, collaborator, and innovator, Prof. Juraev’s works continue to influence contemporary research in computational modeling, differential equations, and mathematical problem-solving worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Efendiev, R. F., Juraev, D. A., & Elsayed, E. E. (2025). PT-symmetric Dirac inverse spectral problem with discontinuity conditions on the whole axis. Symmetry, 17(10), 1603.

Martin, N., Yue, G. X. G., & Juraev, D. A. (2025). Plithogenic machine learning solutions to material selection in renewable energy systems. IETI Transactions on Data Analysis and Forecasting (iTDAF), 3(3), Article 57085.

Juraev, D. A. (2025). A mathematical model for the maintenance scheduling problem with disturbance effect and single maintenance team. Advanced Mathematical Models and Applications, 10(2), 304.

Basholli, F., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Deep learning for skin disease classification: A comparative study of CNN and CNN-LSTM architectures. Journal of Computing and Data Technology, 1(1), 40–49.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Abdalla, M. (2025). Cauchy problem for the biharmonic equation. Journal of Umm Al-Qura University for Applied Sciences, 5(2), 244.

Liu, T., Ding, B., Nemati Saray, B., Juraev, D. A., & Elsayed, E. E. (2025). On the pseudospectral method for solving the fractional Klein–Gordon equation using Legendre cardinal functions. Fractal and Fractional, 9(3), 177.

Annaghili, S., Efendiev, R., Juraev, D. A., & Abdalla, M. (2025). Spectral analysis for the almost periodic quadratic pencil with impulse. Boundary Value Problems, 2025(1), 27.

Abdulwahid, M. M., Kurnaz, S., Kurnaz Türken, A., Hayal, M. R., Elsayed, E. E., & Juraev, D. A. (2025). Performance analysis of input power variations in high data rate DWDM-FSO systems under various rain conditions. Journal of Optics, 54(1), 47.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Cauchy problem for matrix factorizations of Helmholtz equation on a plane. In Recent Trends in Fractional Calculus and Its Applications (pp. 245–258). Elsevier.

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). Integral formula for matrix factorizations of Helmholtz equation. In Recent Trends in Fractional Calculus and Its Applications (pp. 233–243). Elsevier.

Juraev, D. A., Noeiaghdam, S., Agarwal, P., & Agarwal, R. P. (2024). On the Cauchy problem for systems of linear equations of elliptic type of the first order in the space R^m. Turkish World Mathematical Society Journal of Applied and Engineering Mathematics, 4(1), 77–90.*

Juraev, D. A., Agarwal, P., Shokri, A., & Elsayed, E. E. (2024). The Cauchy problem for matrix factorizations of Helmholtz equation in space. In Recent Trends in Fractional Calculus and Its Applications (pp. 259–273). Elsevier.

Niyozov, I. E., Juraev, D. A., Efendiev, R. F., & Jalalov, M. J. (2024). The Cauchy problem for the system of elasticity. Journal of Contemporary Applied Mathematics, 14(2), 92.

Muxammedov, B. M., Sanko, A. A., Juraev, D. A., & Elsayed, E. E. (2024). Optimizing rocket trajectories: Advanced mathematical modeling in MATLAB/Simulink. International Journal of Information Technology, 16(12), 2162.

Putra, F. G., Putra, R. W. Y., Ricardo, S., Widyawati, S., & Juraev, D. A. (2024). Effectiveness of meaningful instructional design in improving students' mathematical skills. Journal of Philology and Educational Sciences, 32(5), 325.

Liu, T., Xue, R., Ding, B., Juraev, D. A., Nemati Saray, B., & Soleymani, F. (2024). A novel and effective scheme for solving the fractional telegraph problem via the spectral element method. Fractal and Fractional, 8(12), 711.

Elsayed, E. E., Hayal, M. R., & Juraev, D. A. (2024). Ensemble machine learning approaches for robust classification of maize plant leaf diseases. Journal of Modern Technology, 1(2), 87–93.

Egamberdiev, K., Khidirova, N., Juraev, D. A., & Elsayed, E. E. (2024). Numerical solution of groundwater modeling for mountain regions of Uzbekistan. Discover Water, 4(1), 159.

Sergio Manzetti | Mathematics | Best Researcher Award

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Dr. Sergio Manzetti | Mathematics | Best Researcher Award

Linnaeus University | France

Dr. Sergio Manzetti is a distinguished researcher whose interdisciplinary work bridges mathematics, quantum information theory, and nanotechnology. With an h-index of 26, 4,946 citations, and numerous scholarly documents, his research demonstrates both depth and global impact. His expertise spans mathematical analysis, Fourier analysis of partial differential equations (PDEs), quantum chemistry, computational systems, and nonlinear dynamics, contributing significantly to the understanding of quantum systems and wave phenomena. Dr. Manzetti’s academic foundation includes advanced degrees from Uppsala University, Linnaeus University, Queensland University of Technology, and Oslo University College, where he specialized in the mathematical and physical sciences. His professional experience is equally impressive—serving as an EU expert for Marie-Curie Fellowships, AI prompt reviewer at Mercor Intelligence, and researcher at Fjord-Research AS. He has co-authored influential publications in Analysis and Mathematical Physics, Advanced Theory and Simulations, and RSC Advances, addressing topics from eigenvalue problems of non-self-adjoint operators to supersymmetric wave equations and nanomaterial design. Skilled in Python, Mathematica, and MATLAB, Dr. Manzetti combines theoretical rigor with computational precision. His contributions to quantum information systems, rogue wave modeling, and nanotechnology continue to advance interdisciplinary research, positioning him as a leading figure in applied mathematics and theoretical chemistry.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Manzetti, S., & Khrennikov, A. (2025, September 28). Quantum and topological dynamics of GKSL equation in camel-like framework. Entropy.

Manzetti, S. (2025, September 22). Geometric formalism for quantum entanglement via B³ and S⁰ mappings. Preprint.

Manzetti, S., & Khrennikov, A. (2025, July 11). Quantum and topological dynamics of the GKSL equation in the camel-like framework. Preprint.

Kumar, R., Hiremath, K. R., & Manzetti, S. (2024, April). A primer on eigenvalue problems of non-self-adjoint operators. Analysis and Mathematical Physics.

Manzetti, S. (2021). Spectral properties of non-self adjoint operators: A review of the recent literature. Unpublished manuscript.

Kamerlin, N., Delcey, M. G., Manzetti, S., & van der Spoel, D. (2020, August 24). Toward a computational ecotoxicity assay. Journal of Chemical Information and Modeling.

Manzetti, S., & Trounev, A. (2020, January). Analytical solutions for a supersymmetric wave-equation for quasiparticles in a quantum system. Advanced Theory and Simulations.

Manzetti, S. (2020, January). Electromagnetic vorticity in a square-well crystal system described by a supersymmetric wave-equation. Advanced Theory and Simulations.

Ghisi, R., Vamerali, T., & Manzetti, S. (2019). Accumulation of perfluorinated alkyl substances (PFAS) in agricultural plants: A review. Environmental Research.

van der Spoel, D., Manzetti, S., Zhang, H., & Klamt, A. (2019, August 27). Prediction of partition coefficients of environmental toxins using computational chemistry methods. ACS Omega.

Manzetti, S., & Gabriel, J.-C. P. (2019, March 2). Methods for dispersing carbon nanotubes for nanotechnology applications: Liquid nanocrystals, suspensions, polyelectrolytes, colloids and organization control. International Nano Letters.

Manzetti, S., & Trounev, A. (2019, May). Supersymmetric Hamiltonian and vortex formation model in a quantum nonlinear system in an inhomogeneous electromagnetic field. Advanced Theory and Simulations.

Behzadi, H., Manzetti, S., Dargahi, M., Roonasi, P., & Khalilnia, Z. (2018). Application of calculated NMR parameters, aromaticity indices and wavefunction properties for evaluation of corrosion inhibition efficiency of pyrazine inhibitors. Journal of Molecular Structure.

Manzetti, S. (2018). Applied quantum physics for novel quantum computation approaches: An update. Computational Mathematics and Modeling.

Manzetti, S. (2018). Mathematical modeling of rogue waves, a review of conventional and emerging mathematical methods and solutions. Preprint.

Manzetti, S. (2018, November 8). Derivation and numerical analysis of an attenuation operator for non-relativistic waves. Scientific Reports.

Manzetti, S., & Lu, T. (2018, August 20). Addendum: Solvation energies of butylparaben, benzo[a]pyrene diol epoxide, perfluorooctanesulfonic acid, and DEHP in complex with DNA bases. Chemical Research in Toxicology.

Manzetti, S. (2018, June 20). Mathematical modeling of rogue waves: A survey of recent and emerging mathematical methods and solutions. Axioms.