Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar Rudrabhatla is an Assistant Professor at Anurag University, Hyderabad, specializing in fluid dynamics and artificial neural networks. He earned his Ph.D. in Applied Mathematics from the National Institute of Technology (NIT), Warangal in 2023 under the supervision of Prof. D. Srinivasacharya, focusing on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His research integrates deep learning, computational fluid dynamics, and heat and mass transfer modeling, contributing to the understanding of complex non-Newtonian flows. Dr. Rudrabhatla has authored 6 research articles, accumulated 49 citations from 43 documents, and achieved an h-index of 4, as indexed by Scopus. His recent works include publications in European Journal of Mechanics B/Fluids, Physics of Fluids, Mathematical Models and Computer Simulations, and Journal of Thermal Analysis and Calorimetry. He has participated in numerous faculty development programs, workshops, and GIAN courses focused on machine learning and computational modeling. His academic journey is complemented by strong technical skills in Python, MATLAB, and C++, and a teaching background spanning over a decade. Dr. Rudrabhatla’s work continues to advance the intersection of mathematics, fluid mechanics, and artificial intelligence, contributing significantly to modern computational sciences.

Profiles : Orcid | Google Scholar | Scopus

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147, 14891–14903. https://doi.org/10.1007/s10973-022-11694-w

Srinivasacharya, D., & Shravan Kumar, R. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-01556-w

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S2070048223050101

Nallapu, S., Sneha, G. S., & Kumar, S. R. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401

Prof. Dr. Davron Juraev | Best Researcher Award

University of Economics and Pedagogy | Uzbekistan

Dr. Davron Aslonqulovich Juraev is a distinguished mathematician and researcher currently serving as a Research Fellow at the Scientific Research Center of Baku Engineering University, Azerbaijan. With an academic career spanning over a decade, he has previously held positions as Head of the Department of Natural Science Disciplines at the Higher Military Aviation School of the Republic of Uzbekistan and Associate Professor of Mathematics at Karshi State University. Dr. Juraev has authored 52 scientific documents, which have collectively received 449 citations and an h-index of 15, reflecting his growing international impact. His primary research interests encompass mathematical physics, partial differential equations, ill-posed problems, Cauchy problems, and spectral theory, with particular contributions to matrix factorization methods for the Helmholtz equation and inverse spectral problems. He has also explored fractal calculus, heat transfer models, and blockchain-based mathematical modeling. Dr. Juraev’s extensive collaborations with scholars worldwide have led to numerous high-impact publications in journals such as Symmetry, Engineering Reports, and Journal of Electronic Materials. His academic achievements underscore a profound dedication to advancing mathematical modeling and applied analysis, making him a recognized figure in theoretical and computational mathematics.

Featured Publications

Juraev, D. A., Feyruz Efendiev, R., & Abdullaev, O. K. (2025). On an approximate solution of the Cauchy problem for the Helmholtz equation. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2545036

Jamilov, U. U., Khamraev, A. Y., Norov, A. Z., Juraev, D. A., Nurhidayat, I., & Shah, M. A. (2025). On the family of non-constrained Volterra cubic operators. Research in Mathematics, 2025(12-31). https://doi.org/10.1080/27684830.2025.2528285

Abdullayev, J. S., Sapaev, I. B., Abdullayev, J. S., Juraev, D. A., Jalalov, M. J., & Elsayed, E. E. (2025). Mathematical modeling of incomplete ionization in radial p-Si/n-GaAs heterojunctions: Temperature and doping effects. Journal of Electronic Materials, 54(11). https://doi.org/10.1007/s11664-025-12391-8

Abbasov, Z. D., Juraev, D. A., Abdullaev, O. K., Nurhidayat, I., & Shah, M. A. (2025). Heat transfer in n-dimensional parallelepipeds under zero Dirichlet conditions. Engineering Reports, 7(10). https://doi.org/10.1002/eng2.70458

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. https://doi.org/10.3390/sym17101603