Aishwarya Jaiswal | Numerical Analysis | Best Researcher Award

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Ms. Aishwarya Jaiswal | Numerical Analysis | Best Researcher Award

IIT BHU| India

Aishwarya Jaiswal is a dedicated researcher in numerical analysis of partial differential equations, contributing to the advancement of efficient and uniformly convergent computational methods. With strong academic preparation in mathematics and computing from premier Indian institutes, she has developed expertise in numerical schemes for singularly perturbed systems, convection–diffusion models, parabolic reaction–diffusion equations, and multiscale interface problems. Her scholarly output includes multiple peer-reviewed publications in international journals, supported by citation metrics that reflect early research impact, including 1 citation, 1 h-index, and 0 i10-index, along with 1 indexed document. She has worked on diverse research themes such as boundary and interior layer phenomena, component-wise splitting algorithms, higher-order numerical schemes, and efficient discretization techniques. Her academic journey includes hands-on research experience through conference presentations, workshops, and collaborative visits at reputed institutions, contributing to global knowledge exchange in applied mathematics. Her interests span numerical PDEs, error analysis, computational methods, and scientific computing. She has been recognized with prestigious competitive awards, including highly regarded research fellowships that support her doctoral investigations. Through her continued focus on accuracy, robustness, and computational efficiency, she aims to contribute impactful advancements to the field of numerical mathematics and applied scientific computation.

Profile: Google Scholar

Featured Publications

Jaiswal, A., Kumar, S., & Ramos, H. Boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems: Efficient numerical resolution and analysis. International Journal of Numerical Methods for Heat & Fluid Flow., Cited by: 1

Jaiswal, A., Kumar, S., & Clavero, C. Efficient component-wise splitting approach to solve coupled singularly perturbed parabolic reaction–diffusion systems with interior layers. Numerical Algorithms.

Jaiswal, A., Kumar, S., & Ramos, H. Efficient uniformly convergent numerical methods for singularly perturbed parabolic reaction–diffusion systems with discontinuous source term. Journal of Applied Mathematics and Computing.

Jaiswal, A., Kumar, S., & Kumar, S. A priori and a posteriori error analysis for a system of singularly perturbed Volterra integro-differential equations. Computational and Applied Mathematics, 42(6), 278.

Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

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

Anurag University | India

Dr. Shravan Kumar R is an emerging researcher in the field of Fluid Dynamics and Artificial Neural Networks, currently serving as an Assistant Professor at Anurag University. He earned his Ph.D. from the National Institute of Technology, Warangal, where his work focused on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His academic foundation includes an M.Sc. in Applied Mathematics from NIT Warangal and a B.Ed. and B.Sc. from Kakatiya University. His research interests encompass fluid dynamics, differential equations, and computational modelling using deep learning techniques. Dr. Kumar has published several impactful papers in reputed journals such as the Journal of Thermal Analysis and Calorimetry, International Journal of Applied and Computational Mathematics, and European Journal of Mechanics – B/Fluids. His scholarly output has achieved an h-index of 3, i10-index of 2, and 50 citations as per Google Scholar. A recipient of strong academic distinctions, including qualifying the SET and securing a top rank in GATE, he has actively participated in conferences, FDPs, and workshops on mathematics, AI, and machine learning. Dr. Kumar continues to integrate neural networks with fluid mechanics, contributing toward advancing computational mathematics and intelligent simulation methods.

Profile: Google Scholar

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(24), 14891–14903. https://doi.org/10.1007/s10973-022-XXXXX-X

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/S207004822305XXX

Srinivasacharya, D., & Kumar, R. S. (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/s40819-023-016XX-X

Nallpu, S., Sneha, G. S., & Kumar, R. S. (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

Salahuddin | Mathematics | Best Academic Researcher Award

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Assoc. Prof. Dr. Salahuddin | Mathematics | Best Academic Researcher Award

Amet University | India

Dr. Salahuddin is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Mathematics at AMET University, Chennai. He holds a Ph.D. in Mathematics and an M.Tech in Computer Sciences, with a distinguished academic and research career spanning over two decades. His extensive experience includes 21 years of teaching, research, and administrative leadership, having served as Head of the Department of Mathematics and Applied Sciences at PDM University, Haryana. With 204 research papers published in reputed journals, 4 books, and 6 book chapters to his credit, Dr. Salahuddin has made significant contributions to areas such as Special Functions, Statistical Analysis, Bio-Statistics, Computer Graphics, and Fuzzy Logic. He has guided Ph.D. and postgraduate students, developed M.Sc. Mathematics curricula, and is proficient in various statistical and mathematical software tools. His work has been recognized through numerous national research and excellence awards. According to Google Scholar, Dr. Salahuddin has received 125 citations, with an h-index of 6 and an i10-index of 3, reflecting his impactful scholarly contributions. His ongoing research continues to integrate mathematical theory with computational applications, promoting innovation and excellence in mathematical sciences.

Profile: Google Scholar

Featured Publication

Arora, A., Singh, R., & Salahuddin. (2008). Development of a summation formulae of half argument using Gauss and Bailey Theorems. Journal of Rajasthan Academy of Physical Sciences, 7(3), 335–342.

Srivastava, H. M., Srivastava, R., Chaudhary, M. P., & Salahuddin. (2020). A family of theta-function identities based upon combinatorial partition identities related to Jacobi’s triple-product identity. Mathematics, 8, 1–14.

Salahuddin, & Khola, R. K. (2014). New hypergeometric summation formulae arising from the summation formulae of Prudnikov. South Asian Journal of Mathematics, 4(4), 192–196.

Salahuddin. (2011). A new summation formula allied with hypergeometric function. Global Journal of Science Frontier Research, 11(6), 21–37.

Salahuddin, & Chaudhary, M. P. (2010). Development of some summation formulae using hypergeometric function. Global Journal of Science Frontier Research, 10(1), 36–48.