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.

Nagaraju Gajjela | Mathematics | Best Researcher Award

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Dr. Nagaraju Gajjela | Mathematics | Best Researcher Award

SR University, India

Author Profile

ORCID

🎓 EARLY ACADEMIC PURSUITS

  • Bachelor of Science (B.Sc.) in Mathematics, Physics, and Chemistry from University Arts & Science College, Hanamkonda, affiliated with Kakatiya University (2002).

  • Master of Science (M.Sc.) in Applied Mathematics from the National Institute of Technology (NIT), Warangal (2004).

  • Doctor of Philosophy (Ph.D.) in Mathematics from NIT Warangal (2010).

🏢 PROFESSIONAL ENDEAVORS

Dr. Gajjela has amassed over 18 years of teaching and research experience across various esteemed institutions:

  • SR University, Warangal: Assistant Professor in the Department of Computer Science and Engineering (AI & ML) since September 2022.

  • Vaagdevi College of Engineering, Warangal: Assistant Professor (March 2022 – September 2022).

  • Amity University, Tashkent, Uzbekistan: Associate Professor (September 2021 – January 2022).

  • ICFAI University, Hyderabad: Assistant Professor (October 2020 – August 2021).

  • Lebanese French University, Erbil, Iraq: Assistant Professor (September 2018 – July 2020).

  • GITAM University, Hyderabad: Assistant Professor (June 2010 – June 2019).

  • NIT Warangal: Research Scholar and Teaching Assistant (January 2007 – April 2010).

  • SR Engineering College, Warangal: Assistant Professor (September 2004 – December 2006).

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Gajjela’s research primarily revolves around Fluid Dynamics, with specific interests in:

  • Magnetohydrodynamics (MHD)

  • Non-Newtonian Fluids

  • Heat and Mass Transfer

  • Flow Dynamics around Cylindrical Structures

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

According to the AD Scientific Index:

  • Publications: 22

  • Citations: 576

  • World Ranking: #650,072 in Natural Sciences – Mathematical Sciences

  • Institutional Affiliation: IBS Hyderabad

Note: While the index lists “G Nagaraju” affiliated with IBS Hyderabad, the alignment with Dr. Nagaraju Gajjela should be verified for accuracy.

🌍 IMPACT AND INFLUENCE

Dr. Gajjela’s work has significantly contributed to the understanding of complex fluid behaviors, especially in the context of MHD and non-Newtonian fluids. His research findings are instrumental in various engineering applications, including thermal management systems and industrial fluid processes.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gajjela’s extensive teaching experience across multiple countries and institutions underscores his commitment to mathematics education and research. His work in fluid dynamics continues to inspire and pave the way for future research in the field.

 ✅CONCLUSION

Dr. Nagaraju Gajjela stands out as a dedicated mathematician and educator, with a rich background in fluid dynamics and a passion for teaching. His contributions have not only advanced academic understanding but also have practical implications in engineering and applied sciences.

 🔬NOTABLE PUBLICATION:

Title: Impact on induced magnetic field over a second-grade hybrid nanofluid in unsteady thermal systems
Authors: Dr. Nagaraju Gajjela et al.
Journal: Case Studies in Thermal Engineering
Year: 2025

Title: Regression analysis of thermophysical effects in Casson nanofluid flow: Entropy generation, magnetic induction, and mixed convection in an inclined geometry
Authors: Dr. Nagaraju Gajjela et al.
Journal: International Journal of Thermofluids
Year: 2025

Title: Entropy-optimized flow of couple stresses in a porous inclined pipe with uniform magnetic field and mixed convection
Authors: Dr. Nagaraju Gajjela et al.
Journal: Physica Scripta
Year: 2024

Title: MHD Maxwell dusty fluid in thermally stratified radiative flow with temperature-dependent thermal conductivity and Cattaneo-Christov model
Authors: Dr. Nagaraju Gajjela et al.
Journal: Heliyon
Year: 2024

Title: Heat transfer in couple stress two-fluid flow model: Effects of modified heat flux, electromagnetic force, and uneven heat source/sink
Authors: Dr. Nagaraju Gajjela et al.
Journal: Computational Thermal Sciences
Year: 2023