Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

Published-on by Indian Scientist

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

Vishwajeet Bachhar | Nanotechnology | Best Researcher Award

Published-on by Indian Scientist

Mr. Vishwajeet Bachhar | Nanotechnology | Best Researcher Award

DIT University | India

Dr. Vishwajeet Bachhar is an emerging researcher in the field of Chemistry, with notable expertise in green and conventional nanotechnology, catalysis, corrosion inhibition, computational chemistry, and biomedical applications. Holding a Ph.D. in Chemistry from DIT University, his academic foundation is strengthened by a master’s degree in Industrial Chemistry and a bachelor’s in science. He has over three years of teaching experience as a Teaching Assistant at DIT University and more than five years of active research experience. His interdisciplinary research encompasses phytochemistry, nanomaterials, environmental chemistry, drug delivery systems, and pharmacological assays. Dr. Bachhar has authored and co-authored several high-impact publications in reputed Elsevier, Springer, Wiley, and RSC journals, and holds multiple Indian patents related to nanomaterial synthesis and biomedical applications. His research works have earned 199 citations with an h-index of 10 and i10-index of 10, reflecting his growing influence in the scientific community. He has also served as a peer reviewer for numerous international journals including ACS Omega, Scientific Reports, and Bioresource Technology. Dr. Bachhar’s contributions to sustainable materials, computational modeling, and bioactive nanostructures highlight his dedication to advancing eco-friendly and biomedical innovations with global collaboration and scientific integrity.

Profile: Google Scholar

Featured Publications

Haldhar, R., Raorane, C. J., Bachhar, V., Katin, K. P., Berdimurodov, E., & Kim, S. C. (2025). Dual-functional Quercus palustris leaves extract as a sustainable corrosion inhibitor for low-carbon steel and its biomedical potential: Electrochemical, biological, and computational insights. Sustainable Materials and Technologies, 44, e01378.

Joshi, V., Bachhar, V., Singh, P., Duseja, M., Haldhar, R., Katin, K. P., Berdimurodov, E., & Kim, S. C. (2025). Rheological and anticorrosion study of Piper chaba extract and coating for mild steel in 2M H2SO4. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 708, 135989.

Bachhar, V., Joshi, V., Bhatia, A., Rom, T., Duseja, M., & Shukla, R. K. (2025). Green synthesis of AgFe bimetallic nanoparticles from Calyptocarpus vialis plant extract for enhanced catalytic reduction of 4-NP, antioxidant and antibacterial activities. Journal of Environmental Chemical Engineering, 116829.

Bachhar, V., Joshi, V., Singh, P., Berisha, A., Haldhar, R., Duseja, M., & Shukla, R. K. (2025). Anticorrosion and rheological properties of Calyptocarpus vialis extract as a green coating for mild steel in 2M H2SO4. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 705, 135606.

Bachhar, V., Joshi, V., Shekher Mishra, S., Shukla, R. K., Bhargava, S., & Duseja, M. (2024). In‐vitro antimicrobial, antidiabetic and anticancer activities of Calyptocarpus vialis extract and its integration with computational studies. ChemistrySelect, 9(35), e202401414.