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

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. Shuo Yang | Innovative Research Award

Prof. Shuo Yang | Innovative Research Award

Shenyang Institute of Engineering | China

Prof. Shuo Yang is a distinguished researcher and Project Manager at the Shenyang Institute of Engineering, where he also serves as Managing Director of the Key Laboratory of Liaoning Province for Clean Combustion Power Generation and Heat-Supply Technology. He holds a Doctor of Engineering degree in Engineering Thermophysics from Northeastern University (2017), following his Master’s and Bachelor’s degrees in Thermal Engineering and Thermal Energy & Power Engineering from Liaoning Technical University. Dr. Yang has published 35 scientific papers, accumulating over 1,662 reads, 150 citations, and an h-index of 9 (as of 2025). His research focuses on microfluidics, thermocapillary and Marangoni convection, mesoscale fluid control, and clean combustion technologies. He integrates numerical simulations and experimental analyses to study complex interfacial and capillary phenomena, advancing understanding in energy and fluid mechanics. A recognized reviewer for leading journals such as Journal of Crystal Growth, Applied Sciences, and Symmetry, Dr. Yang also serves as a communication review expert for the National Natural Science Foundation of China. He has been honored with the prestigious “Ten Thousand Level” Talent Title under the Liaoning Province Hundred, Thousand and Ten Thousand Talent Project. His ongoing work continues to bridge theoretical and applied research in energy and fluid systems innovation.

Profiles : Research Gate | Orcid

Featured Publications

Xiao, Y., Cui, J., Pan, H., Zhu, L., Xu, B., Yang, X., Zhao, H., Yang, S., Zhao, Y., & Wirsum, M. (2025). Investigation of ammonia–coal co-combustion performance and NOx formation mechanisms under varied ammonia injection strategies. Energies, 18(21), 5609. https://doi.org/10.3390/en18215609

 Yang, S., Luo, J., Gao, Y., Wang, S., Zhang, Y., Wang, Y., Ge, P., Li, W., Zheng, Y., & Cui, J. (2024). Experimental study on the effects of washing time, washing temperature, and particle size on the combustion and ash formation characteristics of rice husk. ACS Omega, 9(52), 38820–38833. https://doi.org/10.1021/acsomega.4c08820

 Yang, S., Ge, P., Gao, Y., Luo, J., Wang, T., Liu, Z., Zheng, Y., Li, W., & Cui, J. (2024). Effect of a uniform axial magnetic field on the spatiotemporal evolution of thermocapillary convection in a high Prandtl fluid under microgravity. Symmetry, 16(12), 1645. https://doi.org/10.3390/sym16121645

 Xiao, W., Cui, J., Pan, H., Zhao, H., Yang, S., Xue, Z., Fu, Y., & Xu, Y. (2024). A study on the influence of oxy-hydrogen gas flame on the combustion stability of coal powder and nitrogen oxide emissions. Processes, 12(8), 1777. https://doi.org/10.3390/pr12081777

 Cui, J., Zhao, H., Xu, Y., Yang, S., Pan, H., Xiao, W., Fu, Y., & Xue, Z. (2024). Experimental investigation on oxy-hydrogen gas flame injecting coal powder gasification and combustion. Processes, 12(4), 692. https://doi.org/10.3390/pr12040692