Dr. Meharu Fentahun Endalew | Best Researcher Award

Dr. Meharu Fentahun Endalew | Best Researcher Award

Beijing Institute of Mathematical Sciences and Applications (BIMSA) | China

Mehari Fentahun Endalew is a researcher affiliated with Debre Tabor University, Ethiopia, and the Beijing Institute of Mathematical Sciences and Applications (BIMSA), with a verified institutional email at dtu.edu.et. His academic background and professional experience are centered on applied mathematics and mathematical modeling, with a strong emphasis on fluid mechanics. His research focuses on hydromagnetic (MHD) flows, Casson and second-grade fluids, nanofluids, porous media, heat and mass transfer, dual-phase-lag heat transfer models, fractional calculus, and convection phenomena. Endalew has authored 19 peer-reviewed documents that have received 237 citations across 149 citing documents, resulting in an h-index of 9. His scholarly output includes publications in journals such as Boundary Value Problems, Heat Transfer,Asian Research, Scientific Reports, International Journal of Fluid Mechanics Research, Journal of Applied and Computational Mechanics, Engineering Reports, Fractal and Fractional, and Partial Differential Equations in Applied Mathematics. His work demonstrates sustained contributions to analytical, numerical, and temporal analyses of complex transport phenomena, including melting heat transfer, radiative effects, magnetic field inclination, chemical reactions, and slip conditions in porous and microchannel flows. Through interdisciplinary mathematical modeling, he continues to advance the theoretical understanding of fluid flow and heat and mass transfer processes.

Citation Metrics (Scopus)

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Citations
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Featured Publications

Dr. Mubbashar Nazeer | Editorial Board Member

Dr. Mubbashar Nazeer | Editorial Board Member

Government College University Faisalabad | Pakistan

Dr. Mubbashar Nazeer is a prominent researcher in applied mathematics, specializing in fluid mechanics, bio-fluids, nanofluid dynamics, heat transfer, cavity flows, and finite element analysis. With an h-index of 23, over 90+ documents, and more than 1,800 citations, his research has made significant contributions to nonlinear rheology, multiphase flow modeling, magnetohydrodynamics, and thermal transport in complex fluids. His academic journey includes advanced training in applied mathematics and computational fluid dynamics, followed by extensive experience in numerical modeling, perturbation methods, and simulation-based analysis of non-Newtonian fluid flows. Dr. Nazeer’s research consistently addresses real-world engineering and physiological flow problems, emphasizing novel rheological models such as Eyring–Powell, Casson, Rabinowitsch, Ellis, Jeffrey, and Maxwell fluids. He has collaborated widely across international research groups and published influential work in high-impact journals such as International Communications in Heat and Mass Transfer, Case Studies in Thermal Engineering, Surfaces and Interfaces, and Numerical Methods for Partial Differential Equations. His contributions have earned recognition within the fluid mechanics community, including acknowledgments for outstanding research productivity and high-impact publications. Overall, Dr. Nazeer remains committed to advancing computational modeling and thermal–fluid sciences through innovative problem-solving and interdisciplinary collaboration.

Profile : Google Scholar

Featured Publications

Nayak, M. K., Shaw, S., Khan, M. I., Pandey, V. S., & Nazeer, M. (2020). Flow and thermal analysis on Darcy–Forchheimer flow of copper–water nanofluid due to a rotating disk: A static and dynamic approach. Journal of Materials Research and Technology, 9(4), 7387–7408.

Chu, Y. M., Nazeer, M., Khan, M. I., Hussain, F., Rafi, H., Qayyum, S., & Abdelmalek, Z. (2021). Combined impacts of heat source/sink, radiative heat flux, temperature-dependent thermal conductivity on forced convective Rabinowitsch fluid. International Communications in Heat and Mass Transfer, 120, 105011.

Nazeer, M., Khan, M. I., Rafiq, M. U., & Khan, N. B. (2020). Numerical and scale analysis of Eyring–Powell nanofluid towards a magnetized stretched Riga surface with entropy generation and internal resistance. International Communications in Heat and Mass Transfer, 119, 104968.

Nazir, M. W., Javed, T., Ali, N., & Nazeer, M. (2021). Effects of radiative heat flux and heat generation on magnetohydrodynamics natural convection flow of nanofluid inside a porous triangular cavity. Numerical Methods for Partial Differential Equations.

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