Assoc. Prof. Dr. Anwar Shahid | Computational Fluid Dynamics | Best Researcher Award
Associate Professor at Quanzhou University of Information Engineering | China
Assoc. Prof. Dr. Anwar Shahid is a dedicated researcher whose scholarly work focuses on computational fluid dynamics, nanofluid transport, and advanced numerical modeling, supported by 989 citations, 25 scientific publications, and an h-index of 17 in Scopus-indexed databases. His research emphasizes the behavior of non-Newtonian and nanoparticle-enhanced fluids under varying thermal, magnetic, and porous media conditions, contributing to deeper mechanistic understanding and improved predictive capabilities in heat and mass transfer systems. He has developed and applied specialized numerical techniques-including spectral relaxation frameworks and high-accuracy iterative solvers-to analyze Sutterby, Casson, and viscoelastic nanofluids, producing high-impact findings that advance theoretical and engineering applications. His studies on magnetohydrodynamic (MHD) multiphase flows support innovations in aerospace propulsion analysis, energy-efficient thermal devices, and micro-scale cooling technologies. By systematically evaluating the roles of thermal relaxation time, magnetic parameters, slip conditions, and surface geometry, his models offer new design perspectives for enhancing thermal system reliability and performance. His scientific output reflects consistent contribution to the fields of nanofluid dynamics, nonlinear flow stability, and numerical simulation accuracy, and his editorial involvement highlights his standing within the research community. Dr. Shahid’s work continues to shape computational modeling approaches essential for sustainable technologies, precision thermal systems, and advanced industrial applications, positioning him as a strong candidate for recognition in the Best Researcher Award category.
Featured Publications
Shahid, A., Bhatti, M. M., Ellahi, R., & Mekheimer, K. S. (2022). Numerical experiment to examine activation energy and bi-convection Carreau nanofluid flow on an upper paraboloid porous surface: Application in solar energy. Sustainable Energy Technologies and Assessments Cited by 105.
Bhatti, M. M., Jun, S., Khalique, C. M., Shahid, A., Fasheng, L., & Mohamed, M. S. (2022). Lie group analysis and robust computational approach to examine mass transport process using Jeffrey fluid model. Applied Mathematics and Computation Cited by 58.
Shahid, A., Bhatti, M. M., Bég, O. A., Animasaun, I. L., & Javid, K. (2021). Spectral computation of reactive bi-directional hydromagnetic non-Newtonian convection flow from a stretching upper parabolic surface in non-Darcy porous medium. International Journal of Modern Physics B Cited by 25.
Bhatti, M. M., Shahid, A., Abbas, T., Alamri, S. Z., & Ellahi, R. (2020). Study of activation energy on the movement of gyrotactic microorganism in a magnetized nanofluids past a porous plate. Processes Cited by 152.
Shahid, A., Huang, H., Bhatti, M. M., Zhang, L., & Ellahi, R. (2020). Numerical investigation on the swimming of gyrotactic microorganisms in nanofluids through porous medium over a stretched surface. Mathematics Cited by 120.