Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

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Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.

Sohail Ahmad Khan | Mathematics | Young Scientist Award

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Dr. Sohail Ahmad Khan | Mathematics | Young Scientist Award

Quaid I Azam University Islamabad | Pakistan

Dr. Sohail Ahmad Khan is a distinguished researcher in Applied Mathematics with a strong background in Computational Fluid Dynamics, mathematical modeling, and heat and mass transfer. He earned his Ph.D., M.Phil., and M.Sc. in Applied Mathematics from Quaid-i-Azam University, Pakistan. His academic journey reflects a deep commitment to advancing analytical and numerical methods for nonlinear problems in Newtonian and non-Newtonian fluid mechanics.  Dr. Khan’s research primarily focuses on nanofluid flow, entropy generation, magnetohydrodynamics, and thermal analysis using advanced techniques such as the Homotopy Analysis Method, Finite Difference Method, and Keller Box Method. He actively serves as a reviewer for more than 120 high-impact journals and has received multiple international recognitions, including the World’s Top 2% Scientist ranking by Stanford University in 2022 and 2024. His dedication to mathematical innovation and interdisciplinary applications continues to influence modern engineering and physical sciences, contributing significantly to global research on nonlinear transport phenomena and energy optimization.

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Featured Publications

Hayat, T., Khan, S. A., Khan, M. I., & Alsaedi, A. (2019). Theoretical investigation of Ree–Eyring nanofluid flow with entropy optimization and Arrhenius activation energy between two rotating disks. Computer Methods and Programs in Biomedicine, 177, 57–68.

Khan, S. A., Hayat, T., Alsaedi, A., & Ahmad, B. (2021). Melting heat transportation in radiative flow of nanomaterials with irreversibility analysis. Renewable and Sustainable Energy Reviews, 140, 110739.

Hayat, T., Khan, S. A., Khan, M. I., & Alsaedi, A. (2019). Optimizing the theoretical analysis of entropy generation in the flow of second grade nanofluid. Physica Scripta, 94(8), 085001.

Razaq, A., Hayat, T., Khan, S. A., & Momani, S. (2023). ATSS model based upon applications of Cattaneo-Christov thermal analysis for entropy optimized ternary nanomaterial flow with homogeneous-heterogeneous chemical reactions. Alexandria Engineering Journal, 79, 390–401.

Khan, S. A., Hayat, T., Khan, M. I., & Alsaedi, A. (2020). Salient features of Dufour and Soret effect in radiative MHD flow of viscous fluid by a rotating cone with entropy generation. International Journal of Hydrogen Energy, 45(28), 14552–14564.