Chuxiong Normal university | China
Assoc. Prof. Dr. Mumtaz Khan is a well-established researcher in applied mathematics and thermal–fluid sciences, with significant contributions to magnetohydrodynamics, nanofluid heat transfer, fractional calculus, and advanced numerical modeling. He has authored 37 scholarly documents, which have received 743 citations from 509 citing publications, demonstrating strong visibility and influence in the scientific community, with an h-index of 17. His research integrates fractional-order modeling, hybrid nanofluids, non-Newtonian fluid dynamics, porous media flow, and heat and mass transfer under complex physical effects such as magnetic fields, thermal radiation, slip conditions, and chemical reactions. He has published extensively in high-impact international journals, including Mathematical Methods in the Applied Sciences, Case Studies in Thermal Engineering, Ain Shams Engineering Journal, and ZAMM. His recent work also incorporates artificial neural networks and optimization techniques to enhance predictive accuracy in transport phenomena, contributing valuable theoretical and computational insights for engineering and energy-related applications.
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