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Ahmed Zeeshan

Researcher at International Islamic University, Islamabad

Publications -  155
Citations -  7802

Ahmed Zeeshan is an academic researcher from International Islamic University, Islamabad. The author has contributed to research in topics: Nanofluid & Heat transfer. The author has an hindex of 44, co-authored 127 publications receiving 6066 citations. Previous affiliations of Ahmed Zeeshan include King Fahd University of Petroleum and Minerals.

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A comparative study on magnetic and non-magnetic particles in nanofluid propagating over a Wedge

TL;DR: In this article, convective heat and mass transfer of nanofluid in the context of improving physical properties through magnetic and non-magnetic nanomaterials under the same conditions was investigated.
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Metachronal propulsion of a magnetised particle-fluid suspension in a ciliated channel with heat and mass transfer

TL;DR: In this article, the authors investigated the pumping of an electrically conducting particle-fluid suspension due to metachronal wave propulsion of beating cilia in a two-dimensional channel with heat and mass transfer under a transverse magnetic field.
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Flow analysis of biconvective heat and mass transfer of two-dimensional couple stress fluid over a paraboloid of revolution

TL;DR: In this article, two-dimensional non-Newtonian couple stress fluid flow over the upper horizontal surface of a paraboloid (uhsp) (shaped like a submarine or any aerodynamical automobile) is investigated.
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Thermally developed peristaltic propulsion of magnetic solid particles in biorheological fluids

TL;DR: In this paper, the effects of heat and mass transfer on peristaltic motion of solid particles in a dusty fluid are investigated and the effect of nonlinear thermal radiation and Hall current are also taken into account.
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Modelling study on heated couple stress fluid peristaltically conveying gold nanoparticles through coaxial tubes: A remedy for gland tumors and arthritis

TL;DR: In this article, a set of nonlinear and coupled mathematical equations governing the flow model has been converted into a system of ordinary differential equations using suitable transformations prior to seeking an analytical solutions.