SZ
Syed Sohaib Zafar
Sir Syed University of Engineering and Technology, Federal Urdu University, Federal Urdu University of Arts, Science and Technology, University of Karachi
About
I am a Senior Lecturer whose research focuses on fluid dynamics, heat and mass transfer, non-Newtonian fluid mechanics, nanofluids, and bio-convective transport phenomena. My work involves mathematical modeling, numerical methods, and scientific computing to analyze complex engineering systems. I am also interested in machine learning and artificial intelligence for predictive modeling, scientific computing, and engineering applications.
Employment
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Sir Syed University of Engineering and Technology Senior Lecturer2024 - Present
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Federal Urdu University Lecturer2022 - 2024
Education
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Federal Urdu University of Arts, Science and Technology PhD2022 - 2026
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Federal Urdu University of Arts, Science and Technology MPhil2017 - 2020
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University of Karachi MSc.2014 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (45)
- Artificial intelligence neural network (AINN) with levenberg–marquardt training algorithm for heat and mass transport exploration of Ag-CuO/water hybrid nanofluid Save
- Computational Analysis of Prandtl on the Fluid Relaxation Time Features for the Energy and Concentration Nanomaterial Flow of Motile Microorganisms Induced by a Deformable Sheet With Chemical Reactions Save
- Convergence analysis of nanoparticle-dispersed flow past a porous rotating disk: A Darcy-Forchheimer model with radiation and convective heating Save
- Homann modeling of thermodynamic optimization on yield-stress nanofluid with radiation and bioconvection effects Save
- Numerical attribution of bioconvection magnetised electrical flow of thermal radiation in a nanoliquid with thermal/solutal convective curve surface Save
- Radiative Features of Darcy Forchheimer Flow of Entropy-Optimized Cross Flow Conveying Ternary Hybrid Nanofluid Past a Stretching Cylinder Save
- The Darcy–Forchheimer tangent hyperbolic bioconvection flow of a nanofluid caused by a convective sheet: numerical study of the stagnation point Save
- The repercussion of distance and radius of nanoparticles for the flow of inclined magnetic field through a porous sheet and space-dependent heating effects Save
- A novel Bvp4c-based data-driven intelligent artificial neural network approach for analyzing gyrotactic microorganisms in triple-stratified Prandtl nanofluids Save
- Magnetohydrodynamic stagnation point flow of Williamson hybrid nanofluid via stretching sheet in a porous medium with heat source and chemical reaction Save