University of Management and Technology | Pakistan
Irfan Saif ud Din is a dedicated mathematics lecturer, researcher, and educator with strong expertise in applied mathematics, fluid dynamics, and computational modeling. He is currently pursuing a PhD in Mathematics while contributing actively as a research assistant and lecturer. His academic background includes an MPhil in Mathematics, where his thesis focused on computational analysis of nanofluid behavior, bioconvection, and slip effects. He has extensive teaching experience across secondary and higher education institutions, demonstrating excellence in delivering mathematical and scientific concepts. Proficient in tools such as MATLAB, Python, and TeXstudio, he integrates computational techniques into research and teaching. His publications in reputed journals highlight his work on nanofluids, thermal systems, and artificial neural networks, reflecting his commitment to advancing mathematical research and interdisciplinary innovation.
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Featured Publications
ANN-based analysis of thin film Maxwell fluid dynamics with electro-osmotic and nonlinear thermal effects
– Alexandria Engineering Journal
Nano-bio-film flow of Williamson fluid due to a non-linearly extending/contracting surface with non-uniform physical properties
– Waves in Random and Complex Media
On prescribed thermal distributions of bioconvection Williamson nanofluid transportion due to an extending sheet with non-Fourier flux and radiation
– Waves in Random and Complex Media
Heuristic physics-informed neural network model for simulating melting-induced thin film flow of cross-fluid with industrial waste and electroosmosis effects
– Engineering Applications of Artificial Intelligence
Melting rheology of Prandtl Eyring hybrid nanofluid flow with slip condition past a Riga Wedge through Darcy-Forchheimer medium
– Case Studies in Thermal Engineering