Dr. Mohammad Afikuzzaman | Mathematics | Best Faculty Award
Adelaide University | Australia
Dr. Mohammad Afikuzzaman’s research profile reflects a strong and sustained contribution to applied mathematical modeling and computational simulations, with particular emphasis on fluid mechanics, magnetohydrodynamics, nanofluids, heat and mass transfer, and multicomponent alloy diffusion. The scholarly output includes 18 indexed documents with 318 citations and an h-index of 11, alongside broader visibility on Google Scholar reporting 431 total citations and an h-index of 12 (August 2025). The body of work comprises 22 peer-reviewed journal articles, 7 international conference presentations (oral and poster), and 4 book chapters/books, with an additional 6 manuscripts currently under review. Research contributions demonstrate methodological rigor, advanced numerical and theoretical modeling, and practical relevance, supported by extensive collaboration with industry, government, and academic partners to promote innovation and interdisciplinary engagement. Publications appear in high-impact journals such as Scripta Materialia, Journal of Phase Equilibria and Diffusion, Nanoscale Advances, Journal of Molecular Liquids, and Arabian Journal for Science and Engineering, highlighting both depth and breadth of scientific influence.
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Featured Publications
Artificial neural network-assisted modeling of electroosmotic heat transfer in radiative ternary hybrid nanofluid with gyrotactic microorganisms
– Journal of Thermal Analysis and Calorimetry, 2025
Modelling and theoretical overview of Casson fluid flow through a stretching sheet with variable viscosity and sinusoidal boundary conditions
– International Journal of Ambient Energy, 2025
Neural network-based computational evaluation of periodic electroosmotic flow in ternary nanofluids with oxytactic microbes
– Journal of Molecular Liquids, 2025
Computational analysis of magnetized bio-convective partially ionized flow of second-order fluid with Cattaneo–Christov theory
– Journal of Computational Design and Engineering, 2024