About
Mohammad Mahdavian received his Ph.D. from Amirkabir University of Technology (formerly Polytechnic University of Tehran), Iran, in 2009. He then worked as an academic faculty member at the Institute for Color Science and Technology until 2011. Then, for a period of 2.5 years, he worked as a faculty member at Sahand University, Tabriz, Iran. He is currently working as a professor in the Institute for Color Science and Technology, Tehran, Iran. His primary research interests include corrosion, coatings, surface modification, carbon allotropes, nanomaterials, simulation, prediction, optimization, machine learning, and artificial intelligence.
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Key Publications
Enhanced ice-phobic properties, harnessing a moisture-cure castor oil-derived silanized polyurethane coating
Journal of Industrial and Engineering Chemistry, Aug 2025
Ce-MOF nanorods/aluminum hydroxide (AlTH) synergism effect on the fire-retardancy/smoke-release and thermo-mechanical properties of a novel thermoplastic acrylic intumescent composite coating
Chemical Engineering Journal, Jan 2022
Unlocking the potential of FTIR for corrosion inhibition prediction exploiting principal component analysis: Machine learning for QSPR modeling
Journal of the Taiwan Institute of Chemical Engineers, Apr 2025
Corrosion protective and antibacterial epoxy coating via benzyldisulfide‑sulfur-doped graphene oxide with machine-learning simulation support
Progress in Organic Coatings, Sep 2024
Developing an innovative hydrophobic/breathable functionalized graphene-based coating for controlling the chloride-induced corrosion of rebar in concrete structures
Construction and Building Materials, Apr 2025