With a PhD in Polymer Engineering, I specialize in advanced corrosion‑protective polymer coatings, including smart/self‑healing systems, metal–organic framework (MOF)‑based coatings, and graphene‑reinforced nanocomposites. My work integrates materials design, surface engineering, and computational modeling, with recent focus on applying machine learning for coating performance prediction, failure analysis, and formulation optimization. I combine experimental expertise with data‑driven approaches to develop high‑performance, durable, and sustainable coating solutions for demanding environments.
Research impact: ranked Top 2% Scientist worldwide (Stanford/Elsevier, 2020–2025) and Top 1% Reviewer in Materials Science (Web of Science, 2019). I've supervised 70+ MSc/PhD/postdoc projects and reviewed 300+ manuscripts for 50+ journals.
IP & commercialization: 3 international patents (US, EP, WO). As part of Atlas Protecting Coating, I helped develop a UV-protective polyaniline-grafted graphene oxide coating for PVC cladding, later commercialized by Azaran Faza Nama under US Patent 11,873,418B2.
Industry experience: 3 years in R&D and production at Khosh Paint Manufacturing (automotive coatings); 6 years as R&D manager at Atlas Protecting Coating (industrial coatings).
Open to academic and industry opportunities in coatings R&D, corrosion protection, and materials informatics.
Keywords: Corrosion · Coatings · Silane · Graphene/Graphene Oxide · Metal-Organic Frameworks (MOF) · Layered Double Hydroxides (LDH) · Smart/Self-Healing Coatings · Machine Learning · Nanocomposites · UV-Resistant Coatings · Automotive & Industrial Coatings · Powder/Waterborne/High-Solid Coatings
