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Mr. Stephen Uma-Oji specializes in computational materials and membrane science, focusing on graphene-based nanocomposites and polymers. He uses molecular dynamics simulations (LAMMPS) and machine learning to design membranes for water desalination, wastewater treatment, gas separation, and heavy metal/PFAS removal. His research evaluates key performance metrics, including adsorption energy, water flux, fouling index, and solute rejection, combining simulation with predictive modeling. Dr. Uma-Oji has co-authored publications in leading journals, advancing ML-guided membrane design, and mentors undergraduate researchers in computational and experimental workflows.