Snežana Đurković is an early-career physicist specializing in applied physics, optical materials, and physics-informed artificial intelligence. Her research focuses on luminescence mechanisms in transition-metal-activated inorganic phosphors, integrating supervised machine-learning techniques to predict optical properties for sensor and LED applications. Working within the Optical Materials and Spectroscopy (OMAS) research framework, she bridges experimental spectroscopy with data-driven modeling to enhance material performance understanding. Her emerging scholarly output is indexed across Google Scholar and Scopus, reflecting a developing citation record and h-index characteristic of a growing doctoral research portfolio. Her work demonstrates strong potential for impactful contributions to smart photonic materials and AI-assisted materials science.