Fabio Domenici | Materials Science | Research Excellance Award

Assoc. Prof. Dr. Fabio Domenici | Materials Science | Research Excellance Award

Professor | The University of  Università degli Studi di Roma “Tor Vergata” | Italy

Assoc. Prof. Dr. Fabio Domenici is a researcher in physical chemistry and biophysics with expertise in ultrasound–matter interactions, biomimetic membranes, and functional polymer systems for biomedical applications. His scientific work centers on the design and characterization of polymer- and lipid-shelled ultrasound contrast agents, phase-change droplets for theranostics and radiation dosimetry, and responsive nanocarriers for targeted drug delivery. He also investigates nano-biosensing platforms based on plasmonic nanoparticles and aptamer-functionalized polymer interfaces, as well as thermo-lyotropic surfactant assemblies interacting with DNA and antimicrobial peptides. His research integrates advanced spectroscopic, imaging, and modeling approaches to address challenges in diagnostics, therapy, and translational nanomedicine. He has authored 80 scientific documents, receiving 1,148 citations, with an h-index of 20, demonstrating sustained impact across biophysics, polymer science, and nanotechnology.

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Featured Publications

 

Snežana Đurković | Materials Science | Best Scholar Award

Ms. Snežana Đurković | Materials Science | Best Scholar Award

Junior Research Assistant | The University of Institute for Nuclear Sciences Vinča | Serbia

Snežana Đurković is a researcher in applied physics and informatics with expertise in optical materials, luminescence spectroscopy, and data-driven materials science. Her research focuses on the investigation of luminescent phosphors activated by transition metal ions, combining experimental spectroscopy with supervised machine learning and physics-informed artificial intelligence approaches. She studies structure property relationships governing emission behavior, energy transfer mechanisms, and thermal stability relevant to optical sensing and solid-state lighting applications. Her work aims to enhance predictive modeling of luminescence properties to accelerate materials design and optimization. Scientific interests include optical characterization techniques, radiation–matter interactions, AI-assisted analysis of spectroscopic data, and the development of functional materials for sensors, photonic devices, and LED technologies.