معرفی
Giuseppe De Luca is a Research Fellow at the Department of Physics and Chemistry - Emilio Segrè, University of Palermo. His work spans interdisciplinary domains including theoretical physics, biophysics, machine learning, and social dynamics.
- Research Themes: Model averaging techniques, liquid-liquid phase separation, quantum complexity, holography, and social exclusion effects in education.
- Methodologies: Bayesian inference, multiscale analysis, and machine learning optimization.
Recent publications focus on weighted-average least squares estimation, structural degradation in biomaterials, and virtual reality applications in psychological research. He contributes to the SHARE project with statistical expertise in survey weighting and imputation strategies.
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