Sergio Pezzulli

Sergio Pezzulli serves as a Researcher in the Department of Methods and Models for Economy, Territory, and Finance at Sapienza University of Rome, where his work bridges statistical theory with practical applications across multiple disciplines.

His research focuses on advanced statistical methodologies including kernel density estimation for economic modeling, longitudinal data analysis for medical sciences, and innovative quality assessment frameworks for multimedia systems. He develops parametric and nonparametric techniques that address complex real-world data challenges in finance, healthcare, and telecommunications.

Recent publications demonstrate consistent contributions to statistical theory with practical implementations, particularly in high-order kernel methods and multimedia quality scoring beyond traditional MOS approaches. His work shows strong interdisciplinary connections between econometrics, biostatistics, and multimedia engineering.

Scientific Awards: No awards or fellowships mentioned in available sources.

Advising and Grants: No information available regarding graduate students, research grants, or funded projects.

Labs and Teams: No specific laboratory affiliations or research team memberships documented in current institutional records.