ROSSELLA BERNI

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Full Professor

University of Florence

Italy

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About

Rossella Berni is a Full Professor at the University of Florence, Italy. Her research focuses on optimal design methodologies, reliability modeling, and integrated approaches in engineering and environmental studies, as evidenced by her recent contributions to the fields of choice experiments, medical imaging, and manufacturing processes. Professor Berni's work also includes advancements in statistical engineering for Industry 4.0 and ecological assessments in forest ecosystems.

Recent Grants

Grant: Open

E3DM - Experimental Design and Maintenance, a Decision-Making approach driven by Degradation Models

Open Date: 2025-02-01

Close Date: 2027-02-01

Articles (9)

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2024

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2024

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2022

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2022

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2021

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2021

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2021

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2020

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2020

Collaborators (3)

Nedka D. Nikiforova

ITALY

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Alessandro Magrini

Assistant Professor of Economic Statistics

Università degli Studi di Napoli Federico II

ITALY

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Federico M. Stefanini

Associate Professor of Statistics

University of Milan

ITALY

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ROSSELLA BERNI

Research Interests

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Contact this professor

About

Recent Grants

Articles (9)

An Optimal Design through a Compound Criterion for Integrating Extra Preference Information in a Choice Experiment: A Case Study on Moka Ground Coffee

Reliability with multiple causes of failures: Modeling and practice through a case study on ultrasound probes for medical imaging

Hierarchical optimal designs and modeling for engineering: A case‐study in the rail sector

Optimal approximate choice designs for a two‐step coffee choice, taste and choice again experiment

Foreword to the Special Issue on “Statistics, Statistical Engineering, and Innovation for Industry 4.0”

Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains

A Guideline for Implementing a Robust Optimization of a Complex Multi-Stage Manufacturing Process

Accounting for soil respiration variability – Case study in a Mediterranean pine-dominated forest

An integrated approach to estimate brand association matching and strength in virtual settings

Collaborators (3)

Nedka D. Nikiforova

Alessandro Magrini

Federico M. Stefanini

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