Federico Galvanin

About Federico Galvanin

Federico Galvanin, With an exceptional h-index of 19 and a recent h-index of 15 (since 2020), a distinguished researcher at University College London, specializes in the field of Process Systems Engineering, Design of Experiments, Model Identification, Modelling of Physiological Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimal design of infusion tests for the identification of physiological models of acquired von Willebrand syndrome

Mechanistic modelling of separating dispersions in pipes using model-based design of experiments techniques

Automated kinetic model identification via cloud services using model-based design of experiments

An Autonomous Microreactor Platform for the Rapid Identification of Kinetic Models for Fast Liquid/Liquid Reactions

Development of autonomous platforms for kinetic model identification

A new approach to targeting drilling locations: quantifying geological knowledge in drilling campaigns using model-based design of experiments approaches

Development of a predictive response surface model for size of silver nanoparticles synthesized in a T-junction microfluidic device

An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty

Federico Galvanin Information

University

Position

Associate Professor of Chemical Engineering

Citations(all)

1138

Citations(since 2020)

695

Cited By

731

hIndex(all)

19

hIndex(since 2020)

15

i10Index(all)

25

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Federico Galvanin Skills & Research Interests

Process Systems Engineering

Design of Experiments

Model Identification

Modelling of Physiological Systems

Top articles of Federico Galvanin

Optimal design of infusion tests for the identification of physiological models of acquired von Willebrand syndrome

Chemical Engineering Science

2024/3/15

Mechanistic modelling of separating dispersions in pipes using model-based design of experiments techniques

Chemical Engineering Science

2024/2/5

Federico Galvanin
Federico Galvanin

H-Index: 13

Panagiota Angeli
Panagiota Angeli

H-Index: 31

Automated kinetic model identification via cloud services using model-based design of experiments

Reaction Chemistry & Engineering

2024

An Autonomous Microreactor Platform for the Rapid Identification of Kinetic Models for Fast Liquid/Liquid Reactions

Reaction Chemistry & Engineering

2019

Development of autonomous platforms for kinetic model identification

2023/9/27

Federico Galvanin
Federico Galvanin

H-Index: 13

A new approach to targeting drilling locations: quantifying geological knowledge in drilling campaigns using model-based design of experiments approaches

2023/9/5

Federico Galvanin
Federico Galvanin

H-Index: 13

Development of a predictive response surface model for size of silver nanoparticles synthesized in a T-junction microfluidic device

Chemical Engineering Science

2023/9/5

Federico Galvanin
Federico Galvanin

H-Index: 13

An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty

Computers & Chemical Engineering

2023/9/1

A joint model-based design of experiments approach for the identification of Gaussian Process models in geological exploration

2023

On the development and application of a general model identification framework to biological systems

2023/6/23

Federico Galvanin
Federico Galvanin

H-Index: 13

Optimization of a PID Controller within a Dynamic Model of a Steam Rankine Cycle with Coupled Energy Storage

Chemical Engineering Transactions

2023/5/30

Federico Galvanin
Federico Galvanin

H-Index: 13

Mohamad Abdallah
Mohamad Abdallah

H-Index: 1

An optimal experimental design strategy for improving parameter estimation in stochastic models

Computers & Chemical Engineering

2023/2/1

Federico Galvanin
Federico Galvanin

H-Index: 13

Effect of coalescence models on the prediction of the separation of dispersed oil-water pipe flows

2023/1/1

Federico Galvanin
Federico Galvanin

H-Index: 13

Panagiota Angeli
Panagiota Angeli

H-Index: 31

Lumped-Parameter Heat Exchanger Models for the Robust Dynamic Modelling of Power Generation Cycles

2023/1/1

Federico Galvanin
Federico Galvanin

H-Index: 13

Mohamad Abdallah
Mohamad Abdallah

H-Index: 1

Autonomous kinetic model identification using optimal experimental design and retrospective data analysis: methane complete oxidation as a case study

Reaction Chemistry & Engineering

2023

Arun Pankajakshan
Arun Pankajakshan

H-Index: 5

Federico Galvanin
Federico Galvanin

H-Index: 13

An optimization-free Fisher information driven approach for online design of experiment

2023/1/1

Federico Galvanin
Federico Galvanin

H-Index: 13

An exploratory model-based design of experiments technique to aid parameters identification and reduce prediction uncertainty

2023/1/1

Development of a holistic Python package for optimal selection of experimental design criteria in kinetic model discrimination

2023/1/1

Federico Galvanin
Federico Galvanin

H-Index: 13

Acquired von Willebrand syndrome in patients with monoclonal gammopathy of undetermined significance investigated using a mechanistic approach

Blood Transfusion

2023/1

Federico Galvanin
Federico Galvanin

H-Index: 13

On the effect of parametric uncertainty in Gaussian Processes applied to geostatistical estimation: an in-silico case study

2022/12/1

Federico Galvanin
Federico Galvanin

H-Index: 13

See List of Professors in Federico Galvanin University(University College London)

Co-Authors

academic-engine