Carlo Poloni

About Carlo Poloni

Carlo Poloni, With an exceptional h-index of 22 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Trieste, specializes in the field of optimization.

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

A BPMN model for rail port operations to evaluate potential capacity increase

Managerial decisions to recover from Covid-19 disruption: A multi-objective optimization approach applied to public transport operators

Operative protocol for testing the efficacy of nasal filters in preventing airborne transmission of SARS-CoV-2

An Integrated Methodology for the Multi-Objective Optimization of Port Railway Capacity: The Case Study of the Port of Trieste

Multi-fidelity design optimisation strategy under uncertainty with limited computational budget

Integration of BPMN modeling and multi-actor AHP-aided evaluation to improve port rail operations

Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi-fidelity Gaussian process regression

Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty Using Far-Field Drag Approximation

Carlo Poloni Information

University

Position

Professore presidente ESTECO

Citations(all)

2956

Citations(since 2020)

832

Cited By

2532

hIndex(all)

22

hIndex(since 2020)

11

i10Index(all)

40

i10Index(since 2020)

15

Email

University Profile Page

Google Scholar

Carlo Poloni Skills & Research Interests

optimization

Top articles of Carlo Poloni

A BPMN model for rail port operations to evaluate potential capacity increase

2023/6/5

Carlo Poloni
Carlo Poloni

H-Index: 12

Managerial decisions to recover from Covid-19 disruption: A multi-objective optimization approach applied to public transport operators

Transportation Engineering

2023/3/1

Carlo Poloni
Carlo Poloni

H-Index: 12

Operative protocol for testing the efficacy of nasal filters in preventing airborne transmission of SARS-CoV-2

International Journal of Environmental Research and Public Health

2022/10/23

An Integrated Methodology for the Multi-Objective Optimization of Port Railway Capacity: The Case Study of the Port of Trieste

Sustainability

2021/9/22

Carlo Poloni
Carlo Poloni

H-Index: 12

Multi-fidelity design optimisation strategy under uncertainty with limited computational budget

Optimization and Engineering

2021/6

Lucia Parussini
Lucia Parussini

H-Index: 6

Carlo Poloni
Carlo Poloni

H-Index: 12

Integration of BPMN modeling and multi-actor AHP-aided evaluation to improve port rail operations

Transportation Research Procedia

2021/1/1

Carlo Poloni
Carlo Poloni

H-Index: 12

Multi-objective design optimisation of an airfoil with geometrical uncertainties leveraging multi-fidelity Gaussian process regression

2020/11/17

Lucia Parussini
Lucia Parussini

H-Index: 6

Carlo Poloni
Carlo Poloni

H-Index: 12

Multi-fidelity Surrogate Assisted Design Optimisation of an Airfoil under Uncertainty Using Far-Field Drag Approximation

2020/11/17

Lucia Parussini
Lucia Parussini

H-Index: 6

Carlo Poloni
Carlo Poloni

H-Index: 12

Response surface methodology

2010/3

Multi-fidelity Gaussian Process Regression for Propeller Optimisation Under Uncertainty Poster

2020

Lucia Parussini
Lucia Parussini

H-Index: 6

Carlo Poloni
Carlo Poloni

H-Index: 12

Digital Technologies for Transport and Mobility: Challenges, Trends and Perspectives

2020

A New Multi-objective Solution Approach Using ModeFRONTIER and OpenTrack for Energy-Efficient Train Timetabling Problem

Computation and Big Data for Transport: Digital Innovations in Surface and Air Transport Systems

2020

Carlo Poloni
Carlo Poloni

H-Index: 12

See List of Professors in Carlo Poloni University(Università degli Studi di Trieste)