Recent updates

April 6, 2021

• The final version of the book of abstracts (with ISBN) is now available below

October 5, 2020

• Links to the recordings of the talks will be provided as soon as possible

Motivation of the workshop

The predictive capabilities of mathematical models (widely used today in engineering, environmental, medical and economical sciences) is strictly connected to how accurate our knowledge of the parameters of such models is. These parameters are however often affected by a large degree of uncertainty, due to a number of reasons, such as measurement errors (or the impracticability of an exhaustive experimental campaign), limited knowledge of the phenomenon under study, or intrinsic randomness of the parameters. The parameters can therefore be described as random variables/fields, and the goal of uncertainty quantification analyses (UQ) is to assess the impact of such uncertainties on the solutions of the mathematical models. Other related problems are optimization under uncertainty, inverse problems and optimal design of experiments.

Uncertainty Quantification is therefore a highly interdisciplinary field, that combines aspects of numerical analysis, scientific computing, mathematical modeling and probability/statistics. Its practical applicability is also significantly connected to the availability of high-performance computing hardware. The aim of this workshop is to discuss the modeling and numerical/methodological aspects of Uncertainty Quantification, and to compare the experiences in this field among DIITET researchers, which are active in a broad spectrum of scientific areas. Some internationally recognized experts will also participate to the workshop, to deliver keynotes on selected topics of interest.

Keynote speakers

• Carlo Combi (Università degli Studi di Verona) - Managing temporal uncertainty in healthcare data and processes

• Alberto Guadagnini (Politecnico di Milano) - Environmental footprint and risk assessment of shale gas operations

• Domenico Quagliarella (Centro Italiano Ricerche Aerospaziali - CIRA) - Efficient use of risk measures in optimization under uncertainty for aerodynamic shape design

Organizers

• Matteo Diez, CNR-INM

• Cecilia Leotardi, CNR-INM

• Andrea Scagliarini, CNR-IAC

• Lorenzo Tamellini, CNR-IMATI

• Gabriella Tognola, CNR-IEIIT

Deadlines and dates

• Registration (free of charge): September 28 (link)

• Workshop: October 2 (a link will be made available to registered participants by email)

Program

October 2, 2020 (09:00 - 17:10 CEST time zone - Rome, Paris, Berlin). The program is available at this link.

Registration

Registration is open and free of charge, please register here by September 28. Participants will receive an email with a link to join the online workshop via GoToMeeting.

Language

The official language of the workshop is English, to favor participation of non-Italian-speaking colleagues, and to promote dissemination of the activities.

Online conference information

We will use the GoToMeeting online conferencing system. A link will be made available to all registered participants by email. You can join by downloading the software/app, or by browser (this option is available for Windows/Mac/Linux OS - check compatibility of your browser)

Book of abstracts

The final version of the book of abstracts is available at this link.

ISBN: 978-88-7617-050-8

Publisher: National Research Council of Italy, Institute of Marine Engineering (CNR-INM), www.inm.cnr.it

Editors: Matteo Diez, Cecilia Leotardi, Andrea Scagliarini, Lorenzo Tamellini, Gabriella Tognola

Publishing date: April 1, 2021