Notiziario Scientifico
a cura del Dipartimento di Matematica Guido Castelnuovo, Sapienza Università di Roma
Settimana dal 18-07-2022 al 24-07-2022
Martedì 19 luglio 2022
Ore 16:00, Biblioteca – Sala Ingegneria Geotecnica (III piano del chiostro), del Dipartimento di Ingegneria Strutturale e Geotecnica, Sapienza Università di Roma
Seminario di Modellazione computazionale di processi fisici
ALESSANDRO LUCANTONIO (BioRobotics Institute @ Scuola Sant’Anna (Pisa))
AI-based Learning for Physical Simulation
Computational physical modeling is a key resource to complement theoretical and experimental methods in modern scientific research and engineering. While access to large amount of data has favored the use of Artificial Intelligence and Machine Learning (ML) techniques to enhance physical simulations, limitations of purely data-driven methods have emerged as concerns their generalization capability and their intelligibility. To overcome these limitations, I propose a hybrid approach that originally combines ML methods and equation- based modeling to significantly improve generalization in small- data scenarios, while guaranteeing the intelligibility of the physical models through the use of symbolic representations. To efficiently handle the computational cost associated with the proposed methods, I will implement them in a new software platform that seamlesslyintegrates automated model learning and high-performance simulation. Thanks to their general-purpose nature, the methods and algorithms developed in this project may be employed in all scientific disciplines and in engineering workflows. In particular, I plan to use them to advance biology and soft robotics by solving challenging modeling tasks.
Per informazioni, rivolgersi a: paola.nardinocchi@uniroma1.it
Giovedì 21 luglio 2022
Ore 14:30, Online, Link, Istituto Superiore di Sanità
Seminario di Matematica Applicata
Ornella Moro (Dipartimento Guido Castelnuovo, Istituto Superiore di Sanità (Dip. SANV))
A One Health road to quantitative risk assessment in food safety: the example of Hepatitis E and STEC
Foodborne pathogens represent a complex and multifaceted issue to human, animal and environmental health. Mathematical methods and One Health approach are powerful allies to gain knowledge and address policies and actions to reduce and control foodborne pathogen circulation.
In this meeting different approaches will be presented to face two different zoonotic pathogens: Hepatitis E virus (HEV) and Shiga toxin-producing E.coli (STEC). The main goal was to produce estimations to help targeting intervention strategies in livestock and in food production chain.
Per informazioni, rivolgersi a: ornella.moro@gmail.com
Le comunicazioni relative a seminari da includere in questo notiziario devono pervenire esclusivamente
mediante apposita form da compilare online, entro le ore 24 del giovedì precedente la settimana
interessata. Le comunicazioni pervenute in ritardo saranno ignorate.
Per informazioni, rivolgersi all'indirizzo di posta elettronica
seminari@mat.uniroma1.it.
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