Projects list

Here below you can find the list of our projects.

SOPHYA (Seakeeping Of Planing Hull YAchts) - POR FESR

SISSA, è Partner del progetto SOPHYA (Seakeeping Of Planing Hull YAchts) che, come progetto di ricerca e sviluppo nell’ambito delle Tecnologie Marittime, è cofinanziato dal Fondo Europeo per lo Sviluppo Regionale. Le attività del progetto rientrano, infatti, in una delle priorità del Programma Operativo Regionale, Obiettivo «Investimenti a favore della crescita e dell’occupazione» 2014-2020 ovvero l’Asse 1 – “Rafforzare la ricerca, lo sviluppo tecnologico e l’innovazione”, Azione 1.3 – “Sostegno alle attività collaborative di R&S per lo sviluppo di nuove tecnologie sostenibili, di nuovi prodotti e servizi”

INDAM-GNCS 2017: Advanced numerical methods combined with computational reduction techniques for parameterised PDEs and applications

Introduction: The objective of this project is to design and analyse innovative numerical methods for the approximation of partial differential equations (PDEs) in computational science and engineering. The increasing complexity of realistic models and the evolution of computational platforms and architectures are challenging the numerical analysis community to develop more efficient, effective, and innovative methods.

PRIN Mathematical and Numerical Modelling of the Cardiovascular System, and their clinical applications 2015-2016

This project deals with the mathematical and numerical modeling of the cardiovascular system. Though inspired by concrete applications in medicine and bioengineering, it focuses mainly on the methodological aspects. Indeed, despite the impressive advancements of the last 20 years in the development of mathematical models for the cardiovascular system, there is still a strong need of improving these tools to make them more reliable, accurate, efficient and capable of treating the complexity of real life problems of medical relevance.


This project is in strict partnership with CNR-INSEAN, the Italian marine experimental basin, located in Rome in the framework of the technical cluster Trasporti 2020.

It deals with the development of advanced numerical methods for the simulation, optimization and control of complex systems related with CFD.

The range of methodologies under development goes from iso-geometrical techniques to reduced order methods, as well as parameter space studies for complex problems.

Tecniche di riduzione della complessità computazionale per le scienze applicate 2016

Partners:  SISSA, Politecnico di Milano, University of Pavia. Coordinator: Prof. Gianluigi Rozza

Development of computational reduction methods for the simulation of problems arising in applied sciences.

People involed at SISSA: Prof. Gianluigi Rozza, Dr. Andrea Mola, Mr. Shafqat Ali, Mr. Giovanni Corsi, Mr. Filippo Salmoiraghi, Mr. Marco Tezzele.

Other scientists involved: Prof. Simona Perotto, Prof. Alessandro Reali, Dr. Simone Morganti, Mr. Nicola Ferro.

Computational Reduction Strategies for CFD and Fluid-Structure Interaction problems 2015

Partners:  SISSA, Politecnico di Torino, University of Pavia and University of Brescia. Coordinator: Prof. Gianluigi Rozza

Development of computational reduction methods for the simulation, optimization and control of complex systems in CFD and coupled problems (eg Fluid-Structure Interaction Problems).

People involed at SISSA: Prof. Gianluigi Rozza, Dr Luca Heltai, Dr Francesco Ballarin, Dr Nicola Cavallini,  Mr Giuseppe Pitton, Mr Giovanni Corsi, Mr Filippo Salmoiraghi.

Underwater Blue Efficiency - UBE

The project investigates digital simulation methods for the state of exhaust emission particles, from the engine to detachment from the hull, and then tries different geometries and virtual hydro-aerodynamic appendices and, finally, define the optimal geometries for the exhaust manifold for the purposes of hydrodynamic and environmental emissions efficiency. The expected results are:
• an innovative configuration of the exhaust manifold
• high-fidelity and simplified methods for the prediction of its performance.