Uncertainty Quantification Lab
Main areas of research:
1) Data Analytics under Uncertainty/Uncertainty Quantification
2) Design for Additive Manufacturing
PRESENT MAJOR RESEARCH SPONSORS:
BHGE, UK-Italy
Rolls-Royce, UK
General Electric, Energy, USA-Italy
Guest Lectures
Towards Digital Design of Turbomachinery, Fluid Mechanics Seminar, Stanford University, Stanford, US, 2021
Uncertainty Quantification in Aviation, Using Non-Intrusive Polynomial Chaos Methods, Warwick Centre for Predictive Modelling, 2018
Uncertainty Quantification and Blades, CFMS, Bristol, 2016
UQM and Formula 1, ERCOFTAC, EDF Paris, 2015
Geometrical Uncertainty, Rare Events and CFD, IUSTI, Aix-Marseille University, Marseille, 2015
Uncertainty quantification and computational fluid dynamics in aircraft engines, University of Sussex, Mathematical MASS Seminar, 2014
Geometrical Uncertainty, Rare Events and CFD, University of Florence, Italy, 2014
Black Swans and Hot Gas Ingestion, Rolls-Royce, Derby, 2013
Impact of Rare Events in Gas Turbines: the Black Swan, Rolls-Royce, 2013
UQ and Film Cooling, Rolls-Royce, ADOS, Optimization, 2012
The four quadrants of knowledge in CFD, Rolls-Royce, CFD Annual Review, 2012
Uncertainties and Gas Turbines: a Stochastic Method, Rolls-Royce, Global High Spot, 2012
Uncertainty Quantification and Heat Transfer, General Electric Oil&Gas, Florence, 2012
CFD in Automotive Industry: Real Life and Geometrical Approximations, AIC Automotive Intelligence Center, Spain, 2011
Aircraft Engines Cutting Edge Research: What Next?, Politecnico di Bari, 2011