Estimation of the amount of impurities from water and solids in aviation fuels from ISO codes.
An original mathematical approach was proposed based on the use of historical data for fuels to which known proportions of water or solid impurities had been added. The proportions of each of the two types of impurities were estimated using maximum likelihood methods.
The developed software was delivered, resulting in a publication in a scientific journal. This is a collaboration with the company PECOFacet Ibérica, part of the CLARCOR group.
Detection of failed areas on crankshafts using digital image analysis and supervised statistical classification methods
Partial least squares (PLS) and principal component analysis (PCA) methods were used to transform the original feature matrix. Then, multivariate supervised classification statistical methods were applied to the vector database to determine whether an area of a crankshaft is defective.
The developed software was delivered, resulting in a publication in a scientific journal. It is a collaboration with the company CIE Galfor.
Optimal allocation of samples to laboratory plates
The developed algorithm, simPCR, has been integrated into the NextLims laboratory software. This software automatically manages all the tasks related to Sanger and NGS sequencing techniques.
The software developed, which is the simPCR Library (library for optimising the filling of PCR plates in the Sanger sequencing process), was registered. It is a collaboration with the company Health in Code.
European Industrial Doctorate WEAKUPCALL
This is an industrial doctorate from the 2014 MCSA-ITN-EID call, developed in the period 2015-2018. The subject matter is in the field of computational finance. It is a collaboration between groups from the universities of Delft, Bologna and A Coruña, the CWI centre in Amsterdam and Dutch, Italian and Spanish companies. Two doctoral theses were supervised by the UDC in collaboration with Banco Santander and Analistas Financieros Internacionales.
European Industrial Doctorate ABC-EU-XVA
This is an industrial doctorate of the 2018 MCSA-ITN-EID call, developed in the period from November 2018 to October 2022. The subject matter is in the field of valuation adjustments for financial derivatives. It is a collaboration between groups from the universities of Delft, Free Brussels, Bologna and A Coruña, the CWI centre in Amsterdam and Dutch, Belgian, Italian and Spanish companies. Two doctoral theses have been developed at the UDC in collaboration with Unipol SAI and Rabobank/EY.