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Ferrari is senior research scientist at CNR-ISTI (Consiglio Nazionale delle Ricerche - Istituto di Scienza e Tecnologia dell’Informazione “A. Faedo”, Pisa, Italy - http://www.isti.cnr.it), where he worked as post-doc researcher and temporary research scientist since 2011.
He received his Ph. D. in Computer Engineering from the University of Florence, Italy, in 2011. During the Ph. D., he worked as system engineer at General Electric Transportation Systems (GETS) s.p.a., a world leading railway signalling company.
His primary research interests are: applications of natural language processing (NLP) techniques to requirements engineering (RE); user and customer interviews in RE; RE education and training; empirical formal methods and empirical software engineering.
He is part of the EU DESIRA project on sustainability, and the EU 4SECURail project on formal methods for railways. I have recently been WP leader of the European Project ASTRail, funded by the Shift2Rail Programme, and I participated in other EU projects, such as Learn PAd, about business process models applied to public administration procedures.
He serves in the PC of ICSE (2020 and 2022), IEEE RE, REFSQ, AIRE, is one of the organisers of the NLP4RE workshop, and has been local organiser of REFSQ 2020.
Youtube Channel for Empirical Software Engineering Lectures: https://www.youtube.com/channel/UCRkzTBKKZiS23fxz1LIP45Q
SlideShare Page for slides: https://www2.slideshare.net/alessio_ferrari/presentations
ResearchGate for preprints: https://www.researchgate.net/profile/Alessio_Ferrari2
Follow him at https://twitter.com/alessferra
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