Bracconi Mauro
Mauro Bracconi, born in 1990, is a Researcher (RTDb) in Chemical Engineering at the Politecnico di Milano, Italy. He graduated with honors in Chemical Engineering in 2014 and obtained his PhD in Chemical Engineering and Industrial Chemistry in 2018. Mauro’s career has been enriched by international experiences, including being a visiting scholar at the University of Manchester, UK (2017), and at the University of Delaware, USA (June 2019), as well as being recipient the IDEA League Exchange Fellowship at Delft University of Technology, Netherlands (2023-2024). His research activity focuses on the analysis and development of catalytic processes and chemical reactors using multiscale modeling techniques. His work focuses on the development of advanced simulation methodologies using a combined approach of computational fluid dynamics and first-principles kinetics, as well as employing machine learning techniques for building surrogate models. He is responsible and co-responsible for competitive funding, including a PRIN, as well as several industrial collaborations.
Education
Master of Science in Chemical Engineering, Politecnico di Milano, 2014
PhD in Chemical Engineering and Industrial Chemistry, Politecnico di Milano, 2018
RESEARCH GROUP
Phone
+39 02 2399 8687
Scientific-Disciplinary Sector
Chemical Technologies – ICHI-02/B
Mauro Bracconi, born in 1990, is a Researcher (RTDb) in Chemical Engineering at the Politecnico di Milano, Italy. He graduated with honors in Chemical Engineering in 2014 and obtained his PhD in Chemical Engineering and Industrial Chemistry in 2018. Mauro’s career has been enriched by international experiences, including being a visiting scholar at the University of Manchester, UK (2017), and at the University of Delaware, USA (June 2019), as well as being recipient the IDEA League Exchange Fellowship at Delft University of Technology, Netherlands (2023-2024). His research activity focuses on the analysis and development of catalytic processes and chemical reactors using multiscale modeling techniques. His work focuses on the development of advanced simulation methodologies using a combined approach of computational fluid dynamics and first-principles kinetics, as well as employing machine learning techniques for building surrogate models. He is responsible and co-responsible for competitive funding, including a PRIN, as well as several industrial collaborations.
Education
Master of Science in Chemical Engineering, Politecnico di Milano, 2014
PhD in Chemical Engineering and Industrial Chemistry, Politecnico di Milano, 2018
RESEARCH GROUP
Bracconi Mauro
Phone
+39 02 2399 8687
Scientific-Disciplinary Sector
Chemical Technologies – ICHI-02/B
