In this second part, the reduced representations are used to derive reduced-order models, in combination to typical ML-based tasks such as classification and regression. Examples of applications of these ROM are provided in the context of Large Eddy Simulations of turbulent reacting flows, as well as for the development of digital twins of combustion assets.
10/09/2020
BIO
Alessandro Parente got his Master Degree in Chemical Engineering at the Università di Pisa in 2005. He then carried out a PhD at the same University in collaboration with the University of Utah, where he served as Research Associate from November 2007 to December 2009. In April 2009, Dr. Parente started working at the von Karman Institute of Fluid Dynamics. In October 2010, he was appointed Assistant Professor at the Aero-Thermo-Mechanical Department of Université Libre de Bruxelles. Since 2019, he is Professor at the same Institution. In January 2015, Dr. Parente founded the BURN joint research group on combustion and robust optimization, involving 7 full time professors and around 40 researchers. The research interests of Dr. Parente are in the field of turbulent/chemistry interaction in turbulent combustion and reduced-order models, non-conventional fuels and pollutant formation in combustion systems, novel combustion technologies, numerical simulation of atmospheric boundary layer flows, and validation and uncertainty quantification. He is author and co-author of more than 70 papers on International Archival Journals.