Angelo Riccio is an Associate Professor of Earth System Physics in the Department of Science and Technology at the Parthenope University of Naples, Italy. His research focuses on atmospheric physics and chemistry, air quality modelling, and the chemical characterization of atmospheric particulate matter. He has extensive experience in numerical modelling of atmospheric transport and dispersion, source apportionment, inverse analysis, and advanced statistical methods for environmental applications. His current research also explores the integration of physically based atmospheric models with artificial intelligence and machine learning techniques to improve air pollution forecasting and assess the environmental impacts of emission sources. He has contributed to several national and international research projects and serves on the Editorial Board of the MDPI journal Air.
Angelo Riccio is an Associate Professor of Earth System Physics in the Department of Science and Technology at the Parthenope University of Naples, Italy. His research focuses on atmospheric physics and chemistry, air quality modelling, and the chemical characterization of atmospheric particulate matter. He has extensive experience in numerical modelling of atmospheric transport and dispersion, source apportionment, inverse analysis, and advanced statistical methods for environmental applications. His current research also explores the integration of physically based atmospheric models with artificial intelligence and machine learning techniques to improve air pollution forecasting and assess the environmental impacts of emission sources. He has contributed to several national and international research projects and serves on the Editorial Board of the MDPI journal Air.