FASSO' Alessandro

Alessandro Fassò, 54, is full professor of Statistics from 2000, head of the Department of Information Technology and Mathematical Methods at the Bergamo University and member of the Academic Senate. He has been serving Bergamo University as associate professor since 1998. Before that, he has been researcher of Statistics at the Catholic University of Milan since 1987.

MEMBERSHIP
He is elected member of the International Statistical Institute (ISI), member and past Secretary of The International Environmetrics Society (TIES), member of the Italian Statistical Society (SIS), cofounder and member of the Italian research group on environmental statistics GRASPA. Moreover, he is Member of the Working Group on Atmospheric Reference Observations of the GCOS-GRUAN.

EDITORSHIP
He is Associate Editor of Advances in Statistical Analysis (AStA) and Member of the Scientific Committee of Statistica e Applicazioni (S&A). He has been Guest Editor of Environmetrics and Advances in Statistical Analysis (AStA).

ORGANIZATIONAL ACTIVITIES
He is member board of PhD program in Statistics and Applications at University of Milano Bicocca and the PhD program in Mechatronics, Information, New technologies and Mathematical Methods at University of Bergamo.

RESEARCH INTERESTS
He is Author of more than eighty papers mainly on statistical methods and applications to environmetrics, sensitivity analysis of environmental models, environmental time-series, spatio-temporal data, stochastic monitoring, industrial statistics and structural and geotechnical surveillance, quality control and financial time series analysis.
In particular, A. Fassò contributed to air and water quality monitoring and understanding. Considering air quality monitoring, he discussed air quality indexes in the frame of heterogenous and unbalanced monitoring networks. Moreover he developed spatio-temporal models for particulate matters based on ground level heterogeneous monitoring networks, computer outputs and satellite data, developing methods for statistical dynamic mapping, risk assessment and human exposure, uncertainty included.
His approach allows for multiple pollutants, observed in different places and with different spatial scale, with a large number of “structural missing data”. The approach covers data from single regional areas to large dataset at the European level.
He proposed some nonlinear models for Ozone time series, discussed monitoring of nuclear plumes and methods for extreme air pollution.
Considering water problems he contributed to simulation, uncertainty and sensitivity analysis for waste water, recreational water and catchment temporary dry up.




RECENT RELEVANT PROJECTS

Period: 2011-2012
Principal investigator: A. Fassò
Funding: Regione Lombardia
Project: AQ2009-EN17
Subject: Methods for the integration of renewable energy sources and satellite monitoring of the environmental impact
WEB: http://wwwdata.unibg.it/dati/bacheca/224/47381.PDF
Budget: 850’000€


Period: 2007-2009
Principal investigator: A. Fassò
Funding: Italian Research and University Ministry
Project: Relevant National Project (PRIN-2006).
General Subject: Statistical analysis and modelling of impact and risk for environmental phenomena in space and time
WEB: http://www.ricercaitaliana.it/prin/dettaglio_completo_prin_en-2006131039.htm
Budget: 260’000€

Period: 2006-2008
Principal investigator: Rosalba Ignaccolo
Associated investigator: A. Fassò, Head of Bergamo unit
Funding: Regione Piemonte
Project: APQ 2004
Subject: Statistical methods and spatio-temporal models for air-quality monitoring
Local Budget: 55’000€

Period: 2005-2009
Principal investigator: A. Fassò
Funding: Field Srl, SisgeoSrl
Subject: Statistical monitoring of geotechnical and engineering structures
Budget: 60’000€

Period: 2005-2006
Principal investigator: Daniela Cocchi
Associated investigator: A. Fassò, Head of Bergamo unit
Funding: Italian Research and University Ministry
Project: Relevant National Project (PRIN-2004)
Subject: Space-time modelling and uncertainty of the measures in environmental data analysis
Web: http://www.ricercaitaliana.it/prin/dettaglio_prin_en-2004137478.htm
Local Budget: 61’000€