Edificio Porta dell'Innovazione - Piano 2 - via della Libertà 12 - 30175 Venezia Marghera (VE), Italy
Prof. Andrea Critto. Ph.D. in Environmental Science. He is Senior Scientist at the Euro-Mediterranean Center on Climate Change (CMCC), Risk Assessment and Adaptation Strategies Division. And Full Professor at Dept. of Environmental Sciences Informatics and Statistics, University Ca’ Foscari of Venice, where he teaches Environmental Risk Assessment and Climate Change Impact Assessment. His research activities include also the development of Decision Support System for Climate Change Risk Management. Longstanding member of SETAC Europe, EGU, MEDCOAST and SISC (Italian Society for Climate Science). He has been a foreign expert confirmed by the State Administration of Foreign Expert Affair of the People’s Republic of China. He has more than 120 scientific publications in international refereed journals.
LATEST PUBLICATIONS
- Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework
- Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice
- Spatio-temporal cross-validation to predict pluvial flood events in the Metropolitan City of Venice
- Extensive study of recurrent neural network architectures with a multivariate approach for water quality assessment in complex coastal lagoon environments: A case study on the Venice Lagoon
- Ecosystem services at risk in Italy from coastal inundation under extreme sea level scenarios up to 2050: a spatially resolved approach supporting climate change adaptation
- Invited perspectives: A research agenda towards disaster risk management pathways in multi-(hazard-)risk assessment
- A Bayesian network approach for multi-sectoral flood damage assessment and multi-scenario analysis
- Stochastic system dynamics modelling for climate change water scarcity assessment of a reservoir in the Italian Alps
- Prioritization of resilience initiatives for climate-related disasters in the Metropolitan City of Venice
- Exploring machine learning potential for climate change risk assessment