Zennaro Federica

Institute for Climate Resilience
Risk Assessment and Adaptation Strategies Division

Venezia: Edificio Porta dell’Innovazione – Piano 2, via della Libertà 12 – 30175 Venezia Marghera (VE)

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Federica is currently a PhD candidate in Science and Management of Climate Change at Ca’ Foscari University, Italy. She is developing a project on risk assessment and adaptation planning using machine learning algorithms applied to both monitoring and remote sensing data. Specifically, her focus is on disaster risks caused by extreme events.

She has a background in Environmental Science (Ca’ Foscari University), and before joint CMCC she worked for national and international NGOs being always active and involved in a lot of projects driven by her passion for environmental protection.

LATEST PUBLICATIONS
Hypoxia extreme events in a changing climate: Machine learning methods and deterministic simulations for future scenarios development in the Venice Lagoon
Venice lagoon chlorophyll-a evaluation under climate change conditions: A hybrid water quality machine learning and biogeochemical-based framework
Combining remote sensing analysis with machine learning to evaluate short-term coastal evolution trend in the shoreline 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
Exploring machine learning potential for climate change risk assessment
Study on adaptation modeling
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