Ph.D. candidate in Ingegneria Civile E Ambientale , 39th cycle (2023-2026)
Department of Environment, Land and Infrastructure Engineering (DIATI)
Profile
PhD
Research topic
Data-driven methodologies for the development of climate services
Tutors
- Jost-Diedrich Graf Von Hardenberg
- Massimo Dragan
Keywords
Biography
I focused my studies on the possible applications of Machine Learning and Deep Learning to Climate Science, which led to a master thesis regarding the data-driven definition of the meteorological seasons.
Teaching
Teachings
Master of Science
- The climate system. A.A. 2024/25, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Kuznetsov, Ivan; Grassi, Jacopo; Pantiukhin, Dmitrii; Shapkin, Boris; Jung, Thomas; ... (In stampa)
Climate Knowledge in Large Language Models. In: ARTIFICIAL INTELLIGENCE FOR THE EARTH SYSTEMS. ISSN 2769-7525
Contributo su Rivista