Flavio Giobergia

Fixed-term assistant professor
Department of Control and Computer Engineering (DAUIN)

Member of Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory

flavio.giobergia@polito.it

Profile

Research interests

Applied artificial intelligence

Artificial intelligence

Deep learning

Machine learning

Scientific branch

ING-INF/05 - INFORMATION PROCESSING SYSTEMS
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, natural language processing

PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

PE6_3 - Software engineering, programming languages and systems

PE6_10 - Web and information systems, data management systems, information retrieval and digital libraries, data fusion

SDG

Goal 4: Quality education

Teaching

Collegi of the degree programmes

Collegio di Ingegneria Civile. Componente invitato
Collegio di Ingegneria Gestionale e della Produzione. Componente invitato
Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Teachings

Master of Science

Business intelligence per big data. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
Data science lab: process and methods. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Transport systems and data analytics/Transport planning (modulo di Transport systems and data analytics). A.A. 2023/24, INGEGNERIA CIVILE. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2022/23, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2020/21, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Data Science e Tecnologie per le Basi di Dati. A.A. 2019/20, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Data science lab: process and methods. A.A. 2019/20, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Research

Research projects

Projects funded by commercial contracts

ImEDA - Improving Efficiency in Detection Analysis, (2023-2024) - Responsabile Scientifico
Consulting

Publications

Latest publications View all publications in Porto@Iris

Cancedda, Christian; Cappellato, Alessio; Maninchedda, Luigi; Meacci, Leonardo; ... (2024)
Social and economic variables explain COVID-19 diffusion in European regions. In: SCIENTIFIC REPORTS, vol. 14. ISSN 2045-2322
Contributo su Rivista
Monaco, Simone; Bussola, Nicole; Buttò, Sara; Sona, Diego; Giobergia, Flavio; Jurman, ... (2024)
AI models for automated segmentation of engineered polycystic kidney tubules. In: SCIENTIFIC REPORTS, vol. 14. ISSN 2045-2322
Contributo su Rivista
Koudounas, Alkis; Giobergia, Flavio; Benedetto, Irene; Monaco, Simone; Cagliero, Luca; ... (2023)
baρtti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy. In: EVALITA 2023, Parma (ITA), September 7th - 8th, 2023. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding)
Giobergia, Flavio; Koudounas, Alkis; Baralis, Elena Maria (2023)
Reconstructing Atmospheric Parameters of Exoplanets Using Deep Learning. In: 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT), Baku (AZE), 18-20 October 2023. ISBN: 979-8-3503-0356-8
Contributo in Atti di Convegno (Proceeding)
Giobergia, Flavio; Baralis, Elena (2023)
Late Fusion-based Distributed Multimodal Learning. In: 2023 IEEE International Conference on Big Data (BigData), Sorrento (ITA), 15-18 December 2023, pp. 2152-2156. ISBN: 979-8-3503-2445-7
Contributo in Atti di Convegno (Proceeding)