Sebastiano VASCON

Position
Associate Professor
Telephone
041 234 8487
E-mail
sebastiano.vascon@unive.it
Academic discipline
Informatics [INFO-01/A]
Website
https://www.unive.it/web/en/19197/people/sebastiano.vascon(personal record)
 https://www.sebastianovascon.it
Office
Department of Environmental Sciences, Informatics and Statistics
Website: https://www.unive.it/dep.dais
Where: Campus scientifico via Torino
Room: office 514A (Alfa building, 5th floor)
Office
European Center for Living Technology (ECLT)
Research Institute
Research Institute for Digital and Cultural Heritage
Research Institute
Research Institute for Complexity

Office hours

Teaching activity current year

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY [CM90]
Laurea magistrale (DM270)

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EMR3]
Laurea magistrale (DM270)

INGEGNERIA AMBIENTALE PER LA TRANSIZIONE ECOLOGICA [CT10]
Laurea

INGEGNERIA AMBIENTALE PER LA TRANSIZIONE ECOLOGICA [CTR10]
Laurea

LINGUE E CIVILTÀ DELL'ASIA E DELL'AFRICA MEDITERRANEA [LMR20]
Laurea magistrale (DM270)

STORIA DELLE ARTI E CONSERVAZIONE DEI BENI ARTISTICI [FMR9]
Laurea magistrale (DM270)

Teaching activity previous years

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY [CM90]
Laurea magistrale (DM270)

INGEGNERIA AMBIENTALE PER LA TRANSIZIONE ECOLOGICA [CT10]
Laurea

INGEGNERIA AMBIENTALE PER LA TRANSIZIONE ECOLOGICA [CTR10]
Laurea

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EM3]
Laurea magistrale (DM270)

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EMR3]
Laurea magistrale (DM270)

STORIA DELLE ARTI E CONSERVAZIONE DEI BENI ARTISTICI [FMR9]
Laurea magistrale (DM270)

LINGUE E CIVILTÀ DELL'ASIA E DELL'AFRICA MEDITERRANEA [LMR20]
Laurea magistrale (DM270)

SCIENZE AMBIENTALI [R310]
Corso di Dottorato (D.M.226/2021)

CONSERVATION SCIENCE AND TECHNOLOGY FOR CULTURAL HERITAGE [CM60]
Laurea magistrale (DM270)

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY [CM90]
Laurea magistrale (DM270)

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EM3]
Laurea magistrale (DM270)

LINGUE E CIVILTÀ DELL'ASIA E DELL'AFRICA MEDITERRANEA [LM20]
Laurea magistrale (DM270)

CONSERVATION SCIENCE AND TECHNOLOGY FOR CULTURAL HERITAGE [CM60]
Laurea magistrale (DM270)

COMPUTER SCIENCE AND INFORMATION TECHNOLOGY [CM90]
Laurea magistrale (DM270)

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EM3]
Laurea magistrale (DM270)

LINGUE E CIVILTÀ DELL'ASIA E DELL'AFRICA MEDITERRANEA [LM20]
Laurea magistrale (DM270)

SCIENZE AMBIENTALI [R210]
Corso di Dottorato (D.M.45)

CONSERVATION SCIENCE AND TECHNOLOGY FOR CULTURAL HERITAGE [CM60]
Laurea magistrale (DM270)

MANAGEMENT [EM13]
Laurea magistrale (DM270)

ECONOMIA E GESTIONE DELLE ARTI E DELLE ATTIVITÀ CULTURALI [EM3]
Laurea magistrale (DM270)

LINGUE E CIVILTÀ DELL'ASIA E DELL'AFRICA MEDITERRANEA [LM20]
Laurea magistrale (DM270)

SCIENZE AMBIENTALI [R210]
Corso di Dottorato (D.M.45)

Activities and research skills

Academic discipline
Informatica [INFO-01/A]
Settore Scientifico Disciplinare (SSD) affine
SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI [ING-INF/05]
Geographic areas in which the research experience mainly applies
Internazionale: Europa
Known languages
Italiano (scritto: madrelingua parlato: madrelingua)
Inglese (scritto: avanzato parlato: avanzato)
Main departmental research areas and fields
Area: Beni culturali Linea: Conservazione e restauro di beni mobili
Area: Informatica Linea: ARTIFICIAL INTELLIGENCE
Area: Informatica Linea: INFORMATION SYSTEMS
VIsione Artificiale
Description:
Computer Vision
Intelligenza Artificiale
Description:
Artificial Intelligence
Apprendimento Automatico
Description:
Machine Learning
Apprendimento con Reti Neurali Profonde
Description:
Deep Learning
Riconoscimento di Pattern
Description:
Pattern Recognition
Generative AI for Graphs
SSD:
INFO-01/A
Other members of the research group:
Giacomo ROSIN
Healthcare Robotics: Scene Understanding
SSD:
INFO-01/A
Other members of the research group:
Muhammad Rameez Ur RAHMAN
Giacomo ROSIN
Knowledge-graphs learning and exploration
SSD:
INF/01
AiCE: Deep ice - Deep learning. Artificial intelligence revealing the oldest ice climate signals
Funding body:
EU
Type:
H2020 - Excellence Science - ERC
Role in the project:
PT
Starting date:
Year: 2024 Length in months: 36
Other members of the research group:
Hasan LATIF
EasyWalk: Intelligent Social Walker for Active Living
Funding body:
MIUR
Type:
PRIN
Role in the project:
PT
Sito di progetto:
https://sites.google.com/view/easywalk-project/
Starting date:
Year: 2023 Length in months: 24
Other members of the research group:
Marcello PELILLO
Muhammad Rameez Ur RAHMAN
MEMEX: MEMories and EXperiences for inclusive digital storytelling
Funding body:
Commissione Europea
Type:
H2020 - Societal Challenges
Role in the project:
SB
Sito di progetto:
https://cordis.europa.eu/project/id/870743
Starting date:
Year: 2019 Length in months: 36
Other members of the research group:
Marcello PELILLO
Claudio SILVESTRI
RePAIR: Reconstructing the Past: Artificial Intelligence and Robotics meet Cultural Heritage
Funding body:
Horizon 2020
Type:
H2020 - Excellence Science - FET
Role in the project:
LD
Sito di progetto:
https://www.repairproject.eu/
Starting date:
Year: 2021 Length in months: 42
Other members of the research group:
Sinem ASLAN
Marcello PELILLO

Publication highlights

Ali, Waqar; Vascon, Sebastiano; Stadelmann, Thilo; Pelillo, Marcello Hierarchical glocal attention pooling for graph classification in PATTERN RECOGNITION LETTERS, vol. 10 (ISSN 0167-8655)
DOI 2024, Journal Article - ARCA card: 10278/5072521


Mohamed, Hebatallah A.; Pilutti, Diego; James, Stuart; Del Bue, Alessio; Pelillo, Marcello; Vascon, Sebastiano Locality-aware subgraphs for inductive link prediction in knowledge graphs in PATTERN RECOGNITION LETTERS, vol. 167, pp. 90-97 (ISSN 0167-8655)
DOI 2023, Journal Article - ARCA card: 10278/5014761


Ali W.; Vascon S.; Stadelmann T.; Pelillo M. Quasi-CliquePool: Hierarchical Graph Pooling for Graph Classification , SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, ACM, pp. 544-552, Convegno: SAC '23: Symposium on Applied Computing (ISBN 9781450395175)
DOI 2023, Article in Conference Proceedings - ARCA card: 10278/5036152


Elezi, Ismail; Seidenschwarz, Jenny; Wagner, Laurin; Vascon, Sebastiano; Torcinovich, Alessandro; Pelillo, Marcello; Leal-Taixe, Laura The Group Loss++: A deeper look into group loss for deep metric learning in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. PP, pp. 1-1 (ISSN 0162-8828)
DOI 2022, Journal Article - ARCA card: 10278/5003334


Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé The Group Loss for Deep Metric Learning , Proceedings of the European Conference on Computer Vision 2020, Springer, Convegno: European Conference on Computer Vision (ISBN 978-3-030-58570-9)
DOI 2020, Article in Conference Proceedings - ARCA card: 10278/3729010


List of publications

Curriculum vitae

Sebastiano Vascon is a tenured assistant professor (RTDb) at Ca' Foscari University of Venice at the Department of Environmental Sciences, Computer Science and Statistics (DAIS) and he is also affiliated with the European Centre for Living Technology. In May 2016 he obtained the title of Ph.D. from the Italian Institute of Technology and the University of Genoa, with a thesis on evolutionary game theory applied in the context of pattern analysis and computer vision. During the doctorate period, he focused his efforts on the detection of conversational groups to improve video surveillance systems and in the study of brain connectomics for the automatic analysis of neuronal connections between the hemispheres. Besides, he spent a visiting period at the ETH of Zurich working on multiple objects tracking and automatic video segmentation. He then spent a few years as a PostDoc researcher at Ca' Foscari University of Venice, before moving to the Technical University of Munich where he worked on Active Learning models with game theoretic principles. In 2021 he gets back to Ca' Foscari University as a tenured assistant professor.

Currently, his research interests are focused on artificial intelligence, graph neural networks, computer vision, machine learning and graph theory using models inspired by the game theory.

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