Bachelor's Degree Programme in
Linguistic and Cultural Mediation

Linguistic and Cultural Mediation [LT5-21-21]
Enrolled in a.y. 2021/2022

Sebastiano VASCON

Qualifica
Professore Associato
Telefono
041 234 8487
E-mail
sebastiano.vascon@unive.it
SSD
Informatica [INFO-01/A]
Sito web
www.unive.it/persone/sebastiano.vascon (scheda personale)
 https://www.sebastianovascon.it
Struttura
Dipartimento di Scienze Ambientali, Informatica e Statistica
Sito web struttura: https://www.unive.it/dais
Sede: Campus scientifico via Torino
Stanza: studio 514A (edificio Alfa, 5° piano)
Struttura
Centro Europeo Interuniversitario di Ricerca - European Center for Living Technology
Sito web struttura: https://www.unive.it/eclt
Research Institute
Research Institute for Digital and Cultural Heritage
Research Institute
Research Institute for Complexity

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.