Luca Bortolussi

professor of Computer Science and head of the the AI lab University of Trieste

Luca Bortolussi è attualmente professore ordinario di Informatica all’Università di Trieste, dove dirige l’AI-lab. È stato professore associato (2015-2021) e assistente (2006-2015) nella stessa Università. Nel 2014-2015 è stato professore di Modelling and Simulation all’Università di Saarland e professore ospite nel 2026 e 2018-2021. Nel 2012 è stato ricercatore ospite alla School of Informatics dell’Università di Edimburgo. Si è laureato in Matematica a Trieste nel 2003 e ha conseguito il dottorato in Informatica nel 2007 all’Università di Udine. I suoi interessi di ricerca sono incentrati sull’intelligenza artificiale, includendo metodi simbolici e formali in informatica, apprendimento automatico probabilistico e deep leaning, simulazione e controllo. Si occupa anche di sistemi ciber-fisici, sistemi adattivi collettivi, intelligenza artificiale spiegabile e varie applicazioni in medicina, assicurazioni, industria, sostenibilità e cambiamento climatico.

Luca Bortolussi is currently a Full Professor of Computer Science at the University of Trieste, leading the AI lab. Previously, he served as Associate Professor (2015-2021) and Assistant Professor (2006-2015) at the same University. In 2014-2015, he was a Professor of Modelling and Simulation at Saarland University, and a Guest Professor in 2026 and 2018-2021. In 2012, he was a Visiting Researcher at the School of Informatics, University of Edinburgh. He graduated in Mathematics from Trieste in 2003 and he earned a PhD in Computer Science in 2007 from the University of Udine. His research interests span artificial intelligence, including symbolic and formal methods in computer science, probabilistic and deep machine learning, simulation, and control. He also focusses on cyber-physical systems, collective adaptive systems, explainable artificial intelligence, and various applications in medicine, insurance, industry, sustainability, and climate change.

Friday 27 september / time 16.30-17.45
Urban Center

Corso Camillo Benso Conte di Cavour, 2/2, 34132 Trieste, TS, Italia

ARTIFICIAL EDUCATION: LEARNING IS CHANGING IN THE ERA OF ARTIFICIAL INTELLIGENCE

A panel with

Luca Bortolussi, professor of Computer Science and head of the the AI lab University of Trieste

Giovanni Landi, vice-president of the EuropIA Institute

Chiara Panciroli, professor of Didactics and Special Pedagogy University of Bologna

Chaired by

Giovanni Grandi, professor of Moral Philosophy at the University of Trieste

The event will take place in italian

Friday 27 september / time 18-19.15
Camera di Commercio di Trieste

Piazza della Borsa, 14, Trieste, TS, Italia

HOW DATA AND AI ARE TRANSFORMING MULTIUTILITIES?

A panel with

Luca Bortolussi, professor of Computer Science and head of the the AI lab University of Trieste

Franco Francia, vicepresident Dama Italy

Giorgia Silvi, digital transition Gruppo Hera

Andrea Zancola, business intelligence & data management AcegasApsAmga

Chaired by

Marco Panara, editorialist NEM Nord-Est Multimedia Group

The event will take place in italian

Saturday 28 september / time 16.30-17.45
Sala Maggiore, Camera di Commercio di Trieste

Piazza della Borsa, 14, Trieste, TS, Italia

THE FUTURE OF DATA: STATISTICS, ARTIFICIAL INTELLIGENCE AND ETHICS

A panel with

Luca Bortolussi, professor of Computer Science and head of the the AI lab University of Trieste

Karina Gibert, Professor and Director Intelligent Data Science and Artificial Intelligence research center (UPC), dean College of Computer Engineering of Catalonia

Chaired by

Massimo Fedeli, head of Department for Development of Methods and Technologies for the Production and Dissemination of Statistical Information Istat

The event will take place in italian

Saturday 28 september / time 18-19.15
Teatro Verdi

Piazza Giuseppe Verdi, 1, Trieste, TS, Italia

A COLLECTIVE PERSPECTIVE ON ARTIFICIAL INTELLIGENCE

Presented by

Luca Bortolussi, professor of Computer Science and head of the the AI lab University of Trieste

Keynote lecture by

Michael Irwin Jordan, professor of Electrical Engineering and Computer Sciences and professor of Statistics, UC Berkeley

The event will take place in italian