Researchers with a fixed-term contract
Ivan Donadello
BZ B1 5.34 Faculty of Engineering
NOI Techpark - Bruno-Buozzi-Straße 1 - via Bruno Buozzi, 1
39100
Bozen-Bolzano
NOI Techpark - Bruno-Buozzi-Straße 1 - via Bruno Buozzi, 1
39100
Bozen-Bolzano
Short bio
Ivan Donadello received his Ph.D. in Computer Science jointly from the University of Trento and Fondazione Bruno Kessler (Trento, Italy) in 2028. From 2018 to 2021 he was a researcher at Fondazione Bruno Kessler on the topic of computational persuasion for behavioural change virtual agents. From 2021, he is assistant professor in Computer Science at the Faculty of Engineering at the Free University of Bozen-Bolzano.
His research interests focus on predictive process monitoring in the light of Neuro-Symbolic Artificial Intelligence. His research appeared in major journals such as INF FUS, AIIM, IEEE INT SYS, ACM COMP SUR, DMKD, BISE, INFOSYS and major conferences such as IJCAI, AAAI, CAiSE ECAI, BPM (runner up best paper award in 2024), ISWC and IJCNN. He currently heads the machine learning and data structures and algorithms courses at the Free University of Bozen-Bolzano.
He is associate editor for the Logic and Reasoning in AI section of the Frontiers in Artificial Intelligence journal.
Courses
Algorithms and Programming
42407 · IINF-05/A · Bachelor in Electronics and Cyber-Physical Systems Engineering · IT
Data Structures & Algorithms
76410 · INFO-01/A · Bachelor in Informatics and Management of Digital Business · IT
Machine Learning in Practice
76266B · IINF-05/A · Bachelor in Computer Science · IT
Discover more about Ivan Donadello
AIxIA, the 23rd International Conference of the Italian Association for AI
Artificial Intelligence is revolutionising the way we live, work, and solve problems.
BPM e AI. Ivan Donadello premiato a Cracovia
Un suo paper, in cui esplora gli impieghi dell’AI nel Business Process Management, il secondo miglio…
Research Focuses
Predictive Process Monitoring, Process Mining, Neural-Symbolic Artificial Intelligence, Artificial Intelligence, Explainable AI, Semantic Image Interpretation