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Free University of Bozen-Bolzano

Tenured full professors | Machine Learning, Data Science

Giuseppe Di Fatta

Giuseppe.DiFatta@unibz.it

BZ B1 5.18
Faculty of Engineering
NOI Techpark - Bruno-Buozzi-Straße 1 - via Bruno Buozzi, 1
39100
Bozen-Bolzano

Short bio

Giuseppe Di Fatta is a Full Professor at the Free University of Bozen-Bolzano (Italy) since 2022. From 2006 to 2021, he was with the University of Reading (UK), where he also served as Head of the Department of Computer Science from 2016 to 2021. Between 2004 and 2006, he was at the University of Konstanz (Germany), where he was part of the initial development team of KNIME, a widely used data science and machine learning platform. From 2000 to 2004, he worked with the High-Performance Computing and Networking Institute of the National Research Council of Italy, and in 1999 he was a research fellow at the International Computer Science Institute (ICSI) in Berkeley, California.
His research interests include artificial intelligence, machine learning algorithms, data science, and data-driven applications in both scientific and industrial domains. He has authored more than 140 peer-reviewed publications and has been a member of the IEEE since 2002 and a Fellow of the Higher Education Academy (UK) since 2009. He is also a member of the Technical Committee on Machine Learning (TC-ML) of the IEEE Systems, Man, and Cybernetics Society.

Courses

Codeless Machine Learning in KNIME

71078 · ING-INF/05 · PhD Programme in Computer Science · EN

Data-driven Decision Making

76439B · ING-INF/05 · Bachelor in Informatics and Management of Digital Business · EN

Machine Learning

27503 · INF/01 · Master in Data Analytics for Economics and Management · EN

Machine Learning

73078 · ING-INF/05 · Master in Computing for Data Science · EN

Discover more about Giuseppe Di Fatta

unibz representatives at the annual UnILiON event

Rector Alex Weissensteiner, Prof. Giuseppe Di Fatta and Francesca Ricardi di Netro, unibz Research P…

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unibz annuncia due nuovi Master di 1° livello per laureati triennali, imprenditori e professionisti,…

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Research Focuses

Machine Learning algorithms

Multi-task Deep Learning

Machine Learning and Data Science for multidisciplinary applications in Science and Industry

Research Macro Area

Laboratory

Info

Current active projects:

- Multi-Task Deep Learning (MTDL)

- AI Engineering Suite to support Agile Efficient Software Engineering (AI4SWEng)

- European Digital Innovation Hub (EDIH) - Competence Network for Artificial Intelligence

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