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Davide Bacciu
Professor of Machine Learning @ UNIPI | Head of Pervasive AI Lab | Director of AI Research @ Aptus.AI | VP of Italian Association for AI | Coordinator of EIC EMERGE
Davide Bacciu is a prominent figure in the field of artificial intelligence and machine learning, currently serving as a Full Professor at the Università di Pisa since November 2023.1 His career at the university spans over a decade, having previously held positions as Associate Professor and Assistant Professor.1
Research and Expertise
Professor Bacciu is an expert in machine learning, particularly focusing on:
- Structured information processing (trees, graphs)
- Continual learning
- Distributed learning
He heads the Pervasive Artificial Intelligence Laboratory at the university and has been involved in several significant research projects.1
Leadership Roles
Bacciu holds several important leadership positions:
- Director of AI Research at Aptus.AI
- Vice President of the Italian Association for Artificial Intelligence
- Chair of the Neural Network Technical Committee at IEEE
- Coordinator of the EIC EMERGE project
Academic Contributions
As an accomplished researcher, Bacciu:
- Supervises graduate and post-graduate research
- Coordinates projects funded by public and industrial bodies
- Serves as a Senior Editor for IEEE Transactions on Neural Networks and Learning Systems
Career Progression
Bacciu's career at the Università di Pisa has seen steady advancement:
- Full Professor (November 2023 - Present)
- Associate Professor (July 2020 - November 2023)
- Assistant Professor (May 2014 - July 2020)
- Research Associate (January 2009 - April 2014)
Additional Ventures
Beyond his academic roles, Bacciu is also involved in entrepreneurial activities, having founded QuantaBrain in February 2023.1
Highlights
If you are around Vienna for #ICML2024, come visit us at poster #602 today h. 13:30-15:00. Alessio Gravina and Claudio Gallicchio will be presenting our work on Long Range Propagation on Continuous-Time Dynamic Graphs.
What has the flower below have to do with graphs? If you wan't to know the answer, and you happen to be around Yokohama for IEEE WCCI, come join my tutorial on "Deep Learning for graphs" starting soon after the coffee break in Room 311. Otherwise just enjoy the peaceful scenary of an amazing Japanese garden on the right!
#deeplearning #graphs
