Courses a.y. 2021/2022
30412 MACHINE LEARNING
30537 FOUNDATIONS OF PHYSICS I
30547 FOUNDATIONS OF PHYSICS II
30554 MATHEMATICAL MODELLING IN MACHINE LEARNING
30557 AI LAB
30586 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE LAB
41002 STATISTICAL MECHANICS AND METHODS FOR COMPLEX SYSTEMS
Italian Doctor Degree in Electronic Engineering (Torino, Politecnico, 1988) - PhD in Theoretical Physics (Turin University, 1993).
Full Professor in Theoretical Physics at Bocconi University, previously full Professor at Politecnico di Torino. He has been research scientist and head of the Statistical Physics Group at the International Centre for Theoretical Physics in Trieste (‘97-‘07).
Since 2018 he holds the Vodafone Chair in Machine Learning and Data Science.
- In 2016 Riccardo Zecchina received the Lars Onsager prize in Theoretical Statistical Physics by the American Physical Society (https://www.aps.org/programs/honors/prizes/onsager.cfm) with the citation: "For groundbreaking work applying spin glass ideas to ensembles of computational problems, yielding both new classes of efficient algorithms and new perspectives on phase transitions in their structure and complexity."
- Riccardo Zecchina is an Advanced grantee of the European Research Council (ERC) for the project “Optimization and inference algorithms from the theory of disordered systems” 2010-2015.
More details and information available on my Google Page