Giulio Cimini

PHYS-02/A Theoretical physics of fundamental interactions, models, mathematical methods and applications
Contacts

Personal website: https://www.giuliocimini.com

I graduated in Physics at “La Sapienza” University of Rome in 2009. Then I got the PhD degree in theoretical and interdisciplinary physics at University of Fribourg (Switzerland) in 2013, defending the thesis “Physics of evolving complex systems: models, algorithms and applications”. My PhD research activity focused on developing both models of evolving complex networks and algorithms to study and enhance information diffusion over social systems.

After the PhD, I was awarded a fellowship from the Swiss Natural Science Foundation for a research project on evolutionary game theory that he carried out at University Carlos III in Madrid (Spain). Afterwards I joined as postdoc the Institute of Complex Systems (ISC-CNR) in Rome, where my research focused on modeling dynamics of innovation and competitiveness in economics and social networks, as well as the topology and dynamics of financial systems. Then I got an assistant professor position at IMT School for Advanced Studies in Lucca, where he focused on quantitative analysis and modeling of complex economic and financial systems, that is, on using statistical mechanics techniques to infer networks of bilateral and indirect exposures between financial institutions, and on developing dynamical models for risk propagation in financial networks. I carried out this research activity in collaboration with researchers from regulatory entities (central banks and clearing houses).

After a short period as permanent researcher back at ISC-CNR, I am now associate professor at the Physics Department of University of Rome Tor Vergata. My current research focuses on the development of network models based on statistical mechanics and information theory, with dual applications in network reconstruction and the statistical validation of empirical observations on networks. I also study critical phenomena such as percolation and diffusion on networks. These techniques are applied to the study of emerging dynamics in economic, social, and financial systems.

https://www.giuliocimini.com/papers

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Teaching in the Physics Department
ID Course Name Semester Length CFU
Optimization and Statistical Mechanics Second 14 Weeks 8