External links
- Manlio De Domenico publications indexed by Google Scholar
Manlio De Domenico | |
|---|---|
| Born | Manlio De Domenico 1984 (age 40–41) Italy |
| Nationality | Italian |
| Citizenship | Italian |
| Alma mater | University of Catania (Ph.D) |
| Scientific career | |
| Fields | network science, multilayer networks, complex adaptive systems |
| Institutions | University of Padua Fondazione Bruno Kessler University of Rovira i Virgili MPIPKS University of Birmingham Scuola superiore di Catania |
Manlio De Domenico is an Italian physicist and complex systems scientist, currently Professor of Physics at the University of Padua and previously at the Fondazione Bruno Kessler in Trento (Italy). In 2014 he has co-founded the Mediterranean School of Complex Networks, [1] and in 2019 he has contributed to found the Italian Chapter of the Complex Systems Society, for which he served as first President. [2]
The focus of his research is on complex adaptive systems and big data analysis, where he is best known for his theoretical and computational work in network science, statistical physics and nonlinear dynamics of multilayer systems. [3]
He was born in Messina in 1984. He got his Ph.D. in nuclear and astroparticle physics from the University of Catania and the Scuola Superiore di Catania in 2012, proposing a data-driven model for the propagation of Ultra-High Energy Cosmic Rays (UHECR) in a magnetized Universe and a multiscale approach to analyze their anisotropic distribution at Earth, [4] with visiting scholarships at the Institute for Nuclear Theory [5] of the University of Washington and the Institut de physique nucléaire d'Orsay.
He held postdoctoral positions (2012-2013) at the School of Computer Science of the University of Birmingham (UK), and (2013-2016) at the University of Rovira i Virgili (Spain). In 2016 he has been a visiting scholar at the Max Planck Institute for the Physics of Complex Systems. From 2016 to 2018 he held the "Juan de la Cierva" senior fellowship at the University of Rovira i Virgili. Since 2018 he directs the Complex Multilayer Networks (CoMuNe) Lab [6] founded at the Fondazione Bruno Kessler.
He has published more than 180 scientific papers, [7] with interdisciplinary contributions in computational social science, network epidemiology, network neuroscience, network medicine and systems biology. Notable works include the tensorial formulation of multilayer structure and dynamics, [3] [8] [9] applications to community structure [10] and coupling of human behavior with epidemic spreading, [11] network geometry, [12] [13] network entropy for multiscale analysis of the interplay between structure and dynamics, [14] percolation and network robustness to perturbations, [15] [16] [17] [18] Infodemic. [19] [20]
His collaborators include Alex Arenas, Sylvie Briand, Guido Caldarelli, James Cronin, Shlomo Havlin, Vito Latora, Yamir Moreno, Mason Porter, Steven Strogatz and Alan Andrew Watson.
In 2023, he was awarded a significant grant from the Fondo Italiano per la Scienza (FIS) of the Italian Ministry of University and Research, distinguishing himself as one of 47 exceptional scientists selected from 1,912 applicants. This grant provides substantial research funding aimed at developing optimal strategies for adapting human-made systems and networks to the current and future effects of climate change, addressing key challenges at the intersection of complex systems science and environmental change.
Other awards and recognitions:
His influential article, Complesso è diverso da complicato: per questo serve multidisciplinarietà, which discusses the difference between complex and complicated systems and argues for the importance of multidisciplinarity, was featured in Il Sole 24 Ore (Nòva supplement, 6 March 2022, p. 18). This piece was selected by the Italian Ministry of Education as one of the three texts for the 2022 supplementary session of the upper secondary education Italian exams, alongside works by W. Churchill and Philippe Daverio. [External Link to the Italian Exam Document](https://www.istruzione.it/esame_di_stato/202122/Italiano/Suppletiva/P000_SUP22.pdf)
