Manlio De Domenico's Homepage

Our Lab at Dept. of Physics of Univ. of Padua

CoMuNe Lab, June 2025

Valeria D'Andrea I study the Dynamics of Complex Systems, with specific focus on Biological Systems. I use network theory, statistical physics, and data analysis tools to work on both theory and applications. My research interests include brain dynamics, neural networks, spreading processes, nonlinear dynamics and chaos
Personal WebPage		Non-tenured Assistant Professor (Ricercatore RTDa)

				Mauro Faccin I'm a postdoc researcher which main research interests lie in the analysis of dynamical systems that evolve and interact with complex topologies or networks. This encompasses a wide range of interdisciplinary scenarios, from physics (my personal background) to medicine, from sociology to technology. In particular, I concentrate on identifying and characterizing the topological features, such as community or other mesoscopic structures, that emerge from the analysis of the underlying data.
		Postdoctoral Researcher

Davide Zanchetta I am a theoretical physicist and postdoctoral researcher at the University of Padova. My research focuses on uncovering universal phenomena in complex systems, ranging from ecological and biological systems to financial, technological and information networks. I specialise in stochastic processes and random matrix theory, with a current focus on complex networks. Outside of research, I enjoy playing the piano and ukulele, as well as dragon boat paddling.
		Postdoctoral Researcher

				Renjie Xu I am currently a research assistant at the University of Padua, with a primary focus on the resilience of complex systems and infrastructures networks. My interest lies in exploring new methods to make complex systems adaptable to disruptive events from the perspectives of systems engineering and statistical physics. I am committed to designing more robust and resilient complex systems to mitigate the adverse effects of natural disasters on human activities.
		Research Assistant

Oriol Artime Trained as a physicist at Univ. of Barcelona, I moved to IFISC (Mallorca) to pursue a PhD on complex systems. I use tools from network theory, statistical physics and stochastic processes to better understand complex systems in general, and models of social dynamics in particular.
Personal WebPage		External Research Affiliate (U. Barcelona)

				Tommaso Bertola I am an enthusiastic Physics of Data master student interested in the wide range of phenomena that Complex and Dynamical Systems and Network Science theories aim to describe and model. In the late part of my studies, I became particularly fascinated by the interdisciplinary challenges that arise when these frameworks are applied to some aspects of social, medical, and biological fields with the aim of describing and understanding their characteristics behaviours through theoretical and computational techniques.
		PhD Candidate (with FBK)

Riccardo Sbarbati I am a student currently enrolled in the master’s degree course in Physics of Data at the University of Padova. During my academic years I have developed a strong interest in the study of interdisciplinary applications of Physics using Complex Systems and Network Science. I am particularly attracted to the possibility of implementing these tools in fields such as neuroscience and general medicine, encompassing both theoretical and computational approaches.
		PhD Candidate

				Luca Allegri I am currently pursuing the Physics of Data master’s degree at the University of Padua. I am interested in complex systems, with a particular focus on biology and neuroscience. Specifically, I am interested in the study of the brain as a highly interconnected physical system that can be explored with tools coming from statistical mechanics, network science and dynamical systems.
		PhD Candidate

Andrea Filippo Beretta I am a theoretical physicist who obtained his Master degree in Physics at the University of Milano-Bicocca, with a master thesis project centered around the Random Field Ising Model and its emergent Parisi-Sourlas Supersymmetry. I am passionate about the idea of using methods borrowed from Statistical Physics and High Energy Physics to gain a better understanding of all kinds of phenomena and processes, both from the natural world and the human one. For this reason, I am currently pursuing a PhD in Physics at the University of Padua, which is focused on applying Field Theory methods to Network Theory. In my free time I enjoy traveling and going to the gym.
		PhD Candidate

				Mojtaba Roshana I have a physics BSc with specialization in computational astrophysics. Fascinated by complex networks and machine learning, I'm currently pursuing an MSc in Physics of Data at Padua University. My interests lie in network science and complex systems.
		PhD Candidate

Vittoria Bettio Interested in complex systems, I’m fascinated how these can be applied to many systems that regards humanity and its interactions.
		PhD Candidate

				Paolo Lapo Cerni I love looking at complex systems through the lens of interdisciplinary physics, by gathering ideas from statistical physics, machine learning, and information theory. Complex networks are my favorite playground because of their vast range of applications.
		PhD Candidate

Francesco Zambelli I'm an PhD Candidate in Physics. I'm interested in statistical mechanics and its applications to systems biology and network medicine.
		PhD Candidate

				Xianglai Yuan I'm a PhD Candidate in Physics, and I am very interested in exploring and explaining the mechanisms behind various dynamical phenomena, especially epidemic spreading and brain network dynamics, using stochastic-process and statistical-physics methods.
		PhD Candidate

Xueming Xu I’m a visiting PhD student from China and currently working toward my Ph.D. degree in management science and engineering. I'm interested in the cascading spread of failure in interdependent networks and how they affect network reliability. My current research mainly focuses on identifying key nodes in interdependent networks using graph neural networks and smart optimization algorithms. I'm really into music and movies, can play a bit of drums, and enjoy outdoor activities.
		Visiting Scholar (PhD)

				Yonggang Wu My research focuses on complex biological systems. My research interests lie in exploring phase transitions, critical early warning of extreme events, and network reconstruction in complex biological systems from the perspectives of AI and statistical physics. I am dedicated to applying AI and physics approaches to analyze biological systems, encompassing both macroscopic collective behaviors and microscopic gene sequence analysis.
		Visiting Scholar (PhD)

Giorgia Fasiolo I am currently pursuing a Master's degree in Physics of Data at the University of Padua. I am fascinated by complex systems, in particular by the study of emergence and robustness in a wide range of real-world phenomena through the tools of network science.
		MSc Student

				Sofia Di Lucia Curious about how complex systems emerge and evolve, and what these ideas can tell us about society. I'm interested in applying complexity and network science to social phenomena, exploring how interactions between individuals can give rise to collective behaviours and unexpected patterns at a larger scale.
		MSc Student

Riccardo Corte I am a Master's student in Physics of Data at the University of Padua. I am interested in the robustness of complex networks, and in particular in how cascading failures spread and how they can be stopped early. My thesis combines message passing methods with machine learning to identify the nodes whose protection keeps a cascade from scaling. I have applied these ideas in CIRCLES, a project on the resilience of urban infrastructures.
		MSc Student

				Mattia Ziglioli I am a MSc student of the Physics of Data degree at the University of Padova, with an interest in network theory and statistical mechanics. I am fascinated by the possibility of applying the tools and models of these fields to different areas such as physics, complex networks, neuroscience and machine learning. In my free time, I enjoy hiking and skiing.
		MSc Student

Former Members/Visiting Scholars

Postdoctoral Researcher(s)

Riccardo Gallotti
Postdoctoral Researcher

Valeria D'Andrea
Postdoctoral Researcher

Tomas Scagliarini
Postdoctoral Researcher

Johannes Nauta
Postdoctoral Researcher

Charley Presigny
Postdoctoral Researcher

Jianhong Lin
Visiting Scholar (Postdoctoral Researcher)

Paolo Emilio Trevisanutto
Postdoctoral Researcher

Massimo Stella
Postdoctoral Researcher

PhD(s)

Tomas Scagliarini
Postdoctoral Researcher

Jianhong Lin
Visiting Scholar (Postdoctoral Researcher)

Giulia Bertagnolli
PhD
Thesis: Modelling the process-driven geometry of complex networks
Score: PhD cum laude

Sebastian Raimondo
PhD
Thesis: Network models for large-scale human mobility
Score: PhD cum laude

Barbara Benigni
PhD
Thesis: Exploring the interplay between the human brain and mind: a complex systems approach. Case study of Alzheimer’s disease
Score: PhD cum laude

Arsham Ghavasieh
PhD
Thesis: Statistical Physics of Information Flow in Complex Interdependent Systems
Score: PhD cum laude

Sebastiano Bontorin
PhD
Thesis: Optimal structures and collective dynamics of human flows in transportation networks
Score: PhD cum laude

Giacomo Barzon
PhD (UniPD) with LIPH Lab and FBK
Thesis: Probing Brain Networks: Perturbation Models and their Role in Understanding Brain Structure and Function
Score: PhD cum laude

Ivana Bachmann
Visiting Scholar (PhD)

Obaida Hanteer
Visiting Scholar (PhD)

Zhang Zhang
Visiting Scholar (PhD)

Renjie Xu
Visiting Scholar (PhD)

Research Scholarship(s)

Arsham Ghavasieh
Research Scholarship

Andrea Valsecchi
Research Scholarship

Vittoria Bettio
Research Scholarship

Giorgio Vittorio Visco
Research Scholarship

Riccardo Sbarbati
Research Scholarship

Luca Allegri
Research Scholarship

Lorenzo Gamba
Research Scholarship

MSc Student(s)

Sebastiano Bontorin
MSc Student
Thesis: Geometry of network-driven processes
Score: 110/110 cum laude

Clara Eminente
MSc Student
Thesis: Interplay between exogenous triggers and endogenous behavioral changes in complex contagion processes on social systems
Score: 110/110 cum laude

Angelo Valente
MSc Student
Thesis: Modeling non-local cascades in complex networks using Self-Avoiding Teleporting Random Walks
Score: 110/110 cum laude

Giorgia Casaccio
MSc Student
Thesis: Statistical data depth based measures for networks: dispersion and core-periphery structures
Score: 107/110

Piergiorgio Castioni
MSc Student
Thesis: Critical behaviour of reaction-diffusion processes with different time-scales
Score: 110/110 cum laude

Chiara Veronese
MSc Student
Thesis: Quantifying the robustness of interconnected systems from their collective dynamics
Score: 110/110

Vittoria Bettio
MSc Student
Thesis: A bio-inspired evolutionary approach to model fake news diffusion
Score: 110 cum laude

Giuseppe Bevilacqua
MSc Student
Thesis: Entangled dynamical systems on networks: a density matrix approach

Paolo Lapo Cerni
MSc Student
Thesis: Variational principles for hierarchical and modular architectures in complex networks
Score: 110 cum laude

Claudia Lorenzetti
MSc Student
Thesis: Emergent behaviors in structured populations with coupled dynamics

Marco Cavazza
MSc Student
Thesis: Thermodynamic approach to network dismantling under uncertainty

Daniele Moretto
MSc Student
Thesis: Bayesian Inference and Non-Equilibrium Statistical Physics of Complex Networks for Brain Dynamics

Nicola Zomer
MSc Student
Thesis: Swarm Intelligence in Interacting Language Model Agents
Score: 110/110 cum laude

Francesco Zambelli
MSc Student
Thesis: Characterizing oncogenic features from protein-protein multilayer interaction networks
Score: 110/110 cum laude

Filippo Festa
MSc Student
Thesis: Using information fields to study structure and dynamics of uncertain networks
Score: 110/110 cum laude

Riccardo Sbarbati
MSc Student
Thesis: Modeling and simulation of biological processes on top of the multiscale interdependent system of C. Elegans
Score: 110/110 cum laude

Luca Allegri
MSc Student
Thesis: Modeling and simulation of biological processes on top of the multiscale interdependent system of Homo Sapiens
Score: 110/110 cum laude

Mojtaba Roshana
MSc Student
Thesis: Generalized thermodynamics of complex information dynamics: optimization procedures and applications to mammalian connectomes
Score: 105/110

Mahdy Vatankhahan
MSc Student
Thesis: Finite size scaling effects in the performance of bio-inspired recurrent neural networks

Tommaso Bertola
MSc Student
Thesis: Critical behavior in multiscale epidemic models based on force of infection
Score: 110/110 cum laude

Maryam Feizi
MSc Student
Thesis: TBD

Pavitra Batra
External MSc Student (IISER)
Thesis: Analysis of information dynamics in protein interaction networks across the tree of life

Anna Bertani
MSc Student
Thesis: Characterization of social behavior dynamics in online social network during exceptional events
Score: 110/110 cum laude

Michele Puppin
MSc Student
Thesis: Connectomics meets bio-inspired computing: analysis of the complex interplay between network structure and function
Score: 110/110 cum laude

Alessandra Corso
MSc Student
Thesis: Analyzing statistical ensembles of neural systems: functional and structural brain networks
Score: 110/110 cum laude

Davide Maniscalco
MSc Student
Thesis: Critical phenomena in multiscale empirical reaction-diffusion systems, study and implementation
Score: 110/110 cum laude

Arsham Ghavasieh
MSc Student
Thesis: Statistical physics of transport phenomena in complex multilayer systems
Score: 105/110

Giulia Bertagnolli
MSc Student
Thesis: complex networks and statistical data depths
Score: 110/110 cum laude

Mia Krnic
Visiting Scholar (Msc Student)

Bastian Heinlein
Visiting Scholar (Msc Student)

BSc Student(s)

Matteo Renato Calcagni
BSc Student
Thesis: A complex systems approach to the Fermi paradox

Andrea Valsecchi
BSc Student
Thesis: Discovering the law of motions from collective dynamics on networks with the SINDy framework

Vittoria Bettio
BSc Student
Thesis: Coupled dynamics of epidemic spreading on networks and pathogen evolutionary dynamics

Sebastian Waruszynski
BSc Student
Thesis: Estimation of the governing equations of biological systems from noisy signals on networks

Lorenzo Gamba
Bsc Student
Thesis: Reconstructing temporal dynamics in climate networks: an ensemble approach