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

Tomas Scagliarini
   

I am a physicist from Italy working as a postdoctoral researcher. During my PhD, I worked on information theory and high-order effects in the fields of econophysics and neuroscience. Now in Padua my work focuses on modeling the behavior of network infrastructures in response to shocks due to climate instabilities and other catastrophic events (e.g. after an earthquake). In my spare time I enjoy cycling and biketouring.
      
     Postdoctoral Researcher   

      Johannes Nauta
   

I am a postdoctoral researcher from The Netherlands who is interested in unveiling mechanisms that facilitate long-term stability of ecological systems. In particular, I want to know how organisms respond to changes in the environment and how these responses subsequently affect ecological network dynamics. Outside of research I thoroughly enjoy climbing, cooking, hiking and messing with my Emacs config.
   Postdoctoral Researcher   

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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.
     

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    External Research Affiliate (U. Barcelona)   

      Arsham Ghavasieh
   

Theoretical physicist by training, I investigate multilayer networks as reliable frameworks for studying complex systems, from human brain to society. I am also interested in quantum gravity.
   External PhD Candidate (UniTN/FBK)    
Sebastiano Bontorin
   

I got my BSc in Physics at University of Trento in 2018. I am interested in the solution of complex computational problems, Biophysics and Network Science.
      
     External PhD Candidate (UniTN/FBK)   

      Giacomo Barzon
   

I got my MSc in Physics of Data at the University of Padova and I am currently pursuing a PhD in Neuroscience at the Padova Neuroscience Center. My main interests regard the study of the brain as an emblematic empirical complex system, using network structure and biologically inspired models of neural dynamics to investigate brain criticality and controllability, thanks to computational simulations and analytical tools mostly from statistical mechanics.
   PhD Candidate (UniPD) with LIPH Lab and FBK    
Chiara Veronese
   

I am a PhD student in Physics at the University of Padova. During my Master's studies, I developed an increasing interest in Statistical Physics and Complex Systems. I study biophysical networks and their population dynamics.
      
     PhD Candidate   
      Andrea Valsecchi
   

Physics Undergraduate student at UniPD. I am fascinated by the applications of machine learning and network theory in different disciplines.
   BSc Student   

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Vittoria Bettio
   

I'm currently finishing my bachelors degree in physics at UniPD. Interested in complex systems, I’m fascinated how these can be applied to many systems that regards humanity and its interactions. As my university experience has been heavily influenced by the recent pandemic, it was natural for me to further investigate how complex systems can help us in understanding epidemiology.
      
     BSc Student   
      Nicola Zomer
   

I am a master’s degree student in Physics of Data at the University of Padua, a recently born course that aims to provide students a high-level training in Data Science, while keeping a strong background in Physics. I am interested in the study of Complex Systems, using tools such as Network Theory, Machine Learning and in general Data Analysis techniques. In my spare time I enjoy training as a handbalancer.
   MSc Student    
Francesco Zambelli
   

I'm an undergraduate student of Physics in Unipd, currently attending the Master in Physics of data, a newborn course in which the study pf physics, and in particular of complex systems in my case, is supported by a deep use of machine learning tools. I'm interested in statistical mechanics and in general the role of statistics in the study of science.
      
     MSc Student   
      Filippo Festa
   

I am currently a UniPd student attending the "Physics of Data" master's degree course. My interests range from the complex systems' world to the study of artificial intelligence and data analysis techniques. I am particularly fascinated by the application of these methods to the study of social phenomena.
   MSc Student    
Pavitra Batra
   

I am an undergraduate student in Physics at the Indian Institute for Science Education and Research (IISER), Pune. I am interested in statistical mechanics and its applications in problems associated with complex social, economic, or biological systems. When I'm not studying, I enjoy dabbling in graphic designing and music production.
      
     External MSc Student (IISER)   
      Bastian Heinlein
   

I pursue my master's degree in Advanced Signal Processing & Communications Engineering at Friedrich-Alexander-University (FAU) Erlangen-Nuremberg, Germany. Naturally, my research interests are related to next-generation communication systems, molecular communications and machine learning. However, due to recent events I developed a strong interest in modelling the role of human behaviour in pandemics.
   Visiting Scholar (Msc)   

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Zhang Zhang
   

I'm a visiting PhD student from Beijing Normal University. I'm working on modeling complex systems using machine learning techniques (especially deep learning). My research interests are in machine learning on networks. In addition, I am particularly interested in topics related to emergence.
      
     Visiting Scholar (PhD)   

Former Members/Visiting Scholars


Postdoctoral Researcher(s)


       Riccardo Gallotti
Postdoctoral Researcher

      Valeria D'Andrea
Postdoctoral Researcher
      Paolo Emilio Trevisanutto
Postdoctoral Researcher

      Massimo Stella
Postdoctoral Researcher

PhD(s)


       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

      Ivana Bachmann
Visiting Scholar (PhD)
      Obaida Hanteer
Visiting Scholar (PhD)

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
      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

Invited/Visiting/Collaborators