Crowd dynamics
As part of the JST Kanda CREST project
My research in ATR focused mainly on the study of the behaviour of crowds. With my research group, we have collected a large amount of data concerning the behaviour of pedestrians in realworld environment, which I used to develop original models of pedestrian and crowd dynamics. More in detail, the major findings regarded:
 The need to include a velocity dependent potential in a collision avoiding model for pedestrians, and the development of a corresponding mathematical and computational model [EPL 2011 ].
 The finding that (Japanese) pedestrians have a tendency to walk on the left side of corridors, and to overtake other pedestrians on the right side, and the development of a method to introduce in a realistic way such a tendency in any pedestrian collision avoidance model [Plos 2012, PED 2014, PED 2012].
 The finding that large pedestrian groups are not stable, and usually break up in more stable 2 or 3 pedestrian subunits [CogSci 2013].
 The development of a mathematical model for the behaviour of social pedestrian groups, which was able to correctly predict the shape and velocity of pedestrian groups in low density, large environments [Physical Review E 2014].
 The empirical study and mathematical modelling of how crowd density and other environment features affect the behaviour of pedestrian groups [EPL 2015, Physical Review E 2015, PED 2014].
Discrete chaotic systems
Analysis of the effect of noise on discrete maps, in collaboration with S. Vaienti and G. Turchetti
The research activity was focused on the analysis of the effect of noise on discrete maps, and in particular on the identification of a method that allows to find a threshold beyond which the numerical results on chaotic maps are not reliable, and on the analysis of the differences between the effect of random noise and the effect of numerical roundoff on the dynamics of the map [Physica A 2010, EPL 2010, CHAOS 2009].
Evolutionary dynamics of agent systems
Microscopic Dynamics of Artificial Life Systems (Ph.D. graduation thesis, supervisor G. Turchetti, and in collaboration with T. Arita)
The research activity was mainly focused on the study of systems composed of many independent parts provided with some form of perception and data processing capability (agents). The purpose of this research was to combine an Artificial Life approach in which agents could adapt to the environment with
a mean field approach based on differential equations that could describe the dynamics of macroscopic observables. Using this approach I studied the following problems:
 I developed a cellular automata model of the Tcell clonal expansion in the Immune System, and the corresponding mean field model, and I compared the results obtained by using these two approaches [MMBS 2008].
 Using agent simulations and a replicator dynamics differential approach, I studied the relation between the evolution of collision avoidance strategies and the evolution of the Theory of Mind (ability to understand that also other people have a mind) [ACS 2007, ALEC 2008, ECCS 2007].
 Combining a cellular automaton model and a replicator dynamics analysis, I studied the evolution of “traffic conventions” (such as driving on the left or right side of streets) in a mobility system [ACS 2008, ALR 2008].
 Using both computational and analytical methods, I studied the consequences of the fact that interactions dependent on vision (such as the collision avoidance in crowd dynamics) do not follow the actionreaction law of dynamics [EPL 2007].
Socially acceptable mobile robot navigation
As part of the JST Kanda CREST project
While working at ATR I have been also involved in more engineering oriented works, such as the development of a robot able to smoothly navigate inside a human crowd [IJSR 2014, SIMPAR 2012, ROMAN 2012], and the development of algorithms to automatically detect pedestrian walking goals [RSS 2013] and pedestrian groups [Sensors 2013, ICRA 2012].
Numerical study of statistical properties of relativistic fields
Numerical study of the ultraviolet cascade in φ4 classical model (Laurea graduation thesis, supervisor C. Destri)
Using a numerical algorithm, time and space are treated in a symmetrical way, preserving thus the relativistic structure of the field theory, and conserves energy at machine precision, to study the energy diffusion to the higher (ultraviolet) modes of a relativistic scalar field with a quartic interaction term. The results were compared with a more traditional numerical treatment of hyperbolic partial differential equations.
