Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization
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Pietro Centorrino obtained a bachelor degree in Physics and Advanced Technologies in 2017 at University of Siena, Italy, and a master degree in Physics in 2020 at Sapienza University, Rome, Italy. His research fields concern modelling of biological system, optimization problems, forecasting simulations and STEM education.
Alessandro Corbetta is a university researcher at the Department of Applied Physics at Eindhoven University of Technology. His research activity is at the interface between complex flowing matter, physics for society and machine learning for nonlinear physical systems. Since 2012, in the context of the “Crowdflow” topical group, is interested in furthering our fundamental understanding of pedestrian crowd flows. He aims at quantitative models for the emergent physics of crowds to allow safer and more efficient pedestrian environments. He is furthermore active in the application of recent machine and deep learning techniques to the analysis of chaotic and turbulent dynamics.
Emiliano Cristiani is senior researcher at Istituto per le Applicazioni del Calcolo “Mauro Picone”, National Research Council of Italy. His research focuses on mathematical models and methods for the simulation of collective behaviour (vehicular and pedestrian traffic, animal groups), numerical solution of hyperbolic PDEs, and Hamilton-Jacobi equations with application to optimal control theory and differential games. He has 15+ year research experience and 50+ peer reviewed publications.
Elia Onofri obtained a bachelor degree in Mathematics in 2018 and a master degree in Computational Sciences in 2020 at Roma Tre University, Rome, Italy. Currently he is a Ph.D. student in Mathematics at Roma Tre University, under a collaboration with the National Research Council of Italy. His research fields concern applied mathematics in cryptography, machine learning, biology and forecasting simulations.