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Gabriel Spadon

Gabriel Spadon is a Ph.D. candidate at the University of Sao Paulo, Brazil. His research focus is the analysis and characterization of real-world systems in the form of complex networks. He has published on topics in knowledge discovery in graphs and data-driven decision making. He is presently working on the analysis and optimization of urban systems using complex networks, data mining, and related concepts.

Using Computational Models To Improve Street Planning

Nowadays, we are continually facing mobility issues caused by the high number of circulating automobiles and people. These issues are more familiar to large cities, such as metropolis and megalopolis, but we can already note locomotion issues to a lesser […]