Renato Fabbri

Has experience with physics, computing, mathematics, arts, free technologies and knowledge. Provided a psychophysical description of music in digital audio, accompanied by computational implementations of each relation described (condensed as an MSc dissertation and enhanced as an article). Doctor in Computational Physics with a thesis on Complex Networks, Text Mining, Data Visualization, and Linked Data applied to Social Network Analysis in which he evidences stability in human social networks and differentiation among the text produced by the sectors of hubs, intermediates, and peripherals. Also appreciates signal processing and human cognition. Current research partners include philosophers, social scientists, psychologists, computer scientists, and physicists. Currently interested in brainwave entrainment through audiovisual media, biofeedback and information dissemination for social transformation. (Source: Lattes Curriculum)