Data.Matrix Aesthetics is a compilation of visual explorations within the sonic universe. It brings together a collection of artworks that offer distinct, static interpretations of Data.Matrix — a composition by audiovisual artist Ryoji Ikeda. The resulting outputs take the form of abstract and unconventional portraits, primarily driven by deterministic systems rooted in the analysis of sound components.
João Carvalho Neves







This project is part of the Computational Design Laboratory course in my master's program. You can access the code
here.
University of Coimbra, 2023