Deep Learning for Observational Cosmology – DLOC

Deep Learning for Observational Cosmology – DLOC Co-PIs: Dr. Tomasz Kacprzak (ETH Zürich) Dr. Aurelien Lucchi (ETH Zürich) Prof. Alexandre Refregier (ETH Zürich) Prof. Thomas Hofmann (ETH Zürich) Problem: Building on the latest developments in machine learning in...

Data Science Enabled Acoustic Design – AADS

Data Science Enabled Acoustic Design – AADS   Co-PIs: Matthias Kohler (ETH Zürich) Fabio Gramazio (ETH Zürich) Jürgen Strauss (Strauss Electroacoustic GmbH) Kurt Eggenschwiler (Empa) Problem: Acoustic design is often neglected in the majority of the built environment....

Context-Aware Mobility Mining Tools – COMMIT

Context-Aware Mobility Mining Tools – COMMIT Co-PIs: Dr. Martin Raubal (ETH Zürich), David Jonietz (ETH Zürich) Problem: Current methods for mining movement trajectories in order to analyze our mobility behavior   omit the movement’s context (e.g., weather,...