The Workflow Designer is a prototype web-based application allowing drag-and-drop creating, editing, and running workflows from a predefined library of methods. Moreover, any workflow can be exported or imported in JSON format to ensure reusability and local execution of exported JSON configurations. The application is primarily focused on electroencephalographic signal processing and deep learning workflows.

Currently, the entire Workflow Designer system (workflow system, deep learning models, server) is based on Java. The aim of this project is to transfer the deep learning workflow related blocks/models and backend technologies from Java to Python and allow executing workflow blocks (methods) implemented in Python, using e.g. MNE for EEG signal processing, or TensorFlow for deep learning.



Ronak Doshi


  • Lukas Vareka
  • Roman Mouček