Project: Visual Analytics for System-Level Simulations

Description

Extracting insights to digitally design our cutting-edge scanners

We have models to run simulations of different systems and their sub-components, which allows to optimize configurations for the scanner to achieve a given objective.

The data generated by the models is however multidimensional data (dozens of dimensions) and difficult to analyze effectively. In our implementation, a Parallel Coordinate Plot (PCP) is used in combination of other charts.

In this project, the student will be tasked to develop new advanced visualization to extract valuable insights from the simulations. Automatic extraction of relevant patterns, such as correlated dimensions, is in scope for the project.

The student will work directly into our platform, giving the opportunity to make a direct impact with her/his work.

Requirements / Skills

(Advanced) Visualization knowledge

(Basic) SW Engineering skills

Javascript visualization libraries (e.g., D3.js)

React

Expected Deliverables

A set of visualizations in React.js to analyze the data generated by the Virtual Scanner

The project will be supervised by Nicola Pezzotti at ASML Research and Stef van den Elzen and/or Anna Vilanova at TUe. The student is expected to be at ASML in Building 7 for 3 days a week

Details

Supervisor: Stef van den Elzen
Secondary supervisor: Anna Vilanova
External location: ASML
Interested?: Get in contact