Starting from precise mathematical models of the data, the Applied Data Science Lab (ADSLab) utilizes not only classical methods but also new approaches in deep learning. The goal is to develop applications that harness the knowledge represented in the data to make decisions, make predictions, or discover new structures. The entire processing chain is covered, from data acquisition to application usage. This research area intersects with almost all degree programs in the department, particularly the joint master's program in Joint Masterstudiengang Applied Image and Signal Processing with the University of Salzburg.

The ADSLab has conducted numerous research projects in recent years and maintains a close collaboration with the University of Salzburg, especially through its involvement in the IDALab.