In the SI-Lab, innovation areas formulate important fields for shaping the digital society, to which we want to make an interdisciplinary, innovative and sustainable contribution.
Advanced Computing
Advanced computing stands for the use of advanced technologies and concepts to master complex tasks in information processing (e.g. high-performance computing, quantum computing, edge computing). The aim is to combine specific computer systems and innovative algorithms in order to solve challenging problems.
Digital sovereignty is an increasingly important topic in today's digital world. It refers to the ability of individuals, companies and states to control their own digital infrastructures and data flows independently and in a self-determined manner.
The development of digital technologies should enable people to live and work independently. Offerings such as social networks, streaming services and hybrid working are part of this. However, the promise of empowerment harbours challenges.
Future mobility means seamless, sustainable mobility chains - independent of your own car. The innovation area uses AI, IoT and digital platforms to research how technical innovations and user needs can be brought together to drive forward the mobility revolution.
Data-driven solutions for sustainable energy systems - from technical operational planning to economic services. The aim of the innovation area is to enable players in the complex energy system to act effectively with targeted information.
In interdisciplinary teams, we develop sustainable digital solutions that combine ecological, social and economic goals. In doing so, we address issues such as resource efficiency, data protection and ethics in order to shape a responsible and resilient digital future.