Research Focus 3

Life Science, Automation and Information Technology

This subject area develops concepts, methods and technologies that manifest themselves in interoperable solutions via appropriately networked infrastructures, applications and data, temporarily or permanently as required, with a focus on innovative production, process or digital ecosystems.

Subject Area (DFG Classification of Subject Areas):

  • Biology
  • Computer Science, Systems and Electrical Engineering
  • Materials Science and Engineering
  • Mechanical and Industrial Engineering
  • Medicine

Keywords:

  • Big data and AI applications
  • Secure and networked systems
  • Mechatronics
  • Medical engineering
  • Health
  • Autonomous systems

Research Projects

Project period:

Intelligent Fault Management

The aim of Intelligent fault management is to develop a new generation of intelligent fault management based on the technical possibilities of I4.0.…

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