Research

The research work in our group focuses on physical laws and mathematical methods that can be used to solve problems in electrical engineering. These include cryoelectronics, direct numerical field calculation and source reconstruction, modeling alternatives for the calculation of electromagnetic fields and the field of pattern recognition and machine learning. This is associated with a clear application and practical relevance, which is reflected in the current projects. The advanced electromagnetics group maintains research partnerships on a national and international scale to improve the transfer of research results and to align the research focus with industrial and social requirements. As a contribution to strengthening the Ilmenau technology region, attractive offers to industrial and research partners for solving current issues are to be prepared and made available.

 

Cryoelectronics

  • superconducting circuits for quantum electronics and quantum sensors
  • bioinspired neuromorphic electronics

For further information please visit the cryoelectronics page.

Direct numerical field calculation and source reconstruction

  • Numerical calculation of bioelectric and biomagnetic fields: Electrocardiography, Magnetocardiography, Electroencephalography, Transcranial magnetic stimulation.
  • Inverse methods in bioelectromagnetism
  • Development of new forward and inverse methods for non-destructive material evaluation: Lorentz force eddy current testing
  • Development of methods for the fast solution of systems of equations with many variables
TU Ilmenau/Bojana Petkovic
TU Ilmenau/Thomas Reum

Modeling alternatives of electromagnetic fields

  • Representation types of field components and their sources with a focus on wave propagation
  • Investigation and extension of conventional and unconventional potential formulations
  • FEM simulations with regard to feasibility and performance

Pattern recognition and machine learning

  • Application of machine learning / artificial intelligence methods for signal and pattern recognition
  • Focus on the orientation of resource-limited embedded electronic systems in the sense of edge computing