Automated Evaluation of Physics- and Data-Based Approaches for SI and EMI Optimization in Cable and Connector Assemblie
Funding: European Union / PATTERN – European Doctoral Network (MSCA) Enabling Artificial Intelligence for Electromagnetic Compatibility, Grant agreement ID: 101169295
Contakt: Mikheil Kvizhinadze, M.Sc
Start: 03.11.2025
The EU project PATTERN, a Marie Skłodowska-Curie Doctoral Network, stands for “European Doctoral Network Enabling Artificial Intelligence for Electromagnetic Compatibility.” It is funded by the Marie Skłodowska-Curie Actions of the European Union and brings together nine academic partners, including TUHH.
This project aims to automate and evaluate physics-based and data-based approaches for the prediction and optimization of signal integrity (SI) and electromagnetic compatibility (EMC) of cable and connector assemblies – in collaboration with Rosenberger and Prof. Dr. Matthias Mnich from the Institute for Algorithms and Complexity (TUHH).
