The EMC Society Podcast: Hear Us Above the Noise

#5 CROSSTALK - IEEE EMC Society Podcast - Christian Schuster: Machine Learning and EMC

October 15, 2021 IEEE EMC SOCIETY Season 1 Episode 5
The EMC Society Podcast: Hear Us Above the Noise
#5 CROSSTALK - IEEE EMC Society Podcast - Christian Schuster: Machine Learning and EMC
Show Notes

 Welcome to the CROSSTALK - the IEEE EMC Society Podcast. Hear us above the Noise!
The Podcast to discuss interesting topics on electromagnetic compatibility to our technical community. 

In this issue we will talk with Christian Schuster. Christian is head of institute of electromagnetic theory and full professor at Hamburg University of Technology (TUHH).
 He speaks about EMC engineering and machine learning (ML).
 
 Learn about ML in the following papers:

A New ANN-Based Modeling Approach for Rapid EMI/EMC Analysis of PCB and Shielding Enclosures
https://ieeexplore.ieee.org/abstract/document/6313901

Eye-height/width prediction from S-Parameters using bounded size training set for ANN
https://ieeexplore.ieee.org/abstract/document/7030804

Modeling and Optimization of EMI Filter by Using Artificial Neural Network
https://ieeexplore.ieee.org/abstract/document/8891888

SI/PI-Database of PCB-Based Interconnects for Machine Learning Application
https://ieeexplore.ieee.org/abstract/document/9361755

Find our more about the SI/PI Database:
https://www.tet.tuhh.de/en/si-pi-database/