Modeling for EMC: From Physics to AI
In January IEEE Spectrum published its 2025 Tech Impact Study with the headline: “For the second year in a row, top tech leaders selected artificial intelligence as the most important current technology” – truly outstanding … but really surprising!? Since ChatGPT-3.5 was released in November of 2022 hardly a month passes by without news of a novel online tool based on AI or an announcement of a multi-billion-dollar investment in an AI related company or data center. What does all that mean for EMC engineering, i.e. what are the implications for how we design, test, debug, and optimize to achieve Electromagnetic Compatibility, Signal Integrity, and Power Integrity for electronic components and systems?
In this EMC Professional talk that follows my keynote contribution to the APEMC Conference I will summarize what answers we at Hamburg University of Technology (TUHH) – together with partners – have found to these questions over the past few years. The contribution will focus on the “modeling” part of EMC engineering, i.e. the generation and usage of models to understand, predict, and mitigate EMC-related phenomena. For this I will contrast the usual “physics-based” approach with the new “data-based” or “AI-based” approach and draw conclusions from that.
Speaker:
Christian Schuster, Professor, Hamburg University of Technology (TUHH), Germany
Chapter:
IEEE German EMC Chapter
Date & Time:
Dec. 18, 2025 • 10:00AM – 11:00AM ET