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Please note that all times are shown in the time zone of the conference. The current conference time is: 25th Aug 2025, 12:21:20am CEST
Artificial Intelligence and Machine Learning in EMC
Time:
Tuesday, 02/Sept/2025:
11:20am - 12:50pm
Session Chair: Dr. Richard Xian-Ke Gao, Institute of High Performance Computing, Singapore Session Chair: Dr. Niek Moonen, University of Twente, Netherlands, The
Location:Room 108
120 seats, Tower 44, 1st floor
Presentations
An Empirical Evaluation of Machine Learning for Anomaly Detection in Electromagnetic Compatibility
Pablo Ruiz-Morales1,3, Klaas Pluvier2,3, Dries Vanoost2,3, Davy Pissoort2,3, Mathias Verbeke1,3
1Declarative Languages and Artificial Intelligence (DTAI), M-Group, KU Leuven, Bruges, Belgium; 2ESAT-WaveCore, M-Group, KU Leuven, Bruges, Belgium; 3Flanders Make@KU Leuven, Belgium
Machine Learning Supported Detection of Incoupling Interfering Signals Through Autoencoders
Ilda Cahani, Rebecca Ueltzen, Mohammed ElSayed, Erik Kampert, Marcus Stiemer
Helmut-Schmidt-University, Germany
Graph Neural Network Assisted Decoupling Capacitor Optimization for Power Distribution Networks in Heterogeneous Integration
Wenzu Zhang1, Richard Xian-Ke Gao1, Enxiao Liu1, Dingjie Lu1, Jun Liu1, Mihai D. Rotaru2, Dutta Rahul2, N. Sridhar1
1Institute of High Performance Computing, A*STAR, Singapore; 2Institute of Microelectronics, A*STAR, Singapore
LSTM-Based Anomaly Detection for Sensor Data Affected by Electromagnetic Interference
Rebecca Ueltzen, Ilda Cahani, Mohammed ElSayed, Erik Kampert, Marcus Stiemer
