Distinguished Lecturer (DL) Talk by Prof. Xing-Chang Wei
Distinguished Lecture (DL) by Prof. Xing-Chang Wei titled: “Can You Identify an Electromagnetic Photo? – Electromagnetic compatibility (EMC) Analysis Enhanced by Artificial Intelligence (AI).”
AI has emerged as a powerful tool in electromagnetic analysis, with notable applications in microwave and antenna design. The radiated near-field can be seen as an “electromagnetic photo” of an electromagnetic interference (EMI) source, revealing information such as far-field radiation, coupling, and source characteristics. Since electromagnetic waves are invisible, interpretation is difficult, but AI’s image-recognition capabilities enable efficient extraction of these features for improved EMI analysis.
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- Spoorwegstraat 12
- Bruges, West-Vlaanderen
- Belgium 8200
- Building: KU Leuven, Bruges Campus
Speakers
Wei
Can You Identify an Electromagnetic Photo? – EMC Analysis Enhanced by AI
AI has emerged as a powerful tool in electromagnetic analysis, with notable applications in microwave and antenna design. The radiated near-field can be seen as an “electromagnetic photo” of an electromagnetic interference (EMI) source, revealing information such as far-field radiation, coupling, and source characteristics. Since electromagnetic waves are invisible, interpretation is difficult, but AI’s image-recognition capabilities enable efficient extraction of these features for improved EMI analysis.
Biography:
Xing-Chang Wei received the Bachelor, Master, and PhD degrees in the electromagnetic field and microwave engineering from Xidian University, China, in 1995, 1998, and 2001 respectively. From 2001 to 2010, he was with the A*STAR Institute of High Performance Computing, Singapore, as a Research Fellow, Senior Research Engineer, and then Research Scientist. He was the visiting scholar of University of Illinois Urbana-Champaign in 2015. In 2010, he joined Zhejiang University, China, as a Full Professor. He currently also serves as a Distinguished Lecturer of the IEEE EMC-S for the 2025–2026 term.
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Address:China