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Chair: Lijun Jiang, Missouri University of Science and Technology
Co-Chair: Alistair Duffy, De Montfort University
Co-Chair: Hanzhi Ma, Zhejiang University
Machine learning is profoundly impacting the landscape of every technology domain, including signal integrity, power integrity, EMC, and EMI engineering. This tutorial is for entry-level audiences who are interested in machine learning. The topics in this tutorial will practically guide audiences through the fundamentals of machine learning methods, resources needed for using machine learning methods, and successful application examples for EMC society. The invited speakers are frontier experts who have practical experience in machine learning method development and applications. This tutorial will aim to draw broader attention and guide hands-on experiences of machine learning for EMC/EMI, SI and PI technologies. This special session is sponsored by IEEE EMC Special Committee SC3 “Machine Learning and Artificial Intelligence in EMC and SIPI” and welcomes audiences from all IEEE EMC Technical Committees.
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