Special Topics in Electromagnetics 〈Generative AI Models for Engineering Design〉

In the course, basic model architecture and training principles of mostly advanced machine leaning algorithms and their applications will be introduced. The class will cover the Convolution Neural Network, Recurrent Neural Network, Reinforcement Learning as well as transformer network and generative models, especially used in GPT. In addition, these advanced transformer models will be used to estimate designs, and to optimize the high performance engineering systems, including antenna, circuits, devices, wireless power transfer systems, packages, and semiconductors. These application examples will be followed with discussions.