IMS 2023 Presentation Series: Artificial Intelligence And Machine Learning For RF And Microwave Design
Have you ever thought about attending an advanced paper presentation, but realized you didn’t know the basics? This year, you’ll be able to start learning about some of the most relevant and exciting topics at the IEEE Microwave Theory and Technology Society International Microwave Symposium (IMS) before the conference even starts.
A series of online video presentations will be available for all registered attendees to watch prior to the show. The presentations will be hosted by industry experts and are designed to give an overview of key topics and tracks that will be featured at IMS2023.
In the first installment of this series, Dr. Jianjun Xu, Senior Machine Learning Engineer at Keysight Laboratories, presents on artificial intelligence and machine learning for RF and microwave design and practical technologies for present and future applications.
Speaker Bio: Dr. Jianjun Xu is recognized internationally as a leading innovator of advanced artificial neural network (ANN) technology and its practical applications to a wide range of microwave and RF engineering problems. He is presently Senior Machine Learning Engineer at Keysight Laboratories, Keysight Technology, Inc., in Santa Rosa CA. His ANN research has been integrated into leading commercial simulators and measurement-based design flows, including transistor characterization and nonlinear modeling of GaAs and GaN FETs, cryogenic CMOS devices, lithium-ion battery models, TCAD-to-circuit links, and more. Dr. Xu received the Ph.D. Degree in Electrical Engineering from Carleton University, Ottawa, Canada, in 2004, and is a frequent technical reviewer for the IEEE on topics of AI/ML and ANNs.