WSC: AI/ML for Next-Generation Microwave Design and Modeling: From Devices to Systems

Presentation Abstract
As the world rapidly embraces Artificial Intelligence (AI) and Machine Learning (ML) across various industries, the key question arises: how can we best leverage AI/ML to transform our own field? This workshop addresses this critical question by highlighting cutting-edge research from industry and academia experts who are using AI to transform microwave design. With new techniques emerging at an unprecedented pace, the workshop will shine a light on their revolutionary potential in RF and microwave engineering. The focus is on how AI is streamlining design processes, optimising results and enhancing productivity, ultimately helping engineers to navigate increasingly complex challenges in ways that were previously not possible. Our six distinguished speakers, all pioneers in their respective areas, will present a comprehensive view of AI’s role in advancing the entire spectrum of microwave engineering, including topics such as device modeling (including GaN PA), component synthesis (together with inductor, transformer and other passives), circuit (including RFIC and MMICs) and system design, performance optimisation (like PA linearisation) and electronic design automation (EDA) covering RF to THz frequencies. Attendees will gain valuable insights into how AI/ML is reshaping the future of microwave engineering, providing the tools and perspectives needed to stay ahead and empowering innovation and realisation of advanced devices to highly integrated modules/systems, enabling applications for 5G, 6G and beyond.