Younes EL MOUSTAKIME (PhD student at Xlim Research Institute, France – EMIMEP Associated Partner) delivered a talk entitled « Artificial intelligence (AI) synthesis of nonlinear matching networks for the design of analog linearized CMOS/BiCMOS power amplifiers » on October 23rd, 2025.

Bio. Younes EL MOUSTAKIME is a PhD student at XLIM, University of Limoges, working on AI-assisted design of RF and microwave circuits. His research focuses on applying machine learning and optimization methods to automate the design and adaptation of Ka-band power amplifiers. He collaborates with Duoverse, a startup specializing in AI-driven simulation acceleration and optimization for electronic systems. He received his M.S. degree from the University of Limoges in 2023/2024 in High Technologies, Electronics, and Photonics.

Abstract. The thesis focuses on the design of a Ka-band power amplifier with AI-assisted impedance matching for improved linearity and efficiency. By training AI models on simulated datasets, the amplifier will be able to determine optimal load impedances and adapt its operation autonomously. The outcome aims to establish an Intelligent Integrated System (IIS) capable of maintaining high performance and robustness in Ka-band satellite communication (SATCOM) applications.