AI-Enhanced RF/Mixed-Signal Circuits for Reliable Operations

Abstracts: AI-driven design and optimization are revolutionizing RF and mixed-signal circuits for operation in extreme environments, including high radiation and wide temperature ranges. This talk explores the use of reinforcement learning (RL) and generative models to improve circuit robustness and adaptability. RL-based self-healing techniques leverage embedded electromagnetic sensors for real-time monitoring and dynamic fault recovery, while generative models accelerate design space exploration, enabling resilient and efficient circuit topologies. The presentation will highlight AI-enhanced designs such as adaptive power amplifiers, PMICs, and multispectral sensors that enhance performance and reliability in harsh environments. Speaker(s): Vanessa Chen, Agenda: Day: Wednesday, July 30, 2025 Time: Registration & Networking 6:00 PM – 6:30 PM Presentation 6:30 PM – 8:00 PM Q&A and Networking 8:00 PM – 8:15 PM Fee: Free for all the IEEE & SSCS members, students, engineers in transition, technologists, as well as those who are exploring to join IEEE & SSCS in the future. Address: Custom Silicon Solutions (CSS), 18021 Cowan, Irvine, CA 92614, USA. Parking: Free Parking available in the permitted & unmarked spaces. 18021 Cowan, , Irvine, , California, United States, 92614