Featured Speakers & Sessions

This keynote presents a framework for AI-driven circuit design leveraging GB300 computing architecture. Massive open-source codebases, semiconductor textbooks, and project files from platforms like GitHub feed advanced models that employ supervised fine-tuning, knowledge distillation, and reinforcement learning through a multi-agent architecture. Agents function as architectural planners, code writers, and debugging experts, iteratively generating designs tested via Icarus Verilog and Yosys. The pipeline integrates evolutionary computing and incorporates security measures against hardware Trojans, side-channel attacks, and IP piracy.

Professor Lin holds a Ph.D. in Computer Science from the University of Washington (1990). After serving as Research Scientist at Bell Communications Research until 1995, he joined National Chiao Tung University and recently transitioned to China Medical University, where he serves as Chair Professor. He has authored nearly 500 journal papers, over 200 conference papers, and 60+ patents across multiple countries. He holds fellow status with IEEE, ACM, AAAS, and IET, and received the TWAS Prize in Engineering Sciences (2011) and the K.T. Li Honorary Scholar Award (2023).