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Yidong and Song Hang will start in Fall 2024! We are excited to have you join UT-ACE!

Our work on using physics-augmented machine learning for RFIC design automation is accepted for publication in ICCAD’24 — a premier conference in EDA! This work is a collaboration between UTACE and UTDA.

Welcome to UT-ACE lab! Our research is at the intersection of integrated circuits and systems, EM/antennas, and packaging for the next-generation wireless communication, sensing and imaging applications. We aim to invent new circuit topologies/theories and exploit a holistic co-design approach across system stacks (e.g., CMOS+X) to address the fundamental challenges faced by today’s electronic circuits and systems.