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Recruiting highly motivated MS / Ph.D. students for September 2026! Priority given to Ph.D. and Integrated M.S. & Ph.D. applicants — contact with CV.
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AI-aided Design
Automation Lab

Merging machine learning with semiconductor design to build the EDA tools and methodologies of the next generation.

ML / EDA GNN · RL · Transformer DTCO Std. Cell · Layout PEX Neural Operators RL-OPT Circuit Opt. ADVANCED NODE GAA Nanosheet · CFET sub-3 nm · PDK · LVS/DRC

News & Announcements

About the Lab

The AI-aided Design Automation (AIDA) Lab is a research group at Kyung Hee University (Yongin, Korea), led by Prof. Suwan Kim. We work at the intersection of machine learning, optimization, and electronic design automation (EDA), building intelligent algorithms that automate and accelerate semiconductor design.

Our mission is to reduce design cycles and improve power-performance-area (PPA) tradeoffs by embedding AI/ML into every stage of the EDA flow.

We collaborate closely with industry and leading research groups, targeting advanced algorithms in machine learning and AI.