AI for IC Research Vision

My vision is to use AI to explore, design, and optimize integrated circuits, discovering new architectures and extending achievable performance. I am particularly interested in physics-inspired neural models that combine physical understanding with data-driven learning, graph neural networks for circuit design, and inverse design methods for exploring nonintuitive circuit architectures. These approaches will be evaluated and validated through circuit simulations and experimental measurements.

Open-Source

I will share open-source tools, code, and learning resources here as this research develops.