DIGIT Lab

In the Design Innovation & Generative Intelligence (DIGIT) Lab, we study how AI can design better materials, structures, and machines. Our research focus extends beyond model performance and efficiency, exploring how AI can fundamentally advance design across four key dimensions:

1. Complexity: How can AI unlock design complexities that are fundamentally inaccessible to traditional methods?
2. Trustworthiness: How can we develop AI-driven design methodologies that engineers can trust?
3. Discoverability: How can AI discover new knowledge that expands human understanding and guides design innovation?
4. Creativity: How can AI enable or accelerate the discovery of “out-of-the-box” design solutions and become a true inventor?

Guided by these fundamental questions, we develop computational methodologies for design ideation, generative design, and design for X (“X” can represent manufacturing, sustainability, reliability, and beyond) across diverse engineering domains.