The Integrated Design Innovation Group at Carnegie Mellon University, led by Jonathan Cagan, focuses on the early design and problem solving process. Our research on computational tools, cognitive methods, and product development practice merges design theory and computational modeling. This work spans:
- Computational representation and smart generative search
- Cognitive and neural psychology of individuals and teams during creative design and problem solving
- AI and Machine Learning applied to design, problem solving and diagnostics, including deep learning, agent search and rule-based induction
- Design of AI/human hybrid teams, and the development of AIs that augment team performance
- Emerging technologies to result in new approaches to solving hard engineering problems
We actively collaborate with psychologists, biomechanists, and technologists. We span theory and practice, with applications and insights in the areas of product design, synthetic biomechanical design and diagnostics, renewable energy, additive manufacturing and other emerging technologies.