Industrial AI Laboratory
Research
Research Area
I Engineering-tailored Generative AI for Novel Discovery
Our research focuses on developing generative AI to revolutionize engineering processes by facilitating the development of diverse and high-fidelity designs. Our approach also enables the generation of various design recommendations, customized to meet specific engineering property requirements and address multiple aspects of generated designs including generalizability and manufacturability. By incorporating our innovative methods, engineers are empowered to investigate a wider range of design possibilities, thereby expanding the horizons of innovation and efficiency in engineering solutions.
I Neural Data Generation
The burgeoning field of generative AI can offer promising solutions to the pervasive issue of data scarcity in a range of domains through synthetic data augmentation. We also have an interest in advancing generative AI methods to improve data quality, transitioning measurements from low to high fidelity across diverse applications.
