About Our Laboratory

日本語版: 研究室紹介 (JP)

Our laboratory studies natural and social phenomena through mathematical modeling and simulation, while also exploring how AI can enhance the research process itself. Real-world systems are complex, but by extracting their essential mechanisms and expressing them as models, we can better understand their underlying structure. This approach is useful not only for natural phenomena such as fluid flow and heat transfer, but also for social phenomena such as the movement of people and goods and the spread of information. In addition, we are interested in building frameworks that enable researchers to collaborate effectively with large language models (LLMs). We investigate how AI can support model building, interpretation, hypothesis development, and scientific communication in ways that are both reliable and transparent. By combining mathematics, computation, and AI, we aim to deepen our understanding of complex systems and generate knowledge that can contribute to society.

What is Intelligent Modeling Laboratory (IML)?

The Intelligent Modeling Laboratory (IML) was an interdisciplinary research and education center established at the University of Tokyo in 1995. The principal investigator of this laboratory was affiliated with IML from 2001 to 2005 and was also involved in its operation.

At IML, research in artifact engineering was conducted based on the concept of intelligent modeling, utilizing supercomputers and an advanced six-sided VR visualization system known as “CABIN.” The approach of modeling complex phenomena and understanding them through computation and visualization remains closely aligned with today’s computational science and AI research.

Although IML concluded its activities in 2011, its underlying philosophy continues to be relevant. This laboratory inherits and further develops that vision, adopting the name “IML” in recognition of its legacy.