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Intelligent Modeling Lab
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A computational science lab that uses mathematical models, simulation, and AI to understand phenomena.
AboutAbout the lab
Accelerating scientific discovery with simulation and AI.
The Intelligent Modeling Lab conducts research on understanding natural and social phenomena through mathematical models and simulation.
Extracting and modeling the key mechanisms makes it easier to grasp the essence of a phenomenon, and is also useful for analyzing flows, heat, the movement of people and goods, and the spread of information.
The lab is also interested in frameworks for large language models (LLMs) and researchers to collaborate, and explores how AI can be used for building models, organizing hypotheses, and similar tasks.
On the lab's website, it is presented under the name Artificial Intelligence and Modeling Laboratory (AIML).
Key terms
- Mathematical model
- A representation that extracts the important mechanisms from complex reality. It makes it easier to grasp the essence of a phenomenon.
- Adjudication load
- The load of judging which specification document a problem found in a review should be reflected in, whether human approval is needed, and so on.
- Tensor train decomposition
- A decomposition method used to efficiently compress and analyze huge multidimensional data.
- 3D-IC
- An integrated circuit stacked in three dimensions.
NewsLab news
View More ↗ResearchResearch themes
The lab aims to combine mathematics, computation, and AI to understand complex reality more deeply and turn that understanding into knowledge useful to society. Its research page presents a review platform for LLM-based development, compression of large-scale data, modeling of wind turbine wakes, thermal design of 3D-ICs, and more.
*Illustrative imageA Review Platform for LLM-Based Development
ReviewCompass is a review platform that reduces the "adjudication load," such as checking specification consistency and making approval decisions, in specification-driven development using LLMs. It supports not only finding problems but also deciding at which stage to fix them and whether to pass them to human judgment.
*Illustrative imageTensor Train Decomposition for Large-Scale Data
To efficiently compress and analyze huge multidimensional data, the lab works on parallel-computing tensor train decomposition methods that remain usable as the scale grows.
*Illustrative imageModeling Wind Turbine Wakes
This research represents the flow behind a wind turbine (the wake), and how wakes affect one another within a wind farm where multiple turbines are arranged, using surrogate models built by genetic programming with LLMs.
*Illustrative imageThermal Design of 3D-ICs
The lab works on fast thermal simulation that can be used in the early stages of 3D-IC design. It also covers predicting locally high-temperature spots (hotspots) and optimizing cooling.
MembersFaculty
The members of the Intelligent Modeling Lab are faculty and students in the doctoral program, master's program, and undergraduate program.As of 2026
- ProfessorKenji Ono
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Virtual Universes” OLCF / CC BY 2.0 (cropped)
- A Review Platform for LLM-Based Development: “Software development methodologies” Marcel Douwe Dekker / CC BY-SA 3.0 (cropped)
- Tensor Train Decomposition for Large-Scale Data: “Rubik's cube 3” Madhurgupta10 / CC BY-SA 4.0 (cropped)
- Modeling Wind Turbine Wakes: “Wind turbines, Wind farm, Wind power, Mirny, Crimea” Vyacheslav Argenberg / CC BY 4.0 (cropped)
- Thermal Design of 3D-ICs: “Ambiano thermal coffee machine - controller board-47506” Raimond Spekking / CC BY-SA 4.0 (cropped)
- Related lab (3D Multimedia Content Lab): “3d-design-floor-plan-coloured” Tallbox / CC BY-SA 4.0 (cropped)
- Related lab (Image and Media Understanding Lab): “Moskovskaya” Artyom Svetlov / CC BY-SA 4.0 (cropped)
- Related lab (Intelligent Software Engineering Lab): “Programmers” Lbronn / CC BY-SA 4.0 (cropped)
- Related lab (Hacking Reality Lab): “InclusiveGameLab Person-Playing-Virtual-Reality 12 CC-BY-SA” InclusiveGameLab / CC BY-SA 4.0 (cropped)
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