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Itoi-Koyama Lab
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The lab connects science, engineering, and society to manage the risk of natural disasters.
AboutAbout the lab
Learning from disaster risk toward a society that grows stronger.
The Itoi Lab conducts research on assessing and managing the risk of natural disasters such as earthquakes and tsunamis.
The lab develops methodologies for evaluating building performance, assessing disaster risk across entire cities, and predicting and evaluating natural phenomena that cause damage (hazards), such as earthquake ground motion and tsunamis.
Its research combines simulation, probability and statistics, and machine learning using big data.
Project Associate Professor Koyama of the Social Cooperation Program "Next-Generation Numerical Simulation for Construction," and the students of the Koyama Lab, are also members of the lab.
Key terms
- Hazard
- A natural phenomenon that may cause damage, such as earthquake shaking or a tsunami
- Machine learning
- A technology that enables computers to learn rules and patterns from large amounts of data
- Resilience
- The ability to recover flexibly after suffering damage from a disaster or similar event
NewsLab news
A master's student received the Architectural Institute of Japan Outstanding Graduation Thesis Award
A paper based on a master's thesis was published in an international journal on architectural engineering in Asia
A paper by a master's student was published in the Journal of Structural and Construction Engineering (Transactions of AIJ)
A paper on the development of design basis ground motion was published in the Transactions of the Atomic Energy Society of Japan (Japanese-language journal)
A paper co-authored with the National Research Institute for Earth Science and Disaster Resilience was published in a journal of the Seismological Society of America
ResearchResearch themes
To support natural disaster risk management, the lab develops methodologies for evaluating the performance of buildings, assessing disaster risk at the city level, and predicting and evaluating hazards such as earthquake ground motion and tsunamis. Using methods such as simulation, probability and statistics, and machine learning, the lab proposes new frameworks for natural disaster risk assessment.
*Illustrative imageEvaluating the performance of buildings
The lab develops methods that identify the structural performance of buildings from observed earthquake records and predict damage in future earthquakes. Using machine learning on images and video, it also evaluates damage to building interiors and non-structural components.
*Illustrative imageAssessing disaster risk across entire cities
The lab develops methods to evaluate damage from future earthquakes and tsunamis. By applying machine learning to urban sensing data, it evaluates the performance of buildings and infrastructure during disasters, aiming for a new framework for urban resilience.
*Illustrative imagePredicting earthquake ground shaking
The lab aims to predict earthquake ground motion more accurately by evaluating ground characteristics from observed earthquake records. It is also developing techniques that predict ground motion using deep learning on big data of earthquake records.
MembersFaculty
The members of the Itoi Lab consist of faculty and students at the doctoral, master's, and undergraduate levels.As of 2026
- Associate ProfessorTatsuya ItoiPublications ↗
- Project Associate ProfessorTsuyoshi KoyamaPublications ↗
- Assistant ProfessorSangwon LeePublications ↗
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: “Residential skyscrapers in Chuo-ku, Tokyo, view from Rainbow Bridge ( by xegxef @Pixabay 2086643)” xegxef / CC0 (cropped)
- Evaluating the performance of buildings: “Interior of a damaged building after 7,8 magnitude earthquake in Turkiye” Adem / CC BY-SA 4.0 (cropped)
- Assessing disaster risk across entire cities: “Residential sea - Flickr - kurotango Clip” Yoshimitsu Kurooka / CC BY-SA 2.0 (cropped)
- Predicting earthquake ground shaking: “A seismogram of 2011 Tōhoku earthquake and tsunami” Z22 / CC BY-SA 3.0 (cropped)
- Related lab (Nakano Lab): “Fukuoka Growth Next the seismic retrofit carried out on the former Daimyō Elementary School building Fukuoka 20241231” Hirho / CC BY-SA 4.0 (cropped)
- Related lab (Tajri Lab): “Fukuoka Growth Next the seismic retrofit carried out on the former Daimyō Elementary School building Fukuoka 20241231” Hirho / CC BY-SA 4.0 (cropped)
- Related lab (Asai Lab): “2010 Chile earthquake - Building destroyed in Concepción” Claudio Núñez / CC BY-SA 2.0 (cropped)
- Related lab (Kusunoki-Maida Lab): “Burst column” Polyparadigm / Public domain (cropped)
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