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Building Environmental Engineering Lab
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The lab explores the relationship between indoor environments and health effects.
AboutAbout the lab
Linking indoor environments and human health
The Building Environmental Engineering Lab studies the relationship between indoor environments and health effects from the perspectives of environmental engineering and public health.
Using computational fluid dynamics (CFD), the lab builds models that predict everything from indoor airflow to the distributions of temperature and humidity and the concentration distributions of various pollutants.
The lab also develops numerical human body models to predict the microclimate around the body, skin surface temperature, and exposure concentrations with high accuracy.
On the lab's website, it is presented under the name "Ito Lab."
Key terms
- Computational fluid dynamics (CFD)
- A method of calculating the flow of air and other fluids on a computer. It is used to predict indoor airflow and concentration distributions.
- Numerical human body model
- A model that reproduces the human body on a computer. It is used to predict the airflow around the body, skin temperature, and exposure concentrations.
- SIR model
- An epidemiological model that describes the spread of infectious diseases. It is combined with airflow calculations to predict infection risk.
ResearchResearch themes
The lab studies the relationship between indoor environments and health effects from the perspectives of environmental engineering and public health. It runs several research projects that use computation to predict indoor airflow and the spread of pollutants, and connect the results to the assessment of effects on the human body.
*Illustrative imageIndoor pollution from airborne particles
For particulate pollutants floating in indoor air, the challenges are predicting concentration distributions and establishing countermeasure technologies to reduce concentrations. The lab aims to develop prediction methods that combine engineering-based prediction with health risk assessment from public health.
*Illustrative imageComprehensive numerical prediction of indoor environments
Based on CFD, the lab develops technologies to predict the airflow around the human body, the concentration distributions of gaseous substances and aerosols, microbial growth, and more. It works to improve the accuracy of predictions of living environments and to establish the fundamental technologies needed to assess health effects.
*Illustrative imageIndoor environment and intellectual productivity
Through intervention studies and laboratory experiments, the lab clarifies the relationship between physical environmental factors in various indoor environments and intellectual productivity. It also conducts surveys of learning efficiency in classrooms.
*Illustrative imageRisk assessment of airborne infection
For large spaces, the lab develops methods that combine CFD analysis with epidemiological models such as the SIR model. It aims to predict exposure routes to the human body with high accuracy and to lead to fundamental technologies for lowering exposure concentrations.
MembersFaculty
The members of the Building Environmental Engineering Lab are a Professor, an Assistant Professor, a Project Assistant Professor, a lab secretary, doctoral, master's, and undergraduate students, visiting graduate students, and a Professor Emeritus.As of 2026
- ProfessorKazuhide Ito
- Assistant ProfessorKazuki Kuga
- Assistant ProfessorNguyen Dang Khoa
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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: “Buildings in Orekhovo-Zuevo. Ventilation on the roof of the building 02” Dmitry Makeev / CC BY-SA 4.0 (cropped)
- Indoor pollution from airborne particles: “Haze over Eastern China ( )” NASA Goddard Space Flight Center from Greenbelt, MD, USA / Public domain (cropped)
- Comprehensive numerical prediction of indoor environments: “Ames Smoke Tunnel - GPN” NASA / Roger Brimmer, Tom Trower / Public domain (cropped)
- Indoor environment and intellectual productivity: “Flexible Workplace Variability” Unicor.gov / Public domain (cropped)
- Risk assessment of airborne infection: “Aerosol” PiccoloNamek / CC BY-SA 3.0 (cropped)
- Related lab (都市環境科学研究室): “Skyline Tower LIC 2020 jeh” Jim.henderson / CC BY-SA 4.0 (cropped)
- Related lab (エネルギー熱物理科学研究室): “Close-up of a Fire” Thomas Kirchel / CC BY 4.0 (cropped)
- Related lab (シミュレーションプラズマ物理学研究室): “Nuclear Physicists Wield HPC to Uncover Magic Isotopes” OLCF / CC BY 2.0 (cropped)
- Related lab (生体
エネルギー工学研究室): “Yeast cultures in incubator-2” Masur / CC BY-SA 4.0 (cropped)
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