Research.
Tsunami Evacuation Simulation
Tsunami Evacuation Simulation
Combining tsunami inundation prediction with multi-agent evacuation simulation to enable estimation of human casualties.

Atmospheric Environment Flow Analysis
Atmospheric Environment Flow Analysis
Developing thermal environment analysis methods for urban planning, addressing urban heat problems such as building winds and the heat island effect.

AMR Method for Sound Field Analysis
AMR Method for Sound Field Analysis
Achieving accurate sound field prediction with drastically reduced memory usage through AMR (adaptive mesh refinement), which refines the computation only where sound waves propagate.

Real-time Flood Prediction with Deep Learning
Real-time Flood Prediction with Deep Learning
Developing a surrogate model that combines dimensionality reduction and deep learning to predict flood inundation areas in seconds while maintaining accuracy comparable to physics-based simulation.

Underwater Object Classification with Deep Learning
Underwater Object Classification with Deep Learning
Using deep learning to classify and colorize point clouds by structure, making underwater survey data - which lacks color information - easier to interpret.

Roughness Estimation from Point Clouds
Roughness Estimation from Point Clouds
Estimating roughness coefficients from terrain features captured in LiDAR point clouds to improve the accuracy of flood inundation simulation.

Structure Visualization with AR
Structure Visualization with AR
Displaying hard-to-see civil engineering structures as CG through AR, contributing to construction efficiency, safety, and consensus building with residents.
Fighter Jet Noise Simulation
Fighter Jet Noise Simulation
Building an accurate, realistic noise evaluation simulation - covering indoor environments and multi-aircraft operations - using the immersive VR system CAVE.
Shinkansen Noise Simulation
Shinkansen Noise Simulation
Building an immersive railway noise evaluation system based on sounds recorded from trains in actual operation.
Maglev Driving Simulation
Maglev Driving Simulation
Building an accurate driving simulation of the maglev (linear motor car) using the Meta Quest 3 head-mounted display.
Vehicle Driving Simulation with MR
Vehicle Driving Simulation with MR
Developing a noise evaluation system that uses MR technology to experience simulated vehicle movement and sound propagation within real scenery.


