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Amaya Lab
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The lab studies inverse problems, which trace causes back from observed results, and electrochemical simulation.

AboutAbout the lab
Inverse problems and electrochemical simulation
The Amaya Lab studies a wide range of engineering problems, centered on inverse problems and electrochemical simulation.
X-ray CT is often cited as a successful example of an inverse problem: it reconstructs images of cross-sections of the body from information measured outside the body.
The lab works on medical imaging, inspection of optical devices, monitoring of corrosion in marine facilities, automotive painting, and diagnosis of cracks in structures.
Some of its research is carried out in collaboration with Johns Hopkins University, and some in cooperation with companies.
Key terms
- Inverse problem
- A problem of estimating the cause, or the internal state that cannot be seen from outside, from observed results
- Numerical simulation
- A method of expressing a phenomenon with equations and predicting the result by computing it on a computer
- Electrodeposition coating
- A coating method in which an electric current is passed through a bath of paint, and an electrochemical reaction forms a paint film on a metal surface
ResearchResearch themes
The lab studies a wide range of engineering problems, centered on inverse problems and electrochemical simulation. Using computational mechanics and numerical simulation, it tackles challenges in medicine, optical devices, marine infrastructure, automobile manufacturing, and inspection of structures.
*Illustrative imageMedical Image Reconstruction
Like X-ray CT, this research reconstructs cross-sectional images from information measured outside the body. In collaboration with Johns Hopkins University, the lab developed a method that makes use of prior information for each organ to reconstruct cross-sections accurately.
*Illustrative imageApplication to Inspection of Optical Devices
The lab applies inverse problems to the inspection of optical devices that require high accuracy, such as smartphone cameras and laser LiDAR. The results are used in forms such as DVD heads and camera inspection equipment.
*Illustrative imageMonitoring Corrosion of Marine Infrastructure
This is a technology for monitoring corrosion of offshore plants and port facilities by measuring electric fields. It is being developed in combination with numerical simulation as an alternative to inspections that have relied on visual checks by divers.
*Illustrative imageSimulation of Automotive Electrodeposition Coating
This is a technology that uses numerical simulation to predict electrodeposition coating, in which a paint film is applied to a car body on an automobile production line. Building models of the complex electrochemical reactions is the core of the research.
MembersFaculty
The members of the Amaya Lab are faculty, administrative assistants, and doctoral, master's, and undergraduate students.
- ProfessorKenji AmayaPublications ↗
- Assistant ProfessorYuki OnishiPublications ↗
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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: “Electrode protecting a screw” Rémi Kaupp / CC BY-SA 3.0 (cropped)
- Medical Image Reconstruction: “Head CT scan” Andrew Ciscel / CC BY-SA 2.0 (cropped)
- Application to Inspection of Optical Devices: “Samsung Galaxy S5 camera elements” Spigget / CC BY-SA 4.0 (cropped)
- Monitoring Corrosion of Marine Infrastructure: “Leman 26AD2 offshore installation” Alnitak3 / CC BY-SA 4.0 (cropped)
- Simulation of Automotive Electrodeposition Coating: “Kansas City Assembly” Ford Motor Co / CC BY 2.0 (cropped)
- Related lab (奥富・紋野研究室): “Monmouth castle point cloud, created with Photosynth 01” John Cummings / CC BY-SA 3.0 (cropped)
- Related lab (小酒研究室): “Cutaway of a MAN V8 Diesel engine” Olivier Cleynen / CC BY-SA 3.0 (cropped)
- Related lab (中尾研究室): “Belousov Zhabotinsky reaction ( )” Stephen Morris / CC BY 2.0 (cropped)
- Related lab (早川研究室): “Neighborhood of attractor of discretized Lorenz system. XYZ(28) plane” German A. Chernykh & Irina A. Chernykh / CC BY-SA 4.0 (cropped)
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