We proposed a method for learning efficiently when studying mathematics. Focusing on the dependency of the problem, we measured the efficiency of problem selection.

I worked on the experiment that creators can easily complete incomplete coloring which occurs while painting by deep learning.

I developed Neural Networks for airfoil estimation, and the NN performed 1000x faster than conventional analysis. In addition, I developed web interface of the NN for airplane novices.

I worked on the experiment that the model would be able to generate line image of characters from its illustration automatically using deep learning. Adding to typical loss function, I used 'perceptual loss' to raise accuracy of the model.