Affiliation	Graduate School of Science and Technology ―Master course 2nd year
	Team	Computational Aesthetics
	Research theme	script translation in calligraphic works using deep learning
	E-mail	shohei.ninomiyafj.ics.keio.ac.jp
	Website	―

Self-introduction

I was born 23 years ago in Saitama Prefecture. We have a mother, a father, and an elder brother. In a family that respects my curiosity, I have tried many things such as calligraphy, swimming, tennis, basketball, and choir. I am especially passionate about basketball and calligraphy, and I continue to do calligraphy. The more I learn about calligraphy, the more my own immaturity becomes apparent, and there is no end to the possibilities for growth, which is its greatest appeal. I would like to grow up with both research and calligraphy.

Education

April 2020 – prsent	M.E. in Information and Computer Science, Graduate School of Science and Technology, Keio University
April 2016 – March 2020	B.E. in Information and Computer Science, Keio University

Publications

Unrefereed

1. Shohei Ninomiya, Masanori Nakayama, Atsushi Miyazawa, Issei Fujishiro: “Toward script translation in calligraphic works using deep learning: Character recognition of seal scripts,” in The Technical Report of the Institute of Image Information and Television Engineers, Vol. 44, No.10, pp. 75―78, March, 2020 (in Japanese), Excellent Research Presentation Award (in Japanese).
2. Shohei Ninomiya, Masanori Nakayama, Atsushi Miyazawa, Issei Fujishiro: “Script translation in calligraphic works using deep learning,” in Proceedings ofthe 82th National Convention of International Processing Society of Japan, Vol. 4, pp. 135―136 (2ZC-04), Kanazawa University Ohgigaoka Campus, Ishikawa, March 5―7, 2020, Student Encouragement Award (in Japanese).

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