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Education
B.S. | degree in physics | in 3/2008 | from Tohoku University |
M.Sc. | degree in physics | in 3/2010 | from Hokkaido University |
M.A. | degree in arts and science | in 3/2013 | from University of Tokyo |
Ph.D. | degree in arts and science | in 3/2016 | from University of Tokyo |
Research experience
4/2016~3/2019 | Graduate School of Frontier Sciences, | The University of Tokyo, | Project Researcher : | Research on data-driven science in Masato Okada's Lab. |
4/2019~12/2022 | The Institute of Statistical Mathematics, | Research Centre for Statistical Machine Learning, | Project Assist. Prof.: | Research on statistical machine learning in Kenji Fukumizu's Lab. |
1/2023~ | Hitotsubashi University | Graduate School of Social and Data Sciences, | Associate Professor: | Engaged in research on data-driven science with interpretable AI |
Teaching experience
10/2021~ | Hitotsubashi University | Part-time lecturer | 「Introduction to AI」 |
4/2021~ | Rikkyo University | Part-time lecturer | 「Data science practical training」 |
4/2020~7/2020 | Tsukuba University | Part-time lecturer | 「Mathematical Sciences 1(Differential and Integral Calculus)」 |
9/2019~ | Seijo University | Part-time lecturer | 「Data Science Applications」「Advanced Programme in Data Science」 |
Awards
SWARM2019: The 3rd International Symposium on Swarm Behavior and Bio-Inspired Robotics, Best Paper Award Finalists | |
Takayuki Niizato, Kotaro Sakamoto, Yoh-Ichi Mototake, Hisashi Murakami, Yuta Nishiyama, Toshiki Fukushima | (2019) |
Best Presentation Award, 1st Public Symposium, Tokyo University of Science, Department of Interdisciplinary Brain Research | (2017) |
National Conference of the Japanese Society for Artificial Knowledge 2016 Annual Conference Award | (2016) |
SWARM 2015: The First International Symposium on Swarm Behavior and Bio-Inspired Robotics, Best Student Paper Award Finalists | (2015) |
National Research and Development Corporation |
New Energy and Industrial Technology Development Organization (NEDO)Unexplored Challenge 2050(22100843-0) Research Representative |
‘Creation of Materials Pattern Informatics for Innovative Ceramic Material Design’ |
Period: 2022-08 to 2025-07 |
Wakate Study (No.22K13979) Research Representative |
'Developing machine learning methods for discovering unknown symmetries in pattern dynamics' |
Period: 2022-04 to 2027-03 |
Mathematical structure extraction of pattern dynamics using interpretable AI and its application to materials informatics. |
National Science and Technology Agency, Strategic Creative Research Promotion Programme (PRESTO) |
Period: 2021-10 to 2025-3 |
New Academic Field Research (Research Field Proposal Type) (No.20H04648) Research Representative |
'Building a reduced model of the pattern formation process through topological data analysis.' |
Period: 2020-04-01 2022-03-31 |
Joint Utilization of the Institute of Statistics and Mathematical Sciences (General Studies 2) (No.2020-ISMCRP-2069) |
'TDA analysis of ferromagnetic domain pattern formation processes.' |
Period: 2020-04-01 2021-03-31 |
Joint Utilization of the Institute of Statistics and Mathematical Sciences (General Studies 2) (No.2020-ISMCRP-2070) |
'A review of methods for applying algebraic geometric learning theory to physical data analysis' |
Period: 2020-04-01 2021-03-31 |
Affiliation:Graduate School of Social and Data Sciences, Hitotsubashi University (Mototake Lab.) |
Address:Room 227, East Main Building, 2-1 Naka, Kunitachi-shi, Tokyo 186-8601 |
Telephone:042-580-9222(Direct communication) |
E-mail : y.mototake-at-r.hit-u.ac.jp |