Shotaro Tsuji

A doctor of information science and technology.

Education

• April 2011 – March 2013, Faculty of Arts and Sciences, University of Tokyo
• April 2013 – March 2015, Department of Information and Communication Engineering, Faculty of Engineering, University of Tokyo
• April 2015 – March 2017, Department of Electrical Engineering and Information Systems, Graduate School of Engineering, University of Tokyo
• April 2017 – March 2020, Department of Methematical Informatics, Graduate School of Information Science and Technology, University of Tokyo

Publications

• Shotaro Tsuji, Kazuyuki Aihara, “An evaluation of the shape of the Lorenz attractor embedded in the delay coordinate space with persistent homology,” Conference of IEICE Technical committee of Nonlinear Problems, vol. 116, no. 151, NLP2016-37, pp. 17-20, July, 2016 (in Japanese).
• Shotaro Tsuji, Kazuyuki Aihara, “Criterion for determining the optimal delay of attractor reconstruction using persistent homology,” Nonlinear Theory and Its Applications, IEICE, 2019, Volume 10, Issue 1, pp. 74-89, January , 2019.
• Shotaro Tsuji, Kazuyuki Aihara, “A fast method of computing persistent homology of time series data,” ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, 2019, pp. 3462-3566.
• Shotaro Tsuji, “An introduction to an algorithm of persistent homology groups,” SEISAN KENKYU, vol. 72, no. 2, pp. 111-116, March 2015 (in Japanese).