Yoshito Hirata, PhD
Faculty of Engineering, Information and Systems
University of Tsukuba
I am interested in developing methods of nonlinear time series analysis and applying them to various nonlinear phenomena. Nonlinear time series analysis provides not only useful information on the underlying dynamics but means of their prediction and control.
So far, I have been developing methods using delay coordinates, recurrence plots, permutations, surrogate tests, symbolic analysis, and point process analysis.
I have also applied these methods to real datasets measured from neurons, brains, heartbeats, winds, solar irradiation, cancers, amoebas, economies, and earthquakes.
Recently, research on recurrence plots has found an new application area in reconstructing three-dimensional chromosome structures for a single cell from experimental Hi-C data.
If you are interested, please write an email to
hirata (AT) cs.tsukuba.ac.jp
My short CV
- Past work
- Associate Professor, Mathematics and Informatics Center, University of Tokyo
- Project Associate Professor, Institute of Industrial Science, University of Tokyo
- Project Research Associate, Institute of Industrial Science, University of Tokyo
- Researcher, Aihara Complexity Modelling Project, ERATO, Japan Science and Technology Agency
- Postdoctoral Researcher, Department of Mathematical Informatics, University of Tokyo
- PhD, from School of Mathematics and Statistics, University of Western Australia
- Master of Engineering, from Department of Mathematical Engineering and Information Physics, University of Tokyo
- Bachelor of Engineering, Department of Mathematical Engineering and Information Physics, University of Tokyo
- Matlab codes for generating entropy preserving surrogates (Hirata, Shiro & Amigó, Entropy (2019))
- Matlab codes for estimating dynamical noise (Hirata, Chaos (2018))
- C code for estimating the parameters for the mathematical model of prostate cancer (Hirata, Bruchovsky, & Aihara, J. Theor. Biol. (2010))