Institute of Industrial Science,
The University of Tokyo,
4-6-1 Komaba, Meguro-ku,
yoshito at sat dot t dot u-tokyo dot ac dot jp
+81 3 5452 6697
+81 3 5452 6694
Nonlinear time series analysis:
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, 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,
Quantitative cancer research (Quantitative oncology):
Among the various applications mentioned above, I am currently particularly
interested in proposing mathematical methods for cancers.
I proposed a mathematical model of prostate cancer under
intermittent androgen suppression, which describes changes of prostate
specific antigen, a tumor marker, quantitatively well.
In addition, I also proposed an optimal schedule for intermittent
androgen suppression using this mathematical model.