Kazuya Ishitsuka

My research involves measuring and modeling the earth's crust in order to better understand the nature of earth resources and dynamics in the crust as well as their engineering applications.
(1) Development of a method to model geothermal systems using machine learning and inverse analyses
Modeling the distribution of temperature and physical properties in geothermal fields is useful for understanding geothermal systems and assessing geothermal resources. I have applied frameworks of machine learning and inverse analysis to predict temperature and physical property distributions at depths in geothermal fields by utilizing geophysical and geological data as well as domain knowledge.
(2) Estimation of surface displacement using satellite synthetic aperture radar (SAR) images
I have extended and applied a method called SAR interferometry for estimating surface displacement using data acquired by SAR. By estimating wide-area surface displacement with high accuracy, I aim to understand crustal deformation phenomena and subsurface fluid behavior.
(3) Measurement and modeling of physical properties of rocks
Evaluating physical properties of rocks is important for understanding subsurface physical phenomena and for interpreting measurements. I have been involved in laboratory measurements and numerical modeling of thermal properties, resistivity, and seismic velocity, as well as in the development of new measurement methods for rock properties.