Spintronics and Magnetics

Professor

spintronics, semiconductor quantum structures

Characterization of electrical, optical, and spin properties of semiconductor quantum nanostructures, and study on spin coherence in semiconductor nanostructures and its application toward low power consumption technology.

Professor

Magnetics, Materials Informatics, Computational Physics

A study of Materials Informatics using Explainable Machine Learning to analyze the mechanism of magnetic property in magnetic materials. Development of representations that use free energy to build models in data space and connect observed physical phenomena.

Professor

magnetic oxides, epitaxial films, advanced magnetic materials

Development of novel materials for spintronics. Fabrication and characterization of magnetic devices composed of metal and oxide materials.

Assistant Professor

machine learning, magneto-optical studies, technical English education

Machine learning techniques to analyze magneto-optical studies.