Global motion in images arises with video camera movement. Estimation of global motion is required for image stabilization, image coding, moving object detection, and so on. We develop a fast and accurate method to estimate global motion from an image sequence that contains moving objects (local motion).

I perform the spectroscopic analysis in the ionic conductor and the applied study (ionics, photoionics, hydrogen storage material etc.) using it.

The major contents related to the research are shown in the following:
(1) Optical characteristic (refractive index, optical absorption) of the superionic conductior glasses (SICG).
(2) Infrared absorption of perovskite-type proton conductor.

Wireless Mesh Networks (WMNs) are attracting a lot of attention from wireless network researchers, because of their potential use in several fields such as collaborative computing and communications.
In my current works, improve WMN performance, implementation of Content-Centric Network for adhoc environment, implementation of distributed processing platform for low-powered computer, etc.

Artificial intelligence has regained a lot of attention with the emergence of deep learning. However, I am concerned about the problem of disadvantaged people, such as the digital divide.
I study methodologies for introducing IT into niche fields.
Additionally, I develop self-organization algorithms for practical applications.

My research interests focus on screening of useful microorganisms from environmental samples for future industrial applications. For example, I attempt to develop novel fermented foods using fermentation microorganisms.