Faculty and Research Themes, Field of Green Electronics Engineering

In building intelligent systems that are kind to people and the environment, we formulate individual challenges as optimization problems and develop computational solutions.

Research is being conducted on sensing devices utilizing polymers that induce electric charges through stretching, bending, and twisting. Development of sensing systems is underway by measuring polymer properties, sensing biological and robotic movements, and storing the sensed data in the cloud. Applications in nursing care and medical fields are anticipated.

This research focuses on the study and development of acoustic systems utilizing digital signal processing. Specifically, it examines digital audio technology, virtual sound technology, active noise control, the design and analysis of micro-acoustic devices using machine learning such as deep learning, and biometric authentication technology using sound. Through computational simulations and verification in real systems for these themes, the goal is to acquire multifaceted technical expertise.

Research on the application of neural networks and the development of dedicated hardware. Neural networks are information processing systems modeled after the brain, but conversely, the goal is to develop systems that can explain the physical operation of the brain through this research. Specifically, we use a neural network model called the Self-Organizing Map (SOM) as a model representing brain function. We aim to emulate the brain using SOM by developing dedicated hardware to execute SOM and applying it to tasks like image recognition. This involves incorporating mechanisms that mimic brain activities such as curiosity, surprise, and boredom into the learning function of SOM.