Faculty and Researchers

Medical Informatics

We apply information technology to medical care safely and without imposing a burden on doctors or patients. To this end, we conduct research on ubiquitous computing, advanced image and video processing, and user-friendly interface technologies.

Aerosols, Remote sensing

Understanding of aerosol properties is impotant role in the climate research. The aim of this work is to estimate aerosol properties by remote sensing from space and ground.

Machine Learning for CAE surrogate modeling, Computational Mechanics (Automatic Model Generation, Finite Element Simulation), Fracture Mechanics, Crack Propagation Analysis, Non-Contact Strain Measurement

We assume that a cell phone will be dropped. Defects exist in structures. But…neither break immediately. To measure and simulate structural strength and damage caused by crack growth, and to develop and do research on evaluation techniques—these are our themes.

Media Informatics, Pattern Recognition, Medical Image Processing, Computer Vision

Our goal is to build an intelligent computer that behaves like a human. We are engaged in research involving image and audio media on a variety of software systems that take into account human subjectivity, experience, and sensitivity.

Educational Information Technology

This lab focuses on the research field known as e-learning, and conducts R&D on sensing technologies and systems to recognize behavior and actions in education and learning. We make full use of application technologies such as artificial intelligence, multi-media technology, and computer vision.

LED Packaging, Soft Computing, Control Theory

My research interests include LED packaging optimal design based on ray-tracing simulation and machine learning, and big-data analysis of a railway telemeter system.

Multimedia Information Processing, Machine Learning, Data Mining, Human Activity Recognition

Our research goal is to extract semantic information (e.g., objects, activities, scenes, events, etc.) from multimedia data. Our main approach to this is to analyse patterns, relations and anomalies underlying in different forms of data (e.g., image, video, audio, text, etc.).

Industrial Management Engineering, Quality Management, Operational Research, Applied Statistics

Industrial Management is a activity of achieving efficiency, rationalization, and optimization in production systems. This laboratory researches and develops some methods of Industrial Management based on data science and ICT.

Computer Vision, Image Processing, Pattern Recognition

We study techniques to process images captured by a camera and understand the things in the image and what is happening in the image. We are working on analyzing group behavior from security cameras as well as the movement of schools of fish in water, and we are tackling development of basic technologies for object recognition.

Natural Language Processing

This laboratory uses text data on the Web to gain important information from them. Based on this, we conduct research into technologies to search for needed information and make practical use of it.

Multispectral Imaging, Image Analysis

The colors of objects photographed using a camera are affected by the light source and the sensor, and are thus not the colors as seen by people with their eyes. We conduct research to estimate these effects and develop computer graphics that can reproduce the colors of objects accurately.

Information Security