Data Science and Artificial Intelligence
Master's Program Graduate School Overview

Graduate School of Information Science

Research Area Overview

We provide education and research on information technology that supports the development of a digital society and assists and strengthens human capabilities, as well as intelligent information processing and media processing that make the boundary between humans and computers more comfortable, from the perspective of effective data utilization and artificial intelligence.

Research Topics

Research on safe driving education using edge AI devices in real vehicles

In recent years, research into autonomous driving has progressed, but accidents have also occurred. Even if fully autonomous driving is realized, it will take a considerable amount of time to replace all current vehicles, so safe driving education will remain important.
In this research, we are developing a system that uses edge AI devices to quantitatively evaluate the driving of drivers. The most common types of accidents are rear-end collisions and head-on collisions. By using edge AI to detect vehicles ahead and stop signs, we can evaluate the distance between vehicles and driving behavior at stop signs. The experimental vehicle is compatible with IoT, and safety management can be done on a web page.

Future vision: Reducing traffic accidents through safe driving education using AI

Data Science and Artificial Intelligence Faculty Introduction

full name Research Field Research Themes
Takashi Naka ◯ Life, Health and Medical Informatics, Computational Biology Characterization of biological information processing mechanisms
Kai Sei ◯ Multimedia databases, web informatics, service informatics Managing and processing semi-structured, semi-persistent and graph data
Kazuaki Koshi ◯ Software, Social Systems Engineering/Safety Systems, Information Science Intelligent Assistance Systems, Intelligent Transport Systems (ITS), Intelligent Educational Systems (ITS)
Yuichi Asahiro ◯ Basic theory of information science Algorithms and computational complexity
Satoshi Yonemoto ◯ Perceptual information processing, Intelligent informatics, Soft computing Computer vision and its applications, evolutionary computation and its applications
Kentaro Inanaga ◯ Management Information Systems, Civil Engineering Planning and Traffic Engineering Information distribution and information quality using information and communication technology, practical application of operation management support systems for local public transport
Keisuke Abe ◯ Intelligent informatics, Information science and optimization methods Planning techniques in the information society.
U Haiha ◯ Software, Intelligent Informatics Software Engineering, Information Retrieval
Makoto Maeda Human Interface Life support systems based on intelligent image processing

* "◯" indicates a master's course research supervisor