Faculty and Researchers

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.

Information NetworkNetwork operations management support system, Educational system and learning support system,

We develop network management and educational systems to support training of network engineers　and network security engineers. We also conduct IoT System.

Media Informatics

Mathematical Information Engineering, Optimization Methods, Statistics

Virtual Reality, Human Interface

Working on improving the reality of videoconferencing, metaverses, and humanoids for transmitting social presence in online environments.

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. We are working on analyzing human behavior from security cameras and the movement of animals in the wild, and we are tackling the development of fundamental technologies for computer vision.

Evolutionary Computation

Humans and biological life forms appropriately sift through information while achieving intelligent behavior. In this laboratory, we are researching efficient, high-performance learning and evolutionary algorithms inspired by nature and living organisms.

Information and Communication Engineering

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.

Semantics for Concurrent Logic Programming Languages, Equivalence Relations for Process Algebras

We are investigating the development and safety of “software servants” (mobile agent systems). These application programs move autonomously on the Net to perform work such as gathering information and arranging schedules.

Computational Neuroscience

medical Informatics

Software Engineering

The major goal of software engineering is to develop high-quality software. Major topics of our laboratory are human factors of software development, software reliability, and software productivity. We mainly adopt empirical software engineering approach.

Clustering Machine Learning Data Science

This laboratory is promoting greater sophistication in data analysis techniques, in particular, clustering, and is actively working on the development of new data analysis methods that will constitute useful tools for data mining, as well as their application.

Large scale information processing platform Large scale information processing method Virtual Network Infrastructure/Server Management

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.

Distributed Algorithms, Fault-tolerant Algorithms, Coding Theory

To enable computers to operate efficiently on network systems, we take a theoretical perspective to researching procedures to be used in communicating information. These technologies are regarded as crucial to modern society.

Service Computing

We research Web-based services used in e-commerce and B2B transactions. Our goal is to optimize work flow and business systems based on the concept of business process modeling.

Learning Engineering

Information Security