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  • Intelligent Systems

Intelligent Systems

Start from April 2019

Overview of the Department

Information technology further increasing in sophistication: Learn about cutting-edge technologies including artificial intelligence (AI)

Automobiles, consumer electronics and various other things in the coming smart society will be connected one another and they will work together to create various forms of intelligence. The aim of this department is to train engineers who can solve various problems in society and companies. We will do this by ensuring that our students comprehensively study various forms of intelligence, including artificial intelligence, big data analysis and cloud intelligence. We will develop leading IT engineers and data scientists who can work in any industry – from ICT, automobile and electrical appliance manufacturers to finance, advertising and other service industries by utilizing various types of intelligence.

Laboratory Introduction

Large-scale Data Analysis: Kaneko Lab

Explores for solutions by modeling and analyzing problems and phenomena that occur in social systems

Human Information Systems and Artificial Intelligence: Mori Lab

Develops next generation user interfaces and conducts research on intelligent information processing

Human Information Systems and Artificial Intelligence: Tanaka Lab

Pursuits a computational understanding of the brain functioning and integrates artificial and biological intelligence.

Human Information Systems and Artificial Intelligence: Oka Lab

Works to achieve a more comfortable society with “human” research based on the concepts of ergonomics and human-centered design

Human Information Systems and Artificial Intelligence: Anada Lab

Conducts research with a constructive approach on atomic systems complexly intertwined by interaction

Industrial Systems: Shiomoto Lab

Conducts research on computer network architecture and algorithms

Industrial Systems: Jinno Lab

Develops and applies new information processing systems that effectively use the diverse phenomena caused by nonlinearity

Intelligent Management Systems: Watabe Lab

Conducts research utilizing statistical analysis on the latest issues in corporate management using telecommunications technologies

Intelligent Management Systems: Shiba Lab

Conducts research on solving various social issues using root analysis, statistics, simulations and so on.

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Academic Staff


  1. Application of Machine Learning to Network Intrusion Detection Systems
  2. Application of Few-Short Learning to Sevice Assuarance of LTE Networks
  3. Application of Bayesian Model for Traffic Forecast
  4. Trajectory Data Mining for Spatio-Temporal Human Mobility
  1. 1) Nonlinear theory and its applications
  2. 2) Swarm optimization and Evolutionary computation
  3. 3) Analysis and Application of Machine Learning Theory
  1. (1) HCI
  2. (2) AI
  1. (1) Computational neuroscience
  2. (2) Biological signal processing.
  3. (3) Behavioral analysis.
  1. (1) Social issue solving
  2. (2) Global governance scheme building


  1. (1) Evolutionary Computation
  2. (2) Artificial Inteligence of various fields
  1. (1) UI/UX
  2. (2) Usabirity , Safety and Security