Laboratories – Advanced Information Technology


Advanced Information Technology

Electrical and Electronic Engineering

Advanced Information and Communication Technology

Cyber-Physical Computing Laboratory

Cyber-Physical Computing LaboratoryMembers : Prof. Koji Inoue / Assoc.Prof. Takatsugu Ono / Asst.Prof. Satoshi Kawakami

keywords : Hardware security, Data center, Warehouse-scale computing, High-performance computing, Architecture, Cyber-physical system

Our research goal is to explore next-generation computer system architecture that can be achieved by integrating the information and electrical/electronic technologies. We also aim to develop new applications that stand on growing computing performance in order to solve critical issues in the world such as energy issue, cyber-security, and so on. Our scope is from emerging devices such as single-flux-quantum and nanophotonics to computer architecture, system software, and applications.

HumanoPhilic Systems Laboratory

HumanoPhilic Systems LaboratoryMembers : Prof. Yutaka Arakawa / Asst.Prof. Shigemi Ishida

keywords : IoT, Activity Recognition, Behavior Change Support System, Wearable Computing, Learning Analytics, Energy Harvesting, Stress Estimation Work Engagement Estimation, Ubiquitous Computing, Pervasive Computing, Mobile Computing, Web Information System, Disaster Information System, Notification Management, Social Data Analysis, Participatory Sensinc, Vehicular Sensing, Cyber Physical System, Sensor Network, Application

HumanoPhilic Systems Laboratory conducts research on cyber-physical systems (CPS: Cyber-Physical Systems) that support human life, by combining various information technologies, such as sensing from the real world, data processing in the cloud, and networking that conncts them. The term "HumanoPhilic" is the combination of "human" and "philic" which means having a high affinity.
We focus on human activity recognition using sensors (IoT) and machine learning (AI). Our research topics include both hardware development and software implementation. A major research issue is to explore what kind of sensors and algorithms can recognize the internal sate (Emotions and stresses) as well as the external state of a person (physical action). Furthermore, in recent years, as novel research beyond human activity recognition, we started focusing on a behavior change support system (BCSS). BCSS means information technologies that affect human future behavior.

Real World Robotics

Laboratory for Image and Media Understanding

Laboratory for Image and Media UnderstandingMembers : Prof. Rin-ichiro Taniguchi / Assoc.Prof. Atsushi Shimada / Assoc.Prof. Hideaki Uchiyama / Asst.Prof. Diego Thomas

keywords : Deep learning, Augmented reality, Virtual reality, Big data, Video analysis, Artificial intelligence, Visualization, User interface, Learning analytics

In the Laboratory for Image and Media Understanding (LIMU), our goal is to establish a novel framework to (1) retrieve social information from observation data obtained with various sensors and (2) to create innovative content for the society by analyzing those data. While developing the tools necessary to build such a framework, we carefully design the algorithms such that anybody in the society can later interact with such a cyber–physical world to improve analysis performances and users experience. To this end, the research in the lab is focused around two main axis: Computer Vision (CV) and Cyber-Physical System (CPS). The goal of Computer Vision is to make the computer “see” the world. This means to develop techniques to analyze, recognize and process visual information such as images and videos. Among other problematics of CV, one important topic is how to accurately measure and recognize 3D shapes and their motions for efficient scene understanding. This can be done by using multi-view cameras or depth cameras. 2.5D data captured by such cameras can be combined to create useful 3D content. In the lab, captured visual data are used for application in the agricultural world. Results of our analysis on plant growth, vegetable production and harvesting are provided to our farmer collaborators with various information that help for everyday support and production improvement. In this research (which is a part of the CPS project), we are making much efforts to establish the next-generation agricultural Internet of Things (IoT). Various sensors are installed in farms and captured data are analyzed using most recent machine learning technologies. On the other hand, research is also conducted to analyze data from wireless sensors and web systems. Various data collected on the Itoshima campus are analyzed to predict social events and crowd movements. These results can be used to develop services leading to a more efficient and sophisticated society.

Image Information and Robotics

Image Information and RoboticMembers : Assoc.Prof. Ken'ichi Morooka

keywords : Medicine, Image

We do research on support systems for medicines and welfare by using information and robot technologies to improve the quality of human life. Our research focuses on three topics: 1) human digital atlas composed of shape and function of human organs; 2) computer aided support systems for therapy and diagnosis by using image information processing; 3) nursing education systems.

Laboratory for Real-world Informative Robotics

Laboratory for Real-world Informative RoboticsMembers : Prof. Ryo Kurazume / Asst.Prof. Akihiro Kawamura / Asst.Prof. Shoko Miyauchi

keywords : Service robot, Life support robot, Soft robotics

We are conducting research on robot and computer vision systems to realize CPS (Cyber Physical System) using IoRT (Internet of Things and Robot technology). CPS is a fundamental technology for developing and maintaining urban society efficiently and safely. To realize CPS, sensing technology including IoT for modeling real world in cyber space, and robot technology for changing real world physically are critical components. In our laboratory, a variety of sensing and robot technologies are studied to develop CPS such as ambient sensing, first-person vision, laser sensing, humanoid robot, service robot, rescue robot, and mobile robot.

Human Interface Laboratory

Human Interface LaboratoryMembers : Prof. Seiichi Uchida / Assoc.Prof. Ryoma Bise / Asst.Prof. Daiki Suehiro / Asst.Prof. Hideaki Hayashi

keywords : Artificial intelligence, Deep learning, Neural network, Medical image, Sports, Biosignal, Time series, Game theory

Pattern recognition is a research field that focuses on the artificial realization of the human cognitive system. It is still difficult even though computers are highly developed today. For example, we humans can easily recognize a car at a glance as “That is a car.” However, there are numerous models in cars, and appearance will change depending on a point of view even if we look at the same model. The easiest way to handle this issue is to classify the input based on the similarity to patterns stored in a computer in advance, but challenges remain such as the definition of similarity. The key point is how to handle variety in patterns that causes difficulty. In this laboratory, we develop pattern recognition techniques and the related applications such as image processing/recognition, bioimage informatics, machine learning, and character engineering/science. We are challenging these attractive problems with our unique techniques and competing against the world.

Computer Vision & Graphics & VR/AR Laboratory

Computer Vision and Graphics and VR/AR LaboratoryMembers : Prof. Hiroshi Kawasaki / Asst.Prof. Takafumi Iwaguchi

keywords : Computer Graphics (CG), Computer Vision (CV), Virtual Reality/Augmented Reality (VR/AR/MR), Human Computer Interaction (HCI), Medical Imaging Systems, Intelligent Transport Systems (ITS)

In this laboratory, we focus on computer vision (CV) and computer graphics (CG) research as well as application to virtual and augmented reality systems (VR/AR/MR). In order to contribute to those research areas, efficient acquisition, modeling and photo-realistic visualization techniques are the core of our research purpose. By using the outcomes of those research, development of medical imaging systems and intelligent transportation systems is also our important mission.

Human Data Interaction Laboratory

Human Data Interaction LabMembers : Prof. Shin’ichi KONOMI / Asst.Prof. Yuta TANIGUCHI

キーワード:Human-Computer Interaction, Data Mining, Sensing, Learning Analytics, Ubiquitous Computing

Our research topics include design, methods and techniques for making interactions between humans and data more effective, thereby making it easier to address societal issues based on a large amount of data. We work on different sensing methods including crowd sensing; different data analysis and visualization techniques based on data mining; and applied research of data analytics. In particular, we actively pursue applied research on learning analytics to improve learning and teaching based on data. We also conduct research on ubiquitous computing for the support of collaboration and problem solving.

Advanced Software Engineering

Advanced Software Laboratory

Advanced Software LaboratoryMembers : Prof. Akira Fukuda / Assoc.Prof. Kenji Hisazumi / Assoc.Prof. Ashir Ahmed

keywords : Embedded System, DSL (Domain Specific Languages), IoT (Internet of Things), ITS (Intelligent Transport Systems), Wireless Communications, Portable Health Clinic

ICT (Information Communication Technologies) are more required in our lives. We are developing technologies in three directions to tackle the problems in our daily lives and in social lives.

  1. Fundamental technologies: We are developing low cost sensing technologies such as acoustic vehicle sensing system for better understanding of the world around us. We are also working on wireless communication technologies to collect sensing data from small IoT devices.
  2. Software development technologies: Embedded systems including small sensors and automobiles have no output devices, which put difficulties in software development, especially on debugging. We are developing DSLs (domain specific languages) that drastically reduce development costs. We are also developing DSLs that give us rich information such as power consumption for better software development.
  3. Reverse Innovation: ICT became the core component to serve social services (healthcare, education, business) in developing countries. We are developing social needs-based solutions that can directly serve the society e.g. remote healthcare system to reduce healthcare cost, new car sharing model that can increase social impact. We examine our concept in developing countries and plan to use the same technology in developed countries as well.

Principles of software engineering and programming languages Laboratory

Principles of software engineering and programming languages LaboratoryMembers : Prof. Naoyasu Ubayashi / Assoc.Prof. Yasutaka Kamei / Asst.Prof. Ryosuke Sato

keywords : Software engineering, Highly reliable software, Software architecture, Software testing, Formal method, Formal verification, Programming language mechanism, Artificial intelligence

Our research group is studying software engineering and programming language, which are foundations of software development. Software engineering is a field of study that investigates how to solve problems of software from the aspect of engineering. We are studying from the following three viewpoints: "Advanced programming experience", "Highly reliable software based on formal methods", and "Mining software repository for discovery of collective intelligence". The first two utilize AI, machine learning, discovery of collective intelligence, theories of programming languages, and formal methods. The last discovers high quality information from largely accumulated development history in repositories.

Intelligent Software Engineering Laboratory

Intelligent Software Engineering LaboratoryMembers : Prof. Jianjun Zhao / Asst.Prof. Yaokai Feng / Asst.Prof. Yoichi Omori

keywords : Intelligent Software Engineering, Software Testing, Deep Learning, Program Analysis and Verification, Programming Language, Artificial Intelligence, Automatic Programming

Software engineering (SE) is the systematic application of scientific and technological knowledge, methods, and experience to the design, implementation, testing, and documentation of software. Artificial intelligence (AI) is a study on the design and realization of an intelligent information processing system by computer. The intelligent software engineering laboratory aims to construct reliable and secure software systems and AI systems by synergizing software engineering with artificial intelligence. Specifically, we are doing research with three directions.

  1. Software engineering for AI: We are developing methods to deeply understand defects (bugs) and adversarial examples in artificial intelligence (deep learning) systems, and approaches (analysis, testing, debugging, and verification) to guarantee the reliability and security of artificial intelligence (deep learning) systems.
  2. Software Automation: We are developing approaches for automatic code generation and bug fixing of software systems using artificial intelligence (deep learning).
  3. Intelligent IDE: We are building intelligent software development environments.

Human-centered Intelligence Laboratory

Human-centered IntelligenceMembers : Assoc.Prof. Tsunenori Mine

keywords : Data Mining, Text Mining, Information Sharing, Information Recommendation, Personalization, Machine Learning, Multi-Agent Systems

We aim to study human-centered intelligence. To this end, we analyze real data under real situations and develop mechanisms to estimate, extract, or acquire information users want and provide it to them when they need, considering their contexts, intentions, preferences, interests, and privacy issues. For example, to share and leverage information to help user mobility, we are developing an information sharing and leveraging platform for smart mobility called Ito Campus Life:, and a platform to record, reuse and leverage information about people’s communication situations recognized in real world, called Real SNS. To capture and predict road congestions at some specific area, we conduct mining of time-series location data such as vehicle probe data. We also conduct mining of open data provided by municipalities to find and leverage information to enrich civil life and to take away concerns and troubles on everyday life. Further, collecting and analyzing student comments about their learning written after every lesson, we develop methods to estimate their learning situations or performance and build mechanisms to give feedback to them to improve their learning motivations and activities.

Advanced Software Engineering

Advanced Network and Cybersecurity Laboratory

Advanced Network and Cybersecurity LaboratoryMembers : Prof. Koji Okamura

keywords : Internet, Malicious software analyzing , White Hacker, Cyber Range, SDN (Software Defined Network), Machine Learning

The main research topics in this laboratory is Advanced Internet and Cybersecurity. Various research themes on networking and security are ongoing with companies and international partners in the world.

Information Communication Engineering (E-JUST)

Wireless Communication Laboratory

Wireless Communication LaboratoryMembers : Assoc.Prof. Osamu Muta

keywords : Wireless Communications, Cellular phone, Wireless LAN, MIMO, Modulation/Demodulation

To deal with the rapid increase of mobile data traffic in wireless communications, it is required to develop wireless communication techniques which achieve high spectrum efficiency. In our laboratory, we are doing researches on signal processing and data transmission techniques for future wireless communication systems.