Intellectual Information Engineering
Our life is dramatically changing with the rapid development of new technologies such as the internet, multimedia, computer graphics movies, and 3-D games. These fruitful technologies are the consequences of many years of the incessant efforts of information engineers and researchers. The Department of Intellectual Information Engineering offers three training courses for raising information engineers and researchers who will lead the fields of the new technologies over the coming decades.
Intellectual Systems Engineering
This course focuses on the essential expertise of and research on system engineering, pattern recognition, knowledge information processing, algorithmic analysis, and computer simulations to develop intellectual information systems in the real world.
Prof. Shigeki Hirobayashi / Associate Prof. Tadanobu Misawa
Aiming to study new signal processing, and to explore its possibilities and applications. Signals of interest include sound, images, economics,finance, cosmic ray, biological signals (for example, EEG, MRI, NIRS and OCT), and many others. Processing of such signals includes denoising,compression, visualization techniques, and brain-computer interface.
Algorithm analysis / Pattern recognition
Associate Prof. Mitsuru Sakai
Pattern recognition technic are utilized also for safe and secure.
Prof. Yuukou Horita / Lecturer Yasuhiro Inazumi / Assistant Prof. Keiji Shibata
1）Image quality assessment / Video quality assessment using biological information. (EEG, NIRS, Electromyogram, etc.)
2）Assessment methodology for Quality of Experience (QoE).
3）Intelligent transport systems and its related image processing, image analysis.
4）Web-based image processing, and image analysis.
Prof. Masahiro Sato / Lecturer Takayuki Haruki
Simulation means to reproduce phenomena that are difficult to do in the real world using computers. We aim to understand the various physical processes which happens in nature, life science and engineering. Edutainment is also included in our research topics. In our research studies, technology such as parallel computing and virtual reality is needed.
Multimodal Information Engineering
This course focuses on the intrigue sensory information mechanisms of human such as the visual and acoustic nervous systems. This course offers expertise required to investigate the foundations of these mechanisms.
Prof. Yoshio Nakashima / Associate Prof. Mamoru Takamatsu
Reseach on Vision, Brain, Light and Hue
In our laboratory, research on the information processing about "vision", "light" and "kansei engineering" which attracts big attention in recent years, etc. are broadly studied from the foundation to application.
Neural Information Technology
Associate Prof. Toshihide Tabata
We study how biological systems including the brain work in order to provide the scaffolding for developing truly intelligent computers. We perform experimental research using cutting-edge techniques of electrophysiology, cellular imaging, behavior study, genetics, molecular biology, signal processing, etc. in collaboration with various institutes and firms inside and outside Japan.
Media Information Engineering
This course focuses on the core theories of systems and applications that enable our modern multimedia-dependent life such as advanced telecommunication network, neuroinformatics, intelligent information processing, and coding and information security.
Information Communication Networks
Prof. Koji Kikushima / Lecturer Hiroshi Kakuhata
Toward the Realization of a Ubiquitous Network Society
Human Information Processing
Prof. TANG Zheng / Research Assistant Kazuya Yamashita
1) Research on intelligent information processing in general (neural networks /learning /models /applications)
2) Research on human interface technology
Prof. Kiyoshi Tamaki / Lecture Tatsuto Murayama
We are working on quantum information where application of quantum mechanics offers revolutionary improvements to information processing. In particular, we are aiming at realizing quantum communication, such as quantum key distribution and quantum repeaters. We also apply Shannon's classical information theory to modern sensing and communications issues.