In the ages of information and network societies, the relationships among Artificial Systems such as machines and Man or Environments (natural or social) become more and more complex and are hard to be coordinated. The Division searches for effective coordination among them by theoretical, methodological and technical approaches based on Systems Theory, Control Engineering, Artificial Intelligence, Cognitive Science, Human Interface and Media Technologies, Robotics and Reliability Engineering thus yielding harmonious Symbiosis among them.

• Mechanical Systems Control
  Current research activities cover the various fields of control of mechanical systems. In particular, we focus on the research on advanced control theory and robotics. The individual research subjects include (i) robust control theory, (ii) system modeling for control, (iii) nonlinear systems control, (iv) development of various mechatronics systems, (v) dynamics based control of robots, (vi) mechanical speech synthesizer, and (vii) rescue robot projects.
  
  
• Human Systems
  Mutual cooperation between human and machine is vital for any engineering systems. Our field clarifies scientific as well as engineering approaches to maximizing positive aspects of human and machine, while minimizing negative ones. Current research targets include automobile, high-risk plants, dynamic systems, all involving humans as organic elements.
  
  
• Symbiotic Systems
  We investigate key issues and methodologies for the Coordination and Symbiosis among Man, Systems and Environments by referring not only to the traditional system design methodologies yielding rational and efficient coordination but also to the Complex Systems characteristics of man and environments which might be utilized to yield harmonious symbiosis among them based on Ecological and Bio-informatic systems approaches together with Intelligent Information Processing techniques and Artifacts Engineering.
  
  

For intelligent systems, the acquisition of information about themselves and their surroundings is prerequisite to attain their self-stabilization and to enhance their own functions. The Division performs the education and research from the standpoint of applied mathematics for solving a variety of problems in Systems Synthesis: the artificial realization of adaptive and learning abilities in humans and the living things as well, and the modeling and information processing for exploring systems advanced functions.

• Adaptive Systems Theory
  We are concerned with the education and research for pursuing intelligent systems associated with the adaptive and learning aspects. Specifically, we are looking at various problems in the adaptive control theory, iterative learning control, reinforcement learning, anthropomorphic biped walking robot, and theory of decision making.
• Mathematical System Theory
  Our research and teaching concern analysis and synthesis of mathematical models for probabilistic and statistical problems appearing in many systems, and development of efficient algorithms in practical implementations. Current research projects include time series analysis, various adaptive algorithms in digital signal processing, neural networks and computational learning theory, texture analysis in statistical image processing.

• Information systems
  Research interests in the laboratory include mathematical modeling and the theoretical analysis of information and communication systems, transportation systems, and manufacturing systems. Current activities are concerned with the following and related topics:
  1. Modeling and performance analysis of information and communication systems
  2. Queuing(Traffic) theory and its application to computer communication systems
  3. Integration of database mining and statistical analysis for network management
  4. Stochastic analysis of discrete event systems
  5. Performance evaluation of multi-media communication networks
• Image Processing Systems
  "Image" or "Picture" plays a key role as information interface in various systems. We research and educate topics concerned with Image Recognition, determinal quantity measurement from multi-dimentional image, visualization of various information, and relationship between human sensitivity and image.
• Biomedical Engineering
  Researchers of the medical systems are in between the two huge research field, information science and biology, and are required to connect them. The research activities in Biomedical Engineering Lab. cover magnetic resonance imaging (MRI), signal processing and multimedia systems including haptics for medical field.
  

• Super Computing (in Japanese)
  Kanazawa lab. performs both education and research activities for large-scale information systems, including supercomputers in practical application areas. We have studied about grid computing technology, a fat-SMP cluster type supercomputer, high performance computing, and broadcast computing.
• Media Computing
  The primary research target of our laboratory is innovative architecture for high-performance computing. We are also pursuing the studies on infrastructural and application software for parallel processing.