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● Department of Systems Science New Frontier in Informatics and Systems Research and education in the Department of Systems Science deal with a new and unified approach to a variety of technological problems from the standpoint of systems science. In particular, the approach requires the study of complex systems in the light of self-regulation, self-organization, and self-production. Emphasis is also placed upon the understanding of complicated mutual interactions, hierarchical systems, distributed or parallel self-determination, humanmachine interfaces, biomedical engineering, and medical information systems. 37 Graduate School of Informatics Department of Systems Science Divisions and Groups Division Human Machine Symbiosis System Synthesis Group Mechanical Systems Control SUGIE Toshiharu Associate Professor Assistant Professor ISHIKAWA Masato AZUMA Shun-ichi Human Systems KUMAMOTO Hiromitsu NISHIHARA Osamu HIRAOKA Toshihiro Symbiotic Systems KATAI Osamu KAWAKAMI Hiroshi SHIOSE Takayuki Adaptive Systems Theory TANAKA Toshiyuki OGINO Katsuya NAKAMURA Kazutaka Mathematical System Theory SAKAI Hideaki IKEDA Kazushi HAYASHI Kazunori Information systems Systems Informatics Professor TAKAHASHI Yutaka KASAHARA Shoji Image Processing Systems Biomedical Engineering Applied Informatics MATSUDA Tetsuya MASUYAMA Hiroyuki SUGIMOTO Naozo SEKIGUCHI Hiroyuki AMANO Akira MIZUTA Shinobu KANAZAWA Masanori IWASHITA Takeshi YOSHIHISA Tomoki Graduate Curriculum Subjects for Master’s Program Control Theory for Mechanical Systems Theory of Symbiotic Systems Statistical Systems Theory Image Processing Systems Medical Information Systems Advanced Study in Systems Science 1 Systems Sciences, Advanced Subjects for Doctoral Program Seminar on Systems Science, Advanced Seminar on Systems Synthesis, Advanced Seminar on Applied Informatics, Advanced Theory of Human-Machine Systems Adaptive Systems Theory Theory of Information Systems Medical Image Media Applied Informatics, Advanced Advanced Study in Systems Science 2 Seminar on Human Machine Symbiosis, Advanced Seminar on Systems Informatics, Advanced Graduate School of Informatics 38 Department of Systems Science Human Machine Symbiosis 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, and (v) hybrid control. (Professor: SUGIE Toshiharu, Associate Professor: ISHIKAWA Masato, Assistant Professor: AZUMA Shunn-ichi) Human Systems Trident Snake Robot Mutual cooperation between human and machine is vital for any engineering systems. Our group 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. (Professor: KUMAMOTO Hiromitsu, Associate Professor: NISHIHARA Osamu, Assistant Professor: HIRAOKA Toshihiro) Steer-by-wire experiment device for humanmachine study 39 Graduate School of Informatics Department of Systems Science Symbiotic Systems We investigate key issues and methodologies for the Coordination and Symbiosis among Man, Systems and Environment 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 environment which might be utilized to yield harmonious symbiosis among them based on Ecological and Bio-inspired systems approaches together with Intelligent Information Processing techniques, Media technologies and Artifacts Engineering. (Professor: KATAI Osamu, Associate Professor: KAWAKAMI Hiroshi, Assistant Professor: SHIOSE Takayuki) Systems Synthesis For intelligent systems, the acquisition of information about themselves and their surroundings is prerequisite to attainment of their self-stabilization and enhancement of 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 ―Theoretical Approaches to Systems That Adapt, Learn, and Infer― Digital communications as data mining: How one can extract desired information out of many intermixed signals is the key to highperformance digital communications. Adaptation, learning, and inference abilities are intelligent functions embodied by living things as well as humans. We investigate theoretical issues that are important for realizing artificial systems with such intelligence. Having in mind applications to artificial intelligence, pattern recognition, data mining, and digital communication theory, we pursue various problems such as probability-based inference and learning theory, that allows us to extract meaningful information out of uncertain environments, statistical-physics approach to information processing, in which large-scale probability models are studied via an analogy with statistical mechanics, and decision making on the basis of multi-agent system and game theory. (Professor: TANAKA Toshiyuki, Associate Professor: OGINO Katsuya, Assistant Professor: NAKAMURA Kazutaka) Mathematical System Theory A framework of adaptive filters 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 machine intelligence, digital signal processing in communication systems. (Professor: SAKAI Hideaki, Associate Professor: IKEDA Kazushi, Assistant Professor: HAYASHI Kazunori) Graduate School of Informatics 40 Department of Systems Science Systems Informatics The division performs the education and research from the standpoint of systems science and information science for solving a variety of problems in various kinds of practical systems. Current education and research program is concerned with information and communication systems, image processing systems, and systems in biomedical engineering. We have concerns about not only practical systems but also theoretical approaches. Information Systems Research interests in the group include mathematical modeling and 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. Queueing (Traffic) theory and its application to computer communication systems 3. Management and control of autonomic networking 4. Stochastic analysis of discrete event systems. 5. Performance evaluation of multi-media communication networks. (Professor: TAKAHASHI Yutaka, Associate Professor: KASAHARA Shoji, Assistant Professor: MASUYAMA Hiroyuki) Image Processing Systems Images can be treated as one of the most important materials for the interface in the information science. Our research activities cover the various fields of image processing. The individual research subjects include: 1. Image Processing General 2. Medical Image Processing 3. Multi-Dimensional Image Processing 4. KANSEI Image Processing 5. Image Display (Associate Professor: SUGIMOTO Naozo, Assistant Professor: SEKIGUCHI Hiroyuki) Multi-Dimensional Image Processing ─Medical, Traffic, Multimedia─ Biomedical Engineering The current research activities in the group cover signal / image processing and multimedia systems for medical field. The individual research subjects are: 1. Dynamic biosimulation of the heart 2. Measurement and analysis of human organ elasticity with MRI 3. Haptic representation of human organ / tissue using VR / AR technology 4. Construction of 3D image database of human embryo (Professor: MATSUDA Tetsuya, Associate Professor: AMANO Akira, Assistant Professor: MIZUTA Shinobu) 41 Graduate School of Informatics Three-dimensional display of human embryo obtained with MR microscopy Department of Systems Science Applied Informatics (Academic Center for Computing and Media Studies) The current research activities cover large scale systems theory. 1. High performance computing and communications 2. Grid Computing 3. Operating systems for computer centers 4. Parallel Computing 5. Electromagnetic Field Analysis (Professor: KANAZAWA Masanori, Associate Professor: IWASHITA Takeshi, Assistant Professor: YOSHIHISA Tomoki) Graduate School of Informatics 42