Projects / Themes (Group C)

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Group C

Research Target: To develop intelligent communication technologies with a more than tenfold improvement in recognition capability and performance, and intelligent information systems with autonomous recognition and prediction of the environment.
Prof. Michitaka Kameyama (Graduate School of Information and Sciences)
Theme Intelligent Integrated Systems for Real-World Applications
Prof. Yoiti Suzuki (Research Institute of Electrical Communication)
Theme Clarification of the Sense of Presence and its Application to Advanced Acoustic and Multi-Modal Information Systems
Objectives Investigating the information processing in the brain that integrates multimodal sensory information spatially and temporally to realize highly realistic, stress-free and natural multi-modal communication systems.
Prof. Naoki Kobayashi (Graduate School of Information and Sciences)
Theme Software verification for trustworthy computing
Objectives To develop verification techniques for checking critical properties (e.g. deadlock, memory leakage) of large (>10,000 lines) software
Prof. Takeshi Tokuyama (Graduate School of Information and Sciences)
Theme Analysis of geometric discrete structure and design of efficient algorithms
Objectives To analyse Geometric Discrete Structure Arising from Data Mining Problems, design Efficient Approximation Algorithms for Geometric Optimization Problems, analyse Time Complexity and Approximation Ratio for Proposed Algorithms, and develop Data Mining System Using Proposed Algorithms
Prof. Kazuyuki Tanaka (Graduate School of Information and Sciences)
Theme Fundamental Theory of Probabilistic Computational Models for Inference Systems
Objectives Probabilistic information processing can give us unexpected capacity in a system constructed from many cooperating elements with randomness. The circumstances are similar to everything in the natural world being made up of a lot of molecules with interactions and fluctuations. The collection of molecules can give rise to unpredictable phenomena. This is often called “More is different” in the physics. In this research plan, we promote research projects for computational intelligent systems under the common concept of “More is different in informatics as well.” Our goal is to establish strong theoretical paradigms for probabilistic information processing to affect information communication technology by means of statistical science and statistical physics. The probabilistic information processing is based on both modeling of problems and design of algorithms, which is often realized as graphical models including Bayesian networks. We develop novel and practical algorithms of probabilistic information processing.
Prof. Takafumi Aoki (Graduate School of Information and Sciences)
Theme Real-World Signal Processing and Secure VLSI Computing based on Phase-Only Correlation