MIKI Laboratory

Yoshio MIKI: Professor

Business activities, human behaviors and industrial sensors, these huge amount of data have been analyzed in order to improve the potential issues that were not visible with conventional sensing technology or data processing. These types of data contains many 'unknown facts'. In the corporate management, in spite of creativity and innovation of business are strongly needed, those unknown facts are not fully utilized. This is because there is a gap between corporate management and information processing technology. We attempt to develop engineering skills who can work as a CIO or a new business planner in the enterprise, with combining the business knowledge with information technologies.

Topics of research
  • Human Action Analysis using the Sensor Mixing
  • System Failuer Detection from Time-sequence Data
  • In-memory Computing Arhitecuture for Big Data Analysis
keyword Real-world Sensing / Big Data Analysis / In Memory Data Processing
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Graduate School of Engineering