Design of Social Information Network Systems

From outdoor/indoor spaces to human brains: society design with information networks

Targets are information networks in the various aspect from outdoor/indoor spaces to human brains. The keys are 1) sensing and communication/computation processing that maximize accuracy and speed of machine learning tasks performed by AI; 2) blockchain for IoT that securely manage sensor data. For road traffic, vehicles and pedestrians are tracked with no blind spots to eliminate accidents. Information models constructed from brain sensing bring about comfortable information space for each individual. Our information network technology will develop the society that truly satisfies people.

College of Engineering Computer and Communications Engineering Computer Science and Engineering / Graduate School of Engineering and Science(Master's Program) Electrical Engineering and Computer Science Course / Graduate School of Engineering and Science(Doctor's Program) Functional Control Systems Course
Faculty Name
SHINKUMA, Ryouichi
Keyword
3D image sensing,Network AI,IoT blockchain,Brain information model
Laboratory location
Research Building TOYOSU Campus 14F 14Q32

This lab is for this SDG activity:

  • すべての人に健康と福祉を
  • 産業と技術革新の基盤をつくろう
  • 住み続けられるまちづくりを

STUDY FIELDS

  • Information network
  • Communication system engineering
  • Information system engineering
  • Mathematical engineering

FOR SOCIETY

Toward smart cities, we are developing the sensor network platform applicable for smart monitoring, which are demonstrated through experiments in the real outdoor/indoor environments.

RESEARCH THEMES

  • 3D image sensing

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