GRADUATE SCHOOL OF FRONTIER SCIENCES
Ryosuke Shibasaki／Professor ／Division of Environmental
Department of Socio-Cultural Environmental Studies／／Spatial Information (Sensing, Simulation and Services)
1980: Graduated, Faculty of Engineering, Graduate School of Civil Engineering, The Univ. of Tokyo
1982: Graduated, Graduate School of Engineering, Univ. of Tokyo
1987: Doctoral Degree of Eng. (by submission of Paper)
1982-1988: Research Engineer, Public Works Research Institute, Ministry of Construction 1988-1991: Associate Professor, Faculty of Engineering, The University of Tokyo.
1991-1998: Associate Professor, Institute of Industrial Science, The University of Tokyo.
1998-present: Professor, Center for Spatial Information Science, The University of Tokyo 1998-present:Professor, Institute of Industrial Science, The University of Tokyo.
2005-present: Director, Center for Spatial Information Science, The University of Tokyo
Graduate school: Spatial Information Development, Training course for Spatial Information Systems (Division of Environmental Studies), Geographic Information Systems (Graduate school of Civil Engineering, The University of Tokyo)
Graduate Schoool of Chuo University: Information management for Crisis Management Undergraduate: Spatial Information Science II (Department of Civil Engineering, The University of Tokyo)
* 3D mapping of urban space (1988 to present)
Develop integrated sensor system consisting of CCD imaging sensors, laser scanner, IMU/GPS for a variety of platforms, such as satellite, airplane, UAV, vehicles, carriage, and human (hand-held), and automate mapping of 3D urban space and changes in buildings and structures.
* Measurement and Monitoring of the movement and behavior of human and moving objects in urban space(1998-present) By integrating laser scanners, CCD imaging sensors, mobile positioning systems, and data integration methods, we can measure and monitor the movement and behavior of humans and moving objects and visualize their dynamics.
*Modeling context of human behavior and its application to context-aware services (2000-present) By monitoring human behavior with senseing techniques and estimating the context behind it using a behavioral model, we can develop methodologies and experimental systems for context-aware proactive services.
Behavioral context in migratory walkings
*"Self-information platform" enables people to systematically manage all personal information and to use it for themselves (2002-present)
Many companies, such as Amazon and Google, are making enourmous efforts to collect personal information(personal attribuetes, purchases records, communication logs) of users in order to provide personalized and context-aware services. However, such efforts may threaten to encroach on privacy and will not succeed in gathering all necessary information.To realize ultimate personalized information, the only feasible and sustainable way of accumulating comprehensive personal information is to let people accumulate and manage all their personal information in order to use it for themselves. We propose a concept of "self-information platform" enabling people to accumulate and manage all their personal information, and are developing standard interfaces to easily collect various personal activity records such as purchase records, travel records, and exploring the possibility of "ultimate personalized services".
Concept of Self-information platform
*Digital landscape modeling (1991-present) We have developed "digital landscape models" to simulate how choices by people and society will alter environment and landscape (including land use, cities, and industries) at the global scale and how these changes of landscape affect people's activities and society and how people, society, and landscape will adapt themselves to global warming by integrating micro-simulation models of human behavioral choices, socio-economic models, and technology development models on a GIS platform.
World cropping systems and satellite image analysis
*Micro geo-spatial data mining for exploratory urban analysis (2004-present)
Currently, we have a large variety of micro digital data on urban areas and related human/industrial activities, such as telephone directories, detailed house maps, and web/blog-based information. Such data are constantly revised and are an accurate reflection of what is happening in cities. We geo-code and identify each data on a map, extract changes and associations among the data, and analyze/visualize changes in space and time through spatio-temporal data mining.
Mapping urban activity changes using telephone directory and detailed house maps
*Semantic interoperability for sharing and integrating heterogeneous geo-spatial information
Information including geo-spatial information, is generated and understood in a specific context or domain knowledge. This means that understanding information requires specific domain knowledge. In order to allow users to understand the meaning of information originally generated in different domains or achieve "semantic interoperability", information must to be distributed together with the background domain knowledge, which is called ontology. We developed a framework for managing information and domain knowledge in order to support the sharing and integrating of heterogeneous geo-spatial information. For the integration of global earth observation data in particular, we are developing the following: 1) semantic MediaWiki to accomodate ontological information, such as definitions of technical terms and concept classification schemes, and 2)registry for data schema with links to the Semantic MediaWiki.
Ontology information to sharing Global Earth Observation Data
International Standardization Activities in ISO/TC211(Geospatial information)
Support activities to establish syntactic/semantic interoperability of global earth observation data with GEO(Group of Earth Observation).
Supporting Japan Association of GIS and Asian GIS Association.
Supporting legislation of Fundamental Law of Geospatial Information and National Planning Process.
Digital information is expected to play an increasingly important roles in society. We developed sensing, simulation, and service generation technologies and helped establish frameworks to use information more effectively for people, organizations, and society, based on an in-depth understanding of the interactions among humans, society and information.For example, we investigated how human behavior/activities are associated with the intentions behind them, the mechanisms of how information environment affects human's feelings, thinking, and finally behaviors, and how and what meaning humans extract/understand from available information. We continue to make efforts to move society forward by demonstrating concrete research achievements and by proposing strategic ways of moving forward.
The only way, I believe, to satisfy yourself and make a unique contribution to society is to do what you love to do. Let's start this positive feed-back loop together.