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Applied Data Science Lab
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A research division that studies flow simulation, visualization, and data protection.
AboutAbout the lab
Handling data with computing and communication technologies
The Applied Data Science Division is a research division of the Research Institute for Information Technology, where Professor Kenji Ono studies computational fluid dynamics, visualization, and parallel computing.
Professor Ono develops simulators for thermal fluid flow around objects with complex shapes, as well as technologies for large-scale parallel visualization systems.
Associate Professor Toshihiro Uchibayashi studies mechanisms in edge computing that prevent data from being sent to unintended places.
The division also works on infrastructure for distributing personal data and on supporting regional public transportation.
Key terms
- Computational fluid dynamics
- A field that studies fluid flow through numerical computation on computers
- Visualization
- Technology that turns large amounts of numerical data obtained from calculations into images so that people can understand them visually
- Edge computing
- An approach in which data is pre-processed on edge servers placed within a nearby network before being sent to the cloud
ResearchResearch themes
Professor Kenji Ono studies computational fluid dynamics, which reproduces fluid motion on computers, and visualization, which makes large-scale computational results understandable by viewing them. Associate Professor Toshihiro Uchibayashi studies network technologies for handling data securely. The Research Institute for Information Technology, to which the division belongs, is built around computational science, information science, and data science, and conducts research and development in a wide range of information-related fields, including communications, information security, and educational support.
*Illustrative imageSimulating Flows Around Complex Shapes
The division develops simulators that reproduce thermal fluid flow around objects with complex shapes on computers. Cartesian grids and grid generation are also listed as research keywords.
*Illustrative imageVisualizing Large-Scale Computational Results
The division works on developing technologies for parallel visualization systems that let researchers view large-scale computational results as images. It also covers image compositing methods and mechanisms for displaying results on ultra-high-definition displays.
*Illustrative imageData Protection Mechanisms at the Edge
The division develops information protection mechanisms for edge computing, in which data is processed on a nearby network before being sent to the cloud. These mechanisms control data so that it is not sent to unintended places.
Infrastructure for Personal Data Distribution
When companies share data with each other, there is a risk that customers' personal data is mixed in unintentionally. The division develops a data distribution infrastructure that allows safe data sharing.
MembersFaculty
- ProfessorKenji Ono
- Associate ProfessorToshihiro Uchibayashi
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Image-based flow visualization” Anders Sandberg / CC BY-SA 3.0 (cropped)
- Simulating Flows Around Complex Shapes: “DLR LNA airflow simulation” DLR / CC BY 3.0 (cropped)
- Visualizing Large-Scale Computational Results: “Data Quality and Visualization of Brazilian Scientific Production on Hearing Health - Datatona II 8” CorraleH / CC BY-SA 4.0 (cropped)
- Data Protection Mechanisms at the Edge: “Edge computing infrastructure” NoMore201 / CC BY-SA 4.0 (cropped)
- Related lab (〈汎オミクス計測・計算科学〉): “A Data-Driven Journey to the Center of the Eath” OLCF / CC BY 2.0 (cropped)
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