Hiroshi Ueno

Frequency Biology Project
Project Engineer

To ensure the sustainable use of marine resources, it is essential to collect scientific data that enables accurate assessment of impacts on marine ecosystems and the carbon cycle. In particular, technologies that can precisely measure the rapid and periodic movements of microscopic organisms such as plankton are especially important.
However, even when advanced measurement technologies are established, their full value cannot be realized if the resulting data remains in the hands of individual researchers. This project therefore focuses on developing a cloud-based platform for analyzing and sharing sensor data. By linking it with existing services that support marine biodiversity research, we aim to build an infrastructure that supports the entire workflow, from measurement and analysis through to data publication. In addition, for AI-based image processing, we use simulated images that reproduce characteristic movement patterns to supplement data that is difficult to obtain in the field.
Through these efforts, I hope to contribute to society by drawing on my experience in system architecture design, network system development, and optimization to establish a "Frequency Biology" technology that balances practical utility with high quality.