Research

Grants-in-Aid for Scientific Research

Grants-in-Aid for Scientific Research are competitive research funds that are intended to significantly develop all scientific research (research based on the free ideas of the researcher), from basic to applied research in all fields, ranging from the humanities and the social sciences to the natural sciences. The grants provide financial support for creative and pioneering research projects that will become the foundation of social development. The research projects are selected using a peer-review screening process (screening by multiple researchers whose field of specialization is close to that of the applicant).
Research results obtained under these Grants-in-Aid are widely published in academic journals.
From FY1999, some functions of the Grants-in-Aid program were transferred to JSPS from Monbusho (now Monbu Kagakusho [Ministry of Education, Culture, Sports, Science and Technology (MEXT)]).

Grant-in-Aid for Transformative Research Areas (A)

• Photonic Approximate Computing Highlighting Ultimate Nature of Light
  Principal Investigator: Professor, Information Systems Architecture Science Research Division, KOIBUCHI, Michihiro

This research investigates photonic approximate computing that utilizes multi-value representation capability to the extreme. With classical computers, each signal is processed one bit at a time. In contrast, this approximate computing performs multi-value processing on each wavelength, making it possible to achieve computational speeds up to 10 times the current speeds.
The trade-off of using multi-value processing is that reliability and technological maturity become a challenge. This R&D work is focused on algorithms, processing systems, and architecture for approximate processing in photonic computing. A key feature of this approximate computing is that it uses wide-band I/O, taking full advantage of co-packaged optics (CPO), a photonics- electronics convergence technology, and on-board silicon photonics-based transceivers. Ultimately, this team will be the first in the world to successfully integrate approximate computing and photonic computing, and to demonstrate a system architecture that takes advantage of the extreme performance potential of light.

Grant-in-Aid for Scientic Research (S)

• Graph Algorithms and Optimization: Theory and Scalable Algorithms
  Principal Investigator: Professor, Principles of Informatics Research Division, KAWARABAYASHI, Ken-ichi

In recent years, as what is called the "fourth paradigm" of (data-intensive) scientific discovery has emerged, information processing technology has become indispensable to almost every field of science. Given that algorithms are the driving force of high-performance processing, their study is more vital than ever. For example, current algorithmic innovations in information retrieval, privacy protection, and other areas are fueling the creation of national-scale businesses. This study utilizes mathematical tools to enrich and strengthen the theoretical foundations of algorithms (especially graph algorithms), to try to increase the speed and scalability of algorithms.

There are three main research topics:
1. Structure analysis in discrete mathematics and graph algorithms
2. Online algorithm development and its application to machine learning
3. Application of algorithmic techniques to machine learning

JST CREST

[Society 5.0 System Software] Creation of System Software for Society 5.0 by Integrating Fundamental Theories and System Platform Technologies

• Zero Trust IoT by Formal Verification and System Software
  Principal investigator：TAKEFUSA Atsuko, Information Systems Architecture Science Research Division, Professor

[Trusted quality AI systems] Core technologies for trusted quality AI systems

Research Director：AIZAWA Akiko, Digital Content and Media Sciences Research Division, Professor / Acting Director-General / Vice Director-General

• Trust Interaction Design for Convincing Human-AI Cooperative Decision Making and its Social Penetration
  Principal Investigator：YAMADA Seiji, Digital Content and Media Sciences Research Division, Professor

JST PRESTO

[Trustworthy AI] The Fundamental Technologies for Trustworthy AI

• Deep reinforcement learning to determine robustness and security performance limits
  Principal Investigator：KOBAYASHI Taisuke, Principles of Informatics Research Division, Assistant Professor

[IoT] Future Led by IoT

• Security and Privacy for Cooperative Autonomous Vehicles
  Principal Investigator：AOKI Shunsuke, Information Systems Architecture Science Research Division, Assistant Professor

Japan Society for the Promotion of Science (JSPS) ： International Joint Research Program with the U.K. (JRP-LEAD with UKRI)

• Understanding cross-signing phenomena in video conferencing situations during and post-COVID-19
  Principal Investigator：BONO Mayumi,Information and Society Research Division, Associate Professor