Principles, Models and Algorithms of Machine Learning and its Application to Scientific and Engineering Fields

On the back of the digital transformation (DX) of social infrastructure and the strong interest in SDGs, the knowledge and technologies cultivated so far in the field of information science are in the phase of accelerating expansion to various scientific fields, industries and society in recent years. In particular, machine learning has become widely recognized as one of the most important fundamental information fields, which supports AI technologies rapidly pervading society, and is playing a indispensable role for the further development of increasingly sophisticated and diversified information infrastructure. In this laboratory, we will carry out basic study on new principles, algorithms, and models of machine learning, and at the same time, implement machine learning as a system and apply it to various fields while incorporating next-generation computing technology and software engineering that have been rapidly developing in recent years. Through the development and practice of information technology for this purpose, we will work on research activities and human resource development that contribute to solving problems in the increasingly large-scale and complex society and scientific fields, as well as wide-ranging information science.

2008.3 Dr. Eng., The University of Tokyo
2008.4 Postdoctoral Researcher, Tokyo Institute of Technology
2009.10 Assistant Professor, Institute of Scientific and Industrial Research, Osaka University
2010.10 PRESTO Research Fellow, Japan Science and Technology Agency (Concurrent post, -2014.3)
2013.4 Associate Professor, Institute of Scientific and Industrial Research, Osaka University
2016.9 Team Leader, RIKEN Center for Advanced Intelligence Project (Concurrent post, - present)
2019.4 Professor, Institute of Mathematics for Industry, Kyushu University
2022.10 Professor, Graduate School of Information Science and Technology, Osaka University