Keio AI Research Center

• Return to Project List

Summary

Keio University, Carnegie Mellon University (CMU), and partner institutions foster interdisciplinary collaboration on AI. The research will focus on embodied AI, multilingual AI, autonomous AI that coexists with humans, and AI for scientific discovery.

SDGs

Operational Period

2024/09/14～2029/03/31

Members

◎ indicates the project leader

Name	Affiliation	Position	Field of Specialization/Research Interests
◎ Komei Sugiura	Faculty of Science and Technology	Professor	Machine Intelligence
Hideo Saito	Faculty of Science and Technology	Professor	Visual Computing
Yoshimitsu Aoki	Faculty of Science and Technology	Professor	Computer Vision
Mariko Isogawa	Faculty of Science and Technology	Associate Professor	Computer Vision
Koji Mineshima	Faculty of Letters	Associate Professor	Computational Linguistics
Hiroki Matsutani	Faculty of Science and Technology	Professor	Computer Architecture
Shinnosuke Takamichi	Faculty of Science and Technology	Associate Professor	Spoken Language Processing
Satoshi Kurihara	Faculty of Science and Technology	Professor	Complex Network Science
Michita Imai	Faculty of Science and Technology	Professor	Human-Robot Interaction
Maki Sugimoto	Faculty of Science and Technology	Professor	Human Interface
Hirotaka Osawa	Faculty of Science and Technology	Associate Professor	Human-Agent Interaction
Masaki Takahashi	Faculty of Science and Technology	Professor	Control Engineering
Takahiro Yakoh	Graduate School of System Design and Management	Professor	System Engineering
Kenji Yasuoka	Faculty of Science and Technology	Professor	Molecular Dynamics
Takahiko Koyama	Human Biology Microbiome Quantum Research Center	Project Professor	Bioinformatics
Akira Funahashi	Faculty of Science and Technology	Professor	Systems Biology
Miho Hatanaka	Faculty of Science and Technology	Professor	Theoretical Chemistry
Yasushi Narushima	Faculty of Science and Technology	Professor	Mathematical Optimization
Chise Ishii	KGRI	Collaborative Researcher	continuous optimization, numerical analysis, machine learning, discontinuous dynamical systems, nonsmooth analysis (particularly interested in establishing convergence analysis for numerical optimization from the perspective of dynamical systems by focusing on the analogies between the two fields (optimization and numerical analysis), as well as their applications.
Toshio Oka	KGRI	Collaborative Researcher	Machine learning, including OCR(optical character recognition) and LLM(large language models)
Motoki Ogata	KGRI	Collaborative Researcher	Deep Learning using unstructured data like voice data, image data, 3D model, Business process automation using AI
Tomoya Kaichi	KGRI	Collaborative Researcher	Computer Vision and Machine Learning
Yuya Sasaki	KGRI	Collaborative Researcher	Software Engineering, Large Language Models
Kazufumi Torii	KGRI	Collaborative Researcher	Driving behaviors of senior drivers
Kazumi Fukuda	KGRI	Collaborative Researcher	AI, Machine learning, CV/CG, Image/Audio signal processing
Shuntaro Miyakawa	KGRI	Collaborative Researcher	Lithium-ion battery, Lithium-metal anode, Surface modification
Azusa Sawada	KGRI	Collaborative Researcher	Recognition of image and time series data