TEACHING

Educating People Who Can Use AI to Help Others Live Better

My teaching focuses on the responsible and creative use of artificial intelligence, robotics, and data science to address human and societal challenges.

I encourage students to move beyond asking only whether a system is technically accurate. They should also ask how it changes human behavior, relationships, autonomy, and well-being. Through project-based learning, students develop the ability to formulate meaningful research questions, design rigorous evaluations, and communicate their findings to both academic and non-academic audiences.

Teaching

Undergraduate Project-Based Exercise in Mechano-Informatics

Department of Mechano-Informatics, Faculty of Engineering
A Semester

Students learn to integrate mechanical engineering, information science, sensing, and intelligent-system design through hands-on projects.

Graduate Exercise in Mechano-Informatics

Department of Mechano-Informatics, Graduate School of Information Science and Technology
A Semester

Students develop research and implementation skills through advanced exercises related to intelligent systems and human-centered technology.

Advanced Studies in Gerontology X / Advanced Social Informatics

Omnibus Course
A Semester

This interdisciplinary course examines the relationship among technology, aging, society, and quality of life.

OUTREACH AND PUBLIC EDUCATION

Machine Learning

Data Scientist School, The University of Tokyo

This course introduces fundamental concepts and practical methods in machine learning, with an emphasis on understanding when and how the methods should be applied.

Introduction to Human–Robot Interaction

Metaverse School of Engineering, The University of Tokyo

I have delivered age-adapted introductory lectures on human–robot interaction for elementary school students, junior high school students, and high school students and older learners. Through interactive examples and experiments, participants explore how robots can influence human trust, judgment, and communication.

INVITED LECTURES AND WORKSHOPS

I welcome invitations for academic lectures, public talks, professional training, and interdisciplinary workshops related to:

• Human–robot interaction
• Generative AI and human communication
• Empathetic and human-centered AI
• AI for well-being and mental health
• Multi-agent decision making
• Assistive technology
• Responsible and effective use of AI

For speaking or teaching inquiries, please contact:

nakagawa [@] welbe.imi.i.u-tokyo.ac.jp