Matsuda Laboratory | Nagoya University

About Our Lab

This is the official website of the Matsuda Laboratory at Nagoya University (Graduate School of Informatics). We conduct education and research activities for graduate students (Master and PhD programs), addressing social challenges through systems science, process science, modeling & simulation, and data-driven methods.

Primary areas include carbon neutrality, energy systems, environmental technologies, and healthcare systems.

For the latest updates, please also see our current site: https://sites.google.com/view/keigo-matsuda/

Members (as of the latest update on our current website)

Source reference: our current website’s member page. Member

Staff

Professor: Keigo Matsuda
Visiting Professors: Masaru Nakaiwa; Kotaro Kawajiri
Collaborating Researcher: Yutaka Yamada
Technical/Administrative Support: 1 staff member

Students

PhD (D1): Yota Fujii (Student Leader)
Master (M1): Tianhao Guo
B4: Takumi Sekiya
B4: Kazumasa Fujii

Research

Our laboratory conducts model- and experiment-based research and development across multiple temporal and spatial scales, aiming at the design and social implementation of industrial processes with energy creation/saving functions for a carbon-neutral society. We also study system development, scenario design, and interdisciplinary approaches bridging engineering and social sciences.

Keywords

Carbon Neutrality · Renewable Energy · Energy Systems · Modeling & Simulation · Complex Systems · Social Systems · Interdisciplinary Research

Representative Topics

CO₂ separation and capture technologies using membrane separation and adsorption (GX / carbon neutrality)
Ammonia resource recovery process systems from aqueous nitrogen compounds (circular economy / material cycles)
Advanced Lorenz cycle power generation and heat pumps using binary mixed refrigerants (renewable thermal energy)
High-efficiency heat pump systems for hot water supply
Healthcare DX: identifying progression factors and prevention strategies for dementia

Detailed Japanese description and figures are available on our current Research page: Research.

Education

We supervise and educate graduate students in the Master and PhD programs at Nagoya University. Students engage in systems thinking, modeling, simulation, and data-driven methods (including machine learning) to tackle real-world challenges.

Graduate supervision (Master / PhD)
Research training: modeling, simulation, experimental design, and systems approach
Interdisciplinary collaboration with academia and industry

Graduate student recruitment information is posted on our current website: Home and related university pages.

Contact

Address:
Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan

Affiliation:
Graduate School of Informatics, Nagoya University
Complex Systems Science, Matsuda Laboratory

Contact form:
https://sites.google.com/view/keigo-matsuda/contact