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Nonlinear Mathematics Lab
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The lab explores the mathematics behind nonlinear phenomena and applies it to engineering and information science.
AboutAbout the lab
Exploring what lies behind phenomena through nonlinear mathematics
The Nonlinear Mathematics Lab studies diverse phenomena that appear in engineering, information, and biological systems, describing them with nonlinear mathematical models.
The lab works on understanding the nonlinear mathematics behind these phenomena and on developing methods for analyzing nonlinear mathematical models.
It also aims to apply nonlinear mathematics to engineering and information systems.
On the lab's website, it is also introduced under the name "Suzuki Lab."
Key terms
- Nonlinear dynamics
- The behavior of systems that evolve over time according to nonlinear rules. Rich behavior can emerge from simple equations.
- Dynamical systems
- Systems whose state changes over time, expressed using maps or differential equations.
- Dimensionality reduction methods
- A framework for extracting the dominant low-dimensional structure from high-dimensional nonlinear systems that evolve over time.
NewsLab news
A paper on surfing acceleration of protons was published in Progress of Theoretical and Experimental Physics.
A paper on the formulation of large-scale binary optimization was published in Communications Physics.
A paper on coordinated movement of the fingers of both hands was published in Journal of Neurophysiology.
ResearchResearch themes
Focusing on mathematical models of a wide range of real-world phenomena, the lab aims to understand the nonlinear mathematics behind them. It also develops methods for analyzing nonlinear mathematical models and applies them to engineering and information systems.
*Illustrative imageNonlinear Dynamics and Its Applications
The lab studies the behavior of systems that evolve over time according to nonlinear rules. Centering on large-scale dynamical systems and dynamical systems with discontinuities, it models and analyzes phenomena such as those in the brain and nervous system and in power systems.
*Illustrative imageDimensionality Reduction of Nonlinear Dynamical Systems and Its Applications
The lab develops and applies dimensionality reduction methods that extract the dominant low-dimensional structure from nonlinear systems with many degrees of freedom. It works on extending these methods to hybrid dynamical systems and on analyzing cooperative phenomena such as rhythmic synchronization.
MembersFaculty
The members of the Nonlinear Mathematics Lab consist of faculty, project researchers, visiting faculty, administrative staff, students in the doctoral, master's, and undergraduate programs, and research students.As of 2026
- ProfessorHideyuki Suzuki
- Associate ProfessorSho Shirasaka
- Project Associate ProfessorWataru Kurebayashi
- Assistant Professor (Concurrent)Naoki Watamura
- Project Assistant ProfessorTakumi Minami
- Project Assistant ProfessorYusuke Miyajima
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Lorenz system r28 s10 b2-6666” Computed in Fractint by Wikimol / Public domain (cropped)
- Nonlinear Dynamics and Its Applications: “Lorenz Attractor from Gauss-Legendre” Mgolden96 / CC BY-SA 4.0 (cropped)
- Dimensionality Reduction of Nonlinear Dynamical Systems and Its Applications: “Dynsys” Oliver Knill / Public domain (cropped)
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- Related lab (システム数理学講座): “Frank-Wolfe-Algorithm” Robert Carnecky / CC BY 3.0 (cropped)
- Related lab (応用解析学講座): “Lorenz yz x 0” German A. Chernykh & Irina A. Chernykh / CC BY-SA 4.0 (cropped)
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