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Ikeguchi Lab
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The lab uses nonlinear science to analyze time series and network data.
AboutAbout the lab
Reading time series and networks through nonlinear science.
The Ikeguchi Lab studies nonlinear time series analysis, complex networks, synchronization of oscillators, and combinatorial optimization, among other topics.
Professor Ikeguchi's research field is Kansei informatics, which also extends to nonlinear science, chaos, computational neuroscience, and mathematical agriculture.
Assistant Professor Sawada works on developing causality detection methods for point processes and analyzing the dynamics of temporal networks.
Key terms
- Nonlinear time series analysis
- A method for studying data that changes over time using the ideas of nonlinear dynamics
- Complex networks
- An approach that views connections among people and things as a network of nodes and edges and studies its properties
- Combinatorial optimization
- The problem of selecting a good combination from among a large number of possible combinations
NewsLab news
Assistant Professor Kazuya Sawada received the 2025 Encouragement Award from the IEICE Technical Committee on Nonlinear Problems
Assistant Professor Kazuya Sawada received an Encouragement Award at the 2026 NOLTA Society Conference
ResearchResearch themes
The lab studies topics including nonlinear time series analysis, complex networks, synchronization phenomena in oscillators, and the development of methods for large-scale combinatorial optimization. It also works on the analysis of neural data from the brain and nervous system, and on mathematical agriculture.
View More ↗MembersFaculty
- ProfessorToru Ikeguchi
- Assistant ProfessorKazuya Sawada
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