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We study the methods for solving problems in various areas using mathematical models. Our research topics include the development and analysis of machine learning methods and their applications to science and engineering.
1. Machine Learning
- Statistical learning theory
- Statistical signal processing based on Bayes theory
- Neural network theory
- Information geometry and information theory
- Factor analysis and sparse models
2. Mathematical Biology
- Eye movement and attention
- Motion control modeling
- Non-invasive brain-activity measurement
- Adaptive training-support systems
- Systems biology
3. Signal Processing
- Advanced driver assistance systems
- Adaptive signal processing theory and applications
- Reinforcement learning theory and applications
- Non-invasive human-machine interfaces
- Brain-computer interfaces
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