
Lab Overview
Our Philosophy and Approach
Research Philosophy
Our laboratory deepens the understanding of the sophisticated information processing mechanisms of humans through biosignal modeling and analysis, machine learning, and applied system development. We aim to translate the insights gained into the creation of new technologies that contribute to society.
In our research, we emphasize a consistent approach from basic to applied levels. While theoretical exploration is important, a major characteristic of our laboratory is the utilization of "real-world data" obtained from actual clinical settings. Real data contains uncertainties such as individual differences and noise, often leading to "small data" challenges. We tackle these challenges through both experimental and theoretical approaches, working to derive valid insights from highly uncertain data.
Research Methods
Theoretical Approach
- •Mathematical models based on probability theory and statistics
- •Signal processing and time series analysis
- •Machine learning and deep learning
- •Continual learning and transfer learning
Practical Approach
- •Biosignal measurement and analysis systems
- •Medical image processing systems
- •Human interfaces
- •Industry-academia collaboration projects
Research Environment
To ensure students can fully focus on their research, each member is provided with a dedicated PC. Recognizing that these are tools for daily use, we have a flexible system that allows students to choose their preferred peripherals, such as keyboards and mice, to create an optimal setup.
For research requiring large-scale computations, such as AI and machine learning, we operate multiple shared servers equipped with the latest GPUs, including the Nvidia RTX 6000 Ada generation. We also have specialized instruments for measuring biosignals like EEG and EMG, empowering students to pursue research with a high degree of freedom, starting from the data acquisition stage itself. Furthermore, we actively engage in collaborative research with institutions both in Japan and abroad, providing an environment where research can be advanced from a global perspective.
We provide guidance tailored to each student's interests and abilities, striving to develop the skills necessary for both researchers and professionals.
Annual Schedule
April - September
- •Welcome party for new members
- •Research theme selection and basic learning
- •Mid-term presentation
October - March
- •Conference presentation preparation and participation
- •Bachelor/Master thesis writing
- •Farewell party