About
Contact & Profiles
Research Areas
- Analog and Mixed-Signal Circuit Design
- Neuroscience and Neural Engineering
- VLSI and Analog Circuit Testing
- Radio Frequency Integrated Circuit Design
- Advancements in PLL and VCO Technologies
- Semiconductor Lasers and Optical Devices
- Photonic and Optical Devices
- Advanced Memory and Neural Computing
- CCD and CMOS Imaging Sensors
- Non-Invasive Vital Sign Monitoring
- Spectroscopy Techniques in Biomedical and Chemical Research
- Diabetes Management and Research
- Semiconductor materials and devices
- ECG Monitoring and Analysis
- Neural Networks and Reservoir Computing
Kyoto University
2023-2025
Kyoto College of Graduate Studies for Informatics
2025
10.1145/3658617.3698492
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EN
Proceedings of the 28th Asia and South Pacific Design Automation Conference
2025-01-20
10.1109/vlsitechnologyandcir46783.2024.10631372
article
EN
2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
2024-06-16
10.1109/norcas64408.2024.10752439
article
EN
2024-10-29
10.1109/norcas64408.2024.10752488
article
EN
2024-10-29
10.1109/icecs61496.2024.10848622
article
EN
2024-11-18
10.1109/icecs61496.2024.10848616
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EN
2024-11-18
A continuous multiple-timestep blood glucose level prediction system based on stacked long short-term memory (LSTM) is proposed for high-accuracy hypoglycemia alerts in smart contact lenses. deeper representation of input data provided by using LSTM rather than conventional vanilla LSTM, enabling higher accuracy. Python programming with the Keras library was implemented to evaluate system. The results showed a 16% improvement compared approach.
10.1109/ieeeconf58974.2023.10405113
article
EN
2023-12-07
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