Takashi Sato

教授 / Professor

Kyoto University

Japan

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About

Takashi Sato is a Professor at Kyoto University in Japan. His research focuses on advanced topics in electronics and sensor technology, including beamforming feedback for health monitoring, MOSFET capacitance characterization, and organic thin-film transistors. He has published extensively on various innovative systems such as analog in-memory accelerators and uncertainty-aware control in robotics.

Articles (17)

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (4)

Michihiro Shintani

Associate Professor

Kyoto Institute of Technology

JAPAN

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Tetsuya Ogata

JAPAN

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Jinjun Xiong

Professor

University at Buffalo

UNITED STATES

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Yasuhiro Ogasahara

National Institute of Advanced Industrial Science and Technology

JAPAN

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Takashi Sato

Research Interests

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About

Articles (17)

Comprehensive MOSFET Capacitance Characterization Based on Charge Trajectories

Beamforming Feedback-Based Respiration and Heart Rate Estimation Toward Firmware-Agnostic WiFi Sensing

Online Training and Inference System on Edge FPGA Using Delayed Feedback Reservoir

Layout Design for DNTT-Based Organic TFTs Considering Fringe Leakage Current

Low voltage operation of organic thin-film transistor with atmospheric coating of high-k polymer dielectric

Double MAC on a Cell: A 22-nm 8T-SRAM-Based Analog In-Memory Accelerator for Binary/Ternary Neural Networks Featuring Split Wordline

Modular DFR: Digital Delayed Feedback Reservoir Model for Enhancing Design Flexibility

Uncertainty-Aware Haptic Shared Control With Humanoid Robots for Flexible Object Manipulation

Aging-robust amplifier composed of p-type low voltage OTFT and organic semiconductor load

Measurement of 64 organic thin-film transistors in an array test structure using a relay-switch board for efficient evaluation of long-term reliability

Dominant Model-Parameter Determination for the Analysis of Current Imbalance Across Paralleled Power Transistors

Flex-SNN: Spiking Neural Network on Flexible Substrate

Hybrid CMOS and Pseudo-CMOS Organic Memory for Flexible Sensors

Efficient Analysis for Mitigation of Workload-Dependent Aging Degradation

VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks

Hardware-Friendly Delayed-Feedback Reservoir for Multivariate Time-Series Classification

Evaluation of thermal couple impedance model of power modules for accurate die temperature estimation up to 200 °C

Collaborators (4)

Michihiro Shintani

Tetsuya Ogata

Jinjun Xiong

Yasuhiro Ogasahara

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