Yuko Hara-Azumi

Associate Professor

Tokyo Daigaku

Japan

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About

Yuko Hara-Azumi is an Associate Professor at Tokyo Kogyo Daigaku in Japan. Her research focuses on advanced computing techniques, including deep joint source-channel coding, neural architecture search, and real-time resource allocation in various technological environments. She has contributed significantly to the development of hardware/software codesign for IoT devices and energy-efficient computing systems.

Articles (11)

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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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2022

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2022

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2020

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2020

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2020

Collaborators (1)

Yu Nakayama

Associate professor

Tokyo University of Agriculture and Technology

JAPAN

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Yuko Hara-Azumi

Research Interests

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Articles (11)

5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method

Efficient Neural Architecture Search for Split Computing via Supernet Fine-Tuning

Hardware/Software Codesign of Real-Time Intrusion Detection System for Internet of Things Devices

Hardware/Software Cooperative Design Against Power Side-Channel Attacks on IoT Devices

Mixed-precision Neural Architecture Search and Dynamic Split Point Selection for Split Computing

Power Side-channel Attack Resistant Circuit Designs of ARX Ciphers Using High-level Synthesis

Real-Time Resource Allocation in Passive Optical Network for Energy-Efficient Inference at GPU-Based Network Edge

Multimodal Neural Network Acceleration on a Hybrid CPU-FPGA Architecture: A Case Study

A Circuit-Level Amoeba-Inspired SAT Solver

Revisiting Simple and Energy Efficient Embedded Processor Designs Toward the Edge Computing

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators

Collaborators (1)

Yu Nakayama

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